Are data centres the new EVs? (Alex Turnbull Interview)
We had Alex Turnbull on for a cracking chat about raw materials through the entire supply chain to end demand.
The discussion got in the weeds on data centres and the metals demand they’ll account for, whether the Aussie lithium sector can protect itself from wild volatility, lessons from years following met coal, whether certain parts of the world should adopt nuclear technology, the endgame for West automakers and a whole heap more.
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(0:00:00)Intro
(0:01:25)Data centres, chips and energy metals
(0:04:25)Parallels to EV craze
(0:09:51)Energy for data centres
(0:12:27)How much power 1 data centre chews?
(0:18:56)Lithium volatility
(0:25:44)Successful downstream Lithium
(0:28:49)Credit case vs equity case in failed Lithium miners
(0:30:33)Endgame for European car makers
(0:32:48)Hydropwer and China's energy market
(0:36:55)Global energy required to charge future EV's
(0:40:04)Stationary storage
(0:44:06)Met coal outlook
(0:52:25)Emergence of India
(0:54:59)Fortescue ambitions
(0:56:56)Current state of iron ore market
(0:58:42
00:00:00,080 --> 00:00:03,600
Righto muddy miners, another
Friday special, another bloody
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00:00:03,840 --> 00:00:08,400
Ripper delivered by Axis Mining
Technology, the trusted advisor
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and drill.
Our survey instrumentation and
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the trust we have for them is
probably similar to the trust we
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have with everyone else that
comes on.
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Just like this fella.
Straight from the humidity of
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Singapore.
Mr Alex Turnbull, welcome to
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Money of Mine Copper.
Thank you mate.
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You've got a light blue shirt
and I thought you're not allowed
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to wear them in Singapore cause
of the sweat.
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I thought it was white shirts
only over there.
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Poor mate.
And there's an advanced
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technological development.
You can get them made in
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Siyasaka so it just stays
slightly off your skin so you
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don't get too hot.
So I've got a lot of them in
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this climate.
There's a there's an ice vest
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under it too.
Very good.
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Probably.
Yeah, exactly.
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I've seen those people go for
runs in them.
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It's crazy.
Trav give the bloody give the
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spiel of Mr Turnbull.
Another great sub stacker out
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there.
Yeah, he writes bit of a bit of
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a frequent writer on his on his
on his sub stack, which I can't
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pronounce, so you've got to
forgive me his syncretica.
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I'm probably saying that wrong.
Syncretica, yeah.
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There we go.
But, you know, you're, you're,
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you're an investor in yeah, the
materials, energy, kind of open
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source modelling kind of like
areas maybe he previously worked
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on the, on the special seats
desk at Goldie's in on the Asian
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special suits desk and spends
plenty of time.
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I just like, you know, the way
you kind of word it to me is you
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think a lot about that interface
of, you know, data, data
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centres, chips, energy, metals.
And that's, you know, that that
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overlaps a fair bit with our
wheelhouse and what our our
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listeners think and care about
as well.
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So pretty, pretty keen to, to
explore some of the, the things
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you've been thinking about,
Alex, because you know that
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these are the themes that really
inform the commodity cycles that
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get us excited and demotivated
at the same time.
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Yeah, no, it's, it's it's
interesting.
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I mean, I've also done a bunch
of policy work with a think tank
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because one thing I guess I've
seen now we more golden special
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since we bought talus and though
the assets that became talus and
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like green bushes out of
bankruptcy and we we literally
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just underwrite the tantalum.
We didn't even think much about
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the lithium.
And then you started to have DV
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thing come along with the Nissan
Leaf.
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And one sort of consistent
pattern is is, you know, the
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tech moves that you know, are
very quick cadence, but the
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problem is getting mines up
takes 710 years.
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So there's always these kinds of
moments where something happens
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on the tech side and it leaves
miners hanging or ultimately
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something happens on the tech
side and you have a bunch of
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semiconductor companies saying I
need a 300 tonnes of 300 million
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tonnes of whatever.
And there's like literally 1/4
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of that available.
So it's interesting as investing
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because it creates these really
big displacements and shocks.
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But you got to kind of be
following both at the same time.
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But you know, it's interesting.
The way you, the way you kind of
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yeah, described it to me over
it, you know, text exchange was,
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was the, you know, the, the tech
evolves.
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You know, before the, the, the
narratives that, you know, the
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investment narratives kind of
evolve and I, I guess you know,
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naturally then you want to focus
on what, where, where is the
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tech evolving right now that
will inform kind of tomorrow's
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narratives.
And actually, like, I'm keen to
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know where are you spending a
lot of your time thinking right
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now because of the tech
evolution?
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Yeah, I think a lot of the a lot
of what's happened in batteries
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in terms of people getting all
the cobalt out, I mean that's I
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think that's largely played out.
I think that people's consensus
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numbers on cobalt demand been a
lot lower has kind of played out
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and then the split between
nickel and LFP or some people
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say sodium now I think that's
also fairly well priced.
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I'm not sure what's going to get
those two metals off the off the
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canvas, but that's I think
that's now been absorbed.
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I think what is very
controversial now is how much
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power a data centre is going to
use and is this going to be an
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additional over five years, 20%
bump to US power demand because
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given the state of permitting
and power grids and so forth,
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that's going to be very hard to
implement.
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But that would that would be a
big change to those markets.
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So spending a lot of time
looking at, you know, chip and
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data centre topology, how people
are trying to reduce power, how
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successful they've been and how
much is coming down the pipe in
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terms of energy efficiency.
So yeah, that's been spending a
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fair bit of time on that.
Optical compute, photonics,
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these sorts of things, yeah.
So if we just to get a concept
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of where you think these data
centres and you know, the world
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of semiconductors at the moment,
rewind, I don't know, four years
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ago or so when you had everyone
pivoting to the future facing
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metals, the everyone, yeah,
cobalt, cobalt was going to be
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the thing everyone getting into
nickel sulphide.
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Then obviously the, you know,
the battery uptake change to
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changed a bit and then it was
all it was all about this future
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EV demand and obviously lithium
went bloody bananas and we're
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here now and it's all just are
we at that point is that is data
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centres the new a VS from four
years ago I.
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I think so.
So thematically what happened
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was it's all it's like that's a
really good comparison because
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what happened with the EV thing
was you had policy driven
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massive push on EV demand,
particularly in China.
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And you also had a funny thing
where due to the COVID mess and
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a lot of normal ICE companies
not being able to get their
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chips made for analogue because
basically all of Malaysia got
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COVID simultaneously for about
four months straight back in
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2021.
You suddenly had Teslas were
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available that their operations
weren't interrupted.
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And suddenly there's enormous
demand for for Tesla vehicles.
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At the same time, you had all
those mines shut down.
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So you know, you're Elita Zeltur
as all these guys.
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So that just went vertical.
And similarly, what's happened
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with data centres is due to AI,
suddenly people realise they
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want to invert matrices a lot
very quickly all at once.
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So you've had this kind of
demand displacement in terms of
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compute.
What we haven't seen though is
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how people are going to kind of
tamp down that demand in terms
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of efficiencies and that's
definitely coming.
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So, so one sort of simple way to
think about it is that anytime
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you run something along copper
wire, you've got some resistive
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losses.
So you know, you take two sides
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of an, I don't know if you were
terrible pyromaniacs as
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children, but I was two sides of
a 9 Volt battery.
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Run a copper wire through it or
try to make an electromagnet
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gives off a lot of heat.
If you move that to optical to
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light, then there's no heat
losses.
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So that's a matter that's.
So the real, the question
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abstractly is how much
computation can you do with as
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little electrical as possible.
And that's what, you know,
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people in physical labs are
exploring the boundaries of, but
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there's a lot of products coming
to market which will facilitate
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a good chunk of that.
So what's the if you want to
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hide in on the actual metals
between the construction of the
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data centres and the power
supply, what are going to be the
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what, what are the the big
ticket items at the moment from
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the first pass you'd say?
Yeah, I mean, definitely it's
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just, I mean, right now it's a
lot of so in terms of not so
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much metals themselves, but you
see like a lot of the to to
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dissipate all this hate.
It's just it's a lot of HVAC,
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it's a lot of heat management
companies like Vertiv in the US
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and just also just you know,
simple high voltage switches.
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So I think the Beige Book came
out last night.
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We've now got run running four
straight years of electoral
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components being in shortage in
the US between, you know,
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renewables, build out data
centres and so forth.
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So people who make just basic
switch gears and stuff like that
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or are busy.
So businesses are doing well.
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I think in Australia you've got
various, you know, contractors
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and electrical who are still
absolutely booked out here.
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Comical stories of, of how hard
it is to get good electricians,
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particularly in regional areas.
And I think that's, that's
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pretty much ongoing.
So that, that's one stylized
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fact.
In terms of the metals demand
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currently, it's quite very
copper intensive.
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But what I'm looking at is how
copper intensive data centre
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plans people have planned out
for 2027 versus something
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they've built over the last 18
months and it's quite a big
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difference.
So that's only I'm trying to get
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some hard numbers around.
It's a this might be a dumb
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question, but with data centres
in the heat and everything is
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does silver ever come into play
as a better conductor of
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electricity?
What the best conductor or is
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it?
Is that never going to be a
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thing?
Not too expensive in in terms of
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the heat dissipation and
everything.
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Not not, I don't think so.
What's Silver's kind of
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interesting right now is that
it's a lot of it's used in
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solar.
There are technologies to get
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that, to get the silver out of
solar if you go to hetero
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junctions and there's guys like
Sun Drive and a couple of
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companies in Germany.
But what's interesting is, is
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that because the sector's so
been so bombed out, no one's
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00:09:14,240 --> 00:09:16,080
going to do the CapEx to get rid
of the silver.
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00:09:16,400 --> 00:09:20,200
So the silver intensity is going
to stay and be very high and you
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00:09:20,200 --> 00:09:24,240
can run numbers which are not
even close to crazy where silver
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00:09:24,240 --> 00:09:28,280
starts to become, you know, mid
30% of total global silver
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00:09:28,280 --> 00:09:32,200
production just for solar.
And so that that's a metal which
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00:09:32,200 --> 00:09:35,360
could get very silly over the
next couple of years if people
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don't make that technology
switch.
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And no one's going to put that
money in to make that technology
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switch when they're making a
negative 20% gross margins as a
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lot of these guys are.
So that that's a metal, which is
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kind of set up an interesting
way where it could get quite
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00:09:49,440 --> 00:09:51,040
bananas for a little while,
frankly.
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I, I think the, the elephant in
the room with regards to, to
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data centres is energy and where
the old energy will come from.
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That's obviously been a big
talking point, at least in the,
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00:10:00,440 --> 00:10:02,640
the kind of circles that that we
speak in.
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What have you sort of learnt
from from diving in to this at a
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00:10:05,640 --> 00:10:06,840
sort of broader level to start
with?
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00:10:07,880 --> 00:10:09,400
Yeah.
So I mean, if you think about, I
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mean, data centre, basically
they want to keep the ships,
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let's call it that sort of more
or less atmosphere, you know,
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ASM like atmospheric
temperature, so 20 to 40° C, You
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don't want it to get too cold,
too hot.
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The interesting thing for a lot
of these data centres is that
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because they've only just become
insanely power intensive quite
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00:10:30,080 --> 00:10:33,320
quickly on the AI side in terms
of, you know, unit per square
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metre footprint, there's a lot
of stuff you can do.
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And they're also, they're
normally big flat, you know,
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it's not like a vertical
building.
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00:10:42,520 --> 00:10:44,640
So there's all sorts of stuff
going on right now.
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00:10:44,720 --> 00:10:47,680
People are saying, well, maybe
we just put a bunch of solar
204
00:10:47,680 --> 00:10:50,640
panels on it and we just freeze
a bunch of water during the day
205
00:10:50,640 --> 00:10:52,720
and we just use that as like an
ice battery.
206
00:10:53,280 --> 00:10:55,960
There's a lot of sort of
efficiencies to squeeze out of
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00:10:55,960 --> 00:10:57,800
these things that have largely
not happened yet.
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00:10:59,480 --> 00:11:02,520
I think for in terms of like,
you know, is coal going to stay
209
00:11:02,520 --> 00:11:05,320
on the grid or is it going to
continue to retire on as per
210
00:11:05,320 --> 00:11:08,920
projections, you know, 3-4 years
ago that what matters is a total
211
00:11:08,920 --> 00:11:13,240
power demand.
And what I'm saying is that I
212
00:11:13,240 --> 00:11:16,200
think people's estimates are,
are way too high right now.
213
00:11:16,200 --> 00:11:19,320
They're going to come down to
these efficiencies at the at the
214
00:11:19,520 --> 00:11:23,040
ship's level.
But it's, I think in the short
215
00:11:23,040 --> 00:11:25,760
term, yeah, if you've got a coal
plant which is due to retire in
216
00:11:25,760 --> 00:11:28,360
2028, it's probably going to get
punted for an extra 2 years at
217
00:11:28,360 --> 00:11:30,760
this point.
And is that, is that a trend you
218
00:11:30,760 --> 00:11:32,760
see across across the Western
world?
219
00:11:32,760 --> 00:11:35,600
Is there sort of, you know,
disparities in that and how it
220
00:11:35,600 --> 00:11:38,160
might, you know, play out in in
China versus America versus
221
00:11:38,160 --> 00:11:44,760
Australia?
I think so essentially in places
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00:11:44,920 --> 00:11:48,280
where you have very easy
permitting to build renewables
223
00:11:48,280 --> 00:11:51,480
or batteries or what have you,
you still get pushed out faster.
224
00:11:51,480 --> 00:11:53,960
So Germany's done all sorts of
stupid things with their energy
225
00:11:53,960 --> 00:11:58,600
policy, mostly around nuclear,
egregiously so.
226
00:11:58,600 --> 00:12:00,520
But on the other hand, they have
very permissive permitting.
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00:12:00,520 --> 00:12:02,160
So just getting stuff built is
easy.
228
00:12:02,600 --> 00:12:04,360
It's a little bit like
Queensland, but you've got that
229
00:12:04,360 --> 00:12:07,440
coordinator general thing.
So just like actually getting
230
00:12:07,440 --> 00:12:08,920
poles and wires done is just
simpler.
231
00:12:10,320 --> 00:12:14,360
So yeah, we're in places where
you can build the substitute or
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00:12:14,360 --> 00:12:17,560
the other sources of power
things get pushed out quickly,
233
00:12:17,560 --> 00:12:20,400
but where you can't build
because you've just got a crazy
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00:12:20,400 --> 00:12:24,640
permitting mess.
Like, I don't know, you know,
235
00:12:24,640 --> 00:12:27,200
the Northeast US or California
things got a bit more slightly.
236
00:12:28,320 --> 00:12:30,600
Is there is there any numbers
you can wrap around the power
237
00:12:30,600 --> 00:12:34,800
required for these data centres?
Like as a comparison to to
238
00:12:34,800 --> 00:12:38,280
something else, like how energy
intensive they actually are.
239
00:12:39,920 --> 00:12:41,160
Yeah.
I mean, look that people are
240
00:12:41,160 --> 00:12:44,360
talking about a one GW data
centre that's like a, that's a,
241
00:12:44,880 --> 00:12:48,040
that's a, that's a, that's a
big, yeah.
242
00:12:48,040 --> 00:12:49,880
So, so there's one being
planned.
243
00:12:49,880 --> 00:12:53,680
But then they're also looking at
reducing the switching
244
00:12:53,680 --> 00:12:58,520
interconnect costs using some
technology by about 80%.
245
00:12:58,960 --> 00:13:03,400
So you know, there's this race
between actually demand for this
246
00:13:03,400 --> 00:13:05,960
stuff and, and the efficiencies
are really starting to come
247
00:13:05,960 --> 00:13:07,760
through.
Whereas no one was really
248
00:13:07,760 --> 00:13:11,680
engineering this stuff from a
power point of view, you know,
249
00:13:11,680 --> 00:13:15,840
with a big focus on power until
1218 months ago when the
250
00:13:15,840 --> 00:13:18,280
densities got to the point where
you had to start spending crazy
251
00:13:18,280 --> 00:13:22,240
amounts on getting liquid.
Like a like you'd be like a
252
00:13:22,240 --> 00:13:26,040
liquid cooling interconnect to a
chip which pushes through a
253
00:13:26,040 --> 00:13:28,280
liquid to take off the heat
because you can't actually do it
254
00:13:28,280 --> 00:13:30,560
through airflow anymore.
Any degree of reasonable
255
00:13:30,560 --> 00:13:33,320
efficiency.
So there's a lot, lot of moving
256
00:13:33,320 --> 00:13:34,960
pieces right now.
I feel like it's a little bit
257
00:13:34,960 --> 00:13:38,120
like battery cathodes were like
two years ago where nickel and
258
00:13:38,120 --> 00:13:42,640
cobalt were nuts.
And suddenly people in whatever
259
00:13:42,680 --> 00:13:45,560
the physics of the, sorry, the
chemistry lab at CATL and so
260
00:13:45,560 --> 00:13:47,960
forth were told, all right,
guys, like, you know, if you
261
00:13:47,960 --> 00:13:50,840
want to get promoted in this
organisation, you need to thrift
262
00:13:50,840 --> 00:13:52,760
a lot of the expensive stuff so
you get to work.
263
00:13:52,760 --> 00:13:54,200
And that kind of happened,
right?
264
00:13:55,640 --> 00:13:57,640
So I think we'll see more of
that sort of thing.
265
00:13:58,040 --> 00:13:59,720
Right.
So that's what, what, 5 to $10
266
00:13:59,720 --> 00:14:03,640
billion just to power a data
centre without building the data
267
00:14:03,640 --> 00:14:06,160
centre effectively, Like if
you've got to build a one GW
268
00:14:06,160 --> 00:14:08,640
reactor to power it.
Yeah, yeah.
269
00:14:08,760 --> 00:14:12,400
If you, yeah, if you want to
build a nuclear reactor to pair
270
00:14:12,400 --> 00:14:15,360
with A1 gig data centre, it's
it's pretty crazy stuff.
271
00:14:15,400 --> 00:14:18,440
A lot of the really big ones and
really crazy projects are in the
272
00:14:18,440 --> 00:14:23,080
Middle East, but there's also a
lot of them where you're saying
273
00:14:23,080 --> 00:14:26,720
in the US there's one big Amazon
centre where they basically
274
00:14:26,720 --> 00:14:29,760
teamed up with an existing
nuclear plant to take the whole
275
00:14:29,760 --> 00:14:31,880
offtake and.
That's that does it matter
276
00:14:31,880 --> 00:14:34,760
where, where the data centres
are built, where they emerge,
277
00:14:34,760 --> 00:14:36,640
They just will they naturally
emerge where there is a, you
278
00:14:36,760 --> 00:14:40,320
know, a glut of, of, of low cost
energy or is, or is there like
279
00:14:40,320 --> 00:14:42,880
more to it?
It depends.
280
00:14:42,880 --> 00:14:47,120
I mean, so, so you know,
obviously if you there's latency
281
00:14:47,120 --> 00:14:50,080
as an issue.
So if you, if you're whatever
282
00:14:50,080 --> 00:14:54,080
requests information from, I
don't know, a Spotify server on
283
00:14:54,080 --> 00:14:57,840
AVPN, it's just laggy.
And that's annoying if you
284
00:14:58,320 --> 00:15:00,280
request it from somewhere
locally.
285
00:15:00,280 --> 00:15:03,200
So distance is important for
certain applications.
286
00:15:03,520 --> 00:15:05,800
But if you're just doing a big
training run, like you're
287
00:15:05,800 --> 00:15:10,480
ingesting some obscene amount of
data to make GPT 5 or whatever,
288
00:15:10,960 --> 00:15:13,840
location doesn't really matter.
So try, so I think for
289
00:15:13,840 --> 00:15:16,920
inference, which is where you
actually, you know, actually run
290
00:15:16,920 --> 00:15:18,920
a question to the model and get
a reply.
291
00:15:19,720 --> 00:15:21,960
You, you obviously don't want to
be waiting 5 seconds for a
292
00:15:21,960 --> 00:15:24,600
reply, but if you're just doing
a big training run, I mean, you
293
00:15:24,600 --> 00:15:26,200
don't care.
That's not something you as a
294
00:15:26,200 --> 00:15:30,200
consumer observe.
So they what about the modelling
295
00:15:30,200 --> 00:15:33,640
of it is like where is it sit at
the moment about all this, the
296
00:15:33,840 --> 00:15:36,640
power required and the copper
required for data centres.
297
00:15:36,640 --> 00:15:40,960
Is this like one, how much, how
much exists at the moment and
298
00:15:40,960 --> 00:15:45,000
what is being modelled for the
future projections of these data
299
00:15:45,000 --> 00:15:47,560
centres or is it, yeah, very
opaque at the moment.
300
00:15:48,240 --> 00:15:50,600
It's, it's pretty opaque.
So if you look at, if you go to
301
00:15:50,960 --> 00:15:54,360
your friendly neighbourhood
consultants at Woodmac and so
302
00:15:54,360 --> 00:15:56,960
forth and they try to give you a
sense, you sort of and you poke
303
00:15:56,960 --> 00:16:01,200
them pretty hard on the details,
which is what I like to do find
304
00:16:01,200 --> 00:16:04,600
there's not as much there, which
is why I've been spent a lot of
305
00:16:04,600 --> 00:16:07,840
time talking to interconnect
companies and other sort of
306
00:16:08,040 --> 00:16:10,720
businesses to really get my head
around what those actual numbers
307
00:16:10,720 --> 00:16:14,320
are.
I think right now they're pretty
308
00:16:14,320 --> 00:16:15,800
accurate on what the intensity
is now.
309
00:16:15,840 --> 00:16:17,280
I think they can tell you where
we are today.
310
00:16:18,080 --> 00:16:21,600
I think going forward, some of
their projections, if you look
311
00:16:21,600 --> 00:16:26,040
at various ways companies have
thrifting on power and normally
312
00:16:26,600 --> 00:16:28,320
thrifting on power means
thrifting on COP.
313
00:16:28,560 --> 00:16:31,400
They're kind of the same thing
for that fundamental physical
314
00:16:31,400 --> 00:16:34,640
reason.
Those things are going to pick
315
00:16:34,640 --> 00:16:37,160
up in a quite a big way, but
really not for the next 18
316
00:16:37,160 --> 00:16:40,800
months, I would say just in
terms of the late times of how
317
00:16:40,800 --> 00:16:43,880
people plan this stuff out.
But once that starts to hit,
318
00:16:43,880 --> 00:16:46,560
it'll, I think it'll be, it'll
feel a little bit like what
319
00:16:46,560 --> 00:16:48,680
happened with battery metals
once all the Indonesian nickel
320
00:16:48,680 --> 00:16:53,440
supply starts to come on or once
all the mysterious spodumain out
321
00:16:53,440 --> 00:16:57,240
of Africa started to turn up and
people supply demand balances.
322
00:16:57,240 --> 00:16:59,520
But no one could really track it
at the port level that well.
323
00:16:59,840 --> 00:17:02,960
So I, I think it's going to be
the short like it's like a lot
324
00:17:02,960 --> 00:17:04,839
of things in commodities.
In the short run, momentum tends
325
00:17:04,839 --> 00:17:08,599
to work, but in the long run,
you know main reversions are a
326
00:17:08,599 --> 00:17:11,400
real pain in the bum.
Well all this bloody all that,
327
00:17:11,599 --> 00:17:15,280
the heat coming out of these
these data centres and the
328
00:17:15,440 --> 00:17:17,560
bloody the water cooling
required.
329
00:17:17,560 --> 00:17:20,680
Mate, I'm bloody thirsty.
If I can feel the heat, drink it
330
00:17:20,680 --> 00:17:26,720
out of my green water bottle.
Geez that just just green lands
331
00:17:26,720 --> 00:17:31,040
popped in me head.
Green water bloody tell you what
332
00:17:31,400 --> 00:17:34,120
isn't.
Ohh mate, have a have a look at
333
00:17:34,120 --> 00:17:35,800
this.
You've got me.
334
00:17:35,880 --> 00:17:38,120
Pipes.
Wow, water pipes.
335
00:17:38,280 --> 00:17:43,120
Jesus, pipes pipes, pipes.
There is water pipes flying out
336
00:17:43,120 --> 00:17:46,000
the door at Greenlands.
Talk about moving a shit tonne
337
00:17:46,000 --> 00:17:48,160
of water.
Look at the size of these pipes.
338
00:17:48,160 --> 00:17:50,200
They could transport a lot of
water, they could cool data
339
00:17:50,200 --> 00:17:51,480
centres, they could build mines,
they could.
340
00:17:51,720 --> 00:17:55,120
But they could transport iced
water to go straight into the
341
00:17:55,120 --> 00:17:57,840
data centre to keep that bastard
at 20 to 40.
342
00:17:57,840 --> 00:18:00,800
You want water, you don't want
water, They'll they'll fix it
343
00:18:00,800 --> 00:18:03,120
both for you, right?
10K10K.
344
00:18:03,240 --> 00:18:06,160
If you don't know if you want
water or don't on it, I'll tell
345
00:18:06,160 --> 00:18:08,840
you if you need it or not.
Simple as that.
346
00:18:09,040 --> 00:18:12,720
So make pipes, buddy.
Hey, they're freaking huge.
347
00:18:12,840 --> 00:18:14,240
Think water.
Think Greenlands.
348
00:18:14,520 --> 00:18:16,320
Very easy.
Think data centres.
349
00:18:16,320 --> 00:18:20,880
Think Greenlands.
And the the to your to build on
350
00:18:20,880 --> 00:18:24,640
your analogy to EVs Maddie, like
the the flimsy part, I imagine
351
00:18:24,640 --> 00:18:28,320
is just, you know, projecting
what the the the intensity is
352
00:18:28,320 --> 00:18:30,800
actually going to be over time.
Like how how how how?
353
00:18:31,560 --> 00:18:33,840
Well, that's, that's what
happened with, didn't it?
354
00:18:33,840 --> 00:18:36,640
Isn't that what also happened in
the lithium modelling, how they,
355
00:18:36,760 --> 00:18:39,360
yeah, they got wrong the actual
amount of lithium intensity
356
00:18:39,360 --> 00:18:43,000
going into the batteries, Yeah.
And was kind of confused with
357
00:18:43,000 --> 00:18:45,160
the inventory levels, right?
Yeah, we didn't know what was
358
00:18:45,160 --> 00:18:46,800
sitting, you know, at the the
battery.
359
00:18:46,800 --> 00:18:51,440
Maker, just a big ball of fuck.
Yeah, I mean it's so it's funny
360
00:18:51,440 --> 00:18:53,520
on the lithium thing.
So paper just came out with a
361
00:18:53,720 --> 00:18:55,440
normally what they do is they
pre lithiate.
362
00:18:55,440 --> 00:18:58,840
So they sort of charge the
battery slightly, let it sort of
363
00:18:58,840 --> 00:19:02,280
marinate for a period of time in
order to develop an interface
364
00:19:02,280 --> 00:19:06,800
layer on the anode, right.
And so people just tried, why
365
00:19:06,800 --> 00:19:08,960
don't we just run a bunch more
current through it all, more
366
00:19:08,960 --> 00:19:12,160
lithium out of the solution,
have a thicker interface layer.
367
00:19:12,160 --> 00:19:13,880
And what does that do to the
properties of battery and
368
00:19:13,880 --> 00:19:16,560
actually means you can get
almost double the cycle life.
369
00:19:16,560 --> 00:19:19,480
So great.
But this is, you know, it's
370
00:19:19,480 --> 00:19:22,000
funny you read these chemistry
papers and some guys like, oh,
371
00:19:22,000 --> 00:19:24,040
look, I've doubled the cycle up.
I'm like, good for you, pal.
372
00:19:24,560 --> 00:19:27,800
And they're like, yeah, but we
need like 25% more lithium per
373
00:19:27,800 --> 00:19:30,240
kWh.
Now I'm like, that is that is
374
00:19:30,240 --> 00:19:31,800
actually a big deal and
resources.
375
00:19:32,240 --> 00:19:40,240
So it's funny how there's people
on the yeah, I think there's
376
00:19:40,240 --> 00:19:45,280
often a lot of upside in talking
to nerds in chemistry labs, or
377
00:19:45,280 --> 00:19:48,160
at least the people who tell you
at the battery companies where
378
00:19:48,160 --> 00:19:52,440
their next sort of essentially
cathode plans are, because it
379
00:19:52,440 --> 00:19:55,240
has huge effects on supply
demand balances and this stuff.
380
00:19:56,000 --> 00:19:58,880
And yet you know that I find the
consultants or at least the
381
00:19:58,880 --> 00:20:01,120
people who produce the estimates
of long term supply demand
382
00:20:01,120 --> 00:20:03,360
balances are not super
responsive to what's going on
383
00:20:03,360 --> 00:20:05,640
there.
Alex, you've, you've written a,
384
00:20:05,640 --> 00:20:09,040
a fair bit talking about lithium
and how the, the Aussie industry
385
00:20:09,040 --> 00:20:13,200
and, and Western industries more
broadly can kind of insulate
386
00:20:13,200 --> 00:20:15,240
them from the, the volatility
that we've seen.
387
00:20:15,240 --> 00:20:18,800
You know, with prices running up
to 8000 now down to a bit over
388
00:20:19,200 --> 00:20:21,080
700 bucks.
I think to, to start, it'd be
389
00:20:21,080 --> 00:20:25,320
good to get a bit of a flavour
for how you sort of put this
390
00:20:25,320 --> 00:20:26,480
forward.
I know you've spoken about sort
391
00:20:26,480 --> 00:20:28,720
of strategic reserves.
I'm not sure if you're thinking
392
00:20:28,720 --> 00:20:30,840
has evolved since you you wrote
about this.
393
00:20:31,680 --> 00:20:35,240
Yeah, no, definitely.
I mean, the, so my thinking on
394
00:20:35,240 --> 00:20:38,600
this comes from doing far too
many lithium bankruptcies.
395
00:20:38,920 --> 00:20:44,840
So, you know, obviously Talison
got sold out of Sons of Gualia,
396
00:20:44,840 --> 00:20:46,760
which is they messed up their
gold hedge in that's another
397
00:20:46,760 --> 00:20:49,320
story entirely.
But then you had sort of another
398
00:20:49,320 --> 00:20:52,920
wave of failures where Galaxy
almost sort of drop dead.
399
00:20:54,520 --> 00:20:56,920
You then had the wave of
bankruptcies with sort of Alita
400
00:20:56,920 --> 00:21:02,160
Altura and so forth.
And the problem is that from a
401
00:21:02,400 --> 00:21:05,040
policy point of view, so say
you, you, you're a government,
402
00:21:05,040 --> 00:21:06,920
you want everyone to
decarbonize, you need lithium,
403
00:21:07,360 --> 00:21:09,800
cool.
But you need capital to commit
404
00:21:09,800 --> 00:21:11,960
to that.
And there's this end point of,
405
00:21:12,120 --> 00:21:15,920
OK, 2,000,000 tonnes, 3,000,000
tonnes, LC demand out 2030,
406
00:21:15,920 --> 00:21:20,920
whatever your number is.
But to get there, you know, you
407
00:21:20,920 --> 00:21:24,160
as an investor need to have the
company survive and not die all
408
00:21:24,160 --> 00:21:26,960
the time.
And that's pretty challenging,
409
00:21:26,960 --> 00:21:30,200
historic.
And so what's banned also for
410
00:21:30,200 --> 00:21:32,760
large companies, they tend to
under invest because they know
411
00:21:33,600 --> 00:21:35,680
these oversupply periods are
brutal.
412
00:21:36,200 --> 00:21:39,120
Part of the problem with lithium
is that you can't really store
413
00:21:39,120 --> 00:21:41,600
the end product.
So hydroxide, if you try to
414
00:21:41,600 --> 00:21:46,440
store that, but more than 12
months, it's very aquaphilic.
415
00:21:46,440 --> 00:21:48,880
It basically absorbs water in
the atmosphere and turns into
416
00:21:48,880 --> 00:21:51,600
sludge.
Carbonate's a bit better, but
417
00:21:51,600 --> 00:21:54,840
not a lot better.
So the way you kind of would
418
00:21:54,880 --> 00:21:59,000
manage a market like this is
being able to store Spodumain in
419
00:21:59,000 --> 00:22:04,000
some way that the problem is, is
that if you want to do some sort
420
00:22:04,000 --> 00:22:08,120
of physical trade where you say
buy a bunch of copper on the LMA
421
00:22:08,520 --> 00:22:10,600
and then head to the futures
curve is slipping upwards.
422
00:22:10,600 --> 00:22:11,920
You can hedge that a couple of
years out.
423
00:22:11,920 --> 00:22:14,800
You can you can get like a good
bit of leverage from bank on
424
00:22:14,800 --> 00:22:16,760
that.
You can't do any of that in
425
00:22:16,760 --> 00:22:20,600
spodumain because there's no
there's no futures, there's no
426
00:22:20,600 --> 00:22:25,920
warehousing infrastructure and
there's no financing as a result
427
00:22:25,920 --> 00:22:28,280
of that.
So This is why we kind of
428
00:22:28,280 --> 00:22:32,440
overshoot all the time in
lithium because there's no real
429
00:22:32,440 --> 00:22:34,200
bank funding.
It's kind of the difference
430
00:22:34,200 --> 00:22:38,120
between a market where you've
got strategic demand for storage
431
00:22:38,120 --> 00:22:43,320
and physical where you know, I
can go out and buy it and put it
432
00:22:43,320 --> 00:22:45,840
in a warehouse and so forth as a
fund.
433
00:22:45,840 --> 00:22:48,480
I can't do that in spudgering.
So trying to work out how to
434
00:22:48,480 --> 00:22:51,480
make sponge in a little bit more
of a drawn up LME style market
435
00:22:51,480 --> 00:22:54,320
is a isn't, I think important
because otherwise we'll get
436
00:22:54,320 --> 00:22:56,560
short again.
It'll take ages, people to put
437
00:22:56,560 --> 00:22:58,440
supply on and we'll be up at
some crazy level.
438
00:22:58,440 --> 00:23:02,040
And then the governments will be
upset because people don't want
439
00:23:02,040 --> 00:23:03,480
to buy these because they're
expensive again.
440
00:23:03,600 --> 00:23:07,000
And that's sort of that sort of
ping pong thing is not ideal.
441
00:23:07,080 --> 00:23:09,320
There's some bag holders that
have really opened.
442
00:23:09,320 --> 00:23:11,520
That happens.
On the.
443
00:23:12,000 --> 00:23:15,320
Stocks.
Yeah, I mean, so the way I model
444
00:23:15,320 --> 00:23:19,840
it is that if I if you're say
we're at whatever 700 bucks spot
445
00:23:19,880 --> 00:23:24,480
right now, if you think the long
term incentive price for spot is
446
00:23:24,480 --> 00:23:28,160
say 1500 bucks or probably high
if you're talking to someone
447
00:23:28,160 --> 00:23:32,560
like Patron Metals or Minarez or
what have you, then it is vastly
448
00:23:32,560 --> 00:23:35,400
more appealing to just sit on a
bunch of physical.
449
00:23:35,400 --> 00:23:38,080
You can store it cheaply and the
great thing about spot is it's
450
00:23:38,080 --> 00:23:40,320
not very reactive.
You can store it on a womb pad
451
00:23:40,320 --> 00:23:42,520
for a long time and and float it
later.
452
00:23:42,520 --> 00:23:44,200
I mean, that's certainly
happened out of bankruptcies
453
00:23:44,200 --> 00:23:48,720
before than it is to keep on
tripping money into some junior
454
00:23:48,720 --> 00:23:53,160
mining team who are still going
to conferences, still have too
455
00:23:53,160 --> 00:23:57,760
much SGNA, you know, not it's a
basically like there's a lot of
456
00:23:57,760 --> 00:23:59,920
negative carry.
I would say in the sense of like
457
00:23:59,960 --> 00:24:03,720
the cost to play in a mining
company, which is below it's,
458
00:24:04,200 --> 00:24:07,360
you know, all the AISC is a lot
higher than just sitting on
459
00:24:07,360 --> 00:24:10,400
rocks.
So, you know, a lot of people
460
00:24:10,400 --> 00:24:14,000
want in physical training,
they'll just accumulate physical
461
00:24:14,000 --> 00:24:16,120
rather than trying to mess
around with junior miners and
462
00:24:16,120 --> 00:24:17,800
all the all the risks associated
with them.
463
00:24:18,280 --> 00:24:21,280
So essentially but but that's
part of the reason why stuff
464
00:24:21,280 --> 00:24:23,880
like copper and zinc tend to
normalise a bit faster and be a
465
00:24:23,880 --> 00:24:25,400
little bit more better behaved
markets.
466
00:24:26,440 --> 00:24:29,280
So are you saying this, you know
this, this does happen, but it
467
00:24:29,280 --> 00:24:31,720
tends to happen perhaps with
commodity traders and people
468
00:24:31,720 --> 00:24:36,040
more in private markets that
we're not as sort of Privy to?
469
00:24:37,520 --> 00:24:39,040
Yeah.
I mean, so commodity traders can
470
00:24:39,040 --> 00:24:40,880
take a view.
I mean, I'll give you an
471
00:24:40,880 --> 00:24:43,080
example.
In 2015, it's fairly well known
472
00:24:43,880 --> 00:24:46,640
Glencore accumulated a massive
position in zinc and then
473
00:24:46,640 --> 00:24:49,000
preceded to shut down some of
those zinc capacity, which is
474
00:24:49,640 --> 00:24:52,040
pretty clever depending on how
you look at things.
475
00:24:52,480 --> 00:24:55,080
But that's, you know, you can't
actually accumulate that
476
00:24:55,080 --> 00:24:57,600
physical leg in lithium.
You basically just have to take
477
00:24:57,600 --> 00:25:01,840
the corporate risk and if you
want to mess around with futures
478
00:25:02,000 --> 00:25:05,080
on, it's all cash settled.
That's all references, Asian
479
00:25:05,080 --> 00:25:08,160
prices, there's a little bit of
bubbly wobbly stuff in terms of
480
00:25:08,640 --> 00:25:10,920
how accurate those prices are.
And then you know, there's stuff
481
00:25:10,920 --> 00:25:13,400
you can't store, you can't sit
on it for more than about 12
482
00:25:13,400 --> 00:25:18,120
months at best.
So that means if you, if you're
483
00:25:18,120 --> 00:25:20,800
going to bet on the physical
market normalising, it's going
484
00:25:20,800 --> 00:25:23,120
to happen in 12 months or else
you've got to flog your
485
00:25:23,120 --> 00:25:25,080
inventory very quickly before it
goes bad.
486
00:25:25,600 --> 00:25:28,240
Whereas if I just want to make
you like cop cathode, I can sit
487
00:25:28,240 --> 00:25:30,960
on that for a more or less
indefinite period of time.
488
00:25:31,840 --> 00:25:35,360
And so essentially long term,
long term value investing in
489
00:25:35,360 --> 00:25:38,880
physical is not possible on
lithium, which is why it feels
490
00:25:38,880 --> 00:25:42,000
like a very cracked out market
wherever on short term because
491
00:25:42,000 --> 00:25:43,760
they kind of have to be as a
current stats.
492
00:25:44,760 --> 00:25:48,320
So on, on a slightly different
tech, we've seen a lot of the
493
00:25:48,320 --> 00:25:52,120
companies down here try to go
downstream IGO Minres briefly
494
00:25:52,120 --> 00:25:56,200
before they, they sold out.
You've also sort of, you know,
495
00:25:56,200 --> 00:25:58,080
in tandem seen a lot of
discussion with, with
496
00:25:58,080 --> 00:26:00,480
governments encouraging it and
what not.
497
00:26:00,480 --> 00:26:02,280
What, what are the kind of views
you've come to take it?
498
00:26:02,280 --> 00:26:05,200
You, you spend a lot of time
looking at, at Asia, you know,
499
00:26:05,280 --> 00:26:07,800
cattle and the like, who've
done, you know, phenomenally
500
00:26:07,800 --> 00:26:11,800
well in their sort of iteration
and and learning turnover.
501
00:26:12,240 --> 00:26:14,720
Why have we struggled so much in
Australia?
502
00:26:16,160 --> 00:26:19,120
I think a lot of, I mean,
building a refinery is to a
503
00:26:19,120 --> 00:26:21,160
certain extent it's easier if
you've done them before.
504
00:26:21,200 --> 00:26:23,520
And of course China's built a
lot of lithium refining
505
00:26:23,520 --> 00:26:25,720
capacity.
There's also just some of it's
506
00:26:25,720 --> 00:26:28,200
just the same reason why it
costs a lot to build a railway
507
00:26:28,200 --> 00:26:30,240
in Australia versus bilbon in
China.
508
00:26:30,240 --> 00:26:33,560
It's just labour costs,
efficiencies.
509
00:26:35,800 --> 00:26:39,880
You know, some people would
point to C, FM, EU, no
510
00:26:39,960 --> 00:26:43,040
particular opinion on my side
there, but it's just, it's the
511
00:26:43,040 --> 00:26:46,880
reason why I built cost building
stuff in, you know, a lot more
512
00:26:46,880 --> 00:26:49,160
developed jurisdictions is just
generally more costly.
513
00:26:49,160 --> 00:26:51,400
There's no, there's no mystery
there.
514
00:26:52,280 --> 00:26:58,720
I think the issue is, is that
the producers, the advantage of
515
00:26:58,720 --> 00:27:02,200
having downstream is that you
are selling a end product which
516
00:27:02,200 --> 00:27:05,440
can be sold directly to Japan or
Korea or where or the US or what
517
00:27:05,440 --> 00:27:07,920
have you.
Whereas if you're selling spod,
518
00:27:08,120 --> 00:27:10,440
to a certain extent, you are at
the mercy of whatever the
519
00:27:11,640 --> 00:27:16,640
Chinese market is doing.
And so you particularly in a
520
00:27:16,640 --> 00:27:20,160
bear market, the discounts and
physical spot can be pretty
521
00:27:20,160 --> 00:27:22,240
terrible.
And so that's what's led to a
522
00:27:22,240 --> 00:27:24,800
lot of mine failures and
closures also means if you're
523
00:27:24,800 --> 00:27:27,800
selling spot to China, you're
facing someone in Shanghai.
524
00:27:28,200 --> 00:27:33,240
The understanding of talk law
and enforceability of contracts
525
00:27:33,240 --> 00:27:35,640
is going to be very different to
you, historically speaking.
526
00:27:35,640 --> 00:27:38,440
So we've seen a lot of
situations like with a leader
527
00:27:38,440 --> 00:27:41,920
where the Chinese off taker just
said, actually, no, I don't want
528
00:27:41,920 --> 00:27:45,240
to take it to the 800 bucks
anymore spot 650 and they get
529
00:27:45,240 --> 00:27:47,600
the company ran out of cash in
two months or so.
530
00:27:48,080 --> 00:27:50,720
So there's a there's a credit
risk mitigating thing there too.
531
00:27:51,680 --> 00:27:55,080
So I think there's but you know,
this is another thing.
532
00:27:55,080 --> 00:27:57,440
It's essentially do order
companies and people who are
533
00:27:57,440 --> 00:28:05,200
buyers of chemicals want to have
an enforceable, stable contract
534
00:28:05,200 --> 00:28:06,560
chamber.
They want something which is
535
00:28:06,560 --> 00:28:08,840
going to be very cheap when it's
good, very expensive when it's
536
00:28:08,840 --> 00:28:11,040
not, and very unreliable at any
given point in time.
537
00:28:11,720 --> 00:28:16,080
And so there's a there's sort of
a security versus price trade
538
00:28:16,080 --> 00:28:19,440
off here, which people are kind
of ignoring, but tends to bite
539
00:28:19,440 --> 00:28:21,440
them on the bum at the worst
possible times.
540
00:28:21,440 --> 00:28:23,880
I did.
I did not know about that that
541
00:28:23,880 --> 00:28:26,240
detail with with a leader in
there and they're.
542
00:28:26,240 --> 00:28:30,120
Also, yeah, and Altura, they
were, they were getting they
543
00:28:30,120 --> 00:28:33,120
they also had, you know, people
not taking cargoes or deferring
544
00:28:33,120 --> 00:28:35,440
cargoes non stop.
This is yeah.
545
00:28:35,440 --> 00:28:40,040
It was sort of interesting how a
lot of these guys in 2019, they
546
00:28:40,040 --> 00:28:42,040
didn't raise equity when they
cook because they're off taker
547
00:28:42,040 --> 00:28:43,840
and say no, no, no, I'm good for
it, I'm good for it, I'm good
548
00:28:43,840 --> 00:28:44,960
for it.
And then suddenly, actually I'm
549
00:28:44,960 --> 00:28:48,960
gonna take any material, get
wrecked, come and send me that
550
00:28:48,960 --> 00:28:51,920
is.
Maybe like the last one on, on
551
00:28:51,920 --> 00:28:55,200
kind of, you know, the lithium
companies like you've had a fair
552
00:28:55,200 --> 00:28:58,400
bit of work with the, the, the
miners that have found their way
553
00:28:58,400 --> 00:28:59,840
into bankruptcy for whatever
reason.
554
00:29:00,160 --> 00:29:03,360
Yeah, I'm, I'm.
I'm guessing you'd take a
555
00:29:03,360 --> 00:29:05,960
relatively positive view on the
on the credit case for a lot of
556
00:29:05,960 --> 00:29:08,720
these miners, but I'd be curious
to know your view on the equity
557
00:29:08,720 --> 00:29:10,920
case?
Yeah.
558
00:29:10,920 --> 00:29:16,160
I mean, so the problem is the
credit case is that it's hard.
559
00:29:16,320 --> 00:29:18,720
You really have, you're really
kind of the problem is there's
560
00:29:18,720 --> 00:29:22,120
no way to really hedge or manage
physical risk now.
561
00:29:22,560 --> 00:29:25,640
So the credit case is you might
as well be getting paid equity
562
00:29:25,640 --> 00:29:28,480
returns in the good times
because you're certainly taking
563
00:29:28,480 --> 00:29:30,360
something close to equity risk
in the bad times.
564
00:29:31,160 --> 00:29:35,080
I think on the equity case now
the issue is, is that are we
565
00:29:35,080 --> 00:29:40,680
going to get some voluntary
reduction in supply to stabilise
566
00:29:40,680 --> 00:29:43,560
the market somewhat?
I think we should.
567
00:29:43,560 --> 00:29:47,560
The reason is, is that a lot of
these miners don't have a tonne
568
00:29:47,560 --> 00:29:49,640
of debt.
I guess min res is a notable
569
00:29:49,640 --> 00:29:51,960
exception now.
So they do have the capacity.
570
00:29:51,960 --> 00:29:54,560
So we're just going to throttle
back supply until this balances
571
00:29:54,560 --> 00:29:56,720
and we're not going to produce
any losses.
572
00:29:58,120 --> 00:30:01,760
So I think there's the scope for
these guys to kind of reduce
573
00:30:01,760 --> 00:30:04,440
output without getting in
trouble with their creditors.
574
00:30:04,880 --> 00:30:07,560
Whereas a lot of these guys last
time around had covenants with
575
00:30:07,560 --> 00:30:09,800
creditors where they said you
got to produce or like we're
576
00:30:09,800 --> 00:30:12,440
going to pull on this line next
week, which just made the sell
577
00:30:12,440 --> 00:30:14,720
off all the worse.
And so I think that there's
578
00:30:14,720 --> 00:30:16,160
scope for supply discipline.
Now.
579
00:30:18,000 --> 00:30:21,680
I, I think the equities though
that they will only bottom and
580
00:30:21,680 --> 00:30:23,520
physical kind of bottoms.
And the scary thing for a lot of
581
00:30:23,520 --> 00:30:26,040
the equities now is a lot of
these guys are making pretty
582
00:30:26,040 --> 00:30:28,840
sizable cash losses.
So, you know, you look at all
583
00:30:28,840 --> 00:30:31,200
these names and if things don't
get better soon, that you've got
584
00:30:31,200 --> 00:30:32,920
to assume there's a certain
amount of dilution coming down
585
00:30:32,920 --> 00:30:35,680
the Pike.
Given you've spent this time
586
00:30:35,680 --> 00:30:38,680
looking, you know, all the way
from the raw materials through
587
00:30:38,680 --> 00:30:41,840
to the, the, you know, the final
technology.
588
00:30:42,160 --> 00:30:45,320
I'm interested to hear, Alex,
what you kind of make of what
589
00:30:45,320 --> 00:30:49,440
you kind of think the end game
is for the European and the US
590
00:30:49,440 --> 00:30:53,880
automakers given the the rise
of, you know, BYU and the whole
591
00:30:53,880 --> 00:30:57,120
suite of Chinese AV makers.
Yeah.
592
00:30:57,200 --> 00:31:01,000
I mean, there's, yeah, the
Germans have not covered
593
00:31:01,000 --> 00:31:02,920
themselves in glory.
And I think the markets
594
00:31:02,920 --> 00:31:05,080
gradually figured that out over
the course of the last six to
595
00:31:05,080 --> 00:31:10,240
eight months.
I think the there's a lot of
596
00:31:10,240 --> 00:31:13,240
moving parts here.
I mean, firstly, there's a
597
00:31:13,240 --> 00:31:16,200
couple of things which have kind
of become quite clear from
598
00:31:16,200 --> 00:31:19,080
consumer point of view in China.
They've got charging stations
599
00:31:19,120 --> 00:31:21,200
all over the place.
People are very comfortable
600
00:31:21,200 --> 00:31:23,640
buying EB's.
Nobody wants to be, you know,
601
00:31:23,640 --> 00:31:29,640
driving an oversized iPhone with
wheels and not be able to charge
602
00:31:29,640 --> 00:31:31,520
it.
That's sort of a people have a
603
00:31:31,520 --> 00:31:35,640
natural angst about that.
So I think demand for EVs in a
604
00:31:35,640 --> 00:31:39,600
lot of markets is very heavily
capped by how comfortable people
605
00:31:39,600 --> 00:31:41,960
are about charging.
So in the US they've started to
606
00:31:41,960 --> 00:31:44,520
really pick up that roll out.
So that's that's been very
607
00:31:44,520 --> 00:31:46,480
constructive.
But in the interim, you're
608
00:31:46,480 --> 00:31:49,320
seeing a lot of demand for what
they call EREVS or extended
609
00:31:49,320 --> 00:31:53,720
range electric vehicles.
So you get about plus -100 KS of
610
00:31:53,720 --> 00:31:56,640
range of the battery and then
you've got plug in for the rest.
611
00:31:57,280 --> 00:32:00,160
That seems to be the sweet spot
for a lot of markets in the US
612
00:32:00,920 --> 00:32:05,160
and a lot of Europe now too.
I think what happened with autos
613
00:32:05,160 --> 00:32:09,520
is they said, OK, we've got our
core IC thing, we're going to
614
00:32:09,520 --> 00:32:12,880
have a specialised TV thing.
But then DVD take up wasn't
615
00:32:12,880 --> 00:32:15,520
quite as good as they expected
because people aren't quite
616
00:32:15,640 --> 00:32:16,840
fully comfortable making the
jump.
617
00:32:16,840 --> 00:32:18,840
The guys who are doing very well
right now actually Toyota,
618
00:32:19,160 --> 00:32:22,240
because I've always had this
sort of bias towards hybrids or
619
00:32:22,240 --> 00:32:25,040
degrees of hybridization or plug
in.
620
00:32:26,760 --> 00:32:30,400
So yeah, so I think that's how
everyone's kind of like people
621
00:32:30,400 --> 00:32:32,920
haven't kind of actually, well,
most of the Autocomp haven't
622
00:32:32,920 --> 00:32:35,680
kind of got models which are
really clicked with people that
623
00:32:35,680 --> 00:32:38,760
well either on price point or
sizing.
624
00:32:39,200 --> 00:32:42,640
But that's starting to change
and in China, of course,
625
00:32:42,640 --> 00:32:44,320
everyone feels very comfortable
on DVS.
626
00:32:44,320 --> 00:32:46,480
They just buy them and be what
is happy and maximum.
627
00:32:47,080 --> 00:32:49,120
In, in China, I know you've
spent a lot of time, Alex,
628
00:32:50,120 --> 00:32:52,840
thinking about their, their
energy market and, and the make
629
00:32:52,840 --> 00:32:56,120
up of it.
And, and I mean, there's a few
630
00:32:56,120 --> 00:32:59,040
kind of interesting facets of
the, of the Chinese energy
631
00:32:59,040 --> 00:33:01,840
market that you know, aren't
immediately obvious to, to, to
632
00:33:01,840 --> 00:33:04,280
people, including myself until I
kind of read, read, read some of
633
00:33:04,280 --> 00:33:06,880
your writing.
We, we all kind of know about
634
00:33:06,880 --> 00:33:10,600
the, the hydropower industry
that, you know, that, that, that
635
00:33:10,600 --> 00:33:13,240
China's the beneficiary of.
But it's not necessarily like
636
00:33:13,240 --> 00:33:16,840
strictly intuitive that the, the
reliance on, on or the
637
00:33:16,840 --> 00:33:20,000
utilisation of hydropower
actually drives demand for
638
00:33:20,000 --> 00:33:22,400
import of, of, of coal and, and
gas.
639
00:33:23,280 --> 00:33:25,520
Can you, can you, can you tell
me what, Yeah, what you found
640
00:33:25,520 --> 00:33:26,960
there?
Yeah.
641
00:33:26,960 --> 00:33:29,640
I mean, if you think about just
think about the shape of sort of
642
00:33:29,640 --> 00:33:32,680
China, it's got a big sort of
table top in Tibet.
643
00:33:33,200 --> 00:33:37,640
And then, you know, essentially
the the cradle of Chinese
644
00:33:37,640 --> 00:33:41,640
civilization is basically people
who grew crops in the river
645
00:33:41,640 --> 00:33:45,600
systems that hang off that,
namely the Yangtze and Yellow
646
00:33:45,600 --> 00:33:48,920
River.
So the there's an enormous
647
00:33:48,920 --> 00:33:52,000
amount of hydro, but you know,
as in any sort of power market
648
00:33:52,000 --> 00:33:54,960
with a lot of hydro, whether
that's Norway or, you know, the
649
00:33:54,960 --> 00:33:58,040
Alps in Switzerland or Austria,
it's variable.
650
00:33:58,400 --> 00:34:01,360
And the interesting thing with
the hydro in China is that a lot
651
00:34:01,360 --> 00:34:04,880
of the hydro, you know,
basically there's water coming
652
00:34:04,880 --> 00:34:07,200
off Tibet and Sichuan and then
going downhill.
653
00:34:07,520 --> 00:34:10,800
There's very big high voltage to
connect to southern provinces of
654
00:34:10,800 --> 00:34:15,280
Guangdong and Guangxi, which are
big importers of thermal coal.
655
00:34:15,760 --> 00:34:19,400
So essentially when the hydro
availability is excellent and
656
00:34:20,120 --> 00:34:23,000
there's lots of power to export
from these inland provinces
657
00:34:23,000 --> 00:34:26,560
close to the southern ones and
there's a bit of a, you know,
658
00:34:27,000 --> 00:34:29,400
humid, my chase moment for
thermal exporters.
659
00:34:31,000 --> 00:34:33,440
And so, yeah, so I do track it
because it is important
660
00:34:33,440 --> 00:34:37,840
statistically sort of more
medium term signals and Asian
661
00:34:37,840 --> 00:34:40,719
demand for thermal coal.
Northern China is kind of its
662
00:34:40,719 --> 00:34:42,480
own thing.
They have plenty of coal in the
663
00:34:42,480 --> 00:34:45,239
north.
They, you know, unless they do
664
00:34:45,239 --> 00:34:47,679
something silly on the supply
side, it's it's a little bit
665
00:34:47,679 --> 00:34:51,000
more of a stable system.
So, yeah, but you know, this is
666
00:34:51,000 --> 00:34:52,639
a thing in Europe too.
I mean, the years where they've
667
00:34:52,639 --> 00:34:56,360
got weak hydro, suddenly the
market feels super tight and
668
00:34:56,360 --> 00:34:57,680
gas.
And there's a reason for that,
669
00:34:57,840 --> 00:35:00,120
right?
And the good news is that in
670
00:35:00,120 --> 00:35:02,200
most countries you can get
really good dam and rainfall
671
00:35:02,200 --> 00:35:04,920
data.
And China, the hydro data is
672
00:35:05,040 --> 00:35:08,520
they kind of often put it online
and make it very difficult to
673
00:35:08,520 --> 00:35:10,920
scrape and they pull it off.
It's it's a little bit of a cat
674
00:35:10,920 --> 00:35:12,560
and mouse game in terms of
analysis.
675
00:35:12,960 --> 00:35:15,560
But yeah, it's worth the trouble
I generally find.
676
00:35:15,560 --> 00:35:19,080
So is it literally how much it
the variability in the hydro
677
00:35:19,200 --> 00:35:21,640
based on how much it rains in
Tibet?
678
00:35:21,840 --> 00:35:23,840
Is it as simple as that?
Yeah.
679
00:35:23,840 --> 00:35:25,640
I mean, basically you get the
monsoon, right?
680
00:35:25,640 --> 00:35:27,280
Comes off the Indian Ocean,
bang.
681
00:35:27,360 --> 00:35:30,880
It's the, you know, Himalayas, A
lot of it lands on the Indian
682
00:35:30,880 --> 00:35:33,840
side, a lot of it flows up onto
the Chinese side, and then that
683
00:35:33,840 --> 00:35:36,600
sort of drives China's hydro
system as it goes towards the
684
00:35:36,600 --> 00:35:40,680
East China Sea.
That's pretty simple.
685
00:35:40,680 --> 00:35:43,840
So it's sort of this monsoon.
The funny thing is now in India,
686
00:35:44,760 --> 00:35:47,560
because you've got also some
coal imports there, the
687
00:35:48,400 --> 00:35:52,360
behaviour of the monsoon on the
Indian side now substantially
688
00:35:52,360 --> 00:35:54,320
impacts demand for import
thermal coal there.
689
00:35:54,320 --> 00:35:58,440
So I didn't do hydrological
engineering, but sometime or
690
00:35:58,440 --> 00:36:01,160
meteorology, but it's sort of
kind of important to.
691
00:36:01,160 --> 00:36:02,760
Transfer stuff like.
Asian.
692
00:36:02,760 --> 00:36:05,640
Column close enough, yeah.
Yeah, it is.
693
00:36:05,800 --> 00:36:08,800
It is what it is.
It's if it moves the market hard
694
00:36:08,800 --> 00:36:11,720
and it's under under covered,
then I'll take a crack at it.
695
00:36:12,040 --> 00:36:13,440
Sure.
You you checked in the number
696
00:36:13,440 --> 00:36:17,480
that it at times can translate
to 4% of the global electricity
697
00:36:17,760 --> 00:36:20,400
output.
Yeah, Yeah, that blew my mind.
698
00:36:21,160 --> 00:36:23,160
But and, and this stuff can
swing.
699
00:36:23,160 --> 00:36:25,440
So if you think of like in a
commodity market, if you're like
700
00:36:26,320 --> 00:36:30,000
global supply demands like 345
percent tight, I mean that is
701
00:36:30,080 --> 00:36:32,760
that's, that's like 2022 crisis
grade stuff.
702
00:36:33,520 --> 00:36:37,040
And this stuff can be up and
down 20% year to year.
703
00:36:37,440 --> 00:36:40,400
So it's an enormous influence
not just on their market, but
704
00:36:40,400 --> 00:36:43,640
globally.
So yeah, it's worth tracking.
705
00:36:43,840 --> 00:36:46,680
Yeah, it's it's they don't make,
they don't make your life easy.
706
00:36:46,680 --> 00:36:49,080
Like I said, there's not like a
nice little data API where you
707
00:36:49,080 --> 00:36:52,000
can pull down all the dam levels
and everything that's going on
708
00:36:52,000 --> 00:36:55,360
minute to minute like you can in
Norway or or Switzerland for
709
00:36:55,360 --> 00:36:58,520
that matter.
Is that just tying back into you
710
00:36:58,520 --> 00:37:02,680
said global, global energy
demand and then heading towards
711
00:37:02,680 --> 00:37:07,560
this future of EVs, if everyone,
if there's is a massive uptake
712
00:37:07,560 --> 00:37:11,640
and everyone's charging EVs
overnight, how much is that?
713
00:37:12,360 --> 00:37:15,480
Is that negligible or massive in
terms of global power demand
714
00:37:15,720 --> 00:37:20,720
once you're replying combustion?
Look, it depends on, there's
715
00:37:20,720 --> 00:37:23,320
lots of different numbers.
There's so many studies on this,
716
00:37:23,320 --> 00:37:25,160
right?
You kind of start to get a sense
717
00:37:25,160 --> 00:37:27,120
of what the error bars are on
the numbers.
718
00:37:27,200 --> 00:37:34,080
If you look at moving everyone
to EVs and then you've got, you
719
00:37:34,080 --> 00:37:38,040
know, moving industrial
processes to hydrogen or, or
720
00:37:38,040 --> 00:37:40,760
heat pumps or what have you.
Normally the bump is somewhere
721
00:37:40,760 --> 00:37:43,240
in the order of 20 to 25% off
the baseline.
722
00:37:44,840 --> 00:37:46,560
So that's substantial.
But that's something which plays
723
00:37:46,560 --> 00:37:50,000
out over, you know, to 2050 or
one of you 0 targeted.
724
00:37:50,000 --> 00:37:52,040
So that's, you know, you can
kind of absorb that.
725
00:37:52,280 --> 00:37:54,800
The data centre stuff is a bit
spicy because people are saying
726
00:37:55,280 --> 00:37:59,000
some investment banks anyway are
saying we're going to be 20% up
727
00:37:59,040 --> 00:38:02,160
in six years and that's, that's
a big deal.
728
00:38:02,280 --> 00:38:05,040
If that's real.
I'm becoming a little bit more
729
00:38:05,040 --> 00:38:08,400
sceptical on how real that is.
But that's a real thing.
730
00:38:09,880 --> 00:38:12,240
So yeah, but the interesting
thing is also like you've got
731
00:38:12,240 --> 00:38:16,120
all these EVs on on and people
can sort of time their charging
732
00:38:16,120 --> 00:38:17,880
and then people put solar on
their houses.
733
00:38:17,880 --> 00:38:21,480
Then you know, how much at the
substation that you actually
734
00:38:21,480 --> 00:38:23,840
seen demand go up?
And what does the shape of that
735
00:38:23,840 --> 00:38:25,480
look like?
And it's, and they need to say
736
00:38:25,520 --> 00:38:28,000
this, electrical engineers spend
a lot of time modelling this
737
00:38:28,000 --> 00:38:29,680
stuff out.
It's kind of interesting, but
738
00:38:29,680 --> 00:38:32,000
it's all it's an emerging
picture as.
739
00:38:32,680 --> 00:38:34,200
Yeah.
So for the data centres like
740
00:38:34,200 --> 00:38:37,400
when this big uptake of them, if
it does happen, is that going to
741
00:38:37,400 --> 00:38:41,600
replace anything in the world
like reduce the need of anything
742
00:38:41,600 --> 00:38:45,400
or is it just going to be a pure
edition of the need for copper,
743
00:38:45,400 --> 00:38:47,360
the need for extra power
etcetera?
744
00:38:49,240 --> 00:38:51,520
Well, I mean, there's obviously
all these efficiencies you get
745
00:38:52,040 --> 00:38:56,320
from these.
So I mean, I use AI use like
746
00:38:56,320 --> 00:38:58,640
Claude's pretty good.
If you're writing code, if you,
747
00:39:00,360 --> 00:39:03,480
you know, feeling a bit dusty 1
morning and you're not really
748
00:39:03,480 --> 00:39:06,800
feeling like writing some
boilerplate stuff, you can get
749
00:39:07,320 --> 00:39:10,200
AI to do a lot of that for you.
Now that's kind of a big deal.
750
00:39:10,920 --> 00:39:12,800
Does that replace anything in
the physical world?
751
00:39:12,800 --> 00:39:17,360
Well, TBD for example, one thing
that's kind of crazier this AI
752
00:39:17,360 --> 00:39:21,880
stuff is that because you can
now essentially brute force
753
00:39:22,800 --> 00:39:27,680
modelling physical chemistry.
So how ions move through a
754
00:39:27,680 --> 00:39:30,960
substrate or what have you,
people are now the search for
755
00:39:31,000 --> 00:39:35,440
better battery cathodes is now
increasingly happening in
756
00:39:35,440 --> 00:39:37,800
silicon.
And then they go from say 3
757
00:39:37,800 --> 00:39:40,640
million options down to 70.
And then they test those 70 on a
758
00:39:40,640 --> 00:39:42,800
wet bench.
So I think you're going to see
759
00:39:42,800 --> 00:39:45,320
it in terms of the speed up in
technology in a lot of areas.
760
00:39:46,080 --> 00:39:48,120
But I think it's going to be big
in pharmacology.
761
00:39:48,120 --> 00:39:50,720
You've already seen that and
also in physical chemistry for,
762
00:39:52,000 --> 00:39:54,360
you know, battery cathodes,
materials and that sort of
763
00:39:54,360 --> 00:39:57,760
stuff.
So it's it's not like you can
764
00:39:57,760 --> 00:40:00,840
just sort of go into a couple of
line items in Excel model and
765
00:40:00,840 --> 00:40:03,280
show where it's going to turn
up, but it is sort of popping up
766
00:40:03,280 --> 00:40:05,360
all over the place.
So I think, I think one of the
767
00:40:05,360 --> 00:40:08,440
big pieces we haven't yet spoken
about that ties in is stationary
768
00:40:08,440 --> 00:40:10,320
storage.
What, what do you kind of make
769
00:40:10,320 --> 00:40:15,840
of the consensus growth numbers
out there for stationary storage
770
00:40:15,840 --> 00:40:19,400
and you know how that plays into
metals demands and all these
771
00:40:19,400 --> 00:40:22,160
sorts of things?
I, I think it's so I think it's
772
00:40:22,160 --> 00:40:25,320
sort of interesting.
There's there's often a very
773
00:40:25,320 --> 00:40:29,120
it's it's, it's tricky to model.
The reason is, is that right
774
00:40:29,120 --> 00:40:33,360
now, given spreads you see
intraday in say the NEM in
775
00:40:33,360 --> 00:40:37,160
Australia, NSW or Victoria or
something, you know, prices are,
776
00:40:37,640 --> 00:40:41,040
I could open, you've probably
seen that open NEM website.
777
00:40:41,040 --> 00:40:43,080
You can see prices are basically
negative for about four or five
778
00:40:43,080 --> 00:40:45,520
hours a day.
Now they get smashed up to like
779
00:40:45,520 --> 00:40:49,880
300 bucks for about 90 minutes
or two hours around dinner time.
780
00:40:49,880 --> 00:40:52,920
And then it's back down to
something sensible for people
781
00:40:52,920 --> 00:40:54,520
who want batteries.
They're absolutely meant to you.
782
00:40:54,680 --> 00:40:57,640
I mean, you can do sort of back
of the envelope stuff even
783
00:40:57,640 --> 00:40:59,880
assuming they don't get any of
this spending reserve or
784
00:40:59,880 --> 00:41:04,680
frequency and ancillary services
revenue, they're they're doing
785
00:41:04,680 --> 00:41:06,080
great.
But the interesting thing is as
786
00:41:06,080 --> 00:41:08,480
a lot of storage goes in those
spreads will come down pretty
787
00:41:08,480 --> 00:41:09,960
hard.
So there's kind of an
788
00:41:09,960 --> 00:41:12,920
equilibrium where you need
enough spread to justify that
789
00:41:12,920 --> 00:41:15,760
store stationary demand.
I think it's very robust now,
790
00:41:16,120 --> 00:41:18,760
but in 3-4 years where the
spreads going to be And then if
791
00:41:18,760 --> 00:41:21,840
you've got Snowy 2, at least in
Australia, coming over the top
792
00:41:21,840 --> 00:41:25,680
with a hammer in 2028, then is
that going to slow down?
793
00:41:25,760 --> 00:41:30,160
I think in the meantime there's
sort of going to be a a speeding
794
00:41:30,160 --> 00:41:33,080
up and slowing down thing where
spreads very wide now.
795
00:41:33,080 --> 00:41:34,880
Doesn't make sense to build a
solar farm if you're going to
796
00:41:34,880 --> 00:41:36,080
have to sell it for negative
power.
797
00:41:36,080 --> 00:41:39,040
That's pretty stupid.
But then people pile into
798
00:41:39,040 --> 00:41:42,240
batteries, solar farm gets a
better level, people dump in
799
00:41:42,240 --> 00:41:45,360
more solar and there's going to
be sort of a, a bit of a sort of
800
00:41:45,640 --> 00:41:48,200
out of sequence sort of sign and
cause waves thing going on
801
00:41:48,200 --> 00:41:49,960
there.
Reminds me of the avocado farms,
802
00:41:49,960 --> 00:41:52,960
'cause they remember when
avocados were like 7 bucks and
803
00:41:53,240 --> 00:41:56,120
the people who had farms were
minting it and then so everyone
804
00:41:56,120 --> 00:41:58,280
bloody planted avocado farms
everywhere.
805
00:41:58,280 --> 00:42:01,360
They take six years to come to
fruit and then by then there was
806
00:42:01,520 --> 00:42:03,800
like avocado, 2 bucks 'cause
there's so many more avocados.
807
00:42:04,800 --> 00:42:07,000
Thought the cure for high prices
is high prices would have.
808
00:42:07,000 --> 00:42:10,080
Been more in the Neero resource.
That's odd.
809
00:42:10,920 --> 00:42:12,400
I think I think that's exactly
right.
810
00:42:12,440 --> 00:42:14,760
I mean, the difference is though
is like in solar, it takes like
811
00:42:14,760 --> 00:42:16,960
an 18 months, two years to throw
up the farm, so long as you get
812
00:42:16,960 --> 00:42:19,960
your permits, batteries.
It's like some of the sometimes
813
00:42:19,960 --> 00:42:22,920
you can put these installations
together 6 to 12 months.
814
00:42:23,160 --> 00:42:25,240
Yeah.
So, so it's going to be a little
815
00:42:25,240 --> 00:42:27,800
bit more of a tighter cycle, but
I think that you're going to
816
00:42:27,800 --> 00:42:30,160
start to see that play out a bit
and it should mean prices are
817
00:42:30,320 --> 00:42:32,360
mostly a bit less cracked out
going forward.
818
00:42:32,360 --> 00:42:34,680
Well, where things get spicy and
even in the electrical
819
00:42:34,680 --> 00:42:37,600
engineering you guys do these
big models, there's a guy called
820
00:42:37,600 --> 00:42:39,520
Tom Brown at University of
Berlin.
821
00:42:39,520 --> 00:42:42,560
He does some great stuff.
The time that's going to always
822
00:42:42,560 --> 00:42:45,840
going to be dicey is like it's
cold winter, not a lot of sun,
823
00:42:45,840 --> 00:42:48,360
not a lot of wind.
And that's when things will get
824
00:42:48,360 --> 00:42:50,960
silly.
So that's where you're going to
825
00:42:50,960 --> 00:42:55,120
need electrolysis for, you know,
150 hours of a winter where
826
00:42:55,120 --> 00:42:58,680
things are not great and the
prices will always be nuts then.
827
00:42:58,680 --> 00:43:01,800
And then they'll be, you know,
2530 bucks for most of the rest
828
00:43:01,800 --> 00:43:04,400
of the time.
Is it just a function of like of
829
00:43:04,960 --> 00:43:07,920
of like the, you know, the best
implementation and requirement,
830
00:43:07,920 --> 00:43:10,400
all that sort of stuff is just a
function of the penetration of
831
00:43:10,400 --> 00:43:12,920
solar and, and, and wind in any,
in any market.
832
00:43:14,200 --> 00:43:16,680
Yeah, I mean places like
Australia, it's super cheap.
833
00:43:16,720 --> 00:43:20,120
I mean, The thing is, is that I
mean, people get very political
834
00:43:20,120 --> 00:43:24,800
about nuclear.
And my opinion is that if you're
835
00:43:24,800 --> 00:43:29,280
summer, which is has not much
sun, not all, not great wind and
836
00:43:29,280 --> 00:43:32,480
it's cold said you're crazy not
to the nuclear like it is
837
00:43:32,480 --> 00:43:34,520
absolutely unhinged.
Like people say no, Poland
838
00:43:34,520 --> 00:43:36,080
shouldn't and you kill.
I'm like, well, what are they
839
00:43:36,080 --> 00:43:38,640
going to do?
This is like, what are their
840
00:43:38,640 --> 00:43:40,720
choices here?
Whereas if you're somewhere like
841
00:43:40,720 --> 00:43:44,360
a lot of wind, a lot of sun, you
know, you can do a decent amount
842
00:43:44,360 --> 00:43:46,520
of pumped hydro, you're
Argentina or Australia.
843
00:43:46,520 --> 00:43:48,160
I mean, you've got plenty of
choices.
844
00:43:48,160 --> 00:43:51,080
You don't need to do anything
large and complicated.
845
00:43:51,080 --> 00:43:52,840
You can just do dumb modular
stuff.
846
00:43:53,720 --> 00:43:57,360
So I think it's going to be very
much how people do this energy
847
00:43:57,360 --> 00:44:00,680
transition is going to be very
much a depend on your local
848
00:44:00,680 --> 00:44:04,520
endowment, physical endowment
and that'll define what's going
849
00:44:04,520 --> 00:44:08,760
to be the lowest cost option.
One of the one of the your non
850
00:44:08,760 --> 00:44:11,880
consensus kind of calls last
year, which sort of, you know,
851
00:44:11,920 --> 00:44:15,960
played out to be pretty, pretty
correct was, I mean, you're
852
00:44:15,960 --> 00:44:18,640
pretty pessimistic on the
outlook for for met coal when
853
00:44:18,960 --> 00:44:21,200
when consensus was pretty,
pretty optimistic.
854
00:44:21,200 --> 00:44:25,480
And I think you were, you were
sort of looking at the the, the
855
00:44:25,480 --> 00:44:29,800
displacement of, of seaborne met
coal as a result of, of lower
856
00:44:29,800 --> 00:44:32,360
cost Mongolian coal feeding into
into China.
857
00:44:33,880 --> 00:44:35,680
Yeah.
Like, how did you kind of come
858
00:44:35,680 --> 00:44:38,680
to that view and how have you
seen it play out since?
859
00:44:39,680 --> 00:44:46,360
Yeah, I mean, so I I did a I did
in 2016, 1716 there was like a
860
00:44:46,360 --> 00:44:48,200
bankruptcy of a Mongolian coal
producer.
861
00:44:48,200 --> 00:44:50,440
So I always done a lot of Asian
distressed that stuff.
862
00:44:50,440 --> 00:44:55,320
So I got involved in that.
So I got to know that company
863
00:44:55,320 --> 00:44:56,960
recently.
Well, what was kind of
864
00:44:56,960 --> 00:45:01,000
interesting during COVID, China
did a bunch of very silly things
865
00:45:01,000 --> 00:45:05,680
in the coal market, which I
wrote about, I think it was.
866
00:45:06,520 --> 00:45:10,320
But basically they if they shot
their border with Mongolia, OK,
867
00:45:10,720 --> 00:45:13,080
so you can't get Mongolian Coca
Cola anymore because you're
868
00:45:13,080 --> 00:45:15,120
worried the Mongolians all have
COVID and they're going to pull
869
00:45:15,120 --> 00:45:16,360
it.
China, fine.
870
00:45:16,680 --> 00:45:18,960
But then they also had a massive
fight with Australia over
871
00:45:18,960 --> 00:45:21,280
whatever it was Scott Morrison
ticked them off about.
872
00:45:21,280 --> 00:45:24,520
It was COVID inquiry, which I
think was probably a good idea.
873
00:45:25,640 --> 00:45:28,280
So then you see, so where were
they going to get their Metcal?
874
00:45:28,360 --> 00:45:33,080
So you've kind of Mongolia's
out, Australia's out.
875
00:45:33,840 --> 00:45:37,000
At the same time, they started
to run a very big stimulus.
876
00:45:37,440 --> 00:45:40,800
So METCO got very silly.
And then of course with Russia,
877
00:45:40,800 --> 00:45:44,080
a lot of the met coal supply
from the Donbass or exported
878
00:45:44,080 --> 00:45:48,480
through ports near Crimea and so
forth, that just tightened the
879
00:45:48,480 --> 00:45:50,960
market further.
So to just say it went, it went
880
00:45:50,960 --> 00:45:54,240
absolutely been honest and
justifiably so and sort of so
881
00:45:54,240 --> 00:45:59,280
we're involved in owning Alpha
Metallurgical in the US and a
882
00:45:59,280 --> 00:46:00,600
few others because it was just
amazing.
883
00:46:00,600 --> 00:46:03,560
It was just a market which I
didn't think could get this
884
00:46:03,560 --> 00:46:05,440
tight in any feasible state of
the world.
885
00:46:05,440 --> 00:46:08,840
But you just have like 1 global
policy era after another.
886
00:46:08,840 --> 00:46:12,360
And I think at that point that
was got up to 600 bucks or
887
00:46:12,360 --> 00:46:14,360
something silly.
I think what was interesting was
888
00:46:14,360 --> 00:46:18,720
that after China kind of lost
control of COVID, they then
889
00:46:18,880 --> 00:46:21,400
effectively let it RIP and then
reopen the Mongolian border.
890
00:46:22,680 --> 00:46:25,400
And they were also trying to get
more Mongolian output even
891
00:46:25,400 --> 00:46:27,840
before they kind of towel
chopped on on COVID.
892
00:46:27,840 --> 00:46:30,880
And then of course, you had this
supply shock of, you know,
893
00:46:30,920 --> 00:46:34,320
something like 50 million tonnes
of net hitting the market, not
894
00:46:34,320 --> 00:46:36,080
hitting the global market.
And you couldn't see it in the
895
00:46:36,080 --> 00:46:38,280
shipping data because it was all
right, you know, done moved
896
00:46:38,280 --> 00:46:40,680
across by trucks and rail, but
the market started to weaken.
897
00:46:41,200 --> 00:46:44,240
And yeah, Mongolia just keeps on
producing more because their
898
00:46:44,240 --> 00:46:47,200
cash costs are like 75 bucks to
look into the Chinese border.
899
00:46:47,760 --> 00:46:49,400
So not a lot to slow them down
there.
900
00:46:49,800 --> 00:46:53,080
So you shared some comments in
in a sub stack piece that you
901
00:46:53,080 --> 00:46:56,200
wrote at the time as well.
And the, the gist of it is you
902
00:46:56,200 --> 00:47:00,200
were falling into question the
yes, the, the pay, the bonus
903
00:47:00,200 --> 00:47:03,040
structure and everything of the,
the Aussie producers, given that
904
00:47:03,040 --> 00:47:06,800
they weren't able to massively
capitalise or at least expand
905
00:47:06,800 --> 00:47:10,200
production in a significantly
tight market where process was
906
00:47:10,200 --> 00:47:11,960
super elevated.
What was it, you know,
907
00:47:12,000 --> 00:47:15,360
reflecting back on a year later,
do you have views on how the,
908
00:47:15,640 --> 00:47:17,880
you know, RAM is structured for
these guys and the the
909
00:47:17,880 --> 00:47:19,840
performance that the Aussie
players had at the.
910
00:47:19,840 --> 00:47:24,040
Time I I think I think it's it
was kind of weird because that
911
00:47:24,040 --> 00:47:26,320
was about as good amount as you
could ever hoped for right.
912
00:47:26,320 --> 00:47:29,440
I mean, the Russians have
basically taken Outback, got any
913
00:47:29,440 --> 00:47:31,040
dumbass supply from Ukraine is
gone.
914
00:47:31,040 --> 00:47:33,400
Like you should be able to ramp
your output.
915
00:47:33,400 --> 00:47:36,960
But it was interesting that they
couldn't get their output up.
916
00:47:37,040 --> 00:47:41,320
And I met with White Haven, with
a couple of other guys in
917
00:47:41,400 --> 00:47:45,080
Singapore, and I wasn't sort of
satisfied with the answer they
918
00:47:45,080 --> 00:47:47,120
have why they couldn't get up.
And some was definitely due to a
919
00:47:47,120 --> 00:47:49,360
tight labour market.
And I think that's that was fair
920
00:47:49,360 --> 00:47:52,880
enough.
But yeah, underperformance was
921
00:47:53,520 --> 00:47:57,680
quite surprising.
And it's, you know, a lot of
922
00:47:57,680 --> 00:48:00,040
these mining management teams,
like, look at this, we're making
923
00:48:00,040 --> 00:48:01,720
record EBITDA.
I'm like, yeah, but you can't
924
00:48:01,720 --> 00:48:04,240
even lift volumes into like a
$600.00 met market.
925
00:48:05,160 --> 00:48:09,600
What's up with that?
So that was a bit strange.
926
00:48:10,400 --> 00:48:14,120
I didn't love.
I thought they were doing
927
00:48:14,120 --> 00:48:15,680
victory laps they hadn't really
earned.
928
00:48:15,720 --> 00:48:19,120
Unless they could take credit
for shutting the Chinese border
929
00:48:19,120 --> 00:48:22,640
with Mongolia or kicking off the
Ukraine war, they didn't really
930
00:48:22,640 --> 00:48:25,120
have a hand in it.
How much of that do you kind of
931
00:48:25,120 --> 00:48:29,000
view US mines having a a natural
sort of run rate?
932
00:48:29,000 --> 00:48:31,800
Obviously, like you said, there
are a lot of yeah issues within,
933
00:48:31,800 --> 00:48:34,440
within Australia, labour being
one of them, energy price, all
934
00:48:34,440 --> 00:48:36,480
these sorts of things.
Weather events happened.
935
00:48:37,000 --> 00:48:39,960
But a lot of mines tend to kind
of have a, a natural run rate.
936
00:48:39,960 --> 00:48:42,160
And I say this from someone
who's never really worked on a
937
00:48:42,160 --> 00:48:47,120
mine, but it's from the outside
seems very hard, you know, to
938
00:48:47,200 --> 00:48:49,880
ramp up production even when
prices are very high as much as
939
00:48:49,880 --> 00:48:52,400
you'd kind of want to.
Do you have any learnings on
940
00:48:52,400 --> 00:48:54,240
that kind of?
Front, Yeah, yeah, we looked at
941
00:48:54,240 --> 00:48:56,560
it, on it, we went through a
couple of the mines in Australia
942
00:48:56,560 --> 00:48:59,360
and like, of course there's like
a constraint so there's some of
943
00:48:59,360 --> 00:49:01,040
it's just yellow goods on site
or labour.
944
00:49:01,040 --> 00:49:03,760
So how you know how much you
can, you know your long wall
945
00:49:03,760 --> 00:49:05,880
only has certain capacity and a
lot.
946
00:49:05,880 --> 00:49:07,960
But often with these plants,
it's like there's a constraint
947
00:49:07,960 --> 00:49:09,920
at the wash plant.
And what we found was there
948
00:49:09,920 --> 00:49:12,040
wasn't like an obvious
constraint at the wash plant for
949
00:49:12,040 --> 00:49:14,520
a lot of these installations.
They just couldn't get up there,
950
00:49:15,080 --> 00:49:17,240
their earth movements a lot.
Now that might have just been
951
00:49:17,240 --> 00:49:19,400
entirely driven by labour.
That was definitely one bit of
952
00:49:19,400 --> 00:49:21,960
feedback we got.
I reckon that that rang pretty
953
00:49:21,960 --> 00:49:24,160
true.
But I was surprised how little
954
00:49:24,160 --> 00:49:27,160
flex there was in the system,
despite the fact when you look
955
00:49:27,160 --> 00:49:31,560
at what the headroom is at a
system level at a mine, it
956
00:49:31,560 --> 00:49:33,480
seemed to have some capacity to
move.
957
00:49:33,480 --> 00:49:39,320
So that was a bit of a surprise.
So yeah, it was it's it's a
958
00:49:39,320 --> 00:49:41,680
mystery.
I I hope someone gets a
959
00:49:41,680 --> 00:49:44,720
comprehensive answer at some
point, But I was shocked at how
960
00:49:45,480 --> 00:49:49,240
non elastic the sort of supply
curve was in the space of a
961
00:49:49,280 --> 00:49:52,960
pretty crazy price fight.
I think, I think on your point,
962
00:49:52,960 --> 00:49:56,160
JD, I think the natural run rate
of mines is also it's very
963
00:49:56,160 --> 00:50:02,240
capital sensitive like your
Kathleen Valley for instance,
964
00:50:02,240 --> 00:50:06,240
that could that could do
6,000,000 tonne if they put an
965
00:50:06,240 --> 00:50:09,760
underground crusher in and a
conveyor and and everything like
966
00:50:09,760 --> 00:50:11,760
that.
So like I think probably your
967
00:50:11,760 --> 00:50:14,160
narrow vine golds and that
they're very, they've got a
968
00:50:14,160 --> 00:50:16,800
natural run, right.
But I think these big like your
969
00:50:16,800 --> 00:50:20,040
big copper and lithium projects
depending on the capital.
970
00:50:20,040 --> 00:50:22,520
It's capital and time, right?
Because you would have easily
971
00:50:22,520 --> 00:50:25,960
been able to raise money or debt
if the the met coal price is 600
972
00:50:25,960 --> 00:50:27,240
bucks.
But obviously it takes time to
973
00:50:27,760 --> 00:50:29,480
get everything humming and stuff
so.
974
00:50:30,080 --> 00:50:32,240
Yeah, I I was, I think that's a
good point.
975
00:50:32,240 --> 00:50:35,480
Like all the like the like more
base metals like copper, gold,
976
00:50:35,480 --> 00:50:37,680
that's like a very capital
intensive and also just more
977
00:50:37,680 --> 00:50:40,000
energy intensive.
I think Amo had something where
978
00:50:40,000 --> 00:50:43,120
they looked at like electrifying
mines and it's quite clear like
979
00:50:43,120 --> 00:50:45,200
a gold project just uses way
more power.
980
00:50:45,520 --> 00:50:49,160
But for bulks and like more
earth movement driven stuff, it
981
00:50:49,280 --> 00:50:51,600
theoretically should be simpler
so long as you you've got
982
00:50:51,680 --> 00:50:53,120
capacity in your wash plan or
whatever.
983
00:50:53,120 --> 00:50:55,480
But yeah, that just, it just
didn't ramp, which was
984
00:50:55,480 --> 00:50:58,560
interesting.
I never quite could get a clear
985
00:50:58,560 --> 00:51:00,840
answer on why literally no one
could get their numbers up.
986
00:51:01,200 --> 00:51:04,120
Well, that's, that's the
underground like natural mining,
987
00:51:04,120 --> 00:51:06,000
right?
I'm probably talking about open,
988
00:51:06,040 --> 00:51:12,080
open pits, probably a bit
different in terms of MMS
989
00:51:12,080 --> 00:51:14,760
dictate the mining, right?
Yeah, the natural, the natural
990
00:51:14,760 --> 00:51:18,600
mining right when you're in an
MMSJV is like, they'll tell you
991
00:51:19,560 --> 00:51:22,280
what they're mining and then
they're like, we need more.
992
00:51:22,280 --> 00:51:25,120
They're like, okay, we'll get
it, Yeah.
993
00:51:25,200 --> 00:51:27,240
It really depends who the
contractor is and if you've got
994
00:51:27,240 --> 00:51:30,200
MMS around and the commodity
price is flying and you want
995
00:51:30,200 --> 00:51:33,880
more coming out the ground, so.
It'll be a better IR and MPV and
996
00:51:34,160 --> 00:51:36,560
the heck mate, the numbers will
be better than yours as well.
997
00:51:36,560 --> 00:51:38,000
Yeah.
Well, it's like the maximum
998
00:51:38,000 --> 00:51:43,720
possible mining, right?
Plus 50% is what MMS mining
999
00:51:43,720 --> 00:51:45,640
supply.
Yes, exactly.
1000
00:51:45,640 --> 00:51:48,040
Yeah.
And they take the risk off your
1001
00:51:48,040 --> 00:51:50,320
hands, you know?
So most risk free.
1002
00:51:50,320 --> 00:51:55,000
So where's that you're saying?
JD no risk, maximum mining rate
1003
00:51:55,000 --> 00:51:58,840
plus 50% if you'll want it.
Because they'll just do it and
1004
00:51:59,480 --> 00:52:01,400
it's pretty much free.
It's a classic.
1005
00:52:01,400 --> 00:52:04,880
Win, win, win, Matthew.
It is a win win win.
1006
00:52:04,880 --> 00:52:10,800
www.miningservices Go MMS, go
MMS, go do a you know people
1007
00:52:10,800 --> 00:52:13,520
that are doing a JV with MMS
Anyone.
1008
00:52:13,520 --> 00:52:16,040
They're happy, minimum 8 hours
sleep at night.
1009
00:52:16,640 --> 00:52:20,200
They have no worries at all.
They just zonked.
1010
00:52:21,320 --> 00:52:22,800
You want good sleep?
You want to look after your
1011
00:52:22,800 --> 00:52:24,320
health?
Get an MMS JV.
1012
00:52:24,360 --> 00:52:27,160
Pick up the phone.
So, so looking forward in the in
1013
00:52:27,160 --> 00:52:30,680
the met coal market, every
single producer that I looked at
1014
00:52:30,680 --> 00:52:35,640
that the annual report of August
was super bullish India in, you
1015
00:52:35,640 --> 00:52:39,000
know, the next decade, the next
two decades and add to 2050.
1016
00:52:39,320 --> 00:52:41,880
Given given the you know, decade
you've been looking at the Met
1017
00:52:41,880 --> 00:52:44,560
coal market, what do you kind of
make of this this emergence?
1018
00:52:44,560 --> 00:52:47,560
Are they kind of looking for
someone to piece in the model to
1019
00:52:47,560 --> 00:52:50,760
show the growth to investors or
do you think this is legitimate?
1020
00:52:52,240 --> 00:52:54,760
I think it's, look, I mean that
there's going to be more steel
1021
00:52:54,760 --> 00:52:56,040
demand, right?
I don't think it's ever going to
1022
00:52:56,040 --> 00:52:59,400
be anything like China in terms
of per capita or what have you,
1023
00:52:59,400 --> 00:53:03,200
but the number's going to go up.
I mean, I'm not, I'm not some
1024
00:53:03,200 --> 00:53:06,160
insane person.
However, the interesting thing
1025
00:53:06,160 --> 00:53:11,000
when I look at India's options,
India has a lot of thermal Co.
1026
00:53:11,120 --> 00:53:14,320
So they don't think they're, you
know, to the extent they can
1027
00:53:14,320 --> 00:53:17,120
sort out their internal
constraints, whether it be rail
1028
00:53:17,120 --> 00:53:20,160
or, you know, funky political
stuff in the Eastern states,
1029
00:53:21,400 --> 00:53:23,880
they can they can produce as
much coal as they probably need.
1030
00:53:24,200 --> 00:53:27,680
What's going to be interesting
on the met coal side is these
1031
00:53:27,680 --> 00:53:30,000
are all going to be quite new
steel plants.
1032
00:53:30,280 --> 00:53:33,880
So China's essentially made its
choices in terms of its mix of
1033
00:53:33,880 --> 00:53:37,040
blast furnace versus EAF and
their demand probably drops over
1034
00:53:37,040 --> 00:53:38,800
time.
And but they're going to they're
1035
00:53:38,960 --> 00:53:40,880
going to have the same mix of
plants, I think.
1036
00:53:41,320 --> 00:53:46,200
But India, the interesting thing
is, is that you can now get do
1037
00:53:46,200 --> 00:53:48,920
direct reduction plants.
There's a Italian company called
1038
00:53:48,920 --> 00:53:50,960
Danieli which makes steel plant
equipment.
1039
00:53:51,560 --> 00:53:54,720
And you can now take that
natural gas crack into the, you
1040
00:53:54,720 --> 00:53:57,960
know, carbon dioxide and
hydrogen and then use the
1041
00:53:57,960 --> 00:54:00,080
hydrogen as a direct reduction
mechanism.
1042
00:54:00,800 --> 00:54:04,440
And the pitch Danieli is well,
you know, you can use natural
1043
00:54:04,440 --> 00:54:06,760
gas today, you don't need that
coal to reduce this iron.
1044
00:54:07,160 --> 00:54:10,280
And then in the future you can
use green hydrogen.
1045
00:54:10,400 --> 00:54:14,200
So if you're a steel company and
you want to keep your ESG
1046
00:54:14,200 --> 00:54:16,440
ratings in a good place, you can
say, well, I'm going to build a
1047
00:54:16,440 --> 00:54:18,680
plant which gives me the option
to switch to something great at
1048
00:54:18,680 --> 00:54:22,400
some point in the future.
So the composition, I think what
1049
00:54:22,400 --> 00:54:25,800
people need to look to is what
is the composition of new steel
1050
00:54:25,800 --> 00:54:28,400
plants being built in India?
Because if they move towards
1051
00:54:28,840 --> 00:54:33,240
more electric arc furnace where
they can take, say twiggies
1052
00:54:33,240 --> 00:54:37,080
directly, reduced iron pellets
from the Pilbara and then just
1053
00:54:37,080 --> 00:54:40,800
tip it in or they go for
something where they can take
1054
00:54:40,800 --> 00:54:43,800
net gas, crack it and then do
the reduction themselves on
1055
00:54:43,800 --> 00:54:46,360
side, that's pretty bearish,
METCO, right?
1056
00:54:46,360 --> 00:54:48,240
Then that growth story is not
going to play out.
1057
00:54:48,640 --> 00:54:51,120
So that's another thing we're
spending a bit of time on,
1058
00:54:51,120 --> 00:54:54,280
looking at what the future plant
mix is going to be in India
1059
00:54:54,280 --> 00:54:57,920
because that will define how
METCO intensive that steel
1060
00:54:57,920 --> 00:55:01,200
demand growth is.
What what do you make of FMG?
1061
00:55:01,200 --> 00:55:04,080
As you mentioned their, their
ambitions, they've been, you
1062
00:55:04,080 --> 00:55:07,800
know, pretty steadfast in
wanting to be real, real zero, I
1063
00:55:07,800 --> 00:55:11,560
think is the terminology they
use now by by 20-30 if you spend
1064
00:55:11,560 --> 00:55:16,200
time looking at that.
Yeah, I mean the the various
1065
00:55:16,200 --> 00:55:19,200
pathways, there's actually a big
a new project which I played a
1066
00:55:19,200 --> 00:55:22,760
minor role in looking at all
these pathways to reduce carbon
1067
00:55:22,760 --> 00:55:26,160
and steel and that paper should
be out in about four months.
1068
00:55:26,160 --> 00:55:31,440
I think it's been an absolute
bear of a modelling exercise.
1069
00:55:32,800 --> 00:55:35,720
I think it.
Yeah, it's been been quite a
1070
00:55:35,720 --> 00:55:39,080
journey modelling all these
various pathways to how you how
1071
00:55:39,120 --> 00:55:42,000
you can decarbonize stuff.
So do you do, do you just run,
1072
00:55:42,000 --> 00:55:44,000
do you just run met coal and do
carbon capture?
1073
00:55:44,080 --> 00:55:46,440
That's an option.
Do you do this stuff where you
1074
00:55:46,440 --> 00:55:49,920
take very finely ground?
I'm fine.
1075
00:55:49,920 --> 00:55:53,120
Stick it in a sodium hydroxide
bath at 100 C, run an
1076
00:55:53,120 --> 00:55:55,680
electrolytic cell through it and
then scrape off the eye.
1077
00:55:55,680 --> 00:55:57,720
That's another option.
There's a hydrogen thing.
1078
00:55:57,720 --> 00:55:59,800
Everyone knows about that.
So there's a lot of ways up the
1079
00:55:59,800 --> 00:56:02,200
mountain and just working out
what the mix is going to be.
1080
00:56:04,240 --> 00:56:07,120
I think Fortescue's got a number
of bets.
1081
00:56:07,120 --> 00:56:10,240
They've got electrolytic cell
thing they're working on.
1082
00:56:10,920 --> 00:56:13,000
They've obviously got this
hydrogen thing which is now
1083
00:56:13,000 --> 00:56:15,320
going to be stopped, they said
next year at Christmas Creek.
1084
00:56:15,760 --> 00:56:18,160
So we're going to see.
But they're plenty serious and
1085
00:56:18,400 --> 00:56:23,400
they're putting the money down.
I think it's I think part of the
1086
00:56:23,400 --> 00:56:27,240
problem is being, is that they
have talked a very big game up
1087
00:56:27,240 --> 00:56:29,960
to this point and it's very hard
for customers to understand
1088
00:56:29,960 --> 00:56:31,960
what's real and what's not.
But I think people are going to
1089
00:56:31,960 --> 00:56:34,840
start taking delivery of
material and at that point it's
1090
00:56:34,840 --> 00:56:36,200
going to be pretty real next
year.
1091
00:56:36,680 --> 00:56:38,600
I mean, this is the same when
for the ski started.
1092
00:56:38,800 --> 00:56:43,840
They were a high yield borrower
when I started in in finance and
1093
00:56:44,080 --> 00:56:46,000
no one was ever sure whether
Triggy was real.
1094
00:56:46,000 --> 00:56:47,240
And lots of people were very
sceptical.
1095
00:56:47,240 --> 00:56:50,800
But Triggy's shown himself to be
a bit of a talker, but he's also
1096
00:56:50,800 --> 00:56:53,280
a deliberate.
So I think that's you got to
1097
00:56:53,280 --> 00:56:54,880
kind of get him further than
that point.
1098
00:56:56,240 --> 00:56:59,320
I suppose the, the, the last
kind of area I want to explore
1099
00:56:59,320 --> 00:57:01,640
is one that I haven't seen you
write about yet, but he's, you
1100
00:57:01,640 --> 00:57:05,360
know, incredibly topical.
And that's the current state of
1101
00:57:05,360 --> 00:57:09,960
the iron ore market and being,
you know, being kind of having a
1102
00:57:10,560 --> 00:57:12,880
decent China lens.
Alex, I imagine you've been
1103
00:57:12,880 --> 00:57:15,440
thinking about this a bit too.
Yeah.
1104
00:57:15,440 --> 00:57:17,640
I mean, it's a, it's a lot like
sort of the question is a lot
1105
00:57:17,640 --> 00:57:21,480
like when China had a big real
estate sort of slow down 201415
1106
00:57:22,040 --> 00:57:26,160
and we briefly touched what was
the low print like $34 on spot
1107
00:57:26,160 --> 00:57:28,280
or something like that.
It was that was pretty
1108
00:57:28,280 --> 00:57:33,240
terrifying.
I think the scary thing now, OK,
1109
00:57:33,240 --> 00:57:37,360
so basically China is about a
5050 split between imports of
1110
00:57:37,360 --> 00:57:41,680
iron and domestic production.
And the domestic stuff is by all
1111
00:57:41,680 --> 00:57:44,120
accounts kind of rubbish.
It's got high phosphorus, it's
1112
00:57:44,520 --> 00:57:47,600
in a lot of places, it's, you
know, blended average cost is
1113
00:57:47,600 --> 00:57:50,400
maybe 7080 bucks a tonne.
But as we have seen with
1114
00:57:50,400 --> 00:57:53,000
lithium, China will keep stuff
running at a loss for their
1115
00:57:53,080 --> 00:57:55,200
national security or self
sufficiency reasons.
1116
00:57:55,680 --> 00:58:03,080
So the real horror show node is
for next year is no one really
1117
00:58:03,080 --> 00:58:04,560
taps the brakes in the pill,
bro.
1118
00:58:05,960 --> 00:58:10,240
China keeps running their
production at a big loss and
1119
00:58:10,240 --> 00:58:12,000
then you've got some undo coming
over the top.
1120
00:58:12,000 --> 00:58:14,280
Depending on when you think
that's going to happen or how
1121
00:58:14,280 --> 00:58:17,760
much, how much that will happen,
that could get very scary
1122
00:58:17,760 --> 00:58:22,240
indeed.
And the issue is, is that what's
1123
00:58:22,240 --> 00:58:25,800
China's flaw in terms of how
much demand is going to recede?
1124
00:58:25,840 --> 00:58:28,480
And it's pretty clear that's
going to recede a fair bit.
1125
00:58:29,000 --> 00:58:31,880
But then also, at what point are
they going to gradually start to
1126
00:58:31,880 --> 00:58:33,560
turn off their domestic
production, which is not
1127
00:58:33,560 --> 00:58:37,240
competitive?
And I don't know, but there are
1128
00:58:37,240 --> 00:58:38,840
a lot of people who thought the
pedal light would have been
1129
00:58:38,840 --> 00:58:40,720
turned off by now.
It's still running.
1130
00:58:42,600 --> 00:58:46,640
Yes, apparently not everyone.
Well, you can get, you can get,
1131
00:58:46,720 --> 00:58:49,120
we can get satellite products.
And there's still what what is?
1132
00:58:49,120 --> 00:58:50,400
Yeah.
Give us a bit of insight on
1133
00:58:50,440 --> 00:58:53,560
that.
So it's funny, like I, I, I, I
1134
00:58:53,760 --> 00:58:58,960
sort of, I, I speak and read and
write Mandarin.
1135
00:58:58,960 --> 00:59:02,520
So I sort of tried to check in
on, well, you know, like in
1136
00:59:02,520 --> 00:59:06,640
these mining towns in Jiangxi,
what people are like each and
1137
00:59:06,640 --> 00:59:08,320
what they've got all these
people of petal light mines and
1138
00:59:08,320 --> 00:59:10,240
they're kind of horrible because
the grade's terrible.
1139
00:59:10,240 --> 00:59:12,800
They produce all this, you know,
mine waste.
1140
00:59:12,800 --> 00:59:15,320
And previously a lot of that
mine waste was just basically
1141
00:59:15,320 --> 00:59:18,600
gypsum.
So I went into fiberboard for
1142
00:59:18,600 --> 00:59:21,880
construction and that was fine.
And now of course, the real
1143
00:59:21,880 --> 00:59:26,040
estate markets toast.
So there's clearly big waste
1144
00:59:26,040 --> 00:59:28,680
piles around the place and some
of the locals are expressing
1145
00:59:29,040 --> 00:59:31,760
firm opinions locally, but
they're still running these
1146
00:59:31,760 --> 00:59:33,920
plants.
And they're by all accounts, I
1147
00:59:33,920 --> 00:59:38,240
mean, they say their costs are
in the high, you know, on
1148
00:59:38,240 --> 00:59:40,440
carbonate equivalent, like
eighty, $19,000.
1149
00:59:40,440 --> 00:59:44,240
I think that's an underestimate.
But you know, obviously people
1150
00:59:44,240 --> 00:59:45,600
have different, different
opinions.
1151
00:59:45,600 --> 00:59:49,040
But by all accounts, they are
losing like -30% gross margins.
1152
00:59:49,440 --> 00:59:51,320
Like that's the full case on
these guys right now.
1153
00:59:52,680 --> 00:59:55,040
Is that the full and this is
fully integrated cost?
1154
00:59:55,600 --> 00:59:57,400
No, this is cash.
I'm the integrator.
1155
00:59:58,120 --> 01:00:00,600
I don't know 25.
So I mean, these guys are just
1156
01:00:00,600 --> 01:00:03,960
losing money hand over fixed.
And if they if they like that's
1157
01:00:04,360 --> 01:00:06,920
that's one of the numbers I
really watch and lithium is that
1158
01:00:07,320 --> 01:00:10,320
if they start to turn off that
supply, then the market will
1159
01:00:10,320 --> 01:00:13,000
normalise pretty quickly.
But to the extent that China
1160
01:00:13,080 --> 01:00:16,200
wants to dump and wants to
produce stuff at a massive loss
1161
01:00:16,200 --> 01:00:19,240
for other reasons, you know,
security or whatever the
1162
01:00:19,240 --> 01:00:22,880
internal narrative is, it's very
hard for that market to behave
1163
01:00:22,880 --> 01:00:25,280
itself normally.
So also some headlines that in
1164
01:00:25,280 --> 01:00:29,520
in Zijin's latest reporting, you
could kind of infer that that
1165
01:00:29,520 --> 01:00:32,800
they, you know, throttled some
some some lipidilite production.
1166
01:00:33,720 --> 01:00:36,240
There's some, but there's still
a lot running and the amount
1167
01:00:36,240 --> 01:00:38,280
that they threw on last year was
crazy.
1168
01:00:38,280 --> 01:00:40,720
Yeah, I was.
I was at Fast Markets in May
1169
01:00:40,720 --> 01:00:46,760
last year and a guy from one of
the domestic producers in China,
1170
01:00:46,760 --> 01:00:50,560
this is when Spider Man
carbonate was still like 35
1171
01:00:50,560 --> 01:00:53,800
grand or something on the basis
of we're going to crush this.
1172
01:00:53,960 --> 01:00:55,800
You know, we get where our costs
are like high teens.
1173
01:00:55,800 --> 01:00:57,320
I was like, OK, so we're going
to high teens.
1174
01:00:57,360 --> 01:00:58,640
It's good shorting down to
there.
1175
01:00:58,960 --> 01:01:00,440
But then they haven't turned
anything off.
1176
01:01:00,440 --> 01:01:03,400
So it's just it's just kept on
getting getting smoked.
1177
01:01:03,560 --> 01:01:06,080
So we'll see.
I think we're kind of waiting to
1178
01:01:06,080 --> 01:01:08,800
see what what they do because
that would be the that would be
1179
01:01:09,200 --> 01:01:12,240
in a normal market where
companies try to make money.
1180
01:01:12,960 --> 01:01:14,440
That would be how things would
normal.
1181
01:01:14,800 --> 01:01:17,080
But China is not just about
making money.
1182
01:01:17,240 --> 01:01:19,640
In fact, it's something that's
very not about making money.
1183
01:01:20,400 --> 01:01:21,800
They're done.
Well, If you kept that short
1184
01:01:21,800 --> 01:01:23,600
position open, that'd have been
pretty fruitful.
1185
01:01:24,160 --> 01:01:24,520
What?
What?
1186
01:01:24,520 --> 01:01:25,200
What do you kind of.
Yeah.
1187
01:01:26,120 --> 01:01:27,760
Yeah, it's been, it's been OK.
But then the problem is
1188
01:01:27,760 --> 01:01:29,560
everything gets kicked out of
the index and you can't get the
1189
01:01:29,560 --> 01:01:30,920
stock borrow and you know it's
like.
1190
01:01:34,080 --> 01:01:38,120
That could be worse problems.
What do you think of Chinese
1191
01:01:38,480 --> 01:01:40,440
government stimulus more more
broadly?
1192
01:01:40,440 --> 01:01:41,640
There's been a lot made of it.
Obviously.
1193
01:01:41,640 --> 01:01:45,160
You mentioned that the property
market in a real, you know,
1194
01:01:45,920 --> 01:01:48,680
point of pain.
Do you think there's more
1195
01:01:48,680 --> 01:01:51,680
stimulus to come through or do
you think that's kind of run its
1196
01:01:51,680 --> 01:01:55,040
course and the, the property
sector and the, the portion of,
1197
01:01:55,040 --> 01:01:58,200
you know, economic output that
makes up of China is going to
1198
01:01:58,720 --> 01:02:03,160
normalise over time?
I, I think what they're trying
1199
01:02:03,160 --> 01:02:05,920
to do now is they're basically
stopped property because it was,
1200
01:02:05,960 --> 01:02:07,520
it was very crazy for a long
time.
1201
01:02:07,600 --> 01:02:11,080
There were, you know, very the
guys, Hugh Andrews sort of
1202
01:02:11,080 --> 01:02:14,400
called this out before he went
really went literally very
1203
01:02:14,400 --> 01:02:16,840
tropo.
It was clearly a little bit nuts
1204
01:02:17,000 --> 01:02:17,960
even a decade ago.
He's.
1205
01:02:18,680 --> 01:02:20,640
Pretty good he's.
Great.
1206
01:02:20,640 --> 01:02:24,680
I think he's he's I love that
guy, but you know, he went there
1207
01:02:24,680 --> 01:02:26,000
and he was like, this is
bananas.
1208
01:02:26,000 --> 01:02:29,880
And it was right.
And eventually they decided to
1209
01:02:29,880 --> 01:02:31,320
stop that.
So what they're doing now is
1210
01:02:31,320 --> 01:02:36,520
they're trying to export their
way out of this malaise through
1211
01:02:36,520 --> 01:02:39,880
EVs, through solar, through
batteries.
1212
01:02:40,120 --> 01:02:43,920
But now it seems like they're
you know that even that all that
1213
01:02:43,920 --> 01:02:45,520
output is struggling to get
absorbed now.
1214
01:02:47,440 --> 01:02:50,280
So yeah.
So I'm not sure what's what's
1215
01:02:50,280 --> 01:02:52,800
really next for them.
The usual answer is in most
1216
01:02:52,800 --> 01:02:57,000
countries is you actually try to
not have all these stead in
1217
01:02:57,000 --> 01:03:00,000
enterprises for all this cash
and you just distribute
1218
01:03:00,000 --> 01:03:02,040
dividends to effectively people
in them, which is the
1219
01:03:02,040 --> 01:03:04,400
government.
And then the government can, you
1220
01:03:04,400 --> 01:03:09,080
know, encourage a more stimulus
for locals, but but that's not
1221
01:03:09,080 --> 01:03:11,760
happening.
So I think they're kind of
1222
01:03:11,760 --> 01:03:13,400
running out of Rd.
I'm not sure what their next
1223
01:03:13,400 --> 01:03:17,240
category categories are.
They're going to try to take
1224
01:03:17,240 --> 01:03:19,560
some crazy global sharing as
quickly as they can.
1225
01:03:20,320 --> 01:03:22,600
And obviously there's real
pushback now on trade with
1226
01:03:22,600 --> 01:03:25,000
these.
The Europeans are getting very
1227
01:03:25,320 --> 01:03:28,320
pointed.
The Americans have slammed the
1228
01:03:28,320 --> 01:03:31,240
door shut.
So ultimately, how many EVs and
1229
01:03:31,240 --> 01:03:35,120
solar panels can you dump into
places like Pakistan and Nepal?
1230
01:03:35,120 --> 01:03:36,520
It's a good number, but it's
not.
1231
01:03:36,760 --> 01:03:39,520
It's not even AUS state in terms
of demand terms.
1232
01:03:40,840 --> 01:03:44,800
I was reading somewhere that
Chinese policy setters haven't
1233
01:03:44,800 --> 01:03:47,840
have a better appreciation than
than the ones in the West in
1234
01:03:47,840 --> 01:03:50,760
relation to kind of moral hazard
and fragility in the, you know,
1235
01:03:50,920 --> 01:03:53,720
the financial system, etcetera.
And and maybe, you know, maybe
1236
01:03:53,720 --> 01:03:58,240
maybe there's a some of the, you
know, some of the stimulatory or
1237
01:03:58,240 --> 01:04:01,680
lack thereof kind of stuff to
come from now we'll have that in
1238
01:04:01,680 --> 01:04:04,000
mind.
Is that a valid perspective do
1239
01:04:04,000 --> 01:04:08,160
you think or is it?
I, I think it's, I think there
1240
01:04:08,160 --> 01:04:14,160
are some people who sort of have
this, let's try to turn this
1241
01:04:14,160 --> 01:04:15,880
into sort of more of a moral
exercise.
1242
01:04:16,200 --> 01:04:19,480
The ultimate point is China is
able to not go into a massive
1243
01:04:19,480 --> 01:04:26,000
recession right now because they
are able to export a lot and
1244
01:04:26,000 --> 01:04:29,680
absorb demand elsewhere.
So also someone's going to buy
1245
01:04:29,680 --> 01:04:33,200
all this stuff.
And the issue is that a people
1246
01:04:33,200 --> 01:04:36,960
in Europe or the US in
particular, take the view that
1247
01:04:36,960 --> 01:04:40,000
they don't want the auto sector
to be annihilated by Chinese
1248
01:04:40,000 --> 01:04:44,240
exports, then what's China going
to do then, right?
1249
01:04:44,240 --> 01:04:47,480
This is this whole thing works
so long as they can export
1250
01:04:47,640 --> 01:04:50,120
unimpeded.
And as in the case, and lithium
1251
01:04:50,120 --> 01:04:52,800
can export, you know, basically
run losses.
1252
01:04:52,800 --> 01:04:55,240
The banking system just
underwrites the losses of the
1253
01:04:55,240 --> 01:04:57,440
pedal like guys, so they can
export.
1254
01:04:58,080 --> 01:05:00,600
And that's that's essentially
like, do you want to give people
1255
01:05:01,920 --> 01:05:04,600
a stimulus so they can monitor
working services or do anything
1256
01:05:04,600 --> 01:05:06,240
else?
What do you want to underwrite
1257
01:05:06,240 --> 01:05:09,480
losses at a corporations that
keep people employed with?
1258
01:05:09,880 --> 01:05:12,640
The whole endpoint is kind of
like maintaining jobs, but it's
1259
01:05:12,640 --> 01:05:15,680
just this very elaborate way
which you have to kind of crush
1260
01:05:15,680 --> 01:05:18,480
businesses elsewhere.
I don't know how long term
1261
01:05:18,480 --> 01:05:21,560
sustainable that is.
You know, the places where they
1262
01:05:21,560 --> 01:05:24,840
are dumping.
And I think that's that's going
1263
01:05:24,840 --> 01:05:27,520
to be a challenge.
So we'll say, I mean, the US
1264
01:05:27,520 --> 01:05:29,600
obviously has become
increasingly sceptical on free
1265
01:05:29,600 --> 01:05:31,840
trade with them.
I think a lot of that's quite
1266
01:05:31,840 --> 01:05:34,960
well reasoned.
Europe's kind of getting there
1267
01:05:34,960 --> 01:05:37,120
in places.
So I'm not sure how much longer
1268
01:05:37,120 --> 01:05:39,280
they'll be able to keep this up.
It's really a political question
1269
01:05:39,280 --> 01:05:41,960
in Europe and the US more than
anything else.
1270
01:05:43,640 --> 01:05:45,440
Fascinating.
Beautiful mate, I've got I've
1271
01:05:45,440 --> 01:05:47,920
got nothing else but I've really
appreciated this conversation.
1272
01:05:48,000 --> 01:05:52,520
Sensational.
I was zoned in the whole time.
1273
01:05:52,520 --> 01:05:56,320
That was freaking awesome mate.
Yeah, I'm a I'm a fan of the
1274
01:05:56,640 --> 01:05:59,160
the, the global view.
So yeah, appreciate you making
1275
01:05:59,160 --> 01:06:00,480
the time coming on the show,
Alex.
1276
01:06:00,560 --> 01:06:03,160
It's, it's actually our first,
first yarn in the weeds about
1277
01:06:03,160 --> 01:06:06,360
data centres really like of
actually going into detail
1278
01:06:06,360 --> 01:06:09,440
because it's a, it's a buzzword
at the moment, but.
1279
01:06:10,160 --> 01:06:12,000
Other than antimony.
Antimony.
1280
01:06:12,320 --> 01:06:15,640
Surprised the antimony but but
it's like that's the first
1281
01:06:15,680 --> 01:06:18,600
thought in detail one we've had.
So I look forward to plenty more
1282
01:06:18,600 --> 01:06:20,480
of that.
I mean, a lot of these weird
1283
01:06:20,480 --> 01:06:22,840
like off the run metal, like
gallium for example, like that
1284
01:06:22,840 --> 01:06:26,560
was like 3 bucks a kilo.
Like because China just decided,
1285
01:06:26,560 --> 01:06:30,040
hey, we produce a bunch of
bauxite, you know, we might as
1286
01:06:30,040 --> 01:06:32,800
well aluminium, we might as well
just produce a byproduct.
1287
01:06:33,160 --> 01:06:35,360
And The funny thing is now we've
got a China's basically banned
1288
01:06:35,360 --> 01:06:37,840
exports.
The price is now 455 bucks a
1289
01:06:37,840 --> 01:06:40,200
kilo.
And at the same time, I saw
1290
01:06:40,200 --> 01:06:42,720
actually an article in the West,
there were people getting all
1291
01:06:42,720 --> 01:06:48,640
stroppy about the wagger up and
all the like refineries of all
1292
01:06:48,640 --> 01:06:54,320
that red mud waste in WA.
And I'm like, wait up, we've got
1293
01:06:54,320 --> 01:06:56,400
a gallium shortage outside
China, OK.
1294
01:06:57,120 --> 01:07:01,160
And we've got a red mud disposal
problem in WA.
1295
01:07:01,520 --> 01:07:04,040
Interesting.
Why don't we just process all
1296
01:07:04,040 --> 01:07:06,720
the red mud, do exactly what
they do in China and solve this
1297
01:07:06,720 --> 01:07:08,200
problem?
And it's like there's no
1298
01:07:08,200 --> 01:07:12,280
discussion of that anywhere.
It's it's pretty funny.
1299
01:07:12,280 --> 01:07:14,960
So there's a lot of these,
there's a lot of these kinds of
1300
01:07:14,960 --> 01:07:16,960
missing markets where I think
there's room for the government
1301
01:07:16,960 --> 01:07:19,840
to say, all right, guys, you
need to reprocess that waste.
1302
01:07:19,840 --> 01:07:21,360
But here's the thing.
I'm gonna give you, you know,
1303
01:07:21,360 --> 01:07:25,320
300 bucks for the 300 bucks kilo
for the for the gallium and that
1304
01:07:25,320 --> 01:07:26,960
would work.
I'm going, I'm going to find a
1305
01:07:26,960 --> 01:07:29,400
red mud producer and we'll talk
after the show, mate.
1306
01:07:29,560 --> 01:07:32,040
There's, there's, there's a lot
of it in WA.
1307
01:07:32,040 --> 01:07:34,520
The alumina guy sounded like a
former guest of our our, our
1308
01:07:34,760 --> 01:07:35,800
party.
Todd Milan.
1309
01:07:35,800 --> 01:07:37,480
You might even know him, but he
was.
1310
01:07:37,480 --> 01:07:38,840
I think he used to head up there
was.
1311
01:07:38,840 --> 01:07:40,120
He's a nickel guy, right?
Yeah.
1312
01:07:40,520 --> 01:07:43,720
But he used to be like Rio Tinto
aluminium division.
1313
01:07:43,800 --> 01:07:45,720
Some, some, some.
Senior role there and he, he
1314
01:07:45,720 --> 01:07:49,120
advocated for, you know, these
gallium circuits on some of the
1315
01:07:49,120 --> 01:07:51,120
downstream stuff.
But but you know, never quite
1316
01:07:51,320 --> 01:07:54,520
like that that you know, small
CapEx and like you know, it was,
1317
01:07:54,560 --> 01:07:57,800
it was just kind of irrelevant
and never, never, never kind of
1318
01:07:57,800 --> 01:08:00,440
justified anything.
Any, any, this is The funny
1319
01:08:00,440 --> 01:08:02,600
thing with all these like
critical, like particularly the
1320
01:08:02,600 --> 01:08:05,480
stuff in semiconductors, like
everyone kind of assumes it's
1321
01:08:05,480 --> 01:08:07,280
going to be there.
If you're a real tenter, you're
1322
01:08:07,280 --> 01:08:09,840
like, OK, so I'm going to put in
150 bucks, so I could have maybe
1323
01:08:09,840 --> 01:08:11,360
make 20 bucks a day, but they're
a year.
1324
01:08:11,360 --> 01:08:14,480
Like this is sort of pizza money
at Rio Tinto.
1325
01:08:14,880 --> 01:08:16,960
But the problem is when we don't
have it, we will absolutely
1326
01:08:16,960 --> 01:08:18,680
know.
That cannot be not fun.
1327
01:08:19,200 --> 01:08:21,680
So I think that in those
situations, there's definitely a
1328
01:08:21,680 --> 01:08:24,800
role for government for sure.
Ah, bloody beautiful mate.
1329
01:08:24,800 --> 01:08:27,080
I apologise in advance
everything you said about data
1330
01:08:27,080 --> 01:08:29,920
centres and that or you're gonna
be hear those words resonating
1331
01:08:29,920 --> 01:08:32,560
out of my mouth in the future as
my own idea.
1332
01:08:32,560 --> 01:08:35,439
So just letting you know, hope
they're not copyright.
1333
01:08:35,439 --> 01:08:37,120
Yeah.
So I appreciate the insight
1334
01:08:37,120 --> 01:08:38,359
mate.
That was sensational.
1335
01:08:38,479 --> 01:08:39,279
Cheers, Alex.
Thanks.
1336
01:08:39,319 --> 01:08:40,560
Good to chat, have a good one.
Bye.
1337
01:08:41,080 --> 01:08:41,560
You too mate.
How?
1338
01:08:41,800 --> 01:08:42,279
Good.
Was that?
1339
01:08:42,520 --> 01:08:46,439
That was awesome.
That was that was as yeah, that
1340
01:08:46,439 --> 01:08:48,880
was really fascinating.
I love, I love asking any
1341
01:08:48,880 --> 01:08:50,359
question and having someone
answer it.
1342
01:08:50,600 --> 01:08:52,200
So what?
They just know heaps of shit.
1343
01:08:52,840 --> 01:08:55,600
That, that global view is very
much up my alley.
1344
01:08:55,600 --> 01:08:58,439
So I was, I was a big fan of
that chat and you know, a lot of
1345
01:08:58,760 --> 01:09:01,160
different talking points and
like you said, Maddie data
1346
01:09:01,160 --> 01:09:02,880
centres, these sorts of things,
things we haven't touched on,
1347
01:09:03,120 --> 01:09:05,760
which I'm sure we will do a
whole lot more of in the future.
1348
01:09:05,760 --> 01:09:09,960
But if he had like, in terms of
the like investment experience
1349
01:09:09,960 --> 01:09:13,600
and said he can read and write
Mandarin, like, that'd be like
1350
01:09:13,600 --> 01:09:16,240
the most appealing Tinder
profile he could put up.
1351
01:09:16,279 --> 01:09:20,720
Like far out like what a bloke.
Like I said, anything he can't
1352
01:09:20,720 --> 01:09:22,520
do?
Unbelievable.
1353
01:09:22,840 --> 01:09:24,800
Speaking of Speaking of
unbelievable, Maddie.
1354
01:09:25,040 --> 01:09:30,960
Axis axis mining technology lost
for words our unbelievable
1355
01:09:30,960 --> 01:09:32,920
mineral mining services.
You want to look after your
1356
01:09:32,920 --> 01:09:37,000
health and get a good sleep.
Do ajv with them mate verify
1357
01:09:37,359 --> 01:09:41,800
buddy Adia Adia first ad route
for Adia yesterday get excited
1358
01:09:41,800 --> 01:09:46,000
for the conference.
DSI underground Silverstone CRE
1359
01:09:46,000 --> 01:09:51,359
insurance greenlands equipment
pipes pipes pipes K drill and
1360
01:09:51,840 --> 01:09:55,000
obviously it's no brainer.
Get a Spark chart India.
1361
01:09:55,280 --> 01:09:59,600
Pedro, go Australia.
Information contained in this
1362
01:09:59,600 --> 01:10:02,360
episode of Money of Mine is of
general nature only and does not
1363
01:10:02,360 --> 01:10:05,000
take into account the
objectives, financial situation
1364
01:10:05,040 --> 01:10:07,080
or needs of any particular
person.
1365
01:10:07,360 --> 01:10:10,400
Before making any investment
decision, you should consult
1366
01:10:10,400 --> 01:10:13,440
with your financial advisor and
consider how appropriate the
1367
01:10:13,440 --> 01:10:17,160
advice is to your objectives,
financial situation and needs.