1 00:00:00,520 --> 00:00:02,920 Speaker 1: This is Tom Rowland's Reese and you're listening to Switched 2 00:00:02,960 --> 00:00:05,720 Speaker 1: on the B and EF podcast. Copper may be one 3 00:00:05,720 --> 00:00:09,800 Speaker 1: of our most underappreciated metals. Essential for transport, construction and 4 00:00:09,840 --> 00:00:12,559 Speaker 1: the manufacturing of consumer goods. Is also critical for the 5 00:00:12,600 --> 00:00:15,120 Speaker 1: parer and electric vehicle sectors that make up the cornerstone 6 00:00:15,120 --> 00:00:17,759 Speaker 1: of the energy transition. The supply and demand balance of 7 00:00:17,760 --> 00:00:21,160 Speaker 1: the mineral is already worryingly tight, but with increasing demand growth, 8 00:00:21,160 --> 00:00:23,160 Speaker 1: we could see a shortage of copper suppli as soon 9 00:00:23,160 --> 00:00:25,640 Speaker 1: as twenty twenty eight and the six million ton deficit 10 00:00:25,680 --> 00:00:29,320 Speaker 1: by twenty thirty five. Meanwhile, data center rollout is gathering 11 00:00:29,320 --> 00:00:32,200 Speaker 1: pace across the planet, and those huge facilities all require 12 00:00:32,520 --> 00:00:35,240 Speaker 1: you guessed it, lots and lots of copper. With so 13 00:00:35,360 --> 00:00:38,120 Speaker 1: much demand, you'd logically expect that miners would be falling 14 00:00:38,159 --> 00:00:40,199 Speaker 1: over themselves to explore for the mineral and open up 15 00:00:40,200 --> 00:00:43,400 Speaker 1: new mining facilities, but actually the reverse has been happening. 16 00:00:43,640 --> 00:00:46,480 Speaker 1: Economic concerns mean that companies are leaning into keeping old 17 00:00:46,520 --> 00:00:49,000 Speaker 1: minds up and running rather than starting new ones, and 18 00:00:49,080 --> 00:00:52,199 Speaker 1: in some cases minds are even being closed. So just 19 00:00:52,200 --> 00:00:53,960 Speaker 1: what is it about this metal that runs counter to 20 00:00:54,000 --> 00:00:56,800 Speaker 1: common logic and what is its near term demand outlook. 21 00:00:57,080 --> 00:01:00,000 Speaker 1: Today I'm joined by Rosemary Cats, a senior associate from 22 00:01:00,040 --> 00:01:03,040 Speaker 1: BNF's Metals and Minings team. We discussed the findings from 23 00:01:03,040 --> 00:01:05,920 Speaker 1: her note tracking copper and data centers twenty twenty five 24 00:01:05,959 --> 00:01:09,319 Speaker 1: to twenty thirty five supply crunch, which BNF clients can 25 00:01:09,360 --> 00:01:12,120 Speaker 1: find at BNF go on the Bloomberg terminal or on 26 00:01:12,200 --> 00:01:14,720 Speaker 1: BNF dot com. All right, let's get to talking about 27 00:01:14,720 --> 00:01:17,720 Speaker 1: copper supply constraints and the growing demand from data centers. 28 00:01:17,400 --> 00:01:28,399 Speaker 2: With Rose Rose Welcome to the podcast. 29 00:01:28,800 --> 00:01:29,959 Speaker 3: Thank you Tom for having me. 30 00:01:30,560 --> 00:01:34,000 Speaker 1: So copper is what we're talking about today, and we 31 00:01:34,080 --> 00:01:36,399 Speaker 1: have our Metals and Mining team, which you're part of, 32 00:01:36,400 --> 00:01:38,640 Speaker 1: of course, and a lot of the time you're talking 33 00:01:38,720 --> 00:01:43,440 Speaker 1: about sort of metals like lithium and cobble less everyday metals. 34 00:01:43,480 --> 00:01:45,959 Speaker 1: You know, everyone is familiar with copper. In some senses, 35 00:01:46,000 --> 00:01:48,880 Speaker 1: it seems a little bit unsexy because there's nothing new 36 00:01:48,920 --> 00:01:51,800 Speaker 1: about it. So why are we talking so much about copper? 37 00:01:51,840 --> 00:01:52,680 Speaker 1: Why does it matter? 38 00:01:53,080 --> 00:01:57,040 Speaker 3: Well, Tom, copper is becoming sexier again, and mainly because 39 00:01:57,040 --> 00:02:00,920 Speaker 3: of the rapid buildout of data center infrastructure across the world, 40 00:02:01,080 --> 00:02:04,520 Speaker 3: and also the other sexier part, as you put it, 41 00:02:04,600 --> 00:02:07,560 Speaker 3: is the fact that there's not enough material that is 42 00:02:07,640 --> 00:02:11,320 Speaker 3: being mined and refined to actually support all this copper 43 00:02:11,320 --> 00:02:15,919 Speaker 3: infrastructure from your traditional sectors like manufacturing, to the energy 44 00:02:15,919 --> 00:02:19,600 Speaker 3: transition itself, and now for data centers. That's why it's 45 00:02:19,639 --> 00:02:21,280 Speaker 3: all a buzz at this point in time. 46 00:02:21,680 --> 00:02:24,600 Speaker 1: So that's kind of a new buzz around it because 47 00:02:24,639 --> 00:02:27,760 Speaker 1: of data centers can just talk about the other ways 48 00:02:27,760 --> 00:02:30,519 Speaker 1: in which copper is important, because I imagine that if maybe 49 00:02:30,600 --> 00:02:33,920 Speaker 1: a shortage of copper supply because of this data center demand, 50 00:02:33,960 --> 00:02:36,680 Speaker 1: there might be other areas that are impacted by that. 51 00:02:37,000 --> 00:02:39,760 Speaker 3: Yeah, so the story is just not about data centers. So, 52 00:02:39,840 --> 00:02:43,200 Speaker 3: as I said, demand from an absolute point of view 53 00:02:43,360 --> 00:02:46,560 Speaker 3: is basically it comes from your traditional sectors, right the 54 00:02:46,680 --> 00:02:52,120 Speaker 3: largest sector of that demand, which includes construction, manufacturing, electronics, 55 00:02:52,280 --> 00:02:56,360 Speaker 3: internal combustion vehicles. They already take up a lot of 56 00:02:56,360 --> 00:02:59,760 Speaker 3: that copper demand and require a lot of supply in turn. 57 00:03:00,040 --> 00:03:03,480 Speaker 3: And then we have as the energy transition that is 58 00:03:03,520 --> 00:03:08,600 Speaker 3: electrification through electric vehicles, through battery storage, through the buildout 59 00:03:08,639 --> 00:03:12,000 Speaker 3: of wind and solar. They also require copper, and the 60 00:03:12,200 --> 00:03:15,160 Speaker 3: energy transition is actually one of the fastest growing markets 61 00:03:15,240 --> 00:03:18,200 Speaker 3: right now. Data centers, in essence, are competing with these 62 00:03:18,240 --> 00:03:21,880 Speaker 3: two massive industries for this limited supply at the end 63 00:03:21,880 --> 00:03:22,200 Speaker 3: of the day. 64 00:03:22,440 --> 00:03:23,520 Speaker 2: See, it's amazing. 65 00:03:23,639 --> 00:03:26,840 Speaker 1: It sounds like copper is both an important part of 66 00:03:26,880 --> 00:03:29,960 Speaker 1: the past and an important part of the future, both 67 00:03:29,960 --> 00:03:34,239 Speaker 1: in terms of the energy transition and areas like artificial intelligence. 68 00:03:34,400 --> 00:03:37,880 Speaker 1: It almost feels like we've been taking copper for granted 69 00:03:38,000 --> 00:03:41,120 Speaker 1: for years, and now we're beginning to find out that 70 00:03:41,120 --> 00:03:43,760 Speaker 1: that was not the right way to think about copper. 71 00:03:44,040 --> 00:03:46,560 Speaker 3: That's actually quite true, and it's not that, you know, 72 00:03:46,880 --> 00:03:49,280 Speaker 3: we've been taking it for granted, more like it's not 73 00:03:49,440 --> 00:03:53,000 Speaker 3: been kept in the limelight so that we stay abreast 74 00:03:53,080 --> 00:03:56,280 Speaker 3: of this risk that's ever looming. If we look back 75 00:03:56,320 --> 00:04:00,560 Speaker 3: in history, big copper producers have you know, published notes 76 00:04:00,720 --> 00:04:04,800 Speaker 3: of work to say, hey, we're struggling globally and prices 77 00:04:04,880 --> 00:04:06,320 Speaker 3: at the end of the day, I have signaled that 78 00:04:06,680 --> 00:04:09,360 Speaker 3: quite obviously. I mean, copper prices on the first of 79 00:04:09,400 --> 00:04:13,000 Speaker 3: August was at nine six hundred dollars per ton. It's 80 00:04:13,040 --> 00:04:17,160 Speaker 3: gone up to about nine nine hundred recently. So that's 81 00:04:17,240 --> 00:04:20,200 Speaker 3: a clear signal that there's a problem here, and that 82 00:04:20,320 --> 00:04:22,919 Speaker 3: can be attributed to the lack of supply that's coming 83 00:04:22,920 --> 00:04:23,640 Speaker 3: through the system. 84 00:04:24,320 --> 00:04:26,120 Speaker 2: So let's talk about the supply. 85 00:04:26,560 --> 00:04:29,400 Speaker 1: Where is all of this copper that we don't have 86 00:04:29,520 --> 00:04:31,479 Speaker 1: enough of, where is it coming from? 87 00:04:31,560 --> 00:04:36,640 Speaker 3: So supply currently mainly comes from South America, Chile, Peru, 88 00:04:36,920 --> 00:04:40,880 Speaker 3: and then the US and Australia also produce copper. Similarly, 89 00:04:40,880 --> 00:04:44,360 Speaker 3: in Africa, we have the DRC in Zambia also producing 90 00:04:44,440 --> 00:04:48,600 Speaker 3: copper or or copper concentrate, and then refining the material 91 00:04:48,640 --> 00:04:51,440 Speaker 3: into a useful form is mostly done in China. So 92 00:04:51,560 --> 00:04:56,160 Speaker 3: China actually is responsible for about forty percent of refined copper, 93 00:04:56,360 --> 00:04:59,320 Speaker 3: and then the rest comes from South America, the US, 94 00:04:59,520 --> 00:05:01,200 Speaker 3: Australia and the DRC. 95 00:05:01,720 --> 00:05:04,760 Speaker 1: So let me just make sure I've understood you correctly 96 00:05:04,800 --> 00:05:08,320 Speaker 1: here it sounds like a lot of the copper refining 97 00:05:08,400 --> 00:05:13,120 Speaker 1: is happening in China and then everywhere else it's happening where. 98 00:05:12,880 --> 00:05:15,160 Speaker 2: The minerals are being pulled out of the ground. Roughly. 99 00:05:15,440 --> 00:05:18,360 Speaker 1: Yeah, and you might have already said this is China 100 00:05:18,440 --> 00:05:20,600 Speaker 1: got its own source of copper minerals or is that 101 00:05:20,640 --> 00:05:21,920 Speaker 1: something that is lacking. 102 00:05:22,240 --> 00:05:25,400 Speaker 3: China's got its own source, but it does import those 103 00:05:25,440 --> 00:05:28,279 Speaker 3: copper concentrates from these regions for refining. 104 00:05:28,640 --> 00:05:31,320 Speaker 1: So I suppose what's interesting is when I think about it, 105 00:05:31,360 --> 00:05:34,760 Speaker 1: the countries or regions that are missing from that list. 106 00:05:34,920 --> 00:05:38,280 Speaker 1: You know, the United States has big plans around data centers. 107 00:05:38,600 --> 00:05:41,760 Speaker 1: They are neither a producer or a refiner of copper 108 00:05:42,160 --> 00:05:43,000 Speaker 1: in a big way. 109 00:05:43,279 --> 00:05:46,599 Speaker 3: No, So they are actually a producer and refiner. They 110 00:05:46,680 --> 00:05:50,159 Speaker 3: just don't have sufficient domestic supplies to keep up with 111 00:05:50,279 --> 00:05:52,720 Speaker 3: the domestic demand at this point in time. 112 00:05:53,000 --> 00:05:53,320 Speaker 2: Got it? 113 00:05:53,600 --> 00:05:55,800 Speaker 1: So in your research on this, I think one of 114 00:05:55,800 --> 00:05:58,680 Speaker 1: the things that came up is that copper minds have 115 00:05:58,839 --> 00:06:03,239 Speaker 1: been shutting down, which naively doesn't make any sense given 116 00:06:03,279 --> 00:06:03,920 Speaker 1: what we're saying. 117 00:06:04,040 --> 00:06:05,840 Speaker 2: So what's the story with that? 118 00:06:06,400 --> 00:06:09,840 Speaker 3: So it's a two pronged story. So we have one 119 00:06:09,960 --> 00:06:13,440 Speaker 3: issue from an economic standpoint. Currently, a lot of like 120 00:06:13,520 --> 00:06:17,040 Speaker 3: the good copper, high grade oxide copper has been mined 121 00:06:17,040 --> 00:06:19,800 Speaker 3: out quite extensively and we're left with the more lower 122 00:06:19,839 --> 00:06:20,919 Speaker 3: grade material. 123 00:06:21,120 --> 00:06:23,280 Speaker 1: This is a new concept to me, good copper and 124 00:06:23,320 --> 00:06:25,719 Speaker 1: bad copper. Can you just talk through what good copper 125 00:06:25,760 --> 00:06:26,640 Speaker 1: and bad copper is? 126 00:06:27,480 --> 00:06:31,360 Speaker 3: So good copper is basically a material that comes from 127 00:06:31,400 --> 00:06:35,119 Speaker 3: what we call oxide ore or oxide that's mined out, 128 00:06:35,400 --> 00:06:39,320 Speaker 3: and those are higher grade material, whereas bad copper are 129 00:06:39,360 --> 00:06:42,520 Speaker 3: your lower grade materials. So high grade stuff is easy 130 00:06:42,560 --> 00:06:45,880 Speaker 3: to process, to refine, to move through the system, whereas 131 00:06:45,920 --> 00:06:48,800 Speaker 3: your lower grade material it's harder to mine. One you 132 00:06:48,880 --> 00:06:51,279 Speaker 3: have to remove more waste to get to the ore, 133 00:06:51,440 --> 00:06:53,760 Speaker 3: and then it's harder to refine because you have all 134 00:06:53,800 --> 00:06:57,560 Speaker 3: this what they call deleterious material or gang waste that 135 00:06:57,640 --> 00:06:59,560 Speaker 3: you need to remove so it can go through the 136 00:06:59,600 --> 00:07:04,160 Speaker 3: same finding process, and that makes for higher operational costs. 137 00:07:04,200 --> 00:07:07,000 Speaker 3: So most of what we're finding out is the bad copper. 138 00:07:07,320 --> 00:07:09,720 Speaker 1: Just to make sure I've understood this correctly, the end 139 00:07:09,760 --> 00:07:12,880 Speaker 1: product is the same in terms of quality. It's just 140 00:07:13,360 --> 00:07:15,200 Speaker 1: I suppose you could say good copper is the low 141 00:07:15,240 --> 00:07:17,680 Speaker 1: hanging fruit and bad copper is a high hanging fruit, 142 00:07:17,720 --> 00:07:20,400 Speaker 1: and most of the low hanging fruit has already been picked. 143 00:07:20,520 --> 00:07:23,320 Speaker 3: Yes exactly. That's that's a great way to put it 144 00:07:23,320 --> 00:07:25,520 Speaker 3: for the listeners. And because of that, you have to 145 00:07:25,520 --> 00:07:27,880 Speaker 3: climb higher up the tree, right, That takes a lot 146 00:07:27,920 --> 00:07:31,640 Speaker 3: more material, And because of the operational costs are going up, 147 00:07:32,080 --> 00:07:35,640 Speaker 3: minds are kind of moving away from these operations with 148 00:07:35,800 --> 00:07:38,640 Speaker 3: economics just don't make sense. And then the second issue 149 00:07:38,840 --> 00:07:43,280 Speaker 3: on top of that is ESG. So from an ESG perspective. 150 00:07:43,560 --> 00:07:45,840 Speaker 3: In South America, a lot of the issues that minds 151 00:07:45,880 --> 00:07:49,040 Speaker 3: have been facing is water scarcity. And even though the 152 00:07:49,080 --> 00:07:51,920 Speaker 3: companies like bhp I've come up with solutions like using 153 00:07:52,000 --> 00:07:55,640 Speaker 3: desalination to fill that gap of water scarcity, it's just 154 00:07:55,680 --> 00:08:00,240 Speaker 3: not being enough. Desalinating seawater is very expensive, so that's 155 00:08:00,240 --> 00:08:04,640 Speaker 3: why we've seen BHPS Cero Colorado mine in Chilling twenty 156 00:08:04,640 --> 00:08:07,280 Speaker 3: twenty three shutdown because it was just too expensive to 157 00:08:07,360 --> 00:08:10,600 Speaker 3: d salnate. And then we also saw in Panama It's 158 00:08:10,720 --> 00:08:15,040 Speaker 3: Cobra Panama mine closed down because of these environmental issues 159 00:08:15,040 --> 00:08:18,040 Speaker 3: and protests, and this trend is quite pervasive. You see 160 00:08:18,040 --> 00:08:20,880 Speaker 3: it in the US right now. There's a copper project 161 00:08:20,960 --> 00:08:24,080 Speaker 3: that has been in process for twenty years now, but 162 00:08:24,160 --> 00:08:27,680 Speaker 3: because the communities are not comfortable with the fact that, 163 00:08:27,800 --> 00:08:30,880 Speaker 3: you know, these minds have put together strategies to protect 164 00:08:30,920 --> 00:08:33,360 Speaker 3: the environment, to protect them at the end of the day, 165 00:08:33,559 --> 00:08:36,240 Speaker 3: it has led to this long lead time of getting 166 00:08:36,240 --> 00:08:37,400 Speaker 3: that mine operational. 167 00:08:37,800 --> 00:08:41,559 Speaker 1: It almost feels like we're in a moment of transition 168 00:08:42,040 --> 00:08:45,080 Speaker 1: in the copper world, because you know, if the good copper, 169 00:08:45,400 --> 00:08:48,200 Speaker 1: that low hanging fruit has mainly been plucked and you know, 170 00:08:48,200 --> 00:08:50,640 Speaker 1: we mentioned prices going up for copper, but the price 171 00:08:50,720 --> 00:08:54,760 Speaker 1: is currently on enough to really make doing bad copper well, 172 00:08:54,880 --> 00:08:58,080 Speaker 1: including you know, keeping local communities happy, complying with the 173 00:08:58,200 --> 00:09:02,240 Speaker 1: SG you know whatever waters by limitations that there's still 174 00:09:02,520 --> 00:09:04,720 Speaker 1: more upward pressure on prices to come because it's just 175 00:09:04,760 --> 00:09:08,280 Speaker 1: going to be more expensive to produce in the future. 176 00:09:08,520 --> 00:09:10,800 Speaker 2: Let's alone the scarcity exactly. 177 00:09:11,080 --> 00:09:15,400 Speaker 3: So on Bloomberg Terminal's or commodity price forecasts, we see 178 00:09:15,440 --> 00:09:19,560 Speaker 3: copper price forecasts going up to about twelve thousand and 179 00:09:19,640 --> 00:09:23,959 Speaker 3: some and the speculate highs about thirteen five hundred because 180 00:09:24,000 --> 00:09:28,120 Speaker 3: of this constraint, this structural constraint that's coming in terms 181 00:09:28,160 --> 00:09:31,520 Speaker 3: of a lack of supply coming online. High prices just 182 00:09:31,640 --> 00:09:37,080 Speaker 3: makes efficiency gains more accessible. For example, we had there's 183 00:09:37,120 --> 00:09:39,920 Speaker 3: a company called Jetty and then there's a company called 184 00:09:40,000 --> 00:09:43,720 Speaker 3: Rio Tinto. We're trying to leach waste heaps just to 185 00:09:43,760 --> 00:09:48,120 Speaker 3: get additional incremental supply online. But that, unfortunately is not 186 00:09:48,160 --> 00:09:51,240 Speaker 3: a silver bullet in terms of dealing with this deficit 187 00:09:51,280 --> 00:09:51,720 Speaker 3: in supply. 188 00:09:52,160 --> 00:09:54,679 Speaker 1: It's so interesting hearing all of this, and we're going 189 00:09:54,679 --> 00:09:56,480 Speaker 1: to get onto data centers in a moment. But this 190 00:09:56,600 --> 00:09:59,760 Speaker 1: framing is so interesting because I think that, you know, 191 00:10:00,040 --> 00:10:02,880 Speaker 1: as a child growing up, when people were first starting 192 00:10:02,880 --> 00:10:05,560 Speaker 1: to talk about climate change in school and you know, 193 00:10:05,600 --> 00:10:07,680 Speaker 1: the burning of fossil fuels, the other thing they would 194 00:10:07,720 --> 00:10:09,720 Speaker 1: say is, oh, and of course the fossil fuels are 195 00:10:09,720 --> 00:10:12,200 Speaker 1: going to run out eventually, you know, during your lifetime. 196 00:10:12,240 --> 00:10:15,240 Speaker 1: And you know, I'm forty four now and there's no 197 00:10:15,360 --> 00:10:18,080 Speaker 1: sign of the fossil fuels running out. But I always wondered, 198 00:10:18,200 --> 00:10:20,360 Speaker 1: you know, what does that look like? But it almost 199 00:10:20,400 --> 00:10:23,480 Speaker 1: seems like actually we're seeing what that looks like in 200 00:10:23,600 --> 00:10:27,040 Speaker 1: terms of copper, which maybe is just as essential a 201 00:10:27,120 --> 00:10:31,680 Speaker 1: material as to modern society as fossil fuels have been. 202 00:10:31,880 --> 00:10:35,480 Speaker 1: And it really seems like there's a reckoning going to happen, yeah, 203 00:10:35,520 --> 00:10:38,360 Speaker 1: because there's just simply not going to be enough, and 204 00:10:38,400 --> 00:10:41,080 Speaker 1: there's it sounds like there's no getting around that. 205 00:10:41,800 --> 00:10:43,960 Speaker 3: So right now, so if we look at what supply 206 00:10:44,120 --> 00:10:46,679 Speaker 3: looks like at this point in time, it comes from 207 00:10:46,760 --> 00:10:49,920 Speaker 3: a few sources, right so, mind or supply, it comes 208 00:10:49,920 --> 00:10:52,559 Speaker 3: from the circular economy in terms of scrap and then 209 00:10:52,600 --> 00:10:56,000 Speaker 3: obviously these incremental gains that we're trying to get by 210 00:10:56,240 --> 00:11:00,280 Speaker 3: making processing more efficient to extend mind lives. We go 211 00:11:00,360 --> 00:11:03,280 Speaker 3: back to fundamentals from a mind perspective. If we look 212 00:11:03,280 --> 00:11:08,360 Speaker 3: at the geology globally, there are sufficient reserves to close 213 00:11:08,400 --> 00:11:13,120 Speaker 3: this gap, but the issue is exploration. To ascertain which 214 00:11:13,200 --> 00:11:16,439 Speaker 3: reserves are great, which reserves or medium, and which reserves 215 00:11:16,440 --> 00:11:20,000 Speaker 3: are the bad coppers and more economically challenged takes time. 216 00:11:20,280 --> 00:11:23,640 Speaker 3: It takes a lot of KPEX, So exploration KPEX can 217 00:11:23,640 --> 00:11:26,920 Speaker 3: be about like sixty percent of a mind's budget in 218 00:11:26,960 --> 00:11:29,360 Speaker 3: some years, and that's a lot of money for minds 219 00:11:29,400 --> 00:11:33,080 Speaker 3: to invest in these The fact is, yes, it's a reckoning, 220 00:11:33,160 --> 00:11:36,080 Speaker 3: but a reckoning that can be solved if we become 221 00:11:36,120 --> 00:11:40,280 Speaker 3: more aggressive about exploration mining and also try and find 222 00:11:40,280 --> 00:11:44,120 Speaker 3: ways to work around externalities that are currently challenging getting 223 00:11:44,120 --> 00:11:47,120 Speaker 3: these minds from exploration to first poor and some of 224 00:11:47,160 --> 00:11:52,199 Speaker 3: these externalities outside of ESG can also be permitting from governments. 225 00:11:52,520 --> 00:11:56,599 Speaker 3: We need to have more seamless permitting for various licenses 226 00:11:56,679 --> 00:11:58,600 Speaker 3: for these minds to come in. Tract the fact that 227 00:11:58,679 --> 00:12:01,640 Speaker 3: copper minds from x operation to first port take about 228 00:12:01,679 --> 00:12:04,760 Speaker 3: seven to ten years. It's too long. We already seeing 229 00:12:04,800 --> 00:12:07,240 Speaker 3: today that there's a little bit of a rumble in 230 00:12:07,240 --> 00:12:08,679 Speaker 3: the jungle, already. 231 00:12:08,679 --> 00:12:11,200 Speaker 1: That's so interesting, and from what you're saying, it seems 232 00:12:11,240 --> 00:12:15,240 Speaker 1: like the real issue here is not the fundamental scarcity 233 00:12:15,360 --> 00:12:19,320 Speaker 1: of copper. It's that we've all collectively as a global 234 00:12:19,360 --> 00:12:22,360 Speaker 1: economy maybe caught off guard by the change of pace 235 00:12:22,520 --> 00:12:25,520 Speaker 1: in demand, you know, for the energy transition, and then 236 00:12:25,559 --> 00:12:28,320 Speaker 1: now data centers ramping it up even more. Whereas, like 237 00:12:28,440 --> 00:12:30,800 Speaker 1: you know, copper supply was just this kind of thing 238 00:12:30,840 --> 00:12:33,240 Speaker 1: maybe bumbling along at its own pace, and that was 239 00:12:33,280 --> 00:12:37,920 Speaker 1: fine for everyone. Suddenly this increase in urgency means that 240 00:12:38,000 --> 00:12:39,760 Speaker 1: these are issues like permitting delays. 241 00:12:40,000 --> 00:12:40,600 Speaker 2: And it's so funny. 242 00:12:40,600 --> 00:12:42,240 Speaker 1: I mean, when we're talking about building the grid or 243 00:12:42,240 --> 00:12:43,839 Speaker 1: building renewables, permitting. 244 00:12:43,440 --> 00:12:46,320 Speaker 2: Delays, it's the same thing. It just crops up everywhere. 245 00:12:46,320 --> 00:12:49,400 Speaker 1: When we talk about this is you know, the energy transition, 246 00:12:49,640 --> 00:12:52,400 Speaker 1: build out of data centers. It's all about something that 247 00:12:52,480 --> 00:12:55,440 Speaker 1: is changing rapidly at a large infrastructure scale, and we 248 00:12:55,440 --> 00:12:57,320 Speaker 1: don't we're not set up well to do that at 249 00:12:57,360 --> 00:12:59,760 Speaker 1: the moment because maybe for most of our lifetimes the 250 00:12:59,760 --> 00:13:02,920 Speaker 1: world has been in a state of kind of gradual transition. 251 00:13:03,400 --> 00:13:05,120 Speaker 2: Yeah, in relative terms. 252 00:13:05,000 --> 00:13:08,480 Speaker 3: I think with the advent of the energy transition particularly, 253 00:13:08,800 --> 00:13:11,440 Speaker 3: I think it caught people of god, a lot of people. 254 00:13:11,720 --> 00:13:14,800 Speaker 3: We were anticipating it to an extent, but when it happened, 255 00:13:14,800 --> 00:13:18,280 Speaker 3: it happened very quickly, and just that added demand is 256 00:13:18,280 --> 00:13:22,040 Speaker 3: what kind of shocked the initial supplied demand balance. Now 257 00:13:22,080 --> 00:13:24,960 Speaker 3: you have data centers wanting this material, and now the 258 00:13:25,080 --> 00:13:28,199 Speaker 3: US are thinking about, you know, military spending because it's 259 00:13:28,200 --> 00:13:31,240 Speaker 3: spent so much. Copper is like the second top two 260 00:13:31,360 --> 00:13:34,480 Speaker 3: material that it uses. So if you keep adding more 261 00:13:34,520 --> 00:13:39,000 Speaker 3: demand layers with the supply pipeline that is so weak 262 00:13:39,160 --> 00:13:42,240 Speaker 3: and fragile already, Yeah, it's definitely in a course some 263 00:13:42,400 --> 00:13:45,480 Speaker 3: form of reckoning or shock in the market at some point. 264 00:13:46,080 --> 00:13:48,760 Speaker 1: So let's get to talking about copper as it relates 265 00:13:48,800 --> 00:13:51,360 Speaker 1: to data centers, because that is the sort of, I suppose, 266 00:13:51,360 --> 00:13:55,320 Speaker 1: the thing that's the newest in this story of copper, 267 00:13:55,360 --> 00:13:57,920 Speaker 1: the unlikely hero that has sort of risen to the fore. 268 00:13:58,200 --> 00:14:00,520 Speaker 2: How integral is copper to the building of data centers. 269 00:14:01,080 --> 00:14:04,800 Speaker 3: It is quite essential. So you can find copper everywhere 270 00:14:04,960 --> 00:14:09,040 Speaker 3: from like your graphic processing units to your servers, to 271 00:14:09,080 --> 00:14:12,400 Speaker 3: your electrical systems. Within the data centers, you find them 272 00:14:12,520 --> 00:14:14,839 Speaker 3: in the cooling systems, find them in the lights, in 273 00:14:14,880 --> 00:14:18,600 Speaker 3: the ceiling, you find them in redundancy systems that a 274 00:14:18,600 --> 00:14:22,000 Speaker 3: lot of hyperscalers use to guarantee the uptime at the 275 00:14:22,080 --> 00:14:22,640 Speaker 3: end of the day. 276 00:14:22,760 --> 00:14:23,600 Speaker 2: So, just like. 277 00:14:23,720 --> 00:14:26,680 Speaker 3: Blood is important for the circular tree system of the body, 278 00:14:26,840 --> 00:14:30,760 Speaker 3: That's how I view copper. Copper carries like blood carries oxygen, 279 00:14:30,800 --> 00:14:35,479 Speaker 3: which is power and electricity to these integral components and infrastructure. 280 00:14:35,760 --> 00:14:37,480 Speaker 1: And so you know, there's a bit of a note 281 00:14:37,480 --> 00:14:39,600 Speaker 1: here about that. You know, we talk a lot about 282 00:14:39,600 --> 00:14:42,080 Speaker 1: the different types of data centers. I mean, do you 283 00:14:42,120 --> 00:14:44,160 Speaker 1: see that? Is it from a copper point of view? 284 00:14:44,160 --> 00:14:47,520 Speaker 1: All data centers are created the same and AI is 285 00:14:47,600 --> 00:14:50,320 Speaker 1: just more data centers. There is there anything specific about 286 00:14:50,360 --> 00:14:54,200 Speaker 1: some of these applications that impact the necessity around copper. 287 00:14:54,480 --> 00:14:59,479 Speaker 3: So not all data centers use copper in the same intensity, 288 00:14:59,520 --> 00:15:02,120 Speaker 3: if I can say, or at the same rate. So 289 00:15:02,200 --> 00:15:05,560 Speaker 3: if we look at AI in terms of training and inference, 290 00:15:05,600 --> 00:15:07,960 Speaker 3: and I guess the podcast you did with Natalie and 291 00:15:08,040 --> 00:15:10,400 Speaker 3: Helen gave us a great overview in terms of what 292 00:15:10,480 --> 00:15:13,680 Speaker 3: these two workload types are. So in terms of training 293 00:15:14,400 --> 00:15:17,360 Speaker 3: workloads themselves, they're very dense. And what I mean by 294 00:15:17,400 --> 00:15:21,840 Speaker 3: densities that they require a lot more copper but megawatts 295 00:15:21,920 --> 00:15:26,440 Speaker 3: than your inference data centers would, so that basically means 296 00:15:26,480 --> 00:15:29,720 Speaker 3: that you would require copper, more copper in your cooling, 297 00:15:29,880 --> 00:15:34,680 Speaker 3: in your electrical systems, in your GPUs graphical processing units 298 00:15:34,840 --> 00:15:38,320 Speaker 3: within a training data center. Inference, on the other hand, 299 00:15:38,600 --> 00:15:42,400 Speaker 3: is more decentralized, it's more widespread. It doesn't use the 300 00:15:42,520 --> 00:15:45,120 Speaker 3: type of GPUs or the number of GPUs that a 301 00:15:45,200 --> 00:15:48,560 Speaker 3: training center would use, so it's less specialized compared to 302 00:15:48,760 --> 00:15:52,720 Speaker 3: a training data center. Hence it uses less copper per 303 00:15:52,760 --> 00:15:57,160 Speaker 3: square meter. But because inference is so widespread because of 304 00:15:57,240 --> 00:16:01,320 Speaker 3: latency requirements, that all adds up right, So it's both 305 00:16:01,360 --> 00:16:03,640 Speaker 3: of them are quite important at the end of the day. 306 00:16:03,760 --> 00:16:06,120 Speaker 3: And on top of that, you have things like crypto 307 00:16:06,440 --> 00:16:09,520 Speaker 3: cloud based data centers that come into that mix to 308 00:16:09,680 --> 00:16:13,240 Speaker 3: actually build this copper demand over the next decade. 309 00:16:13,640 --> 00:16:15,960 Speaker 1: So, I mean, the question I have that I think 310 00:16:16,000 --> 00:16:18,400 Speaker 1: when I think about all of this is I remember 311 00:16:18,600 --> 00:16:22,040 Speaker 1: at school in science class when we were learning about 312 00:16:22,080 --> 00:16:25,520 Speaker 1: electricity and we were learning about conductors and resistance, and 313 00:16:25,560 --> 00:16:27,640 Speaker 1: the teacher was explaining, how, you know, all of our 314 00:16:27,680 --> 00:16:31,080 Speaker 1: wires are made from copper because it's got such low resistance, 315 00:16:31,360 --> 00:16:33,760 Speaker 1: And I remember saying, you know, one metal that is 316 00:16:33,800 --> 00:16:36,920 Speaker 1: even better at being copper than copper is silver, But 317 00:16:37,000 --> 00:16:40,000 Speaker 1: we would never do it because it's just so ridiculously expensive. 318 00:16:39,520 --> 00:16:40,960 Speaker 2: To have silver wires everywhere. 319 00:16:41,040 --> 00:16:42,760 Speaker 1: So my question is not like, are we going to 320 00:16:42,800 --> 00:16:44,440 Speaker 1: it's copper going to get so expensive that we're going 321 00:16:44,480 --> 00:16:46,880 Speaker 1: to start using silver in our data centers. It's more 322 00:16:47,240 --> 00:16:51,080 Speaker 1: what alternatives exist in all of these different applications, both 323 00:16:51,080 --> 00:16:53,640 Speaker 1: in data centers and outside of data centers. 324 00:16:53,880 --> 00:16:56,560 Speaker 2: I mean, I've listed one silver that doesn't seem. 325 00:16:56,400 --> 00:16:59,000 Speaker 1: Very realistic, but are there are there any sort of 326 00:16:59,040 --> 00:17:00,400 Speaker 1: realistical turn tips? 327 00:17:00,960 --> 00:17:05,159 Speaker 3: So they are definitely fiber optics and aluminum, as the 328 00:17:05,200 --> 00:17:09,800 Speaker 3: Americans say, are definite options for substituting copper and data centers. 329 00:17:10,000 --> 00:17:13,840 Speaker 3: The catch here is, though, that aluminum only has sixty 330 00:17:13,880 --> 00:17:17,480 Speaker 3: percent of the conductivity that copper has. And because these 331 00:17:17,560 --> 00:17:21,160 Speaker 3: data center operators have the cash flow, they have the kpex, 332 00:17:21,560 --> 00:17:24,760 Speaker 3: why would I substitute when I can afford copper. So 333 00:17:24,920 --> 00:17:28,119 Speaker 3: usually the rule of Thumb and industry is if the 334 00:17:28,119 --> 00:17:31,200 Speaker 3: copper price is three point eight times to four times 335 00:17:31,200 --> 00:17:34,879 Speaker 3: the price of aluminium, then we can consider substitution. But 336 00:17:35,400 --> 00:17:39,200 Speaker 3: because of things like the uptime requirements for these data centers, 337 00:17:39,400 --> 00:17:42,280 Speaker 3: you can't add any type of material that would risk that. 338 00:17:42,480 --> 00:17:45,119 Speaker 3: So when it comes to critical components in the data center, 339 00:17:45,200 --> 00:17:48,800 Speaker 3: like you're cooling your IT hardware, it's copper all the way. 340 00:17:48,960 --> 00:17:53,240 Speaker 3: When it comes to external things like security, parking within 341 00:17:53,320 --> 00:17:57,240 Speaker 3: and around the data center, non critical components, that's when 342 00:17:57,280 --> 00:18:00,960 Speaker 3: they could look at using aluminium. Optics in itself has 343 00:18:01,000 --> 00:18:04,920 Speaker 3: already been used for networking, so copper is only used 344 00:18:04,960 --> 00:18:07,680 Speaker 3: in like the first one hundred meter run, and then 345 00:18:07,720 --> 00:18:11,719 Speaker 3: the risk is fiber throughout the facility. So that's basically 346 00:18:11,800 --> 00:18:14,640 Speaker 3: the where you see substitution come in. But it's critical 347 00:18:14,680 --> 00:18:18,119 Speaker 3: to note that without copper in our critical components, you 348 00:18:18,200 --> 00:18:21,480 Speaker 3: can't maintain that ninety nine point nine nine nine time 349 00:18:21,520 --> 00:18:22,440 Speaker 3: at the end of the day. 350 00:18:22,600 --> 00:18:22,960 Speaker 2: Got it. 351 00:18:23,160 --> 00:18:25,000 Speaker 1: So what I'm hearing is there's a little bit of 352 00:18:25,040 --> 00:18:28,840 Speaker 1: substitution in the data center applications, but ultimately the companies 353 00:18:29,080 --> 00:18:31,960 Speaker 1: building data centers, they have the money to pay for 354 00:18:32,040 --> 00:18:34,119 Speaker 1: more expensive copper, so they're not going to be the 355 00:18:34,119 --> 00:18:38,520 Speaker 1: ones to either substitute it out completely or to not 356 00:18:38,640 --> 00:18:43,439 Speaker 1: build their thing, so they're going to be displacing someone 357 00:18:43,440 --> 00:18:47,520 Speaker 1: else's copper applications. So I suppose what is the maybe 358 00:18:47,560 --> 00:18:50,560 Speaker 1: the marginal application. Who loses out if data centers come 359 00:18:50,600 --> 00:18:53,199 Speaker 1: and hoover up a bunch of copper supply? What is 360 00:18:53,200 --> 00:18:56,119 Speaker 1: the thing that doesn't get built or becomes unviable or 361 00:18:56,160 --> 00:18:57,200 Speaker 1: has to substitute. 362 00:18:57,520 --> 00:19:00,960 Speaker 3: That's an interesting question because I guess when we looked 363 00:19:01,000 --> 00:19:05,040 Speaker 3: at those sectors before, like your traditional and energy transition sectors, 364 00:19:05,119 --> 00:19:08,399 Speaker 3: those are data centers competitors. Now, when it comes to 365 00:19:08,440 --> 00:19:11,679 Speaker 3: looking at the scale of kpex or just money that 366 00:19:11,800 --> 00:19:15,600 Speaker 3: data center builders and operators are throwing at this infrastructure, 367 00:19:15,720 --> 00:19:19,520 Speaker 3: the question really turns around to who has off take, 368 00:19:19,800 --> 00:19:24,320 Speaker 3: Who has long term supply chain security with these fabricators 369 00:19:24,320 --> 00:19:28,520 Speaker 3: that make these components, Who has those established relationships. So 370 00:19:28,840 --> 00:19:30,879 Speaker 3: I think the story should be not so much that 371 00:19:30,960 --> 00:19:35,080 Speaker 3: there's competition, but a bit of a refocus on who 372 00:19:35,320 --> 00:19:39,240 Speaker 3: is setting themselves up, given that we've given these indications 373 00:19:39,240 --> 00:19:41,720 Speaker 3: that this is coming. Who's setting themselves up for long 374 00:19:41,800 --> 00:19:45,240 Speaker 3: term success, Who's securing their supply chain to ensure that 375 00:19:45,320 --> 00:19:47,000 Speaker 3: they have a piece of the pie. 376 00:19:47,400 --> 00:19:51,280 Speaker 1: Kind of feels like the organizations that have kind of 377 00:19:51,320 --> 00:19:53,520 Speaker 1: done their homework and set it kind of reminds me 378 00:19:53,560 --> 00:19:56,639 Speaker 1: of you know, when you're at university and there's always 379 00:19:56,640 --> 00:19:58,879 Speaker 1: that person who books the one book out of the 380 00:19:58,920 --> 00:20:01,800 Speaker 1: library that everyone is going to need for this week's assignment. 381 00:20:01,880 --> 00:20:04,760 Speaker 1: This week's assignment is having copper, and someone has booked 382 00:20:04,800 --> 00:20:07,440 Speaker 1: that book out the library. We can't not talk about 383 00:20:07,480 --> 00:20:09,560 Speaker 1: the US in all of this because it's kind of 384 00:20:09,560 --> 00:20:11,800 Speaker 1: fifty percent of the world's data centers. Are there a 385 00:20:11,880 --> 00:20:14,800 Speaker 1: huge amount of the growth in data centers expected there. 386 00:20:14,800 --> 00:20:18,479 Speaker 1: And we mentioned earlier that the domestic supply of copper 387 00:20:18,480 --> 00:20:21,840 Speaker 1: in the US is not sufficient to meet US demands. 388 00:20:21,960 --> 00:20:23,199 Speaker 2: So what are they going to do? 389 00:20:23,480 --> 00:20:26,600 Speaker 3: In twenty twenty four, they consumed about one point six 390 00:20:26,640 --> 00:20:30,400 Speaker 3: million times right domestically, they produce about half of that 391 00:20:30,600 --> 00:20:34,200 Speaker 3: for their applications for their demand, and then they import 392 00:20:34,359 --> 00:20:37,600 Speaker 3: from China and the rest. So the narrative goes back 393 00:20:37,640 --> 00:20:41,600 Speaker 3: to how they strategize one, build more minds. But in 394 00:20:41,640 --> 00:20:44,200 Speaker 3: the US the minds are also a lot of great 395 00:20:44,280 --> 00:20:48,840 Speaker 3: quality two decision making around tariffs with specific countries, so 396 00:20:48,880 --> 00:20:52,080 Speaker 3: they have to be very strategic about what they tariff 397 00:20:52,080 --> 00:20:54,919 Speaker 3: and what they don't. For example, in China, there's a 398 00:20:54,960 --> 00:20:58,720 Speaker 3: stalemate in terms of tariffs that have been paused because 399 00:20:58,760 --> 00:21:02,000 Speaker 3: the US needs some of the refined material that only 400 00:21:02,080 --> 00:21:04,919 Speaker 3: China produces and hence they've kind of stopped that and 401 00:21:04,960 --> 00:21:07,160 Speaker 3: we're waiting for the end of this month to kind 402 00:21:07,200 --> 00:21:10,040 Speaker 3: of see what's going to happen, what conversation is going 403 00:21:10,119 --> 00:21:13,480 Speaker 3: to open from their other countries that they could form 404 00:21:13,600 --> 00:21:17,919 Speaker 3: better relationships with Peru, Chile and then the DRC. But 405 00:21:18,119 --> 00:21:20,959 Speaker 3: that in itself there's a lot it can do, but 406 00:21:21,000 --> 00:21:23,679 Speaker 3: it's also the way it does it in terms of 407 00:21:23,760 --> 00:21:27,600 Speaker 3: trade relations to secure their own domestic supply and hence 408 00:21:27,600 --> 00:21:29,280 Speaker 3: the buildout of these data centers. 409 00:21:29,400 --> 00:21:32,840 Speaker 1: So there's a little bit of nuanced strategy required with 410 00:21:33,000 --> 00:21:37,080 Speaker 1: certain key players. And yeah, we'll have to see whether 411 00:21:37,320 --> 00:21:40,760 Speaker 1: the US can dance that dance effectively, because you know, 412 00:21:41,040 --> 00:21:42,760 Speaker 1: I mean, I suppose in all of this as well, 413 00:21:42,920 --> 00:21:45,080 Speaker 1: we're saying copper it sounds like it's in the top 414 00:21:45,160 --> 00:21:48,479 Speaker 1: tier of strategic materials, but it's not the only thing 415 00:21:48,560 --> 00:21:51,520 Speaker 1: in the top tier, and it's probably I guess what 416 00:21:51,520 --> 00:21:54,159 Speaker 1: you're describing is not as simple as it sounds, you know, 417 00:21:54,320 --> 00:21:56,119 Speaker 1: just being friends with who you need to be friends with. 418 00:21:57,240 --> 00:22:01,520 Speaker 1: So given the high demand for copper and in certain countries, 419 00:22:01,560 --> 00:22:05,040 Speaker 1: including the US specifically, there's going to be a bit 420 00:22:05,080 --> 00:22:08,840 Speaker 1: of a gap. What kind of actions and changes to regulations. 421 00:22:08,920 --> 00:22:10,840 Speaker 1: Could you see them taking to address that? 422 00:22:11,400 --> 00:22:15,800 Speaker 3: So I think just harboring on the US narrative in 423 00:22:15,840 --> 00:22:19,919 Speaker 3: itself when we go back to you ESG issues. So 424 00:22:20,000 --> 00:22:23,600 Speaker 3: let's take out tariffs, let's take out their lack of supply. 425 00:22:24,000 --> 00:22:26,640 Speaker 3: I think one of the key issues that they might 426 00:22:26,720 --> 00:22:29,720 Speaker 3: be able to start off with one. They've now added 427 00:22:29,960 --> 00:22:33,399 Speaker 3: copper as a critical mineral or it's in proposal stage, 428 00:22:33,400 --> 00:22:34,439 Speaker 3: which is great. 429 00:22:34,760 --> 00:22:38,080 Speaker 1: I just clarify because when you say they've been classified 430 00:22:38,080 --> 00:22:40,800 Speaker 1: as a critical mineral is I always thought that when 431 00:22:40,840 --> 00:22:42,879 Speaker 1: we say something's a critical mineral, that was just like 432 00:22:43,040 --> 00:22:46,080 Speaker 1: it was no more than a label reflecting our opinion 433 00:22:46,160 --> 00:22:48,879 Speaker 1: that it is critical. And I think I might be 434 00:22:48,960 --> 00:22:51,919 Speaker 1: learning something new here is critical mineral and official designation 435 00:22:52,080 --> 00:22:54,199 Speaker 1: in the US. 436 00:22:53,920 --> 00:22:57,000 Speaker 3: Not just the US. It's a term that has slowly 437 00:22:57,680 --> 00:23:01,879 Speaker 3: been developed for US as an industry to understand that 438 00:23:01,960 --> 00:23:05,840 Speaker 3: criticality means something that a region or a country may 439 00:23:06,000 --> 00:23:09,960 Speaker 3: have lack of and need to focus resources on to 440 00:23:10,320 --> 00:23:13,719 Speaker 3: close that gap, to not be behind at the end 441 00:23:13,720 --> 00:23:15,919 Speaker 3: of the day, to rather build up surplus of it. 442 00:23:16,080 --> 00:23:19,440 Speaker 3: So as soon as you see critical criticality means there's 443 00:23:19,440 --> 00:23:22,080 Speaker 3: a little bit of trouble we need these minerals to 444 00:23:22,359 --> 00:23:24,720 Speaker 3: grow our economy, we need these minerals to grow out 445 00:23:24,720 --> 00:23:27,520 Speaker 3: our industry, and if we might not have enough of 446 00:23:27,560 --> 00:23:28,800 Speaker 3: those on those lists. 447 00:23:29,880 --> 00:23:33,480 Speaker 1: So the EU in questions around raw materials that EU 448 00:23:33,640 --> 00:23:37,160 Speaker 1: is typically not a supplier but a source of demand. 449 00:23:37,440 --> 00:23:40,480 Speaker 1: How do they play in this world where copper is 450 00:23:40,480 --> 00:23:43,560 Speaker 1: in short supply but is incredibly important for the future. 451 00:23:43,960 --> 00:23:46,800 Speaker 3: So the EU in itself has also come up with 452 00:23:46,840 --> 00:23:50,640 Speaker 3: its own critical mineral strategy, and one key point around 453 00:23:50,720 --> 00:23:55,120 Speaker 3: that is recycling or the circular economy. So they've put 454 00:23:55,119 --> 00:23:58,919 Speaker 3: a lot of effort in backing projects several projects that 455 00:23:59,119 --> 00:24:03,600 Speaker 3: now focus on recycling. They very consciously do follow like 456 00:24:03,760 --> 00:24:07,879 Speaker 3: fabricated scrap to ensure they understand where it's coming from, 457 00:24:08,000 --> 00:24:11,800 Speaker 3: where it's going within their region. They also focused on 458 00:24:12,200 --> 00:24:15,520 Speaker 3: limiting exports of scrap out so that they themselves can 459 00:24:15,720 --> 00:24:19,160 Speaker 3: use it, which helps with them maintaining their own inventories. 460 00:24:19,440 --> 00:24:23,280 Speaker 3: So while there are initiatives that the EU is taking 461 00:24:23,440 --> 00:24:26,640 Speaker 3: up because they are such a high demand center, they 462 00:24:26,680 --> 00:24:29,120 Speaker 3: still need to go to the countries that are actually 463 00:24:29,320 --> 00:24:31,960 Speaker 3: you know, supplying the actual or at the end of 464 00:24:31,960 --> 00:24:34,040 Speaker 3: the day, and they still need to be aware that 465 00:24:34,080 --> 00:24:36,200 Speaker 3: what they're doing is not a silver bullet for their 466 00:24:36,240 --> 00:24:40,280 Speaker 3: domestic demand. Exports or imports are quite critical for them 467 00:24:40,359 --> 00:24:44,040 Speaker 3: to maintain their copper suppliers. One interesting thing that I 468 00:24:44,080 --> 00:24:46,600 Speaker 3: found though, Tom is a bit of a project between 469 00:24:46,640 --> 00:24:51,320 Speaker 3: Glencore and Schneider Electric. Right, so glen Core minds copper, 470 00:24:51,680 --> 00:24:55,680 Speaker 3: Schneider Electric makes the components that goes into these data centers. 471 00:24:55,920 --> 00:24:59,760 Speaker 3: They have formed a partnership, so they've basically secured their 472 00:24:59,760 --> 00:25:02,320 Speaker 3: fe future copper supply. And we might see a lot 473 00:25:02,400 --> 00:25:05,560 Speaker 3: of the EU doing those partnerships to be able to 474 00:25:05,680 --> 00:25:07,520 Speaker 3: secure their own copper supply. 475 00:25:07,920 --> 00:25:10,680 Speaker 1: So basically the strategy for the EU is to sign 476 00:25:10,720 --> 00:25:12,960 Speaker 1: the book out the library before everyone else does. 477 00:25:13,240 --> 00:25:13,520 Speaker 2: Yes. 478 00:25:13,920 --> 00:25:16,200 Speaker 1: Finally, I mean when we ever were talking about something 479 00:25:16,240 --> 00:25:19,240 Speaker 1: being critical and in short supply, all of that nuance 480 00:25:19,280 --> 00:25:21,439 Speaker 1: can boil down into a number, which is the price. 481 00:25:21,760 --> 00:25:23,760 Speaker 1: And you mentioned that we've seen, you know, even in 482 00:25:23,760 --> 00:25:26,840 Speaker 1: the last month, the price of copper going up, indicating 483 00:25:27,119 --> 00:25:29,800 Speaker 1: a sort of a recognition that this is now becoming 484 00:25:29,920 --> 00:25:32,280 Speaker 1: a kind of a very very critical material. 485 00:25:32,440 --> 00:25:33,360 Speaker 2: What is the outlook? 486 00:25:33,520 --> 00:25:35,040 Speaker 1: Do you have a view on where the price of 487 00:25:35,080 --> 00:25:37,080 Speaker 1: copper is headed or does it do other people have 488 00:25:37,119 --> 00:25:37,800 Speaker 1: a view on that. 489 00:25:38,080 --> 00:25:42,320 Speaker 3: In being if we use the commodity price forecast consensus, 490 00:25:42,320 --> 00:25:45,880 Speaker 3: which is basically a tool on terminal where analyst comes 491 00:25:45,920 --> 00:25:50,280 Speaker 3: together and forecasts the mean, mid, and high copper prices. 492 00:25:50,520 --> 00:25:53,919 Speaker 3: And right now copper prices are quite elevated, close to 493 00:25:54,280 --> 00:25:58,480 Speaker 3: ten thousand dollars per ton, and we have analysts speculating 494 00:25:58,520 --> 00:26:01,280 Speaker 3: that by twenty twenty eight we could see highs about 495 00:26:01,280 --> 00:26:05,919 Speaker 3: thirteenery five hundred, which is quite substantial and it's quite 496 00:26:06,160 --> 00:26:09,600 Speaker 3: telling of what's happening within the market from a tight 497 00:26:09,640 --> 00:26:12,520 Speaker 3: supply point of view, and hopefully that will be a 498 00:26:12,560 --> 00:26:16,479 Speaker 3: wake up signal for these different sectors to see just 499 00:26:16,560 --> 00:26:21,240 Speaker 3: how material copper could be within their different infrastructural buildout. Now, 500 00:26:21,240 --> 00:26:23,960 Speaker 3: when you translate that to data centers, we did a 501 00:26:23,960 --> 00:26:27,360 Speaker 3: bit of study on data center builds that cost between 502 00:26:27,480 --> 00:26:31,200 Speaker 3: seventeen million and I think thirty six million per megawatt, 503 00:26:31,320 --> 00:26:34,080 Speaker 3: and what we found there is that copper can account 504 00:26:34,080 --> 00:26:37,879 Speaker 3: for about three to six percent of capital expenditure. While 505 00:26:37,920 --> 00:26:40,719 Speaker 3: that doesn't sound like a big number, and while we 506 00:26:40,800 --> 00:26:44,560 Speaker 3: know hyperscalers can afford this number, what we would like 507 00:26:44,640 --> 00:26:47,840 Speaker 3: to emphasize that this is a very important line item 508 00:26:47,960 --> 00:26:51,639 Speaker 3: on the materiality of copper and that that money still 509 00:26:51,720 --> 00:26:54,680 Speaker 3: can translate to something quite substantial that can be used 510 00:26:54,680 --> 00:26:57,720 Speaker 3: for something else. So it's just for us to encourage 511 00:26:57,840 --> 00:27:01,120 Speaker 3: these builders to just like watch the market and understand 512 00:27:01,119 --> 00:27:03,520 Speaker 3: how it impacts how you build out your infrastructure. 513 00:27:03,800 --> 00:27:06,040 Speaker 1: Yeah, and I think the other part of it as 514 00:27:06,040 --> 00:27:09,679 Speaker 1: well is that even if they can ultimately afford it 515 00:27:09,720 --> 00:27:12,399 Speaker 1: and decide it's worth it, someone somewhere is going to 516 00:27:12,480 --> 00:27:15,000 Speaker 1: feel the crunch on this. And yeah, it seems that 517 00:27:15,240 --> 00:27:18,479 Speaker 1: copper is critical to everything. I've learned so much today. 518 00:27:18,640 --> 00:27:20,320 Speaker 1: I did not know there was such a thing as 519 00:27:20,320 --> 00:27:22,760 Speaker 1: good copper and bad copper for a start, and that 520 00:27:22,920 --> 00:27:25,240 Speaker 1: was really interesting. And you know, maybe the future it 521 00:27:25,240 --> 00:27:27,080 Speaker 1: won't be good copper and bad copper will be good 522 00:27:27,119 --> 00:27:28,800 Speaker 1: copper and not quite as good copper. 523 00:27:28,880 --> 00:27:31,000 Speaker 2: If we figure out a. 524 00:27:31,000 --> 00:27:33,840 Speaker 1: Way to mitigate some of these environmental issues and of 525 00:27:33,840 --> 00:27:38,040 Speaker 1: the cost issues permitting, maybe that's the road to salvation 526 00:27:38,200 --> 00:27:40,120 Speaker 1: for us, is to figure out how to make bad 527 00:27:40,160 --> 00:27:43,720 Speaker 1: copper better. But it's been really fascinating, and I did 528 00:27:43,760 --> 00:27:46,960 Speaker 1: not have an appreciation going into this of quite how 529 00:27:47,119 --> 00:27:50,840 Speaker 1: critical copper is to just everything. So Rose, thank you 530 00:27:50,880 --> 00:27:52,479 Speaker 1: so much for joining today. 531 00:27:52,640 --> 00:27:55,240 Speaker 3: Thank you so much, Tom for having me today. I'm 532 00:27:55,280 --> 00:27:58,639 Speaker 3: happy to talk a lot more about this. It's just 533 00:27:58,720 --> 00:28:00,600 Speaker 3: one of those things we need to keep boff finger 534 00:28:00,680 --> 00:28:03,640 Speaker 3: on the doll on because the marketer is deffinitely becoming 535 00:28:03,760 --> 00:28:05,280 Speaker 3: quite exciting going forward. 536 00:28:05,480 --> 00:28:09,119 Speaker 1: Well, those of you listening who are BNF clients, you 537 00:28:09,200 --> 00:28:12,040 Speaker 1: literally can talk to Rose more about this. Get in 538 00:28:12,119 --> 00:28:14,560 Speaker 1: touch with your rep and they can set up a conversation. 539 00:28:15,040 --> 00:28:24,440 Speaker 3: Thanks Tom. 540 00:28:24,600 --> 00:28:27,760 Speaker 4: Today's episode of Switched On was produced by Cam Gray 541 00:28:27,960 --> 00:28:31,679 Speaker 4: with production assistants from Kamala Shelling. Bloomberg NIF is a 542 00:28:31,680 --> 00:28:34,840 Speaker 4: service provided by Bloomberg Finance LP and its affiliates. This 543 00:28:34,920 --> 00:28:37,600 Speaker 4: recording does not constitute, nor should it be construed as 544 00:28:37,640 --> 00:28:41,400 Speaker 4: investment in vice, investment recommendations, or a recommendation as to 545 00:28:41,440 --> 00:28:44,280 Speaker 4: an investment or other strategy. Bloomberg ANIF should not be 546 00:28:44,360 --> 00:28:48,080 Speaker 4: considered as information sufficient upon which to base an investment decision. 547 00:28:48,240 --> 00:28:51,200 Speaker 4: Neither Bloomberg Finance LP nor any of its affiliates makes 548 00:28:51,240 --> 00:28:54,959 Speaker 4: any representation or warranty as to the accuracy or completeness 549 00:28:54,960 --> 00:28:57,960 Speaker 4: of the information contained in this recording, and any liability 550 00:28:58,000 --> 00:29:00,680 Speaker 4: as a result of this recording is expressly it is quiet. 551 00:29:09,560 --> 00:29:09,760 Speaker 2: Hm