1 00:00:00,080 --> 00:00:16,239 Speaker 1: M hey everyone. So July two seven, Hawthorne, Nevada. It's 2 00:00:16,239 --> 00:00:19,720 Speaker 1: a tiny town in Mineral County in Nevada, bordering the Sierras, 3 00:00:19,760 --> 00:00:21,840 Speaker 1: kind of halfway down the state. I was a young 4 00:00:21,920 --> 00:00:24,439 Speaker 1: energy analyst on a solo road trip of the western US, 5 00:00:24,560 --> 00:00:27,080 Speaker 1: visiting different geothermal sites to get a field for that sector, 6 00:00:27,400 --> 00:00:30,840 Speaker 1: so operating power plants, plants under construction, drilling sites, and 7 00:00:30,840 --> 00:00:35,400 Speaker 1: on that particular day, a very early stage exploration. I 8 00:00:35,479 --> 00:00:37,120 Speaker 1: was sent out on this trip under the notion that 9 00:00:37,120 --> 00:00:39,680 Speaker 1: there's no substitute for experience. It reminds me of that 10 00:00:39,680 --> 00:00:42,760 Speaker 1: Bruce Springsteen song. Bobby Jean Rees says, we learned more 11 00:00:42,760 --> 00:00:44,639 Speaker 1: from a three minute record baby than we ever did 12 00:00:44,640 --> 00:00:47,720 Speaker 1: in school when it comes to understanding what's actually going on, 13 00:00:48,040 --> 00:00:50,239 Speaker 1: for getting a feel for something, it's so true. You've 14 00:00:50,280 --> 00:00:51,639 Speaker 1: got to be there, you have to do the thing. 15 00:00:52,440 --> 00:00:55,600 Speaker 1: So back in Hawthorne, six am at the El Capitan Casino. 16 00:00:55,720 --> 00:00:58,120 Speaker 1: Look it up. It's as glamorous as it sounds. I 17 00:00:58,200 --> 00:01:01,000 Speaker 1: met up with a freelance geologist, really nice guy, known 18 00:01:01,040 --> 00:01:03,000 Speaker 1: to take off into the desert on his own for 19 00:01:03,080 --> 00:01:04,960 Speaker 1: weeks at a time and come back to his client 20 00:01:05,000 --> 00:01:08,640 Speaker 1: with beautiful accurate hand drawn maps. From there, we drove 21 00:01:08,640 --> 00:01:11,240 Speaker 1: in his truck north and east deep into the U. 22 00:01:11,280 --> 00:01:14,360 Speaker 1: S Grade basin. After three or so hours on a 23 00:01:14,400 --> 00:01:16,240 Speaker 1: dirt road, we came to a sort of dingo fence. 24 00:01:16,360 --> 00:01:17,760 Speaker 1: Then we had to get out and open up, and 25 00:01:17,760 --> 00:01:19,920 Speaker 1: then we kept going more to crawl. Now, given the 26 00:01:20,000 --> 00:01:22,240 Speaker 1: rocks we had to cross over, we kept bouncing along 27 00:01:22,280 --> 00:01:24,520 Speaker 1: for another hour or so until we got to our destination, 28 00:01:24,840 --> 00:01:28,600 Speaker 1: the middle of absolute nowhere. He said, in all likelihood 29 00:01:28,640 --> 00:01:30,240 Speaker 1: we were the first people to visit this patch of 30 00:01:30,319 --> 00:01:33,080 Speaker 1: land in at least fifty years. There was a rusted 31 00:01:33,080 --> 00:01:36,639 Speaker 1: out nineteen twenties Ish trucks standing next to a fallen shack. 32 00:01:36,959 --> 00:01:38,399 Speaker 1: But all this was right next to a bunch of 33 00:01:38,400 --> 00:01:40,919 Speaker 1: hot springs. He was there to map them in relation 34 00:01:40,959 --> 00:01:43,120 Speaker 1: to fault lines in the surrounding area, to get an 35 00:01:43,120 --> 00:01:46,679 Speaker 1: initial sense of the reservoir down below. Very cool. About 36 00:01:46,720 --> 00:01:48,640 Speaker 1: two hours into our drive back to Hawthorne, he looks 37 00:01:48,640 --> 00:01:50,040 Speaker 1: over at me and he says, hey, you want to 38 00:01:50,040 --> 00:01:54,560 Speaker 1: see my claim? You mean, like old timey prospector claim. Um, yeah, 39 00:01:54,680 --> 00:01:57,080 Speaker 1: I do. So he turned to the next crossing on 40 00:01:57,120 --> 00:01:58,760 Speaker 1: the dirt road we were on, and we arrived at 41 00:01:58,760 --> 00:02:01,880 Speaker 1: a big pit. Whatever you find you can keep, he said, Well, 42 00:02:01,920 --> 00:02:04,560 Speaker 1: turns out it was a turquoise claim. So there I 43 00:02:04,680 --> 00:02:06,640 Speaker 1: was with a hammer and the Nevada son, banging on 44 00:02:06,800 --> 00:02:09,080 Speaker 1: rocks and finding more than a handful of really great 45 00:02:09,080 --> 00:02:11,600 Speaker 1: turquoise that I still have to this day. Turns out 46 00:02:11,639 --> 00:02:13,520 Speaker 1: that when he found this claim, he immediately quit his 47 00:02:13,600 --> 00:02:16,000 Speaker 1: job at a commercial copper mine in Utah and focused 48 00:02:16,000 --> 00:02:18,560 Speaker 1: on this full time. From mining the turquoise to making jewelry. 49 00:02:18,680 --> 00:02:20,320 Speaker 1: He said he was doing okay at it for a while, 50 00:02:20,440 --> 00:02:22,359 Speaker 1: but then in the end couldn't compete with the commercial 51 00:02:22,480 --> 00:02:24,560 Speaker 1: minds and jewelers and had to let the business go. 52 00:02:25,440 --> 00:02:27,160 Speaker 1: Today on switched on. We're going to talk about how 53 00:02:27,240 --> 00:02:29,400 Speaker 1: natural resource discoveries can be a boon for those in 54 00:02:29,680 --> 00:02:31,760 Speaker 1: a position to benefit from them, but for others they 55 00:02:31,760 --> 00:02:35,120 Speaker 1: can up end lives with some pretty dire consequences. We'll 56 00:02:35,160 --> 00:02:38,320 Speaker 1: focus specifically on cobalt and a trip. BENF Medals analyst 57 00:02:38,360 --> 00:02:41,400 Speaker 1: Quasi Mpofo recently took to the Democratic Republic of the Congo. 58 00:02:42,040 --> 00:02:44,320 Speaker 1: He went to better understand the market and conditions in 59 00:02:44,360 --> 00:02:47,280 Speaker 1: a country that supplies seventy of the world's cobalt, a 60 00:02:47,360 --> 00:02:50,160 Speaker 1: key component in the batteries in our bones and increasingly 61 00:02:50,280 --> 00:02:53,480 Speaker 1: electric cars. The episode is based on a report titled 62 00:02:53,560 --> 00:02:56,640 Speaker 1: Solving the Blood Cobalt Challenge for EVS. Benof users can 63 00:02:56,639 --> 00:02:59,280 Speaker 1: access this report on BNF dot com, the BENF mobile app, 64 00:02:59,400 --> 00:03:02,040 Speaker 1: and the Bloomberg terminal. As a reminder, being If does 65 00:03:02,080 --> 00:03:03,920 Speaker 1: not provide investment of strategy advice, and you can hear 66 00:03:03,919 --> 00:03:05,799 Speaker 1: the full disclaimer at the end of the show. I'm 67 00:03:05,840 --> 00:03:08,400 Speaker 1: Mark Taylor here Withdanna Perkins and you're listening to switch 68 00:03:08,480 --> 00:03:12,720 Speaker 1: on to being a podcast Quazy, Thank you for joining 69 00:03:12,760 --> 00:03:14,960 Speaker 1: us here today. Thank you for having me. You recently 70 00:03:15,000 --> 00:03:17,840 Speaker 1: returned from a trip from the Democratic Republic of the Congo, 71 00:03:17,960 --> 00:03:20,280 Speaker 1: which we will refer to as the DRC probably for 72 00:03:20,320 --> 00:03:22,680 Speaker 1: the rest of this podcast and really is going to 73 00:03:22,680 --> 00:03:26,080 Speaker 1: be the focus of our conversation today. While bienny F 74 00:03:26,120 --> 00:03:28,880 Speaker 1: analysts over the course of their career do often come 75 00:03:28,960 --> 00:03:33,160 Speaker 1: in contact with the research topics that they cover, you know, 76 00:03:33,200 --> 00:03:36,040 Speaker 1: there usually is a reason to go and it explore 77 00:03:36,080 --> 00:03:38,560 Speaker 1: a little deeper. What were you hoping to achieve on 78 00:03:38,560 --> 00:03:40,160 Speaker 1: this trip and maybe you could tell us a little 79 00:03:40,160 --> 00:03:43,640 Speaker 1: bit more about what these minds are actually like. Yeah, sure, 80 00:03:44,160 --> 00:03:47,200 Speaker 1: so festival to put it in a little bit. In context, 81 00:03:47,520 --> 00:03:49,880 Speaker 1: cobalt is one of the metals that goes into the 82 00:03:50,000 --> 00:03:53,600 Speaker 1: lathing my own batteries. It's a key component and the 83 00:03:53,720 --> 00:03:58,920 Speaker 1: DRC currently produces as of the global cobalt, so it's 84 00:03:58,960 --> 00:04:01,720 Speaker 1: a very key market for cobalts. And then as part 85 00:04:01,720 --> 00:04:04,880 Speaker 1: of our coverage, we wanted to understand what is it 86 00:04:04,920 --> 00:04:07,080 Speaker 1: that is happening on the ground. We wanted to visit 87 00:04:07,120 --> 00:04:09,440 Speaker 1: some minds to be able to put production that's apply 88 00:04:09,480 --> 00:04:12,840 Speaker 1: into perspective. And also importantly we wanted to have our 89 00:04:12,880 --> 00:04:15,520 Speaker 1: own independent view of how it iss No on mind 90 00:04:15,520 --> 00:04:18,440 Speaker 1: supply is on the ground, what was it like? Can 91 00:04:18,480 --> 00:04:21,719 Speaker 1: you describe? Well, first what is artisanal mining and what 92 00:04:21,800 --> 00:04:23,440 Speaker 1: kind of things did you see there? So it iss 93 00:04:23,440 --> 00:04:26,240 Speaker 1: not minding pretty much has to do with the tools 94 00:04:26,320 --> 00:04:29,080 Speaker 1: we used to mind, So it's just using normal pickasts, 95 00:04:29,160 --> 00:04:30,960 Speaker 1: like the kind of tools you use in the backyard 96 00:04:31,000 --> 00:04:33,599 Speaker 1: garden to mine. And also secondly, it has to do 97 00:04:33,720 --> 00:04:35,640 Speaker 1: with how much or how deep you can go. I 98 00:04:35,680 --> 00:04:38,840 Speaker 1: think in the Congo you can't go below fifteen meters 99 00:04:38,839 --> 00:04:41,440 Speaker 1: somewhere on that. So it's pretty much the tools and 100 00:04:41,480 --> 00:04:43,560 Speaker 1: the skill that's which you can mind. And it was 101 00:04:43,640 --> 00:04:46,440 Speaker 1: quite fascinating and interesting because before I went had read 102 00:04:46,440 --> 00:04:49,440 Speaker 1: a lot about you know, how unsafe it is for people. 103 00:04:49,480 --> 00:04:51,560 Speaker 1: And I must say it was fun, but at the 104 00:04:51,600 --> 00:04:53,919 Speaker 1: same time it was sometimes very confusing. I don't know 105 00:04:53,960 --> 00:04:56,320 Speaker 1: what Charles Dickens says. It was the best of times 106 00:04:56,400 --> 00:04:58,040 Speaker 1: at the same time it was the West of time. 107 00:04:58,120 --> 00:05:00,839 Speaker 1: So in some areas you go, people seem to be 108 00:05:00,839 --> 00:05:03,160 Speaker 1: following the laid down rules, the wing that right, using 109 00:05:03,160 --> 00:05:05,600 Speaker 1: the right tools, but then in other places not so 110 00:05:05,720 --> 00:05:08,039 Speaker 1: many people were doing it right and using the right tools. 111 00:05:08,120 --> 00:05:10,559 Speaker 1: And it was just having to be in both wells. 112 00:05:10,600 --> 00:05:14,039 Speaker 1: And what's quite interesting, other minds, other kinds of other 113 00:05:14,320 --> 00:05:18,200 Speaker 1: different commodities are done in a different way. They're not 114 00:05:18,360 --> 00:05:20,479 Speaker 1: used using these pick axes. It is it's something that 115 00:05:20,600 --> 00:05:23,279 Speaker 1: is specific to cobalt that requires this type of mining, 116 00:05:23,360 --> 00:05:26,240 Speaker 1: or is it something that's specific to the country. So 117 00:05:26,320 --> 00:05:28,040 Speaker 1: I mean it's a it's just not mining. It's a 118 00:05:28,080 --> 00:05:31,560 Speaker 1: global challenge. You're looking at globally about forty million or 119 00:05:31,680 --> 00:05:35,080 Speaker 1: more people involved in it all around the world, And yeah, 120 00:05:35,200 --> 00:05:38,719 Speaker 1: it's pretty huge, and it's specifically. We used to find 121 00:05:38,760 --> 00:05:41,799 Speaker 1: this happening in the precious method or precious minerals area. 122 00:05:42,040 --> 00:05:45,000 Speaker 1: And by that I mean gold. You're talking about the diamonds, 123 00:05:45,080 --> 00:05:48,800 Speaker 1: things that have really high value and it's very easy 124 00:05:48,839 --> 00:05:52,839 Speaker 1: and less downting to process. But historically what we've seen 125 00:05:52,920 --> 00:05:55,320 Speaker 1: with the cobal sector is that so the value of 126 00:05:55,320 --> 00:05:58,080 Speaker 1: cobal is shut up two hundred thousand dollar pet on 127 00:05:58,360 --> 00:06:01,440 Speaker 1: last year, up from about twenty thousand five years ago. 128 00:06:01,920 --> 00:06:03,679 Speaker 1: So all of a sudden, you have just this piece 129 00:06:03,680 --> 00:06:06,000 Speaker 1: of sun in your backyard which is worth hundred thousand 130 00:06:06,120 --> 00:06:10,120 Speaker 1: that's probably your whole lifetime. And so people just started 131 00:06:10,160 --> 00:06:12,400 Speaker 1: digging their back yards and decide that. I went to 132 00:06:12,960 --> 00:06:16,080 Speaker 1: the history of it is in this young man was 133 00:06:16,160 --> 00:06:18,479 Speaker 1: digging his sea wage at his back yard and he 134 00:06:18,560 --> 00:06:21,880 Speaker 1: hits what he would later learn his cobalt. So all 135 00:06:21,920 --> 00:06:25,479 Speaker 1: of the sudden, his neighbors that digging their bedrooms, their bathrooms, 136 00:06:25,560 --> 00:06:29,400 Speaker 1: their poaches and everywhere. Everyone was just digging. And to 137 00:06:29,440 --> 00:06:32,120 Speaker 1: put it in perspective, this was in the middle of 138 00:06:32,200 --> 00:06:35,599 Speaker 1: the city where the local market was. So the government 139 00:06:35,600 --> 00:06:37,600 Speaker 1: had to step in and that is when they had 140 00:06:37,640 --> 00:06:39,120 Speaker 1: to do something. How did you figure out it was 141 00:06:39,520 --> 00:06:42,520 Speaker 1: good question. So these are people that have lived in 142 00:06:43,080 --> 00:06:45,960 Speaker 1: they've lived in cobalt all their lives, I mean expected 143 00:06:45,960 --> 00:06:47,800 Speaker 1: to be blue. But I was told in a previous 144 00:06:47,839 --> 00:06:50,520 Speaker 1: episode by Sophie Lou that a couple of mine is 145 00:06:50,520 --> 00:06:53,920 Speaker 1: not blue. No, it's not blue. So it's black mixed 146 00:06:53,920 --> 00:06:55,599 Speaker 1: with up. So it's just the nature of the rock. 147 00:06:56,200 --> 00:06:58,440 Speaker 1: As a trained geologist, I'm able to tell. We're training 148 00:06:58,480 --> 00:07:00,600 Speaker 1: it should be able to tell what it looks like 149 00:07:00,920 --> 00:07:02,960 Speaker 1: from other monros in the soil. There there are a 150 00:07:03,040 --> 00:07:06,440 Speaker 1: large number of people who have actually become millionaires off 151 00:07:06,440 --> 00:07:09,160 Speaker 1: of this or is it really people are digging this 152 00:07:09,240 --> 00:07:12,400 Speaker 1: stuff up, but somewhere centrally there's a company that's really 153 00:07:12,400 --> 00:07:15,160 Speaker 1: profiting off of this. So it's an interesting value chain. 154 00:07:15,280 --> 00:07:18,000 Speaker 1: So basically you have the people who do the dig in, 155 00:07:18,200 --> 00:07:20,120 Speaker 1: so they are at the lower end of the value chain. 156 00:07:20,680 --> 00:07:23,520 Speaker 1: So from what I'm told to get about, in good 157 00:07:23,560 --> 00:07:26,480 Speaker 1: times when prices are high, they get about fifty to 158 00:07:26,640 --> 00:07:30,160 Speaker 1: thirty dollars per day for their efforts and their work. 159 00:07:30,560 --> 00:07:32,560 Speaker 1: And as you go higher, you get closer to the 160 00:07:32,600 --> 00:07:36,240 Speaker 1: hundred thousand dollar bounty I talked about. So you find 161 00:07:36,240 --> 00:07:38,800 Speaker 1: that they gets getting the least, and then that gets 162 00:07:38,840 --> 00:07:42,480 Speaker 1: transported to the next level of um workers, who are 163 00:07:42,520 --> 00:07:45,040 Speaker 1: mostly the washers, and that's where you find most women 164 00:07:45,440 --> 00:07:48,840 Speaker 1: getting involved and in the DFC. According to estimates, we 165 00:07:49,160 --> 00:07:51,600 Speaker 1: recorded forty percent of people in that art is now 166 00:07:51,720 --> 00:07:55,960 Speaker 1: mining sector women. So they they do the washing in 167 00:07:56,000 --> 00:07:58,920 Speaker 1: other ways, trying to increase the concentrates of the cobalts 168 00:07:59,160 --> 00:08:01,360 Speaker 1: in the matter reals that they have, and that moves 169 00:08:01,400 --> 00:08:04,120 Speaker 1: out to the value chain to what we call the bias. 170 00:08:04,240 --> 00:08:06,360 Speaker 1: So these are biased that come all over the world, 171 00:08:06,600 --> 00:08:09,920 Speaker 1: particularly from China from India who buy these and they 172 00:08:09,960 --> 00:08:13,040 Speaker 1: send it off to the smeltes who do the further processing. 173 00:08:13,560 --> 00:08:16,720 Speaker 1: And from these smeltes eight percent of the cobalt that 174 00:08:16,800 --> 00:08:19,520 Speaker 1: is producing congo and get shipped to China and it's 175 00:08:19,560 --> 00:08:22,400 Speaker 1: refined into chemicals that we use for batteries. So when 176 00:08:22,400 --> 00:08:26,040 Speaker 1: I read your note, I thought China, okay, so that 177 00:08:26,120 --> 00:08:28,360 Speaker 1: means the batteries that I used probably in in my phone. 178 00:08:28,360 --> 00:08:30,920 Speaker 1: But then I thought, oh no, not my phone. I'm 179 00:08:30,920 --> 00:08:32,959 Speaker 1: sure my phone is fine, but that's that's wrong, right, 180 00:08:33,120 --> 00:08:35,600 Speaker 1: The stuff is in my phone is very wrong. It's 181 00:08:35,720 --> 00:08:38,640 Speaker 1: very hard to trace the value chain. Where does they 182 00:08:38,640 --> 00:08:41,760 Speaker 1: get marquis So mostly what we noticed it was at 183 00:08:41,760 --> 00:08:44,400 Speaker 1: the smelter on the refinery level, because they buy and 184 00:08:44,520 --> 00:08:46,880 Speaker 1: it mix it in this hot cooking pots where it 185 00:08:46,920 --> 00:08:49,480 Speaker 1: comes from every source. So you have those who are 186 00:08:49,480 --> 00:08:52,480 Speaker 1: doing it right sending it to the same smelter as 187 00:08:52,520 --> 00:08:54,800 Speaker 1: those who are mining with children sending it to the 188 00:08:54,840 --> 00:08:58,120 Speaker 1: same smelter. So that melting pot is where we found 189 00:08:58,640 --> 00:09:03,040 Speaker 1: the hardest child. Is there a pricing difference between ethical 190 00:09:03,200 --> 00:09:06,000 Speaker 1: and not ethical cobalt? For now? Not on the market. 191 00:09:06,160 --> 00:09:09,560 Speaker 1: The London Metals Exchange le MY sets the price for cobalt, 192 00:09:09,720 --> 00:09:12,040 Speaker 1: and that is what pretty much everyone around the world uses, 193 00:09:12,600 --> 00:09:16,000 Speaker 1: So why wouldn't everyone buy ethical cobalt? So, like I 194 00:09:16,080 --> 00:09:18,920 Speaker 1: mentioned earlier, the d r C produces seventy of the 195 00:09:18,960 --> 00:09:22,240 Speaker 1: current cobalt market. The problem there is that it's a 196 00:09:22,280 --> 00:09:25,920 Speaker 1: country where it's hard to trace the origin of the 197 00:09:25,960 --> 00:09:29,880 Speaker 1: cobalts you buy. You don't know. There had been conversations 198 00:09:29,960 --> 00:09:34,400 Speaker 1: about relying on other markets like Australia, like Canada, like Cuba. 199 00:09:34,720 --> 00:09:37,280 Speaker 1: But what we found in our research is that if 200 00:09:37,360 --> 00:09:40,559 Speaker 1: all automakers were to rely on cobord that comes out 201 00:09:40,600 --> 00:09:43,400 Speaker 1: of the d r C, by one, there will not 202 00:09:43,400 --> 00:09:46,120 Speaker 1: be enough cobalt for our batteries and that might threatend 203 00:09:46,160 --> 00:09:48,920 Speaker 1: the whole Evie revolution. So one way or the other 204 00:09:49,720 --> 00:09:51,760 Speaker 1: you have to deal with the d r C if 205 00:09:51,760 --> 00:09:54,320 Speaker 1: we want to get sustainable supply of cobalt. But the 206 00:09:54,400 --> 00:09:57,199 Speaker 1: challenger is that you just don't know where your cobalt 207 00:09:57,280 --> 00:10:00,120 Speaker 1: is coming from. So literally, in a year from now, 208 00:10:00,679 --> 00:10:03,559 Speaker 1: if we decided, okay, we're just not going to buy 209 00:10:03,600 --> 00:10:07,520 Speaker 1: anything from the Democratic Republic of the Congo, we wouldn't 210 00:10:07,559 --> 00:10:09,800 Speaker 1: have lithium my own batteries, and lithium my own batteries 211 00:10:09,800 --> 00:10:15,280 Speaker 1: are used in well, my phone, your phone, cars, stationary 212 00:10:15,320 --> 00:10:18,280 Speaker 1: storage for utilities, so pretty widespread and we've got some 213 00:10:18,440 --> 00:10:21,800 Speaker 1: pretty aggressive forecasts for there to be more of them. 214 00:10:22,080 --> 00:10:25,280 Speaker 1: Can you actually, So there's there's this term ethical cobalt 215 00:10:25,360 --> 00:10:28,760 Speaker 1: which exists and it has a pretty strict definition of 216 00:10:28,800 --> 00:10:32,520 Speaker 1: what is ethical. Can you explain that? So ethical cobalt 217 00:10:32,760 --> 00:10:35,520 Speaker 1: is cobalts that first of all, is free from child labor, 218 00:10:36,240 --> 00:10:39,920 Speaker 1: very important. Secondly, you don't have issues of corruptions around 219 00:10:40,000 --> 00:10:42,480 Speaker 1: in it, and in the d C on Congo in 220 00:10:42,480 --> 00:10:46,679 Speaker 1: particular their incidents where minerals sold where used to fund 221 00:10:46,720 --> 00:10:50,560 Speaker 1: wars and other conflicts within the region, so there's no 222 00:10:50,640 --> 00:10:55,120 Speaker 1: incident of corruption and human rights is respected. Also in 223 00:10:55,160 --> 00:10:57,040 Speaker 1: the d r C, d A incidents where people like 224 00:10:57,360 --> 00:11:00,320 Speaker 1: in regions where they are not assured than guarantee of 225 00:11:00,400 --> 00:11:04,920 Speaker 1: a good safety wakened environment. So basically, ethical cobortists about 226 00:11:04,920 --> 00:11:08,760 Speaker 1: three tens eliminate children out of those, MINCE guarantee human 227 00:11:08,880 --> 00:11:12,280 Speaker 1: rights safety, and thirdly, it should be free from corruption. 228 00:11:12,559 --> 00:11:15,240 Speaker 1: So further down the line, there are companies that are 229 00:11:15,559 --> 00:11:19,400 Speaker 1: very aware of this and trying to source ethical cobalt, 230 00:11:20,040 --> 00:11:23,360 Speaker 1: even if it's very challenging to do. What are some 231 00:11:23,440 --> 00:11:25,640 Speaker 1: of the companies that are sort of leading the way 232 00:11:25,679 --> 00:11:29,800 Speaker 1: and trying to improve this particular issue. So in this area, 233 00:11:29,920 --> 00:11:33,080 Speaker 1: the Kunsumer electronic industry actually had a head stats, so 234 00:11:33,080 --> 00:11:35,800 Speaker 1: you think and been like Apple. Apple is one of 235 00:11:35,840 --> 00:11:39,720 Speaker 1: the companies that initiated very strong supply chain principles to 236 00:11:39,800 --> 00:11:43,600 Speaker 1: ensure that the acborts is eartically sourced. So I would 237 00:11:43,640 --> 00:11:46,280 Speaker 1: say the EV sector is playing a catch up to that, 238 00:11:46,760 --> 00:11:50,480 Speaker 1: and we've had BMW, for example, showing really strong leadership 239 00:11:50,600 --> 00:11:53,719 Speaker 1: by engaging with companies in the DRC and with that 240 00:11:53,840 --> 00:11:56,280 Speaker 1: Sisenal Mince and the DFC. Currently they've entered a three 241 00:11:56,320 --> 00:11:59,800 Speaker 1: year partnership with the German government to pilot how best 242 00:12:00,040 --> 00:12:02,880 Speaker 1: they can ensure transparency in the chain. We've also have 243 00:12:03,000 --> 00:12:07,480 Speaker 1: incidents where Voxwagon VW also working with blockchain technologies to 244 00:12:07,679 --> 00:12:10,920 Speaker 1: ensure that the cobalt the source is traceable and they 245 00:12:10,960 --> 00:12:14,000 Speaker 1: know where it's coming from. There's also the incident like 246 00:12:14,080 --> 00:12:17,760 Speaker 1: companies like why You that are actively engaging with companies 247 00:12:17,800 --> 00:12:20,320 Speaker 1: on the ground to ensure that they're able to verify 248 00:12:20,440 --> 00:12:23,440 Speaker 1: wherever the source their cobalt. So there are companies around 249 00:12:23,840 --> 00:12:26,160 Speaker 1: doing quite great stuff in the process, but as I 250 00:12:26,200 --> 00:12:29,840 Speaker 1: said earlier, it is a very very challenging issue, especially 251 00:12:29,840 --> 00:12:32,680 Speaker 1: where it gets missed in the hot pot. In other ways, 252 00:12:32,679 --> 00:12:37,000 Speaker 1: the smelter does the regulatory oversight for other minerals, would 253 00:12:37,000 --> 00:12:39,200 Speaker 1: it work for cobalt as well the same frameworks that 254 00:12:39,200 --> 00:12:41,680 Speaker 1: are used for other minerals. It should. So in terms 255 00:12:41,679 --> 00:12:44,160 Speaker 1: of framework particularly what is this that before the whole 256 00:12:44,240 --> 00:12:47,040 Speaker 1: cobalt type was what we call the dot frank, which 257 00:12:47,040 --> 00:12:49,960 Speaker 1: is a United States Act, and part of that was 258 00:12:50,040 --> 00:12:53,880 Speaker 1: to ensure that confluce minerals produced in the origion of 259 00:12:53,920 --> 00:12:56,440 Speaker 1: the d r C do not end up in the 260 00:12:56,480 --> 00:12:59,760 Speaker 1: global supply chain to fund conflict in the DRC. And 261 00:12:59,760 --> 00:13:02,640 Speaker 1: with these ones it will focus on gold it's in 262 00:13:02,840 --> 00:13:05,680 Speaker 1: and other metals, So yes, it that's weak. But then 263 00:13:05,720 --> 00:13:08,320 Speaker 1: the limitation of the dot Frank is the fact that 264 00:13:08,360 --> 00:13:11,000 Speaker 1: it already focused on finance and conflicts, and this is 265 00:13:11,040 --> 00:13:14,240 Speaker 1: a different issue. And then dot frank what the framework 266 00:13:14,320 --> 00:13:17,280 Speaker 1: did was you just have to do a due diligence 267 00:13:17,840 --> 00:13:21,080 Speaker 1: on your upstream and just put it in the United 268 00:13:21,120 --> 00:13:23,599 Speaker 1: States SEG document that you've done it due diligence and 269 00:13:23,640 --> 00:13:27,679 Speaker 1: to the best of your knowledge, ABC requirements has been satisfied. 270 00:13:28,080 --> 00:13:31,160 Speaker 1: But when you're talking about these ethical stuff I mentioned, 271 00:13:31,520 --> 00:13:33,760 Speaker 1: you need to take it a step further when it 272 00:13:33,800 --> 00:13:36,760 Speaker 1: comes to trying to improve that. You can do diligence, 273 00:13:36,800 --> 00:13:39,599 Speaker 1: but only the information has to be good enough to 274 00:13:39,679 --> 00:13:42,199 Speaker 1: do diligence on. You mentioned in this note that maybe 275 00:13:42,200 --> 00:13:44,880 Speaker 1: blockchain could be part of the solution. What are some 276 00:13:45,000 --> 00:13:48,760 Speaker 1: of the ways to improve the transparency for those that 277 00:13:48,840 --> 00:13:52,440 Speaker 1: do care a lot about improving this for the miners, 278 00:13:53,160 --> 00:13:55,200 Speaker 1: So first of all, you have to go to the 279 00:13:55,280 --> 00:13:59,480 Speaker 1: DFC and work with the producers. It's very important because 280 00:13:59,720 --> 00:14:02,640 Speaker 1: I say, you're developing a blockchain technology in the corner 281 00:14:02,840 --> 00:14:06,439 Speaker 1: streets in London and hoping that people in the d 282 00:14:06,600 --> 00:14:09,280 Speaker 1: r C or elsewhere mining cobal to do the writing. 283 00:14:09,480 --> 00:14:11,960 Speaker 1: By feeding you with the right information can be a 284 00:14:11,960 --> 00:14:14,720 Speaker 1: disaster at the end of the day. And like basic 285 00:14:14,760 --> 00:14:17,599 Speaker 1: computer knowledge, we are no garbage in garbage out. You 286 00:14:17,640 --> 00:14:19,720 Speaker 1: don't put in the right data, you wouldn't get the 287 00:14:19,880 --> 00:14:22,800 Speaker 1: right output. So one of the companies I got to 288 00:14:22,920 --> 00:14:25,720 Speaker 1: engage with when I was in La Laba, which is 289 00:14:25,720 --> 00:14:28,840 Speaker 1: where most of the cob artists produced, had actually got 290 00:14:28,880 --> 00:14:32,360 Speaker 1: a third party to monitor four seven some of these 291 00:14:32,400 --> 00:14:36,960 Speaker 1: mind sides and the monitor or the monitoring officer had 292 00:14:36,960 --> 00:14:40,120 Speaker 1: a mobile phone connected to the internet. He is on 293 00:14:40,160 --> 00:14:43,080 Speaker 1: the app. They've developed a special app for him and 294 00:14:43,120 --> 00:14:47,880 Speaker 1: he's able to report everything or any inconsistency that he 295 00:14:47,920 --> 00:14:51,600 Speaker 1: witnesses according to a framework he's been given. So as 296 00:14:51,640 --> 00:14:54,320 Speaker 1: soon as he imputed that data, there's a whole group 297 00:14:54,320 --> 00:14:57,440 Speaker 1: and I think France or somewhere in Europe picks it up, 298 00:14:57,760 --> 00:15:00,520 Speaker 1: action it. They send it back to the an Honor 299 00:15:00,800 --> 00:15:03,920 Speaker 1: and tell them that hey, these are the issues we flagged. 300 00:15:04,440 --> 00:15:07,120 Speaker 1: You have twenty eight days to do it right or 301 00:15:07,160 --> 00:15:09,880 Speaker 1: else we will take you off the supply chain. So 302 00:15:10,040 --> 00:15:14,320 Speaker 1: there are some quite interesting innovative things being done in 303 00:15:14,360 --> 00:15:16,960 Speaker 1: the DRC that I witnessed that I believe, if it 304 00:15:17,000 --> 00:15:22,520 Speaker 1: should be skilled, it can really really help make ethical 305 00:15:22,600 --> 00:15:26,400 Speaker 1: sourcing of cobalt reality. So back to your question of blockchain, Yes, 306 00:15:26,400 --> 00:15:29,880 Speaker 1: it would play a role, and like every blockchain technology, 307 00:15:29,880 --> 00:15:33,720 Speaker 1: it would help democratize the way information is shed. But 308 00:15:33,760 --> 00:15:35,640 Speaker 1: then the end game is that it has to be 309 00:15:35,680 --> 00:15:39,120 Speaker 1: in conjunction with what is happening undergone for us to 310 00:15:39,200 --> 00:15:43,200 Speaker 1: have a full value out of it. Okay, can we start? 311 00:15:43,240 --> 00:15:44,800 Speaker 1: Can we try to do something like a like a 312 00:15:44,800 --> 00:15:48,840 Speaker 1: beginner's guide If I'm a strategist, say at a utility 313 00:15:49,400 --> 00:15:52,520 Speaker 1: who wants to install a bunch of batteries that you 314 00:15:52,600 --> 00:15:55,440 Speaker 1: need cobalt, It's all a bunch of batteries. Look at 315 00:15:55,520 --> 00:15:58,840 Speaker 1: my batteries, thank you. Where do I even get started 316 00:15:58,920 --> 00:16:02,160 Speaker 1: to find? Ethically? So, so currently there are companies that 317 00:16:02,200 --> 00:16:05,600 Speaker 1: are conducting or they will conduct your monitoring and evaluation 318 00:16:05,680 --> 00:16:08,040 Speaker 1: for you in the DRC on the ground. So an 319 00:16:08,040 --> 00:16:11,520 Speaker 1: example of the company's be interacted it was OURCS Global. 320 00:16:12,480 --> 00:16:16,400 Speaker 1: So they have this system where they send a monitoring 321 00:16:16,480 --> 00:16:19,640 Speaker 1: officer on site who monitors a side for you twenty 322 00:16:19,720 --> 00:16:22,320 Speaker 1: four seven. And then what they do is that they 323 00:16:22,360 --> 00:16:26,960 Speaker 1: have a framework within which every mind that the monitor 324 00:16:27,200 --> 00:16:30,400 Speaker 1: is supposed to comply. So what the framework is? Do 325 00:16:30,480 --> 00:16:33,760 Speaker 1: you have children and there are you working safely, So 326 00:16:33,920 --> 00:16:37,000 Speaker 1: about twenty one or more questions that has to be 327 00:16:37,040 --> 00:16:40,400 Speaker 1: answered every day by this monitoring officer. So whenever this 328 00:16:40,520 --> 00:16:44,480 Speaker 1: monitoring officers witnesses what we call red flags, he has 329 00:16:44,520 --> 00:16:46,720 Speaker 1: too quickly in real time put it in the system. 330 00:16:47,240 --> 00:16:49,840 Speaker 1: So there are two layers of review. So I think 331 00:16:49,880 --> 00:16:54,520 Speaker 1: there's the first local review that reviews the red flag, say, 332 00:16:54,600 --> 00:16:58,400 Speaker 1: for example, someone showed up to work drunk, so that 333 00:16:58,520 --> 00:17:01,000 Speaker 1: is escalator too. Maybe there's a European team that also 334 00:17:01,040 --> 00:17:03,920 Speaker 1: looks at it in the second review. And then I'd 335 00:17:03,960 --> 00:17:07,439 Speaker 1: say after a week, the compiler report to the minor 336 00:17:07,720 --> 00:17:10,359 Speaker 1: and go like these are the red flags before observed. 337 00:17:10,680 --> 00:17:14,919 Speaker 1: On your side, these are the remedies. We recommend. You 338 00:17:14,960 --> 00:17:18,320 Speaker 1: have twenty one days to work on it or else 339 00:17:18,840 --> 00:17:21,800 Speaker 1: until your supplies. So you the utility company and they 340 00:17:21,800 --> 00:17:24,680 Speaker 1: will tell you that, look, mine is not reliable, Please 341 00:17:24,680 --> 00:17:27,840 Speaker 1: don't buy it from mine anymore. Does this monitoring officer 342 00:17:28,040 --> 00:17:30,359 Speaker 1: work for you, and it is essentially going down the 343 00:17:30,440 --> 00:17:33,000 Speaker 1: list of things that you've defined are important or did 344 00:17:33,040 --> 00:17:36,600 Speaker 1: they come with their own framework that you essentially are 345 00:17:36,680 --> 00:17:39,479 Speaker 1: just collecting information on and have multiple clients that are 346 00:17:39,520 --> 00:17:43,040 Speaker 1: all collecting that information. I think they're probably working with 347 00:17:43,160 --> 00:17:45,439 Speaker 1: the standardized framework. And because they have been in the 348 00:17:45,520 --> 00:17:48,000 Speaker 1: industry for quite a world. Our CS has been doing 349 00:17:48,040 --> 00:17:51,159 Speaker 1: this for fairly long time. They know the kind of 350 00:17:51,200 --> 00:17:55,119 Speaker 1: red flags that wouldn't matter for most utility companies or 351 00:17:55,160 --> 00:17:59,600 Speaker 1: electric vehicle companies. They have the high level framework. Like 352 00:17:59,720 --> 00:18:02,280 Speaker 1: like said, we don't want human rights ap uses. Those 353 00:18:02,280 --> 00:18:04,840 Speaker 1: are high level questions. We don't want children. There's are 354 00:18:04,880 --> 00:18:07,639 Speaker 1: high level questions. But I think what these third party 355 00:18:07,680 --> 00:18:09,720 Speaker 1: companies that have been in the game for a while 356 00:18:09,880 --> 00:18:14,960 Speaker 1: understand how to break down these questions into actionable items 357 00:18:15,040 --> 00:18:18,240 Speaker 1: or frameworks that the Monday turn office I can understand. 358 00:18:18,280 --> 00:18:20,240 Speaker 1: But then certainly I'm pretty sure there's a way where 359 00:18:20,240 --> 00:18:23,159 Speaker 1: they can amend it or be flexible whether to ensure 360 00:18:23,200 --> 00:18:26,240 Speaker 1: that the capture your specific needs. Are there a lot 361 00:18:26,240 --> 00:18:30,560 Speaker 1: of these businesses, so I think it's an imagined area. 362 00:18:30,840 --> 00:18:33,520 Speaker 1: I know in terms of blockchain, I know the tracker 363 00:18:33,840 --> 00:18:37,320 Speaker 1: by Anglo America that that's something similar. But then from 364 00:18:37,320 --> 00:18:40,240 Speaker 1: the online perspective, I know this mind Spider base out 365 00:18:40,240 --> 00:18:42,960 Speaker 1: of Germany that is working with Vido w and other companies. 366 00:18:43,000 --> 00:18:46,680 Speaker 1: It's a pretty cool name mind Spider. They just spread 367 00:18:46,680 --> 00:18:50,879 Speaker 1: out the web every mind he's saying the note that 368 00:18:51,160 --> 00:18:53,760 Speaker 1: a lot of cobalt comes from as a byproduct of 369 00:18:54,080 --> 00:18:57,280 Speaker 1: copper production. Right, that makes me wonder, like, why why 370 00:18:57,280 --> 00:18:59,400 Speaker 1: does Chile I not have a bunch of cobalt. That's 371 00:18:59,400 --> 00:19:02,520 Speaker 1: about the moment. About fifty six percent of global production 372 00:19:02,640 --> 00:19:06,240 Speaker 1: come from copper minds and the remaining come from nickel 373 00:19:06,320 --> 00:19:09,199 Speaker 1: mind And I must add only one mind in the 374 00:19:09,240 --> 00:19:12,639 Speaker 1: world commonly produced cobalts as a primary product, and that 375 00:19:12,760 --> 00:19:15,200 Speaker 1: is in Morocco. So back to your question of why 376 00:19:15,280 --> 00:19:17,920 Speaker 1: Chile doesn't have so, it's just it's probably a gift 377 00:19:17,960 --> 00:19:21,280 Speaker 1: of Nata. We have this deposit called the copper belt. 378 00:19:21,960 --> 00:19:24,560 Speaker 1: And if I'm about to go a little bit geology's 379 00:19:24,760 --> 00:19:28,879 Speaker 1: hydrothermal deposits that comes with heaps of so it's just 380 00:19:28,920 --> 00:19:33,280 Speaker 1: the way historic geological processes came about. So the nature 381 00:19:33,280 --> 00:19:35,440 Speaker 1: of the copper deposits in what we call the Copal 382 00:19:35,880 --> 00:19:39,240 Speaker 1: copper belts, which stretches from Zambia through the d r 383 00:19:39,359 --> 00:19:42,800 Speaker 1: C and into a little bit of Uganda, is that 384 00:19:43,200 --> 00:19:47,280 Speaker 1: it comes with these high pressure commodities like cobalts in 385 00:19:47,320 --> 00:19:50,880 Speaker 1: this instance. Yeah, but historically there has been a cobalt 386 00:19:50,920 --> 00:19:54,200 Speaker 1: mine in Chile. Yeah, I think about a hundred fifty 387 00:19:54,280 --> 00:19:58,080 Speaker 1: years ago, so quite recently they have gone back to 388 00:19:58,119 --> 00:20:01,359 Speaker 1: these mines. I think there's a company that is currently 389 00:20:01,680 --> 00:20:06,120 Speaker 1: looking into reviving this particular cobalt mine, and it could 390 00:20:06,119 --> 00:20:09,359 Speaker 1: be what we call the resource case that we probably 391 00:20:09,359 --> 00:20:12,680 Speaker 1: have one commodity which is big, you tend to forget 392 00:20:13,160 --> 00:20:15,160 Speaker 1: or not even think about the fact that you could 393 00:20:15,160 --> 00:20:18,200 Speaker 1: have other stuff around the corner. So I think Chile 394 00:20:18,400 --> 00:20:21,320 Speaker 1: is coming to the realization. You'd expect Indonesia as well, 395 00:20:21,359 --> 00:20:24,000 Speaker 1: maybe with the nickel mining, So Indonesia is also another 396 00:20:24,359 --> 00:20:28,720 Speaker 1: future market. We expect about four to five thousand metric 397 00:20:28,760 --> 00:20:32,640 Speaker 1: tones of production to come from Indonesia from by productive 398 00:20:32,680 --> 00:20:35,960 Speaker 1: the nickel mince over the next five to six years, 399 00:20:36,320 --> 00:20:39,639 Speaker 1: so it would not necessarily be a market leader, but 400 00:20:39,680 --> 00:20:42,879 Speaker 1: then I think within the coal market, five thousand metric 401 00:20:42,920 --> 00:20:48,320 Speaker 1: tones is pretty solid number. Bloomberginny F is a service 402 00:20:48,320 --> 00:20:51,360 Speaker 1: provided by Bloomberg Finance LP and its affiliates. This recording 403 00:20:51,359 --> 00:20:54,600 Speaker 1: does not constitute, nor should it be construed as investment advice, 404 00:20:54,720 --> 00:20:58,240 Speaker 1: investment recommendations, or a recommendation as to an investment or 405 00:20:58,280 --> 00:21:01,840 Speaker 1: other strategy. BLOOMBERGUNNA should not be considered as information sufficient 406 00:21:01,920 --> 00:21:05,360 Speaker 1: upon which to base an investment decision. Neither Bloomberg Finance LP, 407 00:21:05,600 --> 00:21:08,800 Speaker 1: nor any of its affiliates makes any representation or warranty 408 00:21:08,880 --> 00:21:11,800 Speaker 1: as to the accuracy or completeness of the information contained 409 00:21:11,800 --> 00:21:14,200 Speaker 1: in this recording, and any liability as a result of 410 00:21:14,240 --> 00:21:15,880 Speaker 1: this recording is expressly disclaimed