1 00:00:00,600 --> 00:00:05,600 Speaker 1: Welcome to zero. I'm Akshatrati this week, luck, location and 2 00:00:05,760 --> 00:00:23,160 Speaker 1: lots of risk. Last year, venture capital firms invested seventy 3 00:00:23,239 --> 00:00:26,920 Speaker 1: billion dollars into climate tech globally, and a lot of 4 00:00:26,920 --> 00:00:31,160 Speaker 1: that money came from one place, Silicon Valley. But how 5 00:00:31,160 --> 00:00:34,160 Speaker 1: did a place better known for investing in social media 6 00:00:34,240 --> 00:00:38,559 Speaker 1: and silly internet companies start investing in heart tech designed 7 00:00:38,560 --> 00:00:42,120 Speaker 1: to solve real world problems. That's what we are going 8 00:00:42,159 --> 00:00:45,040 Speaker 1: to talk about today with my guest, the painter Saluja. 9 00:00:45,479 --> 00:00:48,800 Speaker 1: He's one of Silicon Valley's early venture capitalists and a 10 00:00:48,880 --> 00:00:50,520 Speaker 1: veteran climate tech investor. 11 00:00:51,240 --> 00:00:57,160 Speaker 2: Transforming energy is probably the biggest opportunity in the history 12 00:00:57,160 --> 00:01:04,280 Speaker 2: of the world. I think in testing for financial returns 13 00:01:05,040 --> 00:01:09,240 Speaker 2: and social good is not only possible, I think it's 14 00:01:09,319 --> 00:01:11,240 Speaker 2: easier to do than not. 15 00:01:12,640 --> 00:01:15,199 Speaker 1: The pain there is the managing director of the Capricorn 16 00:01:15,280 --> 00:01:18,760 Speaker 1: Investment Group, which has some nine billion dollars under management. 17 00:01:19,440 --> 00:01:21,280 Speaker 1: The group was created in two thousand and four to 18 00:01:21,319 --> 00:01:25,160 Speaker 1: manage the money of eBay billionaire Jeff's goal. But it's 19 00:01:25,160 --> 00:01:29,640 Speaker 1: not all skulls money anymore. Capricorn's success as impact investors 20 00:01:29,959 --> 00:01:35,240 Speaker 1: has attracted money from wealthy families foundations and even institutional investors. 21 00:01:35,640 --> 00:01:38,440 Speaker 1: The pain There made handsome returns on his early bets 22 00:01:38,560 --> 00:01:43,560 Speaker 1: on Tesla, SpaceX and Twitter. He now leads Capricorn's Technology 23 00:01:43,600 --> 00:01:47,520 Speaker 1: Impact Fund, which focuses on climate solutions. Through that fund, 24 00:01:47,560 --> 00:01:51,760 Speaker 1: he is invested in battery recycling company Redwood Materials, electric 25 00:01:51,760 --> 00:01:56,520 Speaker 1: aviation startup Jobe, and even in nuclear fusion through Helion Energy. 26 00:01:56,880 --> 00:01:59,880 Speaker 1: These are not household names yet but could become so 27 00:02:00,360 --> 00:02:03,840 Speaker 1: one day. There are a few people as deeped in 28 00:02:03,960 --> 00:02:06,440 Speaker 1: valley culture as the pain There, so I wanted to 29 00:02:06,520 --> 00:02:09,600 Speaker 1: learn from him about how climate tech got started, why 30 00:02:09,639 --> 00:02:12,959 Speaker 1: he continues to think like an engineer rather than an investor, 31 00:02:13,480 --> 00:02:17,320 Speaker 1: and what responsibilities venture capitalists have for the things they fund. 32 00:02:27,800 --> 00:02:29,200 Speaker 1: Welcome to the show, the pain There. 33 00:02:29,280 --> 00:02:30,480 Speaker 2: Thanks, It's great to be with you. 34 00:02:30,800 --> 00:02:33,080 Speaker 1: Now you've been a VC for a very long time. 35 00:02:33,200 --> 00:02:37,200 Speaker 1: Perhaps we can start by just having your story. How 36 00:02:37,240 --> 00:02:39,960 Speaker 1: did you get into this business? What has kept you here? 37 00:02:40,639 --> 00:02:43,679 Speaker 2: I grew up professionally in here in Silicon Valley, and 38 00:02:43,800 --> 00:02:47,160 Speaker 2: next week we'll be completing thirty five years here and 39 00:02:48,240 --> 00:02:51,480 Speaker 2: came here mainly to study and work in the semi 40 00:02:51,480 --> 00:02:55,560 Speaker 2: conductor industry three decades ago, and it was a lot 41 00:02:55,600 --> 00:02:58,959 Speaker 2: of fun, you know, because it was this exciting period 42 00:02:59,000 --> 00:03:02,960 Speaker 2: where the semi connector industry was getting disaggregated from where 43 00:03:03,960 --> 00:03:07,200 Speaker 2: the only railway to do semiconductors and those days was 44 00:03:07,240 --> 00:03:10,160 Speaker 2: to be part of a vertically integrated company that had 45 00:03:10,200 --> 00:03:12,919 Speaker 2: it all, that had their own design, that had their 46 00:03:12,919 --> 00:03:16,760 Speaker 2: own fabs, that had their own software, their own IP 47 00:03:17,040 --> 00:03:20,680 Speaker 2: and they would build these systems that were very expensive 48 00:03:20,880 --> 00:03:24,359 Speaker 2: and needed a lot of capital, but were changing the world. 49 00:03:25,240 --> 00:03:28,720 Speaker 1: Semiconductors are made with silicon, and they are what computers 50 00:03:28,800 --> 00:03:31,960 Speaker 1: run on. It's that material that gave the region its 51 00:03:32,040 --> 00:03:35,760 Speaker 1: nickname Silicon Valley, the pain that arrived in the Valley, 52 00:03:35,800 --> 00:03:38,160 Speaker 1: and a moment when the people who had started out 53 00:03:38,200 --> 00:03:42,880 Speaker 1: in big semiconductor companies like Texas Instruments and Intel were 54 00:03:42,880 --> 00:03:45,320 Speaker 1: taking their experience and getting creative. 55 00:03:46,240 --> 00:03:49,920 Speaker 2: Anybody with a good idea anywhere could design a product 56 00:03:50,600 --> 00:03:54,120 Speaker 2: and not have to be part of some large institution 57 00:03:54,560 --> 00:03:58,640 Speaker 2: or company, and create a description of what they had 58 00:03:58,640 --> 00:04:03,920 Speaker 2: built in a language and ship that description to a 59 00:04:03,920 --> 00:04:07,400 Speaker 2: fab in most cases in Taiwan at that time and 60 00:04:07,440 --> 00:04:10,280 Speaker 2: even today, and just take that description and put it 61 00:04:10,320 --> 00:04:13,280 Speaker 2: onto silicon, and you would get a silicon chip, and 62 00:04:13,440 --> 00:04:15,360 Speaker 2: you could iterate on it. You could work on it, 63 00:04:15,880 --> 00:04:19,239 Speaker 2: and then you could then take that chip and write 64 00:04:19,240 --> 00:04:21,240 Speaker 2: software on it or build a system out of it, 65 00:04:21,279 --> 00:04:25,440 Speaker 2: and ship it to various parts of the world predominantly 66 00:04:25,480 --> 00:04:28,719 Speaker 2: Asia at that time, and get a full product, you know, 67 00:04:28,720 --> 00:04:31,560 Speaker 2: whether it was a phone or a computer or a 68 00:04:31,600 --> 00:04:36,000 Speaker 2: desktop box or whatever electronic product you wanted. So that 69 00:04:36,120 --> 00:04:38,200 Speaker 2: was a beautiful thing because it really led to the 70 00:04:38,279 --> 00:04:44,280 Speaker 2: explosion of the electronics industry. And as that started exploding, 71 00:04:44,520 --> 00:04:47,680 Speaker 2: you know, we all was starting to think what impact 72 00:04:47,920 --> 00:04:51,000 Speaker 2: were electronics and semi connectors having on the rest of 73 00:04:51,040 --> 00:04:54,680 Speaker 2: the world. You know, we were building technology for technology's sake, 74 00:04:55,000 --> 00:04:57,080 Speaker 2: and that can be a lot of fun. But we 75 00:04:57,120 --> 00:04:59,719 Speaker 2: would look at some of these other industries, like you know, 76 00:05:00,080 --> 00:05:03,039 Speaker 2: I remember in our semiconductor days, for some reason, I 77 00:05:03,040 --> 00:05:06,960 Speaker 2: have no idea why, but people started picking Caterpillar as 78 00:05:06,960 --> 00:05:10,600 Speaker 2: an example as sort of the metaphor for a company 79 00:05:10,640 --> 00:05:13,960 Speaker 2: that had such a large footprint and had made real products. 80 00:05:14,480 --> 00:05:17,919 Speaker 1: But the industrial manufacturer Caterpillar. 81 00:05:17,520 --> 00:05:20,320 Speaker 2: That category right, which was that they were devoid of 82 00:05:21,160 --> 00:05:24,160 Speaker 2: technology as we call technology in Silicon Valley. I have 83 00:05:24,200 --> 00:05:26,200 Speaker 2: no idea why. I mean, I'm sure Caterpillar had a 84 00:05:26,240 --> 00:05:29,760 Speaker 2: bunch of technology in it, but you know, you use 85 00:05:29,839 --> 00:05:32,719 Speaker 2: something for language, and Caterpillar was example. So that whole 86 00:05:32,760 --> 00:05:36,120 Speaker 2: category of these industries that were very large, and I 87 00:05:36,120 --> 00:05:39,160 Speaker 2: would say energy in general could be one industry that 88 00:05:39,279 --> 00:05:44,280 Speaker 2: you know came up, but agriculture, food, healthcare, and transportation. 89 00:05:45,080 --> 00:05:47,599 Speaker 2: You know, thinking through that and thinking about what next 90 00:05:47,839 --> 00:05:51,600 Speaker 2: for my career, I really felt excited about the opportunity 91 00:05:51,640 --> 00:05:55,800 Speaker 2: and energy to make things better, cheaper, faster, But it 92 00:05:55,920 --> 00:06:00,440 Speaker 2: was also representing a very large problem, which was forms 93 00:06:00,440 --> 00:06:04,440 Speaker 2: of energy that we had grown up using were literally 94 00:06:05,000 --> 00:06:07,320 Speaker 2: out of the Stone Age as far as Silicon value 95 00:06:07,400 --> 00:06:10,440 Speaker 2: was concerned. As one of the well known vcs in 96 00:06:10,480 --> 00:06:13,719 Speaker 2: Silicon Value would say, is it's not a good excuse 97 00:06:13,800 --> 00:06:16,480 Speaker 2: to use stones just because there are lots of stones around, right. 98 00:06:16,560 --> 00:06:18,400 Speaker 2: So this was a way to think about getting out 99 00:06:18,440 --> 00:06:21,039 Speaker 2: of the stone age? How do you combine tech with 100 00:06:21,120 --> 00:06:22,560 Speaker 2: some of those energy technologies. 101 00:06:23,000 --> 00:06:25,640 Speaker 1: What I'm hearing you say is that you didn't start 102 00:06:25,680 --> 00:06:29,600 Speaker 1: out as investing in companies that would solve the climate problem. 103 00:06:29,800 --> 00:06:32,880 Speaker 1: You were just looking for companies, energy companies that would 104 00:06:32,960 --> 00:06:35,839 Speaker 1: be better off were they to be able to use 105 00:06:36,360 --> 00:06:39,960 Speaker 1: the value technology coming out in electronics and software. 106 00:06:40,080 --> 00:06:42,680 Speaker 2: Is that right? So your observation is correct that the 107 00:06:42,680 --> 00:06:45,640 Speaker 2: majority of the companies that we've done have been around climate, 108 00:06:45,720 --> 00:06:50,119 Speaker 2: and we've had a thesis around that and have gone 109 00:06:50,279 --> 00:06:55,599 Speaker 2: looking for opportunities that have a positive impact on the 110 00:06:55,600 --> 00:06:59,520 Speaker 2: climate problem. But we haven't been exclusively focused just on that. 111 00:07:00,520 --> 00:07:03,440 Speaker 2: We've done a few things outside of climate. They're all 112 00:07:03,480 --> 00:07:08,400 Speaker 2: in that category of a deep technology problem and deep 113 00:07:08,440 --> 00:07:15,880 Speaker 2: technology solution that improves an industry like energy or transportation, agriculture, food, 114 00:07:16,640 --> 00:07:19,680 Speaker 2: health care, etc. I would say, I don't know, maybe 115 00:07:19,840 --> 00:07:22,680 Speaker 2: seventy eighty percent of what we've done has largely been 116 00:07:22,800 --> 00:07:25,800 Speaker 2: aimed at climate and clean tech or renewables. 117 00:07:26,080 --> 00:07:28,960 Speaker 1: So if you were to distill your investment thesis now 118 00:07:29,360 --> 00:07:32,120 Speaker 1: having done it for a while, or even if you 119 00:07:32,200 --> 00:07:34,720 Speaker 1: want to talk about how your investment thesis might have 120 00:07:34,840 --> 00:07:37,120 Speaker 1: changed over the time, how would you distill that. 121 00:07:37,680 --> 00:07:42,720 Speaker 2: So we're looking for large problems in the world like climate, 122 00:07:43,280 --> 00:07:46,679 Speaker 2: and that is the area of focus right now, and 123 00:07:46,760 --> 00:07:53,360 Speaker 2: then differentiated technologies that move the needle. And one of 124 00:07:53,360 --> 00:07:57,240 Speaker 2: the important things we look at is doing it at 125 00:07:57,360 --> 00:07:59,720 Speaker 2: large scale. Now you hear that all the time, so 126 00:07:59,800 --> 00:08:03,240 Speaker 2: it's question of what does that mean? A great example, 127 00:08:03,720 --> 00:08:07,000 Speaker 2: because we can do it in hindsight as well, is 128 00:08:07,000 --> 00:08:10,440 Speaker 2: is cars. You know, for the longest time, electric cars 129 00:08:10,520 --> 00:08:13,800 Speaker 2: were a bit of a joke. I remember top Gear 130 00:08:13,880 --> 00:08:18,160 Speaker 2: doing videos fifteen seventeen years ago where they would essentially 131 00:08:18,200 --> 00:08:21,480 Speaker 2: make fun of electric cars as being essentially golf cards. 132 00:08:22,040 --> 00:08:24,560 Speaker 2: It was always viewed as this was going to be 133 00:08:24,600 --> 00:08:28,000 Speaker 2: a super niche and it was not something that could 134 00:08:28,080 --> 00:08:30,640 Speaker 2: really compete and do much in the world. 135 00:08:30,920 --> 00:08:34,320 Speaker 3: It's twenty miles back to the garage, and I know 136 00:08:34,600 --> 00:08:36,040 Speaker 3: I'm going to run out of juice and I'm going 137 00:08:36,080 --> 00:08:38,160 Speaker 3: to run out of juice in my Evy one, and 138 00:08:38,240 --> 00:08:40,319 Speaker 3: the gangs in Los Angeles would get me and company 139 00:08:40,360 --> 00:08:41,480 Speaker 3: of me into little places. 140 00:08:42,360 --> 00:08:45,440 Speaker 2: We all in Silicon Valley knew that automotive was the 141 00:08:45,440 --> 00:08:48,360 Speaker 2: industry you stayed away from because it was just the 142 00:08:48,400 --> 00:08:50,280 Speaker 2: opposite of what we were used to hear from a 143 00:08:50,280 --> 00:08:53,840 Speaker 2: speed point of view, from a profitability point of view. 144 00:08:53,880 --> 00:08:56,080 Speaker 2: I used to joke at that time, the one thing 145 00:08:56,160 --> 00:08:58,880 Speaker 2: you have in common with startups and automotive is they're 146 00:08:58,880 --> 00:09:01,400 Speaker 2: both losing money all the time, right, So that's something 147 00:09:01,440 --> 00:09:04,520 Speaker 2: we knew that you're constantly on this edge of bankruptcy, right. 148 00:09:04,559 --> 00:09:06,960 Speaker 1: And you were an early investor in Tesla. So what 149 00:09:07,080 --> 00:09:09,480 Speaker 1: convinced you at that time to bet on it? 150 00:09:09,480 --> 00:09:11,880 Speaker 2: It was simple science and math, right for all of 151 00:09:11,960 --> 00:09:15,800 Speaker 2: us who've been electrical engineers or electrochemical engineers. The math 152 00:09:15,880 --> 00:09:21,079 Speaker 2: was pretty clear that the way power electronics was evolving 153 00:09:21,240 --> 00:09:24,680 Speaker 2: and the way batteries were evolving. At that point in time, 154 00:09:24,760 --> 00:09:29,240 Speaker 2: lithium ion batteries had started making their moves out of 155 00:09:29,280 --> 00:09:32,240 Speaker 2: the power tools industry that they had originally been developed 156 00:09:32,240 --> 00:09:35,760 Speaker 2: for into consumer electronics. At that time, our laptops had 157 00:09:35,800 --> 00:09:38,480 Speaker 2: started getting litheumine batteries. 158 00:09:38,080 --> 00:09:40,880 Speaker 1: Yeah, moving on from nickel cadmium match right exactly. 159 00:09:40,920 --> 00:09:43,480 Speaker 2: And so when you looked at those curves and where 160 00:09:43,480 --> 00:09:46,840 Speaker 2: they were headed, and you applied even just a little 161 00:09:46,880 --> 00:09:49,600 Speaker 2: bit of Moore's law to all of that, you could 162 00:09:49,600 --> 00:09:51,439 Speaker 2: see that those would converge. 163 00:09:51,840 --> 00:09:55,280 Speaker 1: Very nicely named after Gordon Moore, one of the founders 164 00:09:55,320 --> 00:09:58,280 Speaker 1: of Intel, More wrote a paper in nineteen sixty five 165 00:09:58,760 --> 00:10:01,480 Speaker 1: noticing that the amount transistors you could put on a 166 00:10:01,559 --> 00:10:05,480 Speaker 1: chip doubled roughly every two years, and he depicted that 167 00:10:05,640 --> 00:10:08,640 Speaker 1: on a curve continuing for the next ten years. 168 00:10:08,880 --> 00:10:12,680 Speaker 4: That was a wild extrapolation of very little data, and 169 00:10:13,240 --> 00:10:17,800 Speaker 4: amazingly enough that ten doublings in complexity that I predicted 170 00:10:18,280 --> 00:10:21,600 Speaker 4: turned out to be nine doublings actually pretty close. 171 00:10:21,480 --> 00:10:24,920 Speaker 1: A remarkable enough prediction that people still reference it today. 172 00:10:25,440 --> 00:10:27,720 Speaker 4: It got the name Moore's law, which is stuck there 173 00:10:27,760 --> 00:10:30,200 Speaker 4: everything that changes exponentially ever since. 174 00:10:31,360 --> 00:10:33,600 Speaker 1: And back in two thousand and six, the pain there 175 00:10:33,720 --> 00:10:37,000 Speaker 1: after coming up in the semiconductor industry, where this curve 176 00:10:37,320 --> 00:10:40,560 Speaker 1: was well known, looked at lithiumine batteries in laptops and 177 00:10:40,640 --> 00:10:43,440 Speaker 1: thought there could be a similar curve to drive down 178 00:10:43,440 --> 00:10:46,960 Speaker 1: the price of lithemine batteries if you could just make 179 00:10:47,280 --> 00:10:48,520 Speaker 1: enough of those cells. 180 00:10:49,679 --> 00:10:52,559 Speaker 2: If I remember correctly, HP and IBM were like the 181 00:10:52,640 --> 00:10:56,880 Speaker 2: leaders in the laptop business, and the entire capacity that 182 00:10:56,920 --> 00:10:59,440 Speaker 2: they were using was probably good for a few thousand 183 00:10:59,720 --> 00:11:02,000 Speaker 2: tests less at that time, right, because you were going 184 00:11:02,040 --> 00:11:05,400 Speaker 2: to replace a device that needed nine cells with a 185 00:11:05,480 --> 00:11:09,280 Speaker 2: device that needed six thousand cells. Let's say, looking at 186 00:11:09,320 --> 00:11:14,720 Speaker 2: it from this high technology side, a software problem or 187 00:11:14,720 --> 00:11:18,800 Speaker 2: a semi connector problem. To one person from one vantage point, 188 00:11:19,040 --> 00:11:22,000 Speaker 2: working with six thousand of something can be a huge 189 00:11:22,120 --> 00:11:26,520 Speaker 2: problem or can be a huge obstacle. But to a 190 00:11:26,559 --> 00:11:31,040 Speaker 2: simple computer, whether it's six thousand or four, it's nothing. Right. 191 00:11:31,080 --> 00:11:34,760 Speaker 2: I mean, you can handle millions of decisions in a second, 192 00:11:35,200 --> 00:11:39,160 Speaker 2: trillions of decisions, and so that was hardly a problem. 193 00:11:39,440 --> 00:11:44,880 Speaker 2: And just bringing that thinking from two different industries has 194 00:11:44,960 --> 00:11:47,880 Speaker 2: made such a big impact. And it sounds simple now, 195 00:11:48,240 --> 00:11:51,679 Speaker 2: but the whole world at that time was obsessed with 196 00:11:52,080 --> 00:11:54,480 Speaker 2: how do you get away with the smallest battery possible? 197 00:11:55,160 --> 00:11:57,400 Speaker 2: And along came this company that said, how do you 198 00:11:57,400 --> 00:12:00,400 Speaker 2: build the biggest battery possible that you can fit into 199 00:12:00,400 --> 00:12:03,240 Speaker 2: a car? And people said, you're crazy. That's the toughest, 200 00:12:03,280 --> 00:12:07,160 Speaker 2: most expensive part of it. Why aren't you building the smallest. Well, 201 00:12:07,200 --> 00:12:10,440 Speaker 2: it's very simple. If you have a bigger battery, you 202 00:12:10,600 --> 00:12:13,560 Speaker 2: end up with, let's say generously at that time, a 203 00:12:13,559 --> 00:12:17,199 Speaker 2: couple of hundred miles of range instead of forty miles 204 00:12:17,200 --> 00:12:20,679 Speaker 2: of range, which means every time you cycle a battery 205 00:12:21,320 --> 00:12:24,640 Speaker 2: you get two hundred miles instead of forty miles, which 206 00:12:24,720 --> 00:12:28,040 Speaker 2: means a number of times you cycle those cells is 207 00:12:28,200 --> 00:12:31,400 Speaker 2: five or six times less than the smaller battery. And 208 00:12:31,440 --> 00:12:34,080 Speaker 2: you've solved for a big part of the problem, which 209 00:12:34,080 --> 00:12:34,839 Speaker 2: is cycle life. 210 00:12:35,559 --> 00:12:38,960 Speaker 1: It's something we've all experienced. A new phone battery just 211 00:12:39,000 --> 00:12:42,000 Speaker 1: doesn't provide the same level of charge two years later. 212 00:12:42,559 --> 00:12:47,320 Speaker 1: That's because lithiumon batteries are complex chemical boxes where small 213 00:12:47,320 --> 00:12:50,600 Speaker 1: things keep going wrong every time you charge the battery. 214 00:12:51,160 --> 00:12:54,240 Speaker 1: Teslas solution was to build a bigger battery with many 215 00:12:54,240 --> 00:12:55,640 Speaker 1: individual cells in it. 216 00:12:56,840 --> 00:13:01,400 Speaker 2: You have a much better way of managing the pack. 217 00:13:01,960 --> 00:13:05,160 Speaker 2: If a couple of cells out of a forty mile 218 00:13:05,240 --> 00:13:08,760 Speaker 2: battery go out of whack versus a three hundred mile battery, 219 00:13:08,760 --> 00:13:12,320 Speaker 2: gotto whac, it's a non event. And these problems were 220 00:13:12,320 --> 00:13:16,040 Speaker 2: not even considered because the fundamentals of how do you 221 00:13:16,080 --> 00:13:21,120 Speaker 2: deal with six thousand components was like an obstacle. Right. 222 00:13:21,240 --> 00:13:25,440 Speaker 1: Many of your recent investments are in the space of 223 00:13:25,480 --> 00:13:29,360 Speaker 1: electric aviation, are in nuclear fusion. Now. Both of those 224 00:13:29,520 --> 00:13:34,720 Speaker 1: technologies so to speak, aren't in the scaling decarbonization now moment. 225 00:13:34,880 --> 00:13:37,960 Speaker 1: They are ten, twenty, maybe thirty. I mean, fusion has 226 00:13:38,000 --> 00:13:41,280 Speaker 1: been talked about for so long, but you think because 227 00:13:41,320 --> 00:13:45,000 Speaker 1: they are better products. An electric plane would be a 228 00:13:45,000 --> 00:13:48,560 Speaker 1: better product. Nuclear fusion would give us infinite power forever, 229 00:13:49,480 --> 00:13:52,800 Speaker 1: and they also happen to have decarbonization. That it's a 230 00:13:52,800 --> 00:13:54,400 Speaker 1: good bet to make. Is that fair? 231 00:13:54,960 --> 00:13:59,240 Speaker 2: You know, our role is as investors is to invest 232 00:14:00,240 --> 00:14:06,040 Speaker 2: in things that are significantly better that are solving a 233 00:14:06,120 --> 00:14:09,800 Speaker 2: problem that has not been solved, that are riskier, I 234 00:14:09,800 --> 00:14:13,320 Speaker 2: mean to some extent. You know, risk is always considered 235 00:14:13,320 --> 00:14:17,320 Speaker 2: a bad word. Everybody wants to avoid risk. For venture 236 00:14:17,400 --> 00:14:21,120 Speaker 2: the role really is to invest in those risky companies. 237 00:14:21,120 --> 00:14:24,360 Speaker 2: In fact, as odd as it sounds, there's a problem 238 00:14:24,440 --> 00:14:26,680 Speaker 2: if you're not taking enough risk, because then you're not 239 00:14:26,760 --> 00:14:30,200 Speaker 2: solving an important enough problem or a problem that deserves 240 00:14:30,200 --> 00:14:33,360 Speaker 2: to be solved, or that really deserves this kind of capital. 241 00:14:33,400 --> 00:14:35,240 Speaker 2: The role of this capital is to solve that kind 242 00:14:35,280 --> 00:14:38,960 Speaker 2: of risk, and it's reflected in the returns that are 243 00:14:38,960 --> 00:14:41,240 Speaker 2: expected from this capital as well. You know this is 244 00:14:41,680 --> 00:14:44,680 Speaker 2: it's you've got to return a lot to keep up 245 00:14:44,720 --> 00:14:48,520 Speaker 2: with the expectation of the SASSA classes, So you need 246 00:14:48,600 --> 00:14:54,520 Speaker 2: some risky media ideas. Transforming energy is probably the biggest 247 00:14:54,520 --> 00:14:59,360 Speaker 2: opportunity in the history of the world. I think investing 248 00:15:00,160 --> 00:15:07,000 Speaker 2: for financial returns and social good is not only possible, 249 00:15:07,320 --> 00:15:10,560 Speaker 2: I think it's easier to do than not. And that 250 00:15:10,600 --> 00:15:15,320 Speaker 2: one to me means more in energy because one of 251 00:15:15,360 --> 00:15:17,440 Speaker 2: the things in venture capital that people have not asked 252 00:15:17,560 --> 00:15:23,400 Speaker 2: is like, is it possible to invest in things that 253 00:15:23,440 --> 00:15:26,120 Speaker 2: are profitable and do good for the world. I find 254 00:15:26,160 --> 00:15:33,080 Speaker 2: it harder to pick things to invest in which really 255 00:15:33,120 --> 00:15:36,680 Speaker 2: have no obvious good for the world. I mean, to 256 00:15:36,720 --> 00:15:39,160 Speaker 2: be able to look into a crystal ball and say, 257 00:15:39,200 --> 00:15:41,840 Speaker 2: you know, selling pet food on the internet is going 258 00:15:41,920 --> 00:15:43,800 Speaker 2: to be a big deal, it would be very hard 259 00:15:43,840 --> 00:15:46,560 Speaker 2: for me to do. But on the other hand, if 260 00:15:46,600 --> 00:15:50,120 Speaker 2: I look at what are the big challenges in the world, 261 00:15:50,720 --> 00:15:53,000 Speaker 2: what are the kinds of things that the world can't 262 00:15:53,000 --> 00:15:57,400 Speaker 2: do without, and if I can find a company to 263 00:15:57,480 --> 00:16:00,960 Speaker 2: build that addresses that, that to me is like actually 264 00:16:01,040 --> 00:16:01,640 Speaker 2: quite easy. 265 00:16:06,040 --> 00:16:08,280 Speaker 1: After the break, we talk about what the pain there 266 00:16:08,280 --> 00:16:11,400 Speaker 1: has learned from past failures and the investments he thinks 267 00:16:11,440 --> 00:16:23,400 Speaker 1: are going to change the world. The pin there and 268 00:16:23,440 --> 00:16:25,680 Speaker 1: I grew up in India. It's a country that has 269 00:16:25,880 --> 00:16:29,360 Speaker 1: massive potential for scaling clean technology, but it's been hard 270 00:16:29,360 --> 00:16:32,040 Speaker 1: to unlock. I wanted to know how the painter thinks 271 00:16:32,040 --> 00:16:34,960 Speaker 1: about the challenge of getting innovation from one part of 272 00:16:35,000 --> 00:16:36,200 Speaker 1: the world to another. 273 00:16:36,760 --> 00:16:39,480 Speaker 2: So, I mean, this is one of those interesting problems 274 00:16:39,520 --> 00:16:41,360 Speaker 2: where if you just solve it in one area of 275 00:16:41,400 --> 00:16:42,960 Speaker 2: the world, it's not going to make a difference, right. 276 00:16:43,000 --> 00:16:44,680 Speaker 2: It's also not a reason to not solve it in 277 00:16:44,680 --> 00:16:46,320 Speaker 2: one area of the world. You just have to solve 278 00:16:46,320 --> 00:16:50,960 Speaker 2: it in as many areas as quickly and as well 279 00:16:51,000 --> 00:16:55,680 Speaker 2: as possible. You don't ignore the most populous countries in 280 00:16:55,720 --> 00:17:00,360 Speaker 2: the world because by definition, that's where the consumption is 281 00:17:00,440 --> 00:17:01,200 Speaker 2: going to be. 282 00:17:01,600 --> 00:17:03,880 Speaker 1: That's where the impact is, that's where you could make money. 283 00:17:04,040 --> 00:17:06,679 Speaker 2: That's right. And there's a really cool graph that I 284 00:17:06,760 --> 00:17:08,840 Speaker 2: used to use fifteen years ago in the early years 285 00:17:08,880 --> 00:17:12,040 Speaker 2: of when we were evangelizing this, which is a graph 286 00:17:12,200 --> 00:17:17,800 Speaker 2: of progress and energy consumption. It plots the countries that 287 00:17:17,880 --> 00:17:22,080 Speaker 2: are well recognized in the modern definition of industrial progress, 288 00:17:22,520 --> 00:17:27,840 Speaker 2: like per capita GDP and their per capita emission. You 289 00:17:27,960 --> 00:17:29,720 Speaker 2: learn a lot from there. One thing you learn is 290 00:17:30,119 --> 00:17:33,359 Speaker 2: all progress was proportional with energy over time, and you 291 00:17:33,400 --> 00:17:36,560 Speaker 2: look at the time curve. There's no mystery there. You 292 00:17:36,640 --> 00:17:39,840 Speaker 2: produced more if you had more energy, and that remains 293 00:17:39,920 --> 00:17:44,120 Speaker 2: true today. Obviously, the good news from those graphs is 294 00:17:44,240 --> 00:17:50,520 Speaker 2: because some of those populated regions couldn't afford it, their 295 00:17:50,560 --> 00:17:55,320 Speaker 2: per capita consumption has remained low. But what's clear is 296 00:17:55,400 --> 00:17:58,080 Speaker 2: if they take the same path, that's going to be 297 00:17:58,840 --> 00:18:01,520 Speaker 2: a disaster for a variety of reasons. 298 00:18:01,920 --> 00:18:04,320 Speaker 1: Right, there's a goal versus solar for a. 299 00:18:04,320 --> 00:18:08,800 Speaker 2: Very clear example, right, we've gone from conversations ten years 300 00:18:08,840 --> 00:18:12,439 Speaker 2: ago which was complaining about how the cleaner way, the 301 00:18:12,440 --> 00:18:14,960 Speaker 2: better way, was more expensive and that it was a 302 00:18:15,000 --> 00:18:20,800 Speaker 2: burden on a bunch of communities and countries to have 303 00:18:20,880 --> 00:18:23,480 Speaker 2: to take that path of cleaner energy because it was 304 00:18:23,520 --> 00:18:27,359 Speaker 2: more expensive while the rest of the world had prospered 305 00:18:27,400 --> 00:18:32,119 Speaker 2: and developed through cheaper energy which was not as clean 306 00:18:32,640 --> 00:18:36,879 Speaker 2: to now today, ten years later, where those cleaner options 307 00:18:36,920 --> 00:18:41,240 Speaker 2: are actually cheaper to your example, solar versus goal almost 308 00:18:41,440 --> 00:18:44,040 Speaker 2: anywhere in that part of the world. If you're building 309 00:18:44,040 --> 00:18:45,679 Speaker 2: it today, it's going to be much cheaper if you 310 00:18:45,680 --> 00:18:48,200 Speaker 2: build a solar power plant. Yeah, So then it comes 311 00:18:48,240 --> 00:18:54,200 Speaker 2: down to what's the right focus. Obviously, we would all 312 00:18:54,320 --> 00:18:57,040 Speaker 2: love for innovation to happen everywhere in the world, and 313 00:18:57,080 --> 00:19:02,680 Speaker 2: innovation is not anybody's birthright or exclusivity, right, and innovation 314 00:19:02,800 --> 00:19:06,560 Speaker 2: comes from all over, But you can't ignore the fact 315 00:19:06,640 --> 00:19:08,800 Speaker 2: that there are certain regions in the world where innovation 316 00:19:08,960 --> 00:19:16,120 Speaker 2: happens faster and comes to fruition better. And definitely here 317 00:19:16,640 --> 00:19:18,960 Speaker 2: in these four or five zip codes around where we 318 00:19:19,000 --> 00:19:22,879 Speaker 2: are sitting today, that innovation has come a lot more, 319 00:19:23,160 --> 00:19:28,560 Speaker 2: but deployment is not limited by any means to hear. 320 00:19:28,640 --> 00:19:31,360 Speaker 2: In fact, if anything, there's very little deployment. In fact, 321 00:19:31,440 --> 00:19:34,399 Speaker 2: one of the big complaints of this region is that 322 00:19:34,480 --> 00:19:36,760 Speaker 2: all this innovation happens and then when it comes to 323 00:19:36,800 --> 00:19:41,119 Speaker 2: scaling and manufacturing, people leave. I think the short answer 324 00:19:41,200 --> 00:19:43,800 Speaker 2: to your question would be, we have to focus on 325 00:19:43,840 --> 00:19:50,159 Speaker 2: deployment to begin with, and deployment is something all of 326 00:19:50,200 --> 00:19:53,840 Speaker 2: these technologies and companies that create them crave for. I 327 00:19:53,880 --> 00:19:56,119 Speaker 2: know there's a lot of interest in solving that, and 328 00:19:56,160 --> 00:19:59,600 Speaker 2: I think something like that would move the needle a 329 00:19:59,640 --> 00:20:02,400 Speaker 2: lot further in the bigger scheme of things than necessarily 330 00:20:02,400 --> 00:20:06,399 Speaker 2: trying to to just say how do we replicate Silicon Valley? 331 00:20:06,880 --> 00:20:10,720 Speaker 2: But I don't find enough going on yet to say 332 00:20:10,760 --> 00:20:13,600 Speaker 2: how do we do the simpler stuff, which is enable 333 00:20:13,880 --> 00:20:18,600 Speaker 2: cheap capital to flow from parts of the world where 334 00:20:18,840 --> 00:20:21,760 Speaker 2: chief capital is plentiful to parts of the world where 335 00:20:21,800 --> 00:20:24,359 Speaker 2: that chief capital can be put to work to deploy 336 00:20:24,440 --> 00:20:26,440 Speaker 2: some of these forms of energy. 337 00:20:27,520 --> 00:20:31,080 Speaker 1: The high cost of capital, or put crudely, high interest rates, 338 00:20:31,400 --> 00:20:35,520 Speaker 1: is a big problem across developing countries for financing clean energy. 339 00:20:35,880 --> 00:20:38,359 Speaker 1: It's something we talked about in our episode with Rebecca 340 00:20:38,400 --> 00:20:41,960 Speaker 1: Shirley from the World Resources Institute and mark their d'op 341 00:20:42,280 --> 00:20:46,560 Speaker 1: of the International Finance Corporation during COP twenty seven in Egypt. 342 00:20:46,920 --> 00:20:49,639 Speaker 1: We'll link the episode in the show notes. The issue 343 00:20:49,680 --> 00:20:51,880 Speaker 1: will come up again in a big meeting in Paris 344 00:20:51,920 --> 00:20:55,359 Speaker 1: in June, when Barbados Prime Minister Mia Mottley and French 345 00:20:55,400 --> 00:20:59,680 Speaker 1: President Emmanuel Macron bring together world leaders to discuss how 346 00:20:59,720 --> 00:21:03,040 Speaker 1: to form the global financial system to solve problems of 347 00:21:03,040 --> 00:21:05,960 Speaker 1: the twenty first century, including climate change. 348 00:21:07,800 --> 00:21:10,879 Speaker 2: But at the same time, I also don't feel bad 349 00:21:10,920 --> 00:21:15,040 Speaker 2: about the fact that focusing on innovation where it's happening 350 00:21:15,080 --> 00:21:20,280 Speaker 2: well is not wasted because that innovation, when you are 351 00:21:20,480 --> 00:21:24,520 Speaker 2: building forms of energy, it's a lot more applicable to 352 00:21:24,560 --> 00:21:27,720 Speaker 2: global markets than something, let's say that would be in 353 00:21:27,760 --> 00:21:30,960 Speaker 2: fashion or even food for that matter. Right, energy is 354 00:21:31,000 --> 00:21:36,000 Speaker 2: pretty universal, so all the advancements in solar have pretty 355 00:21:36,080 --> 00:21:39,440 Speaker 2: much gone global. All the advancements in batteries have gone 356 00:21:39,440 --> 00:21:42,680 Speaker 2: global and will continue going global. It's just tipping points 357 00:21:43,000 --> 00:21:45,760 Speaker 2: at different states. So I don't see anything in our 358 00:21:46,440 --> 00:21:50,879 Speaker 2: fifty sixty companies that we've done over the last decade 359 00:21:50,920 --> 00:21:54,680 Speaker 2: and a half that are exclusive to just one geography 360 00:21:55,119 --> 00:21:57,719 Speaker 2: or the global North or global South. I think they 361 00:21:57,720 --> 00:22:00,400 Speaker 2: will get everywhere, and we want them to get it everywhere. 362 00:22:00,440 --> 00:22:02,840 Speaker 2: I mean, talk about our new exciting companies. Well, not 363 00:22:02,880 --> 00:22:05,960 Speaker 2: so new as Redwood Materials, the battery recycling company. Yes, 364 00:22:05,960 --> 00:22:10,760 Speaker 2: it started, you know in California and Nevada, but it 365 00:22:10,840 --> 00:22:14,280 Speaker 2: is one of the biggest looming problems and opportunities in 366 00:22:14,320 --> 00:22:18,360 Speaker 2: the world. Batteries are consumed everywhere, Electronics are consumed everywhere. 367 00:22:18,760 --> 00:22:23,800 Speaker 2: Today they're shipped to get recycled and taken care of. 368 00:22:24,359 --> 00:22:27,080 Speaker 2: In the future, they will be recycled where they are 369 00:22:27,119 --> 00:22:30,360 Speaker 2: and redeployed everywhere, right, and it will be a very 370 00:22:30,440 --> 00:22:33,880 Speaker 2: large industry around the world. It won't be just limited 371 00:22:33,920 --> 00:22:35,880 Speaker 2: to where it was developed or invented. 372 00:22:36,000 --> 00:22:39,480 Speaker 1: There is a view of venture capital which fair and fair, 373 00:22:39,680 --> 00:22:42,520 Speaker 1: you can decide, but they've bet on companies that have 374 00:22:42,600 --> 00:22:45,679 Speaker 1: also caused more problems than they've solved them. Take the 375 00:22:45,840 --> 00:22:49,320 Speaker 1: troubles that Facebook is going through over democracy issues or 376 00:22:49,400 --> 00:22:53,280 Speaker 1: freedom of speech, or Twitter, which is facing similar problems 377 00:22:53,320 --> 00:22:57,040 Speaker 1: in parts like India. When you think about venture capital, 378 00:22:57,119 --> 00:22:59,480 Speaker 1: what is it that is doing well and where is 379 00:22:59,480 --> 00:22:59,920 Speaker 1: it feeling? 380 00:23:00,840 --> 00:23:04,800 Speaker 2: So I would say, you know, venture capital has been 381 00:23:04,960 --> 00:23:09,639 Speaker 2: just such an amazing tool in creating the essence of 382 00:23:09,640 --> 00:23:13,479 Speaker 2: what silicon value is. You know, everybody's obsessed with replicating this, 383 00:23:14,359 --> 00:23:17,719 Speaker 2: and one of those critical ingredients for that perfect storm 384 00:23:17,920 --> 00:23:21,439 Speaker 2: is venture capital. And it's that mindset that venture capital 385 00:23:21,440 --> 00:23:25,920 Speaker 2: comes from. Now, having said that, there are very few rules, 386 00:23:26,600 --> 00:23:30,960 Speaker 2: so I can't paint it with one broad brush, but 387 00:23:31,640 --> 00:23:34,159 Speaker 2: the aspects that are common is it is, at the 388 00:23:34,280 --> 00:23:39,520 Speaker 2: end of the day, about investing in very very early ideas, 389 00:23:39,680 --> 00:23:43,919 Speaker 2: to take very high risk and to go after you know, 390 00:23:43,960 --> 00:23:46,680 Speaker 2: making sure that these companies can come to life. Now, 391 00:23:46,720 --> 00:23:49,960 Speaker 2: I would say that at that stage of the company, 392 00:23:50,000 --> 00:23:55,560 Speaker 2: you're not thinking about what problems could it create fifteen 393 00:23:55,640 --> 00:23:59,040 Speaker 2: years from now. We've not observed any discussion where people 394 00:23:59,040 --> 00:24:00,919 Speaker 2: sit around and say, you know what, this product's going 395 00:24:01,000 --> 00:24:06,400 Speaker 2: to really go stir the part in the political hallways 396 00:24:06,440 --> 00:24:08,280 Speaker 2: of the world, right, I mean it's like, in fact, 397 00:24:08,359 --> 00:24:14,000 Speaker 2: if anything, the initial reactions to this was kind of ridiculed, right, 398 00:24:14,040 --> 00:24:17,200 Speaker 2: I mean, initially these were pretty simple ideas of sorts, Right, 399 00:24:17,240 --> 00:24:19,720 Speaker 2: they were like, hey, maybe this is just a nice 400 00:24:19,760 --> 00:24:22,320 Speaker 2: bite sized way of communicating. So who would have thought. 401 00:24:22,800 --> 00:24:28,119 Speaker 2: So whether everybody comes out and says, let's simulate every 402 00:24:28,200 --> 00:24:31,119 Speaker 2: possible outcome and try to avoid something I think that 403 00:24:31,160 --> 00:24:33,840 Speaker 2: would kill the innovation, right. I mean, that's the responsibility 404 00:24:34,480 --> 00:24:37,680 Speaker 2: that you can't put on anybody right now. Fifteen years 405 00:24:37,680 --> 00:24:39,880 Speaker 2: down the road, when a company evolved into something, yes, 406 00:24:40,000 --> 00:24:42,280 Speaker 2: of course people have to think about it and say 407 00:24:42,320 --> 00:24:44,360 Speaker 2: how do you do it? By then it's well out 408 00:24:44,400 --> 00:24:45,280 Speaker 2: of venture capital. 409 00:24:45,560 --> 00:24:49,040 Speaker 1: You said, one of the things that is excellent about 410 00:24:49,080 --> 00:24:54,960 Speaker 1: venture capital is that it allows for failures, because having failures, 411 00:24:55,600 --> 00:24:57,800 Speaker 1: or at least some of it or enough of it, 412 00:24:57,880 --> 00:25:00,040 Speaker 1: is a sign of success. Just talk us through some 413 00:25:00,080 --> 00:25:04,160 Speaker 1: of the failures that you've had in your career, specific examples, 414 00:25:04,280 --> 00:25:06,560 Speaker 1: and what have they taught you about clean tech and 415 00:25:06,560 --> 00:25:07,200 Speaker 1: how we scale. 416 00:25:07,600 --> 00:25:11,720 Speaker 2: The biggest failure in a single category for us has 417 00:25:11,880 --> 00:25:17,440 Speaker 2: been in doing the transition from innovating in solar PV 418 00:25:17,560 --> 00:25:24,879 Speaker 2: technologies to having commercial success with those PV technologies. And 419 00:25:25,640 --> 00:25:33,720 Speaker 2: the failure in that case was not recognizing that for 420 00:25:33,840 --> 00:25:37,879 Speaker 2: a very long period of time, most of the world, 421 00:25:38,560 --> 00:25:44,240 Speaker 2: except for China, would have no appetite to manufacture solar 422 00:25:45,359 --> 00:25:49,200 Speaker 2: or to adopt new solar technologies. That was a very 423 00:25:49,240 --> 00:25:52,200 Speaker 2: important observation and lesson. 424 00:25:52,480 --> 00:25:54,240 Speaker 1: And that's not something you could have predicted. 425 00:25:54,640 --> 00:25:57,159 Speaker 2: So yeah, I think, I mean, if you can predict 426 00:25:57,160 --> 00:26:03,480 Speaker 2: a failure, you would hopefully avoid it, especially in an 427 00:26:03,520 --> 00:26:06,480 Speaker 2: opportunity rich environment like Silicon Valley right where there's so 428 00:26:06,560 --> 00:26:09,600 Speaker 2: many ideas. I mean, we do six seven companies a 429 00:26:09,680 --> 00:26:13,440 Speaker 2: year new we obviously have to support the thirty forty 430 00:26:13,480 --> 00:26:16,960 Speaker 2: fifty that are alive. There are a lot of companies 431 00:26:17,000 --> 00:26:19,920 Speaker 2: you say no to, and many that you say no 432 00:26:20,040 --> 00:26:22,000 Speaker 2: to the first time, but then you know later on 433 00:26:22,200 --> 00:26:24,600 Speaker 2: for a variety of reasons, you decide it's a good idea. 434 00:26:25,080 --> 00:26:27,600 Speaker 2: But there's a lot of no's. And I joke with 435 00:26:27,640 --> 00:26:30,080 Speaker 2: our team all the time that if you're saying no, 436 00:26:30,680 --> 00:26:33,960 Speaker 2: you're likely to be right because you're more correct when 437 00:26:33,960 --> 00:26:36,159 Speaker 2: you say no that when you say yes. And in 438 00:26:36,240 --> 00:26:39,560 Speaker 2: our business, the only thing that really matters is saying 439 00:26:39,560 --> 00:26:41,720 Speaker 2: when you can say yes, because saying no is easy, 440 00:26:42,080 --> 00:26:44,840 Speaker 2: and you'll be very smart for saying no, because most 441 00:26:44,880 --> 00:26:46,399 Speaker 2: of those things that you say no time going to 442 00:26:46,640 --> 00:26:50,399 Speaker 2: turn out to be failures. The most satisfying way of 443 00:26:50,440 --> 00:26:53,680 Speaker 2: failing is when all of that that you assumed comes 444 00:26:53,720 --> 00:26:57,199 Speaker 2: out correct, but somebody else does it better. That's the 445 00:26:57,200 --> 00:27:01,400 Speaker 2: best way to fail, because that means the best product 446 00:27:01,600 --> 00:27:03,919 Speaker 2: is winning, and it's winning for that reason, and you know, 447 00:27:04,080 --> 00:27:06,720 Speaker 2: the people that were working on what you failed at 448 00:27:06,720 --> 00:27:09,080 Speaker 2: did their best and did what they set out to 449 00:27:09,119 --> 00:27:11,760 Speaker 2: be and were able to achieve what did they just 450 00:27:11,960 --> 00:27:14,760 Speaker 2: somebody else did it better and so the product comes 451 00:27:14,760 --> 00:27:18,160 Speaker 2: to life. It's still a good idea, but somebody else 452 00:27:18,760 --> 00:27:21,400 Speaker 2: does it and somebody else reaps the benefit of it. 453 00:27:23,119 --> 00:27:27,480 Speaker 1: Wonderful. This was a fascinating conversation. Thanks for coming on 454 00:27:27,480 --> 00:27:27,800 Speaker 1: the show. 455 00:27:27,960 --> 00:27:29,080 Speaker 2: Thank you, it is a pleasure. 456 00:27:36,960 --> 00:27:40,600 Speaker 1: Thanks for listening to zero. Each week, Bloombergreen publishes hundreds 457 00:27:40,600 --> 00:27:44,280 Speaker 1: of stories about the climate crisis and its solutions, including 458 00:27:44,320 --> 00:27:48,119 Speaker 1: an investigation from my colleague Leslie Kaufman looking into the 459 00:27:48,200 --> 00:27:51,040 Speaker 1: greenwashy claims of recyclable plastics. 460 00:27:51,920 --> 00:27:55,040 Speaker 5: Terror Cycle is a favorite partner of consumer goods companies 461 00:27:55,240 --> 00:27:59,040 Speaker 5: looking to make plastic packaging, such as chip packets seem 462 00:27:59,080 --> 00:28:04,399 Speaker 5: more environmental friendly. Items like car seats, cigarettes, and baby 463 00:28:04,400 --> 00:28:08,280 Speaker 5: food pouches are very difficult to recycle, but TerraCycle says 464 00:28:08,280 --> 00:28:10,760 Speaker 5: it can do it, and so if a company pays 465 00:28:10,880 --> 00:28:14,000 Speaker 5: TerraCycle of fee, they get to put a recyclable label 466 00:28:14,359 --> 00:28:17,480 Speaker 5: on the package and claim all as well. In twenty 467 00:28:17,560 --> 00:28:21,160 Speaker 5: twenty one, TerraCycle earned seventy one million in revenue this way, 468 00:28:22,119 --> 00:28:24,919 Speaker 5: but I wanted to know where do all those baby 469 00:28:24,920 --> 00:28:28,399 Speaker 5: food pouches, snack wrappers and bubble wrap really go. To 470 00:28:28,520 --> 00:28:31,080 Speaker 5: find out, I put trackers on all three of those 471 00:28:31,119 --> 00:28:34,760 Speaker 5: items and followed them online and then literally all the 472 00:28:34,800 --> 00:28:38,840 Speaker 5: way well to landfills. I was talking to two waste 473 00:28:38,840 --> 00:28:41,640 Speaker 5: sorders and a founder of TerraCycle for this article, and 474 00:28:41,680 --> 00:28:44,960 Speaker 5: it turns out that recycling plastic the way TerraCycle promises 475 00:28:45,480 --> 00:28:49,320 Speaker 5: is far more dirty and uncertain than consumers and companies 476 00:28:49,360 --> 00:28:51,720 Speaker 5: are ready to face to. 477 00:28:51,800 --> 00:28:54,680 Speaker 1: Read Leslie's article and see the photos of the investigation 478 00:28:55,040 --> 00:28:58,120 Speaker 1: follow the link in the show notes. If you enjoyed 479 00:28:58,120 --> 00:29:00,960 Speaker 1: this week's episode, please share it with the or someone 480 00:29:01,000 --> 00:29:05,600 Speaker 1: who recently mentioned Moore's law. Zero's producer is Oscar Boyd 481 00:29:05,640 --> 00:29:09,440 Speaker 1: and senior producer is Christine Driskell. Our theme music is 482 00:29:09,480 --> 00:29:12,640 Speaker 1: by Wonderly Special thanks this week to Kira bin Rim 483 00:29:12,760 --> 00:29:16,800 Speaker 1: and Venkot viz Vanathan I am Akshadrati back next week