1 00:00:02,040 --> 00:00:06,000 Speaker 1: This is Master's in Business with very Rid Holds on 2 00:00:06,240 --> 00:00:08,240 Speaker 1: Bloomberg Radio. 3 00:00:09,320 --> 00:00:12,320 Speaker 2: This week on the podcast, I have an extra special guest, 4 00:00:12,480 --> 00:00:16,720 Speaker 2: show Meek Data, co founder and managing partner at Overture 5 00:00:16,840 --> 00:00:23,200 Speaker 2: Climate VC, focuses on all sorts of fascinating startup and 6 00:00:23,320 --> 00:00:28,560 Speaker 2: climate change technology, from concrete to energy production, to storage, 7 00:00:28,600 --> 00:00:33,400 Speaker 2: to carbon capture, to material science to well turning the fuels. 8 00:00:33,520 --> 00:00:37,159 Speaker 2: This is really a fascinating discussion about some of the 9 00:00:37,240 --> 00:00:41,400 Speaker 2: latest greatest technology that's going to help the world get 10 00:00:41,479 --> 00:00:45,880 Speaker 2: to a carbon neutral status and maybe even a carbon 11 00:00:45,960 --> 00:00:49,640 Speaker 2: negative status to roll back the impact of two hundred 12 00:00:49,680 --> 00:00:53,640 Speaker 2: and fifty years of burning fossil fuels. I found this 13 00:00:53,720 --> 00:00:58,280 Speaker 2: conversation to be absolutely fascinating, not just because show Meek 14 00:00:59,480 --> 00:01:02,480 Speaker 2: has a little bit of a political background and had 15 00:01:02,600 --> 00:01:08,119 Speaker 2: worked in both of Obama's campaign where he was frequently 16 00:01:08,319 --> 00:01:12,240 Speaker 2: fired by the soon to be president but still managed 17 00:01:12,240 --> 00:01:15,560 Speaker 2: to maintain his job, but because of his deep and 18 00:01:15,760 --> 00:01:20,920 Speaker 2: broad knowledge of the technologies behind climate change. He said, 19 00:01:21,120 --> 00:01:25,039 Speaker 2: this isn't a green investment so much as a money 20 00:01:25,040 --> 00:01:28,840 Speaker 2: making economic investment, and if you're not paying attention, you're 21 00:01:28,840 --> 00:01:32,160 Speaker 2: going to miss the opportunity. With no further ado, my 22 00:01:32,360 --> 00:01:36,280 Speaker 2: conversation with Overture Climate VCS show mc dadda. 23 00:01:36,800 --> 00:01:37,720 Speaker 1: Erry, thanks for having me. 24 00:01:38,000 --> 00:01:41,920 Speaker 2: So, what was the original plan? Was it politics or finance? 25 00:01:41,959 --> 00:01:43,080 Speaker 2: Where were you thinking of going? 26 00:01:43,240 --> 00:01:46,240 Speaker 1: It was always politics. I grew up a political junkie, 27 00:01:46,840 --> 00:01:50,360 Speaker 1: worked on Senate races and governor's races, and had the 28 00:01:50,400 --> 00:01:52,680 Speaker 1: really good fortune of linking up with Barack Obama in 29 00:01:52,760 --> 00:01:54,640 Speaker 1: two thousand and seven. I was one of the early 30 00:01:54,680 --> 00:01:57,240 Speaker 1: staffers on that campaign, and it ended up obviously being 31 00:01:57,240 --> 00:01:59,040 Speaker 1: this incredible rocket ship'll kind of start up in his 32 00:01:59,120 --> 00:02:02,320 Speaker 1: own right, And it was that experience that convinced me 33 00:02:02,440 --> 00:02:04,840 Speaker 1: that it's really possible to do big, daring, hard things. 34 00:02:05,120 --> 00:02:08,320 Speaker 1: Watching the president sort of go from a US senator 35 00:02:08,320 --> 00:02:10,519 Speaker 1: who's still paying off his law school loans to stepping 36 00:02:10,560 --> 00:02:12,840 Speaker 1: into the most important job in the world was an 37 00:02:12,880 --> 00:02:14,560 Speaker 1: inspiring and crazy experience. 38 00:02:14,760 --> 00:02:16,520 Speaker 2: What did you do for the campaign in eight and 39 00:02:16,560 --> 00:02:17,840 Speaker 2: then what'd you do in twenty twelve? 40 00:02:17,840 --> 00:02:20,080 Speaker 1: I was his fundraiser, so I oversaw the mid Atlantic states, 41 00:02:20,120 --> 00:02:23,720 Speaker 1: about nine states. I was twenty four years old, cocky 42 00:02:23,840 --> 00:02:25,400 Speaker 1: and a little bit insane. I'd read a lot of 43 00:02:25,400 --> 00:02:26,840 Speaker 1: books about rom and Manuel, so I thought you were 44 00:02:26,840 --> 00:02:29,480 Speaker 1: supposed to swear at people and yell and push hard, 45 00:02:29,520 --> 00:02:32,079 Speaker 1: which I did and proud to say that we outraised 46 00:02:32,120 --> 00:02:34,320 Speaker 1: Hillary Clinton from the very first day that I joined. 47 00:02:34,840 --> 00:02:37,520 Speaker 1: I turned down an offer from Hillary Clinton at the time, 48 00:02:37,560 --> 00:02:40,920 Speaker 1: which you know, my father's a risk averse immigrant, so 49 00:02:41,000 --> 00:02:42,919 Speaker 1: his two pieces of advice to me were to work 50 00:02:42,960 --> 00:02:45,440 Speaker 1: at Lehman Brothers from investment banking, good call, and to 51 00:02:45,560 --> 00:02:47,920 Speaker 1: work for Hillary Clinton, not Barack Obama. But those are 52 00:02:47,919 --> 00:02:49,640 Speaker 1: the only two things I've ignored his advice on. 53 00:02:49,680 --> 00:02:51,200 Speaker 2: And your dad's O for two. 54 00:02:52,240 --> 00:02:54,639 Speaker 1: My dad's one thousand for one thousand and two. 55 00:02:54,720 --> 00:03:00,320 Speaker 2: But that's great. So how did you go from working 56 00:03:00,320 --> 00:03:03,440 Speaker 2: in the campaign to working at both the White House 57 00:03:03,480 --> 00:03:04,239 Speaker 2: and the FCCI. 58 00:03:05,120 --> 00:03:06,519 Speaker 1: You know, you could say a lot of it was 59 00:03:06,520 --> 00:03:09,480 Speaker 1: political nepotism. Candidly, I was a you know, coffee boy. 60 00:03:09,480 --> 00:03:12,080 Speaker 1: I was Greg Craig, the White House Counsel's special assistant, 61 00:03:12,600 --> 00:03:14,400 Speaker 1: and as puffed up and important as I thought I 62 00:03:14,440 --> 00:03:16,120 Speaker 1: was on the campaign, when it turns to governing, it 63 00:03:16,160 --> 00:03:19,080 Speaker 1: turns out you need some specialization. So I quickly realized 64 00:03:19,120 --> 00:03:21,519 Speaker 1: that I didn't have a sort of path to being 65 00:03:21,520 --> 00:03:23,960 Speaker 1: the National Security Council Advisor at any point. So I, 66 00:03:24,160 --> 00:03:26,239 Speaker 1: you know, after serving coffee for about a year working 67 00:03:26,280 --> 00:03:29,280 Speaker 1: on a Supreme Court nomination, shifted to go work for Julius, 68 00:03:29,280 --> 00:03:31,560 Speaker 1: who is the FCC chairman. And that's when I realized 69 00:03:31,560 --> 00:03:32,720 Speaker 1: that a lot of the smartest guys in the room 70 00:03:32,760 --> 00:03:36,080 Speaker 1: are actually in business more often than not, and got 71 00:03:36,080 --> 00:03:39,120 Speaker 1: really interested in shifting my career that that direction. 72 00:03:39,440 --> 00:03:43,480 Speaker 2: So someone interested in doing work in politics, how do 73 00:03:43,560 --> 00:03:44,560 Speaker 2: you get a foot in the door? 74 00:03:45,840 --> 00:03:48,560 Speaker 1: You know, it really starts with picking a campaign. And 75 00:03:48,640 --> 00:03:50,600 Speaker 1: a campaign is like a lot like a startup, with's 76 00:03:50,600 --> 00:03:53,800 Speaker 1: a really flat organization. You have to raise an unbelievablemount 77 00:03:53,800 --> 00:03:55,760 Speaker 1: of money and spend it in a short period of time, 78 00:03:56,480 --> 00:03:59,240 Speaker 1: and you have this discrete objective that everyone's nailed towards. 79 00:03:59,240 --> 00:04:02,040 Speaker 1: And so for a young there's no better experience than 80 00:04:02,080 --> 00:04:04,960 Speaker 1: working on a campaign, where if you can get something done, 81 00:04:05,400 --> 00:04:07,080 Speaker 1: there is a job for you. And so that's where 82 00:04:07,080 --> 00:04:10,560 Speaker 1: I really cut my teeth, working on campaigns, getting stuff done. 83 00:04:11,480 --> 00:04:13,680 Speaker 1: And you know, no better boss than Obama. 84 00:04:13,920 --> 00:04:17,920 Speaker 2: So venture capitalists are notorious for having this really in 85 00:04:18,000 --> 00:04:24,480 Speaker 2: depth network of high performing, plugged in people. How similar 86 00:04:24,680 --> 00:04:27,080 Speaker 2: is that to what takes place in the world of 87 00:04:27,120 --> 00:04:28,120 Speaker 2: political networking. 88 00:04:28,560 --> 00:04:30,760 Speaker 1: It's fine. I heard doug Ley Owne, the founder of 89 00:04:31,160 --> 00:04:33,760 Speaker 1: the managing partner at Sequoia, have this great phrasing, there's 90 00:04:33,760 --> 00:04:36,000 Speaker 1: many paths to heaven, And it seems in venture capital 91 00:04:36,040 --> 00:04:38,400 Speaker 1: there are many paths to heaven. Right. You can have 92 00:04:39,120 --> 00:04:42,600 Speaker 1: a really well networked media executive, as was Mike Moritz 93 00:04:42,640 --> 00:04:45,480 Speaker 1: at the time. You can have drilled down operators who 94 00:04:45,480 --> 00:04:48,760 Speaker 1: have run businesses. There are many different ways venture capitalists 95 00:04:48,760 --> 00:04:51,200 Speaker 1: can add value. And it was my observation in climate 96 00:04:51,240 --> 00:04:54,320 Speaker 1: investing that there were no venture capitalists that deeply understand 97 00:04:54,360 --> 00:04:57,520 Speaker 1: government and regulatory risk, despite the fact that the government's 98 00:04:57,520 --> 00:05:00,240 Speaker 1: playing this central casting role in the energy transition. And 99 00:05:00,240 --> 00:05:01,960 Speaker 1: so I thought this might be a pathway to heaven 100 00:05:02,000 --> 00:05:05,240 Speaker 1: for us, observing Tusk Ventures in New York doing this 101 00:05:05,320 --> 00:05:08,960 Speaker 1: quite successfully for coinbase and draft Kings and Uber. I 102 00:05:09,000 --> 00:05:11,240 Speaker 1: just don't really care about sports betting, but I really 103 00:05:11,320 --> 00:05:13,760 Speaker 1: thought that I could add value to these startups as 104 00:05:13,760 --> 00:05:16,279 Speaker 1: a venture capitalist that deeply understood government, and so that 105 00:05:16,440 --> 00:05:17,320 Speaker 1: was my path to heaven. 106 00:05:17,800 --> 00:05:19,960 Speaker 2: So you grow up in Chicago, you moved to DC 107 00:05:20,160 --> 00:05:23,520 Speaker 2: after college. Was it for a political campaign or was 108 00:05:23,560 --> 00:05:27,080 Speaker 2: it just a coincidence? Hey, this local business seems pretty 109 00:05:27,360 --> 00:05:28,200 Speaker 2: pretty fascinating. 110 00:05:28,279 --> 00:05:31,440 Speaker 1: No, explicitly for campaigns, and so, you know, moved around 111 00:05:31,520 --> 00:05:33,840 Speaker 1: zip codes in a lot of sort of post industrial 112 00:05:33,839 --> 00:05:36,840 Speaker 1: wasteland places. I lived in Baltimore working for Martin O'Malley's 113 00:05:36,839 --> 00:05:39,360 Speaker 1: first governor's race. I lived in Rhode Island working for 114 00:05:39,440 --> 00:05:41,680 Speaker 1: a Senate race, and then in two thousand and seven 115 00:05:41,720 --> 00:05:43,760 Speaker 1: got recruited into Obama and that's when I moved to DC. 116 00:05:44,279 --> 00:05:48,800 Speaker 2: Huh, so your campaign staff during Obama's re election campaign? 117 00:05:49,880 --> 00:05:53,400 Speaker 2: What were you doing with the Biden administration when they 118 00:05:53,400 --> 00:05:54,800 Speaker 2: were running in twenty sixteen. 119 00:05:55,240 --> 00:05:58,560 Speaker 1: I built an impact venture fund that you referenced called 120 00:05:58,600 --> 00:06:01,120 Speaker 1: Higher Ground Labs. It was our others that you know, 121 00:06:01,320 --> 00:06:04,240 Speaker 1: Trump had benefited from a lot of new technology, and 122 00:06:04,480 --> 00:06:08,360 Speaker 1: Democrats were still campaigning with number two pencils and spreadsheets. 123 00:06:08,360 --> 00:06:10,719 Speaker 2: Now, let me ask you. That's I'm gonna interrupt you 124 00:06:10,800 --> 00:06:15,400 Speaker 2: right there, because I very vividly recall reading a Wired 125 00:06:15,960 --> 00:06:21,440 Speaker 2: piece from Wired magazine about how cutting edge the Obama 126 00:06:22,080 --> 00:06:26,800 Speaker 2: campaign was with iterative changes and a B testing and 127 00:06:27,279 --> 00:06:30,359 Speaker 2: they just were raising more money, faster for more people. 128 00:06:30,800 --> 00:06:33,680 Speaker 2: You're telling me by twenty sixteen that's already out of 129 00:06:33,760 --> 00:06:35,279 Speaker 2: date and fallen way behind. 130 00:06:35,360 --> 00:06:38,320 Speaker 1: You're exactly right, it's exactly the insight that actually led 131 00:06:38,360 --> 00:06:41,240 Speaker 1: us to start Higher Ground Labs. Campaigns are like big 132 00:06:41,279 --> 00:06:43,680 Speaker 1: startups and you raise a billion dollars, as was the 133 00:06:43,720 --> 00:06:47,080 Speaker 1: case with Obama, you build cutting edge technology, and after 134 00:06:47,160 --> 00:06:51,080 Speaker 1: election day, the lights go off, everybody leaves, the email 135 00:06:51,080 --> 00:06:53,640 Speaker 1: addresses go off, and you start anew in four years. 136 00:06:53,640 --> 00:06:56,640 Speaker 1: As though none of that mattered, and there was no longitudinal, 137 00:06:56,680 --> 00:07:00,040 Speaker 1: inherent inheritance of learnings and data and technology. And so 138 00:07:00,080 --> 00:07:03,039 Speaker 1: we wanted to build for profits startups that could build 139 00:07:03,080 --> 00:07:07,200 Speaker 1: longitudinally compounding innovation and standing as free standing entities that 140 00:07:07,240 --> 00:07:09,159 Speaker 1: could be even profitable for investors so that we could 141 00:07:09,200 --> 00:07:11,120 Speaker 1: raise more capital for them. And so we did that. 142 00:07:11,160 --> 00:07:13,760 Speaker 1: We built companies like Mobilized, which ended up shifting all 143 00:07:13,800 --> 00:07:16,320 Speaker 1: of the volunteer action in the Democratic Party, sold to 144 00:07:16,360 --> 00:07:20,240 Speaker 1: an Insight backed the private equity fund insights backed company, 145 00:07:20,240 --> 00:07:22,560 Speaker 1: and so things like that can both compound returns for 146 00:07:22,600 --> 00:07:24,880 Speaker 1: investors but also compound innovation to the party, so you 147 00:07:24,880 --> 00:07:26,760 Speaker 1: don't have to start from zero every four years. 148 00:07:27,000 --> 00:07:30,160 Speaker 2: So on your LinkedIn, I see you got an NBA 149 00:07:30,360 --> 00:07:33,840 Speaker 2: from Wharton around the same time as the election. Please 150 00:07:33,960 --> 00:07:35,560 Speaker 2: don't tell me you would do both at once. 151 00:07:35,600 --> 00:07:38,600 Speaker 1: I did both. It is not recommended. It was a 152 00:07:38,600 --> 00:07:41,880 Speaker 1: lot of pounds and gray hair. But you know, my 153 00:07:42,040 --> 00:07:44,640 Speaker 1: deal with my dad, who came to this country with 154 00:07:44,840 --> 00:07:47,840 Speaker 1: you know, a big dream, came his country about two 155 00:07:47,880 --> 00:07:50,800 Speaker 1: hundred bucks in his pocket. He worked as a security 156 00:07:50,840 --> 00:07:53,080 Speaker 1: guard at Harvard Business Schools and attended Harvard Business School 157 00:07:53,080 --> 00:07:55,640 Speaker 1: at the same time. You know, there's that line Obama 158 00:07:55,680 --> 00:07:57,840 Speaker 1: has that every son wants to be live up to 159 00:07:57,880 --> 00:08:00,240 Speaker 1: his father's expectations or to be something as father is not. 160 00:08:00,440 --> 00:08:02,520 Speaker 1: It definitely fell in the first category. And so my 161 00:08:02,600 --> 00:08:04,120 Speaker 1: dad would always point out, like, look, I came to 162 00:08:04,200 --> 00:08:06,360 Speaker 1: this country with two hundred bucks, and he ultimately became 163 00:08:06,400 --> 00:08:07,880 Speaker 1: the president of the United Airlines and it was like 164 00:08:07,920 --> 00:08:08,800 Speaker 1: an incredible career. 165 00:08:08,800 --> 00:08:11,560 Speaker 2: And so your dad was president of the United Airlines. 166 00:08:11,600 --> 00:08:14,760 Speaker 2: He was as an immigrant who arrived essentially with a 167 00:08:14,800 --> 00:08:16,400 Speaker 2: handful of monops. 168 00:08:16,120 --> 00:08:19,080 Speaker 1: With working as a security guard at night at HBS, 169 00:08:19,080 --> 00:08:21,320 Speaker 1: and so you know, those were big shoes to fill. 170 00:08:21,400 --> 00:08:23,080 Speaker 1: And the thing that I always took away from him 171 00:08:23,160 --> 00:08:25,679 Speaker 1: was that, look, the thing that inspired him about building 172 00:08:25,680 --> 00:08:28,720 Speaker 1: big businesses and running them was not power. It was 173 00:08:28,760 --> 00:08:31,240 Speaker 1: not money, though the money is nice. It's the ability 174 00:08:31,280 --> 00:08:33,800 Speaker 1: to just help so many people he said, like his 175 00:08:33,880 --> 00:08:35,920 Speaker 1: heroes were always people that could provide a lot of jobs, 176 00:08:35,960 --> 00:08:38,800 Speaker 1: businessmen and businesswomen that can provide jobs. And so it 177 00:08:38,880 --> 00:08:41,160 Speaker 1: was that narrative that was always in my head and 178 00:08:41,200 --> 00:08:42,920 Speaker 1: the need to sort of live up to his big 179 00:08:42,960 --> 00:08:44,480 Speaker 1: expectations at something to business school. 180 00:08:44,559 --> 00:08:48,840 Speaker 2: Huh really really interesting? So what'd you study at Wharton? 181 00:08:48,920 --> 00:08:52,120 Speaker 2: And is any of that appleable to what you do now? 182 00:08:52,200 --> 00:08:54,319 Speaker 1: You know, thankfully there was no great disclosure at Wharton. 183 00:08:54,400 --> 00:08:55,920 Speaker 1: I can't tell you very much of what I don't 184 00:08:55,920 --> 00:08:57,760 Speaker 1: think any NBA can really tell you what they learned. 185 00:08:58,360 --> 00:08:59,760 Speaker 1: But what I took away from it was an amazing 186 00:08:59,760 --> 00:09:02,000 Speaker 1: network in some signaling value to say, hey, maybe this 187 00:09:02,040 --> 00:09:04,680 Speaker 1: guy has half a brain for business, which I'm not 188 00:09:04,720 --> 00:09:05,720 Speaker 1: even sure is true today. 189 00:09:06,280 --> 00:09:09,240 Speaker 2: Really really interesting. So you have a quote I really like. 190 00:09:09,559 --> 00:09:13,920 Speaker 2: You said you felt much closer to Governor Martin O'Malley 191 00:09:14,120 --> 00:09:17,760 Speaker 2: than he felt towards me. Isn't that true? How it 192 00:09:18,520 --> 00:09:24,760 Speaker 2: is in all campaigns everybody is looking and sponsoring and 193 00:09:24,800 --> 00:09:29,360 Speaker 2: loving the candidate, but they have to distribuliviate their affection 194 00:09:29,520 --> 00:09:31,320 Speaker 2: to millions of supporters. 195 00:09:31,679 --> 00:09:34,240 Speaker 1: Yeah, you know, there's there's a right and wrong reason 196 00:09:34,280 --> 00:09:36,800 Speaker 1: to get involved in politics. One of the wrong reasons 197 00:09:36,840 --> 00:09:38,240 Speaker 1: I think that a lot of people end up doing 198 00:09:38,360 --> 00:09:40,520 Speaker 1: is that it's a pathway to being closer to power. 199 00:09:41,000 --> 00:09:44,000 Speaker 1: And I observed it, you know, probably succumbed to some 200 00:09:44,080 --> 00:09:46,960 Speaker 1: of it myself. But it's the wrong reason to be 201 00:09:47,000 --> 00:09:49,319 Speaker 1: doing the work. And so I was, you know, kind 202 00:09:49,320 --> 00:09:51,480 Speaker 1: of making fun of myself for that, but yeah, you're right. 203 00:09:51,559 --> 00:09:53,400 Speaker 1: You know, these campaigns, you end up liking a lot 204 00:09:53,440 --> 00:09:54,800 Speaker 1: of hours with these folks. You know, I was. I 205 00:09:54,840 --> 00:09:56,720 Speaker 1: was Obama's call time manager and fundraiser. 206 00:09:57,200 --> 00:10:00,000 Speaker 2: You're again, you're anticipating my next question. How much time 207 00:10:00,000 --> 00:10:03,080 Speaker 2: time did you spend with Obama? And did you not 208 00:10:03,200 --> 00:10:06,520 Speaker 2: feel the love reciprocated or because he seems to be 209 00:10:06,720 --> 00:10:10,920 Speaker 2: kind of an unusual guy in politics. 210 00:10:10,960 --> 00:10:13,560 Speaker 1: A little more removed, a little more ascetic and monkish. 211 00:10:13,760 --> 00:10:15,280 Speaker 1: You know, yeah, I think he tried to fire me 212 00:10:15,280 --> 00:10:17,560 Speaker 1: a few times for being too aggressive in fundraising from 213 00:10:17,559 --> 00:10:18,000 Speaker 1: his friends. 214 00:10:18,040 --> 00:10:21,080 Speaker 2: But oh really, I'll just say, you know, wait, you were, 215 00:10:21,440 --> 00:10:25,199 Speaker 2: you were? Obama said, Hey, that dutt a guy. Can 216 00:10:25,240 --> 00:10:25,839 Speaker 2: we lose him? 217 00:10:25,920 --> 00:10:28,720 Speaker 1: This guy at least at least twice. Though, My favorite 218 00:10:28,720 --> 00:10:31,120 Speaker 1: moment was in the Dungeons of two thousand and seven 219 00:10:31,559 --> 00:10:33,920 Speaker 1: when you know, doldrums of two thousand and seven. We 220 00:10:33,920 --> 00:10:36,400 Speaker 1: were forty points down to Hillary Clinton and I was 221 00:10:36,440 --> 00:10:39,400 Speaker 1: still producing multimillion dollar fund raising outcomes for him. And 222 00:10:39,440 --> 00:10:41,959 Speaker 1: so one time we dropped him off at the you know, 223 00:10:42,040 --> 00:10:44,120 Speaker 1: he'd start event saying, who do I have to apologize 224 00:10:44,160 --> 00:10:45,840 Speaker 1: to in here for you, Shamik, and I'd be like 225 00:10:45,880 --> 00:10:47,840 Speaker 1: that guy, that guy, that guy. So we dropped him 226 00:10:47,880 --> 00:10:49,760 Speaker 1: back at his apartment and he doubled back to the 227 00:10:49,760 --> 00:10:52,160 Speaker 1: car and he said, Shimik, keep doing what you're doing. 228 00:10:52,200 --> 00:10:54,200 Speaker 1: I'll keep apologizing. It's worth it. And it was like 229 00:10:54,200 --> 00:10:55,480 Speaker 1: the highlight of my career. 230 00:10:55,640 --> 00:10:57,400 Speaker 2: Is that your Obama is that as good as a guest? 231 00:10:57,440 --> 00:11:02,240 Speaker 2: WHOA how are you? I can't help but notice that 232 00:11:02,760 --> 00:11:07,960 Speaker 2: President Obama was probably the first president to take a 233 00:11:08,040 --> 00:11:12,080 Speaker 2: very strong stance on climate change. How much of your 234 00:11:12,160 --> 00:11:16,760 Speaker 2: work with the Obama campaign inspired you to start investing 235 00:11:16,760 --> 00:11:17,320 Speaker 2: in the space. 236 00:11:18,520 --> 00:11:22,280 Speaker 1: I think the experience from the Obama world was that everybody, 237 00:11:22,440 --> 00:11:24,400 Speaker 1: you know, there's this big, great Bill Gates line, that 238 00:11:24,440 --> 00:11:27,400 Speaker 1: everybody underestimates what they can do in ten years and 239 00:11:27,440 --> 00:11:29,800 Speaker 1: overestimates what they can do in one year, and taking 240 00:11:29,840 --> 00:11:32,880 Speaker 1: a long term path to doing something really big and 241 00:11:32,960 --> 00:11:35,640 Speaker 1: grinding on it for a long time can produce extraordinary outcomes. 242 00:11:35,960 --> 00:11:38,960 Speaker 1: You know, the president was the architect of the Paris Accords, 243 00:11:39,000 --> 00:11:41,960 Speaker 1: which is the framework that the IPCC now uses to 244 00:11:42,080 --> 00:11:44,319 Speaker 1: ensure that the world is driving to a net zero future, 245 00:11:44,720 --> 00:11:47,080 Speaker 1: and so there is a you know, the sparkle I 246 00:11:47,120 --> 00:11:49,319 Speaker 1: take away from the Obama days was a challenge from him, 247 00:11:49,320 --> 00:11:51,400 Speaker 1: which is that we should do big things, and if 248 00:11:51,440 --> 00:11:53,679 Speaker 1: you focus and execute every day for a long period 249 00:11:53,720 --> 00:11:56,520 Speaker 1: of time, most people probably underestimate what they can accomplish. 250 00:11:56,679 --> 00:11:59,880 Speaker 2: So we just kind of wrapped up the Climate Accords. 251 00:12:01,000 --> 00:12:04,920 Speaker 2: Surprisingly in the Middle East, sponsored by a big oil 252 00:12:05,000 --> 00:12:08,360 Speaker 2: producing nation. How do you look at those events? Are 253 00:12:08,400 --> 00:12:11,640 Speaker 2: these just photo ops or does something substantial come out 254 00:12:11,640 --> 00:12:12,400 Speaker 2: of them? 255 00:12:12,800 --> 00:12:16,920 Speaker 1: I think there was a great deal of heart palpitation 256 00:12:17,000 --> 00:12:19,640 Speaker 1: about this COP in part because, as you correctly note, 257 00:12:19,720 --> 00:12:22,120 Speaker 1: the head of the largest oil and gas company in 258 00:12:22,160 --> 00:12:24,600 Speaker 1: Abu Dhabi was the same man in charge of the COP. 259 00:12:25,200 --> 00:12:28,120 Speaker 1: And yet all one hundred and eighty countries left with 260 00:12:28,240 --> 00:12:33,240 Speaker 1: a firm commitment to decarbonize and to transition away from 261 00:12:33,320 --> 00:12:40,720 Speaker 1: fossil fuels and oil and gas, with an emphatic agreement 262 00:12:41,120 --> 00:12:43,280 Speaker 1: around that big daring idea that's the first time this 263 00:12:43,320 --> 00:12:45,200 Speaker 1: has ever come out of a cop and I think 264 00:12:45,280 --> 00:12:49,280 Speaker 1: the US government's leadership in this, particularly on methane, is 265 00:12:49,320 --> 00:12:51,280 Speaker 1: going to start reverberating through the market in a really 266 00:12:51,320 --> 00:12:51,920 Speaker 1: positive way. 267 00:12:52,200 --> 00:12:55,040 Speaker 2: So I've been reading a bunch of stuff on mething lately. 268 00:12:55,800 --> 00:12:59,960 Speaker 2: Not only is it a notorious noxious waste that contribute 269 00:12:59,960 --> 00:13:03,240 Speaker 2: to the greenhouse effect and all sorts of other issues. 270 00:13:03,520 --> 00:13:07,200 Speaker 2: We just burn off tons of it in flares. Another thing. 271 00:13:07,679 --> 00:13:11,400 Speaker 2: Not too long ago, Sixty Minutes had a episode where 272 00:13:11,440 --> 00:13:16,920 Speaker 2: they showed a company was essentially capturing that flare, using 273 00:13:16,960 --> 00:13:21,720 Speaker 2: it to generate electrical power and running data service centers 274 00:13:22,400 --> 00:13:24,040 Speaker 2: right there on the oil field. 275 00:13:23,840 --> 00:13:26,280 Speaker 1: Called Crusoe Energy. I'm actually an investor in that company. 276 00:13:26,400 --> 00:13:27,400 Speaker 2: Tell us a little bit about that. 277 00:13:27,400 --> 00:13:31,319 Speaker 1: That's quite fascinating, you know, the two the twin problems. 278 00:13:31,400 --> 00:13:34,000 Speaker 1: We're going to realize in the near future that we'll 279 00:13:34,000 --> 00:13:37,400 Speaker 1: have these stranded energy assets that are often leaking methane. 280 00:13:37,400 --> 00:13:39,920 Speaker 1: We have oil and gas wells that have sustained casing 281 00:13:39,920 --> 00:13:42,840 Speaker 1: pressure that are bubbling methane. We need to seal those 282 00:13:42,840 --> 00:13:45,360 Speaker 1: wells permanently or make use of the methane because the 283 00:13:45,400 --> 00:13:48,040 Speaker 1: methane has a great deal of economic value. The second 284 00:13:48,120 --> 00:13:50,520 Speaker 1: challenge we have is that our next generation compute is 285 00:13:50,559 --> 00:13:54,760 Speaker 1: going to be incredibly electricity intensive, far more than what 286 00:13:54,760 --> 00:13:56,880 Speaker 1: we experienced today, and so data centers are going to 287 00:13:56,880 --> 00:13:59,760 Speaker 1: become opex pain points for a lot of companies. And 288 00:14:00,120 --> 00:14:02,920 Speaker 1: what CRUSO wants to do is resolve those two challenges. 289 00:14:02,960 --> 00:14:06,600 Speaker 1: Take strained energy assets, utilize that energy creatively, and also 290 00:14:06,679 --> 00:14:09,559 Speaker 1: ensure that we can decarbonize data centers, which are increasingly 291 00:14:09,559 --> 00:14:12,280 Speaker 1: a large pain point in emissions. There's another company to 292 00:14:12,320 --> 00:14:15,160 Speaker 1: mention we invested in recently called bio Squeeze, which has 293 00:14:15,200 --> 00:14:18,320 Speaker 1: invented a new way of permanently sealing oil and gas wells. 294 00:14:18,600 --> 00:14:21,320 Speaker 1: Some of these operators, like Halliburton, are spending millions of 295 00:14:21,360 --> 00:14:24,680 Speaker 1: dollars sealing and resealing oil and gas wells with no success. 296 00:14:25,000 --> 00:14:28,240 Speaker 1: And so these guys have invented a biomineralization technology that 297 00:14:28,360 --> 00:14:30,960 Speaker 1: is stronger than cement, that can shoot into these wells 298 00:14:31,120 --> 00:14:34,280 Speaker 1: and permanently seal them, which may one day even replace 299 00:14:34,320 --> 00:14:36,720 Speaker 1: cement in all infrastructure one day, is what we hope. 300 00:14:37,040 --> 00:14:39,160 Speaker 1: There's some exciting things happening around methane. 301 00:14:39,280 --> 00:14:43,360 Speaker 2: So this year's cop Conference of Parties about Climate change 302 00:14:44,240 --> 00:14:48,200 Speaker 2: ends up with governments making a number of commitments and 303 00:14:48,240 --> 00:14:52,200 Speaker 2: a lot of nonprofits joining in in those commitments to 304 00:14:52,280 --> 00:14:55,960 Speaker 2: get towards a carbon neutral But it kind of raises 305 00:14:55,960 --> 00:14:59,000 Speaker 2: the question is that as effective as what you do 306 00:14:59,600 --> 00:15:03,800 Speaker 2: in entire terms of venture capital and startups that are 307 00:15:03,840 --> 00:15:10,280 Speaker 2: looking to in the private sector combat climate change for profit. 308 00:15:10,760 --> 00:15:14,680 Speaker 1: It's all required. Every single aspect of society will be 309 00:15:14,760 --> 00:15:17,760 Speaker 1: impacted by climate change, and so every single aspect of 310 00:15:17,760 --> 00:15:21,480 Speaker 1: society has something to contribute, and every asset class of capital, 311 00:15:22,200 --> 00:15:25,760 Speaker 1: from private equity to growth to debt, will have to 312 00:15:25,760 --> 00:15:29,600 Speaker 1: play a role. The reason governments are so centrally important 313 00:15:29,720 --> 00:15:32,520 Speaker 1: is that it's not enough for us to look at 314 00:15:32,600 --> 00:15:35,240 Speaker 1: business pain points caused by climate of which there are many, 315 00:15:35,280 --> 00:15:39,640 Speaker 1: by the way, supply chain disruption, extreme weather events. But 316 00:15:39,720 --> 00:15:42,120 Speaker 1: you also need to start creating sticks at the same 317 00:15:42,160 --> 00:15:44,640 Speaker 1: time to push fossil fuels off a cliff. And so 318 00:15:44,960 --> 00:15:47,440 Speaker 1: I'm encouraged by the fact, for example, that internal combustion 319 00:15:47,520 --> 00:15:49,840 Speaker 1: engine vehicles will be banned all together in the state 320 00:15:49,840 --> 00:15:53,240 Speaker 1: of California in ten years. Similarly, France has banned all 321 00:15:53,240 --> 00:15:56,200 Speaker 1: internal combustion flights within its own borders in the next 322 00:15:56,200 --> 00:15:58,960 Speaker 1: ten years, and so these sticks are also important to 323 00:15:59,000 --> 00:16:02,800 Speaker 1: intersect with the care that help new technologies mature fast 324 00:16:02,920 --> 00:16:05,680 Speaker 1: enough to replace them, and there will be a fundamental 325 00:16:05,720 --> 00:16:07,920 Speaker 1: rewiring of the economy that takes place as a result. 326 00:16:08,000 --> 00:16:11,440 Speaker 1: When you think of every single aspect of industry, steel making, 327 00:16:11,840 --> 00:16:14,920 Speaker 1: fertilizer that you know, ten trillion dollars of ebidel will 328 00:16:14,920 --> 00:16:17,120 Speaker 1: be at stake in this turnover, and so there's an 329 00:16:17,280 --> 00:16:20,440 Speaker 1: enormous prize for those that can innovate quickly and help decarbonize. 330 00:16:20,560 --> 00:16:24,680 Speaker 2: You mentioned the company that seals up well heads. Bloomberg 331 00:16:24,760 --> 00:16:27,440 Speaker 2: had an article not too long ago about what a 332 00:16:27,680 --> 00:16:33,280 Speaker 2: massive carbon footprint concrete manufacturing has. Tell us a little 333 00:16:33,280 --> 00:16:38,120 Speaker 2: bit about that technology that theoretically you might replace concrete 334 00:16:38,120 --> 00:16:38,680 Speaker 2: in the future. 335 00:16:39,520 --> 00:16:42,120 Speaker 1: You know, one of the central insights here is that 336 00:16:42,200 --> 00:16:46,640 Speaker 1: industrial heat is the key input to manufacturing just about anything. 337 00:16:47,080 --> 00:16:49,720 Speaker 1: If you think about steel making from iron, if you 338 00:16:49,760 --> 00:16:52,320 Speaker 1: think about concrete, if you think about a lot of 339 00:16:52,360 --> 00:16:56,840 Speaker 1: food and ethanol methanol production, all of it requires in 340 00:16:56,880 --> 00:16:59,520 Speaker 1: the United States alone, one hundred and forty billion dollars 341 00:16:59,520 --> 00:17:01,920 Speaker 1: worth of industrial heat, almost all of which comes from 342 00:17:02,000 --> 00:17:05,200 Speaker 1: natural gas or coal. And to get really high temperatures 343 00:17:05,240 --> 00:17:08,119 Speaker 1: from that heat, is sometimes difficult, and so there are 344 00:17:08,160 --> 00:17:11,879 Speaker 1: breakthrough technologies. We're excited about one called Antra in particular, 345 00:17:12,280 --> 00:17:15,160 Speaker 1: financed by Bill Gates and Chris Sokka and by Overture, 346 00:17:15,560 --> 00:17:18,480 Speaker 1: and these three Stanford PhDs have figured out a way 347 00:17:18,520 --> 00:17:22,480 Speaker 1: to take grid connected renewable electricity and produce industrial heat 348 00:17:22,480 --> 00:17:25,560 Speaker 1: above eighteen hundred degrees celsius. And when you think about 349 00:17:25,560 --> 00:17:29,399 Speaker 1: the hardest to decarbonize industries, you know, about ninety five 350 00:17:29,480 --> 00:17:32,719 Speaker 1: percent of all industrial manufacturing can be decarbonized with that 351 00:17:32,800 --> 00:17:35,680 Speaker 1: kind of heat. And what's amazing about this company is 352 00:17:35,680 --> 00:17:37,920 Speaker 1: they're not going you know, it's called the mister Burns test. 353 00:17:37,960 --> 00:17:40,720 Speaker 1: I can go to a conglomerate who does not care 354 00:17:40,760 --> 00:17:43,359 Speaker 1: a lick about climate change and convince them that I 355 00:17:43,400 --> 00:17:47,240 Speaker 1: can save them opex with this decarbonized solution. It has 356 00:17:47,320 --> 00:17:49,360 Speaker 1: nothing to do with climate change in their minds, and. 357 00:17:49,280 --> 00:17:52,040 Speaker 2: They just still want investment of money saving opportunity for 358 00:17:52,440 --> 00:17:53,359 Speaker 2: companies in the space. 359 00:17:53,400 --> 00:17:56,400 Speaker 1: So the coke industries is behind this company has taken 360 00:17:56,440 --> 00:17:58,480 Speaker 1: them to a lot of their conglomerates and it's a 361 00:17:58,520 --> 00:18:01,560 Speaker 1: really exciting technology because it is just beating natural gas 362 00:18:01,640 --> 00:18:03,800 Speaker 1: at its own game. And that is you know, a 363 00:18:03,840 --> 00:18:06,200 Speaker 1: theory of change for us is that if you can 364 00:18:06,320 --> 00:18:09,840 Speaker 1: beat natural gas at its own game and save conglomerates 365 00:18:09,840 --> 00:18:12,639 Speaker 1: and big businesses money, they will adopt your technologies. It 366 00:18:12,640 --> 00:18:15,639 Speaker 1: becomes more challenging when you're bringing them green premiums and 367 00:18:15,680 --> 00:18:16,840 Speaker 1: things that are a little more expensive. 368 00:18:17,000 --> 00:18:20,040 Speaker 2: So correct my ignorance, if you will. I look at 369 00:18:20,119 --> 00:18:25,240 Speaker 2: natural gas as a transitional energy source from oil and 370 00:18:25,280 --> 00:18:30,760 Speaker 2: coal to ultimately renewables. Tell me where that thesis is wrong. 371 00:18:31,040 --> 00:18:34,639 Speaker 1: It was correct. It was absolutely a better source of 372 00:18:34,680 --> 00:18:37,560 Speaker 1: fuel than coal, which you know produces black suit and 373 00:18:37,600 --> 00:18:39,080 Speaker 1: all kinds of problems and diesel. 374 00:18:39,520 --> 00:18:43,080 Speaker 2: Now the what about clean coal? The case face. 375 00:18:43,160 --> 00:18:45,520 Speaker 1: The key is to now transition from natural gas. You know, 376 00:18:45,640 --> 00:18:49,200 Speaker 1: natural gas is a is a nice word for methane. 377 00:18:49,240 --> 00:18:52,560 Speaker 1: It's primarily methane, and methane is about eighty times more 378 00:18:52,600 --> 00:18:55,840 Speaker 1: warming than carbon dioxide. And so if carbon dioxide is 379 00:18:55,840 --> 00:18:58,080 Speaker 1: one blanket thick to keep the earth warm, you can 380 00:18:58,119 --> 00:19:01,440 Speaker 1: think of Lebron James height blanket to trap the molecule 381 00:19:01,480 --> 00:19:04,760 Speaker 1: traps far more heat and doesn't allow our sunlight to 382 00:19:04,880 --> 00:19:07,760 Speaker 1: radiate back to outer space as it should. And so 383 00:19:08,400 --> 00:19:12,600 Speaker 1: the key now is that renewables have this extensive runway 384 00:19:12,720 --> 00:19:15,000 Speaker 1: since we thought of natural gas as a bridge fuel, 385 00:19:15,400 --> 00:19:20,760 Speaker 1: And candidly, the lowest costs of energy today are solar 386 00:19:20,760 --> 00:19:23,359 Speaker 1: and wind, and so businesses can make rational decisions to 387 00:19:23,400 --> 00:19:27,639 Speaker 1: adopt them. And the key is to now sort of 388 00:19:27,680 --> 00:19:30,159 Speaker 1: transition us off this sticky drug that we've been addicted 389 00:19:30,200 --> 00:19:30,880 Speaker 1: to for some time. 390 00:19:31,320 --> 00:19:35,200 Speaker 2: That wasn't true a couple of years ago. Renewable energies 391 00:19:35,560 --> 00:19:40,960 Speaker 2: like solar and wind were pricier than natural gas and oil. Today, 392 00:19:41,280 --> 00:19:46,440 Speaker 2: the price of solar and wind just keeps falling and falling. 393 00:19:47,320 --> 00:19:51,800 Speaker 2: Is it accurate to say on a per kilowatt basis 394 00:19:52,240 --> 00:19:54,680 Speaker 2: they are now cheaper than carbon based fuel. 395 00:19:54,960 --> 00:19:58,199 Speaker 1: They are absolutely the cheapest forms of electricity available in 396 00:19:58,200 --> 00:20:02,160 Speaker 1: most places in the world today. A staggering statistic. The 397 00:20:02,280 --> 00:20:05,399 Speaker 1: capex of a new solar plant is today cheaper than 398 00:20:05,440 --> 00:20:08,480 Speaker 1: the opex the annual opex of a coal plant real 399 00:20:08,520 --> 00:20:10,520 Speaker 1: and so these things, you know, the human mind is 400 00:20:10,560 --> 00:20:15,399 Speaker 1: some sometimes bad at tracking exponential change. The logarithmic drop 401 00:20:15,840 --> 00:20:19,720 Speaker 1: in solar and wind prices continually surprises even the most 402 00:20:19,720 --> 00:20:22,800 Speaker 1: bullish analysts. And I think the same is now coming 403 00:20:22,840 --> 00:20:25,120 Speaker 1: true for lithium ion and a lot of these other 404 00:20:25,200 --> 00:20:29,280 Speaker 1: technologies and so we are dropping down these logarithmic cost curves. 405 00:20:29,520 --> 00:20:33,000 Speaker 1: And what's interesting is I think there's a geopolitical reality 406 00:20:33,040 --> 00:20:35,879 Speaker 1: today in a global contest for power with China, the 407 00:20:35,960 --> 00:20:38,560 Speaker 1: countries that are able to have the lowest cost of 408 00:20:38,840 --> 00:20:42,520 Speaker 1: plentiful energy that does not require any kind of foreign inputs, 409 00:20:42,560 --> 00:20:45,080 Speaker 1: that has a domestic supply chain underneath it, that can 410 00:20:45,119 --> 00:20:47,639 Speaker 1: produce that energy on their own, that will be one 411 00:20:47,680 --> 00:20:50,560 Speaker 1: of the key key drivers to global heged demonic success 412 00:20:50,560 --> 00:20:54,040 Speaker 1: in this new world, coupled with next generation compute that's 413 00:20:54,080 --> 00:20:57,040 Speaker 1: also within our own supply chain. And so the last 414 00:20:57,040 --> 00:20:59,919 Speaker 1: time we saw a great power struggle like this was 415 00:21:00,040 --> 00:21:05,240 Speaker 1: in the semiconductor boom, where where Faild, Fairchild, semiconductors, Intel 416 00:21:05,480 --> 00:21:09,159 Speaker 1: Texas instruments were built. Those were not like the bits 417 00:21:09,200 --> 00:21:11,879 Speaker 1: that are traded in software today. Those were atoms. It 418 00:21:11,920 --> 00:21:15,240 Speaker 1: was hardware investing that governments were deeply involved in. So 419 00:21:15,720 --> 00:21:18,440 Speaker 1: the fifty percent of the revenue of Fairchild in the 420 00:21:18,480 --> 00:21:21,719 Speaker 1: early days came from the Pentagon. Similarly, TSMC when it 421 00:21:21,760 --> 00:21:24,720 Speaker 1: was built, fifty percent of that CAPEX was handled by Taiwan, 422 00:21:24,920 --> 00:21:27,400 Speaker 1: And when Samsung went into semiconductors, the same proof true 423 00:21:27,400 --> 00:21:29,359 Speaker 1: of the South Korean government. The same is going to 424 00:21:29,359 --> 00:21:31,480 Speaker 1: be true of climate investing today. A lot of the 425 00:21:31,560 --> 00:21:35,080 Speaker 1: innovative hardware must be built today and that will require 426 00:21:35,200 --> 00:21:41,120 Speaker 1: intense government involvement. And that's why overtures thesis is that 427 00:21:41,240 --> 00:21:44,520 Speaker 1: investors that deeply understand and can navigate government and regulatory 428 00:21:44,560 --> 00:21:47,800 Speaker 1: complexity can actually produce alpha for their investors. Because it's 429 00:21:47,840 --> 00:21:49,880 Speaker 1: a bit like in World War Two, if you knew 430 00:21:49,880 --> 00:21:51,800 Speaker 1: what the US government needed, if they were going to 431 00:21:51,920 --> 00:21:55,359 Speaker 1: need to pay betting manufacturers to make parachutes, you know, 432 00:21:55,400 --> 00:21:58,199 Speaker 1: that's an important insight to be able to drive the 433 00:21:58,200 --> 00:21:59,200 Speaker 1: best investments through. 434 00:21:59,640 --> 00:22:03,360 Speaker 2: Really really very interesting. So let's talk a little bit 435 00:22:03,520 --> 00:22:08,000 Speaker 2: about what you look for in a climate investment. Is 436 00:22:08,000 --> 00:22:11,560 Speaker 2: this about looking for companies that are going to be 437 00:22:11,640 --> 00:22:14,679 Speaker 2: casual and positive right away or are you willing to 438 00:22:14,800 --> 00:22:17,320 Speaker 2: be a little more long term in your thinking? 439 00:22:18,000 --> 00:22:20,640 Speaker 1: Venture capital is an incredibly patient game, right on average 440 00:22:20,720 --> 00:22:23,480 Speaker 1: ten to twelve year positions you're taking, as we saw 441 00:22:23,480 --> 00:22:25,760 Speaker 1: with Union Score Ventures is first fund. I think it 442 00:22:25,800 --> 00:22:28,600 Speaker 1: took them almost sixteen years from start to finish. 443 00:22:28,680 --> 00:22:31,080 Speaker 2: So it's an incredibly that worked out pretty well, didn't. 444 00:22:30,840 --> 00:22:34,359 Speaker 1: Worked out great. It's an incredibly patient, deeply liquid game. 445 00:22:34,880 --> 00:22:37,199 Speaker 1: But you know, to radically oversimplify what we look for. 446 00:22:37,359 --> 00:22:41,320 Speaker 1: We're looking for visionary, unbelievable founders. Founders are the soul 447 00:22:41,800 --> 00:22:46,080 Speaker 1: of startups, and we're looking for unbelievable founders with deep 448 00:22:46,160 --> 00:22:51,760 Speaker 1: expertise in what they're building, coupled with differentiated technology that 449 00:22:51,840 --> 00:22:55,119 Speaker 1: can help unlock gigantic markets. And so to give you 450 00:22:55,160 --> 00:22:58,600 Speaker 1: a couple of examples, we're investors in a company called Dextmat, 451 00:22:59,000 --> 00:23:03,200 Speaker 1: which has invented a carbon nanotube technology that is stronger 452 00:23:03,200 --> 00:23:06,880 Speaker 1: than steel, lighter than aluminum, and more conductive than copper. 453 00:23:07,359 --> 00:23:09,640 Speaker 1: Copper is going to be one of the most important 454 00:23:09,640 --> 00:23:12,800 Speaker 1: metals in all of electrification. Aluminum is in every aircraft 455 00:23:12,800 --> 00:23:16,480 Speaker 1: and every airplane, a lot of phone poles and wires, 456 00:23:16,760 --> 00:23:21,159 Speaker 1: and steel is steel. This technology might fully decarbonize in 457 00:23:21,160 --> 00:23:25,119 Speaker 1: a carbon negative way a metal that is stronger, more conductive, 458 00:23:25,200 --> 00:23:29,040 Speaker 1: and lighter. And so those are our moonshot examples of 459 00:23:29,080 --> 00:23:31,159 Speaker 1: what we're looking for, and that require a lot of 460 00:23:31,200 --> 00:23:34,119 Speaker 1: technological and go to market innovation to be successful. But 461 00:23:34,200 --> 00:23:36,800 Speaker 1: if they are, I think there are trillion dollar rewards 462 00:23:36,800 --> 00:23:37,520 Speaker 1: on the other side. 463 00:23:37,680 --> 00:23:42,160 Speaker 2: So you're looking to replace the skin of aircraft, perhaps 464 00:23:42,240 --> 00:23:47,640 Speaker 2: the body of automobiles, the wires on interstate or local 465 00:23:48,480 --> 00:23:54,440 Speaker 2: electronic transmission, electricity transmission, and even things like telephone wires 466 00:23:54,520 --> 00:23:58,240 Speaker 2: and internet wires or is it am I overstating that 467 00:23:58,240 --> 00:23:58,640 Speaker 2: that's right? 468 00:23:58,680 --> 00:24:02,520 Speaker 1: And the company today is, you know, the production of 469 00:24:02,600 --> 00:24:06,960 Speaker 1: their of their metal is so expensive that only ultra 470 00:24:07,000 --> 00:24:12,520 Speaker 1: advanced defense manufacturers and companies testing R and D can 471 00:24:12,560 --> 00:24:14,880 Speaker 1: afford it. The bet is that they can drive down 472 00:24:14,920 --> 00:24:17,520 Speaker 1: the cost by one thousand, you know, one one thousandth 473 00:24:17,880 --> 00:24:20,879 Speaker 1: the cost over time and produce something that is just 474 00:24:21,040 --> 00:24:24,600 Speaker 1: better than the industrial inputs that have very carbon intensive 475 00:24:24,600 --> 00:24:27,239 Speaker 1: emissions footprints, as we've mentioned before. And so if you're 476 00:24:27,240 --> 00:24:30,119 Speaker 1: an aircraft and can find something lighter than aluminium that 477 00:24:30,160 --> 00:24:33,800 Speaker 1: can help your aircraft travel farther, that's a money saver 478 00:24:33,920 --> 00:24:34,480 Speaker 1: for the company. 479 00:24:34,520 --> 00:24:38,359 Speaker 2: And so those does material science have the equivalent of 480 00:24:38,400 --> 00:24:39,240 Speaker 2: a Moore's law. 481 00:24:40,080 --> 00:24:44,240 Speaker 1: It does, And interestingly a lot of the materials today 482 00:24:44,440 --> 00:24:48,959 Speaker 1: are reaching that high point. Right at some point, semiconductors 483 00:24:49,040 --> 00:24:51,879 Speaker 1: are reaching the theoretical limits of how many transistors you can 484 00:24:51,880 --> 00:24:54,920 Speaker 1: wedge in. And so that's why innovating with ferro electric 485 00:24:55,040 --> 00:24:58,520 Speaker 1: materials and using AI to be able to optimize all 486 00:24:58,560 --> 00:25:00,880 Speaker 1: of the dizzing different kind of material combinations we can 487 00:25:00,920 --> 00:25:03,320 Speaker 1: consider is what we need to do for this next 488 00:25:03,400 --> 00:25:06,400 Speaker 1: layer of industrial revolution. So when you consider just the 489 00:25:06,440 --> 00:25:10,960 Speaker 1: ten trillion in ebidah, start considering every manufacturing process today 490 00:25:11,000 --> 00:25:14,160 Speaker 1: as we do it, every food production process, the way 491 00:25:14,200 --> 00:25:17,280 Speaker 1: we move ourselves with transportation, the way we grow food 492 00:25:17,280 --> 00:25:20,000 Speaker 1: in agriculture, all of this is going to have to 493 00:25:20,040 --> 00:25:22,639 Speaker 1: reorient in about fifty years. If you believe the science 494 00:25:23,040 --> 00:25:27,000 Speaker 1: and old conglomerates, large scale conglomerates aren't usually not the 495 00:25:27,000 --> 00:25:30,040 Speaker 1: places that drive innovation, and that's what makes venture such 496 00:25:30,080 --> 00:25:32,480 Speaker 1: an interesting catalytic. A SI class to me in climate. 497 00:25:32,800 --> 00:25:34,879 Speaker 1: I am not doing this out of the goodness of 498 00:25:34,920 --> 00:25:37,119 Speaker 1: my heart. I candidly kind of missed the Internet. I 499 00:25:37,160 --> 00:25:39,439 Speaker 1: was so involved in politics. And if you consider some 500 00:25:39,480 --> 00:25:44,640 Speaker 1: of the megacycles software eating the world, China opening up 501 00:25:44,920 --> 00:25:47,200 Speaker 1: ultra low cost interest rates, I think this is another 502 00:25:47,560 --> 00:25:50,200 Speaker 1: megacycle coming and I don't want to miss it. And 503 00:25:50,520 --> 00:25:52,960 Speaker 1: like all megacycles, being early is the same as being wrong. 504 00:25:53,080 --> 00:25:55,680 Speaker 1: And so a lot of our job is timing our 505 00:25:55,720 --> 00:25:59,000 Speaker 1: bets to make sure where can technoeconomics just beat fossil 506 00:25:59,000 --> 00:26:01,200 Speaker 1: fuels invest behind that right now? 507 00:26:01,280 --> 00:26:04,919 Speaker 2: So let's talk about some of those different spaces. I 508 00:26:04,960 --> 00:26:07,240 Speaker 2: want to throw out some broad topics. You tell me 509 00:26:07,800 --> 00:26:10,680 Speaker 2: what you think about those and what sort of investments 510 00:26:10,760 --> 00:26:14,160 Speaker 2: you would be looking at or have already made in those. 511 00:26:14,840 --> 00:26:18,679 Speaker 2: And let's start with carbon capture. You know, some people 512 00:26:18,680 --> 00:26:22,840 Speaker 2: have said we can solve climate change by just taking 513 00:26:22,880 --> 00:26:26,679 Speaker 2: all this excess carbon that's in the air. What do 514 00:26:26,680 --> 00:26:28,320 Speaker 2: you think about carbon capture? 515 00:26:28,880 --> 00:26:32,640 Speaker 1: I think if you believe the science, the IPCC has 516 00:26:32,680 --> 00:26:36,760 Speaker 1: stated we're going to need to remove ten billion tons 517 00:26:36,880 --> 00:26:40,439 Speaker 1: of carbon every year by the year twenty fifty. And 518 00:26:40,520 --> 00:26:41,919 Speaker 1: if you look at what we did last year, we 519 00:26:41,920 --> 00:26:44,440 Speaker 1: did about six thousand tons. So there's a two million 520 00:26:44,600 --> 00:26:46,879 Speaker 1: x scale up that has to happen, or a seventy 521 00:26:46,880 --> 00:26:49,360 Speaker 1: four percent cager, which is twice the growth of software. 522 00:26:49,640 --> 00:26:52,359 Speaker 1: So there's an enormous undertaking. The question for us is 523 00:26:52,960 --> 00:26:56,640 Speaker 1: what is the lowest cost, most scalable, more most efficient 524 00:26:56,760 --> 00:27:00,320 Speaker 1: version of this. Direct air capture today still pencils around 525 00:27:00,359 --> 00:27:04,800 Speaker 1: sixteen hundred dollars per ton, enormously electricity intensive. We have 526 00:27:04,920 --> 00:27:07,760 Speaker 1: drifted a little bit more towards two categories. The first 527 00:27:07,800 --> 00:27:10,440 Speaker 1: is enhanced rock weathering. We're investors in a company called 528 00:27:10,520 --> 00:27:14,719 Speaker 1: ion that has pulverized a certain silicate rock called olivine 529 00:27:14,920 --> 00:27:18,800 Speaker 1: that can help basically grow more crops for farmers. They're 530 00:27:18,920 --> 00:27:21,879 Speaker 1: very familiar with it. It's basically a form of fertilizer, 531 00:27:22,040 --> 00:27:25,240 Speaker 1: while it also sucks carbon out of the atmosphere permanently. 532 00:27:25,640 --> 00:27:28,240 Speaker 1: Very excited about technologies like that. We're also investors in 533 00:27:28,280 --> 00:27:31,640 Speaker 1: a company called Climate Robotics that is similarly taking agricultural 534 00:27:31,680 --> 00:27:34,480 Speaker 1: waste and pyalizing it, basically cooking it in an oxygen 535 00:27:34,520 --> 00:27:37,800 Speaker 1: free environment and producing something called biochar, which is an 536 00:27:37,880 --> 00:27:42,080 Speaker 1: excellent soil amendment. It helps crops grow more, Farmers crave biochar, 537 00:27:42,359 --> 00:27:45,280 Speaker 1: but it also sequesters carbon for at least a thousand 538 00:27:45,320 --> 00:27:47,240 Speaker 1: years according to a new white paper. And so we're 539 00:27:47,280 --> 00:27:49,440 Speaker 1: really excited about companies and technologies like this. 540 00:27:49,640 --> 00:27:53,040 Speaker 2: Huh, really interesting. What about just straight up energy production? 541 00:27:53,600 --> 00:27:59,600 Speaker 2: It seems like it's been mostly incremental improvements in the 542 00:27:59,760 --> 00:28:05,000 Speaker 2: cost of solar and winds, but not so much the productivity. 543 00:28:04,760 --> 00:28:09,360 Speaker 2: They've also been very very gradual. Do we need an 544 00:28:09,520 --> 00:28:14,239 Speaker 2: order of magnitude improvement in the production of energy or 545 00:28:14,320 --> 00:28:16,280 Speaker 2: is it just something we're going to grind away at 546 00:28:16,320 --> 00:28:17,600 Speaker 2: for decades at a time. 547 00:28:17,800 --> 00:28:21,000 Speaker 1: We need a paradigm shift and energy production. You know, 548 00:28:21,040 --> 00:28:23,600 Speaker 1: if you're gonna electrify everything, think for a moment about 549 00:28:24,040 --> 00:28:28,040 Speaker 1: electrifying every form of vehicle transportation. You're not gonna have 550 00:28:28,080 --> 00:28:30,159 Speaker 1: gas stations anymore. You're gonna have to charge them. And 551 00:28:30,200 --> 00:28:32,680 Speaker 1: so that estimates are that the United States is gonna 552 00:28:32,720 --> 00:28:35,960 Speaker 1: have to triple its energy product, its electricity production, and 553 00:28:36,080 --> 00:28:39,680 Speaker 1: its borders alone over the next fifteen to twenty five years. 554 00:28:39,680 --> 00:28:42,640 Speaker 1: An enormous undertaking. Right this we're talking about trillion dollar 555 00:28:43,120 --> 00:28:46,480 Speaker 1: capex required to be able to reinvent the grid. And 556 00:28:46,600 --> 00:28:48,520 Speaker 1: at the heart of this is where can you dry 557 00:28:49,160 --> 00:28:51,920 Speaker 1: drive the lowest cost electricity and have it to be 558 00:28:52,040 --> 00:28:55,840 Speaker 1: available plentifully and infirm power twenty four to seven and 559 00:28:55,920 --> 00:28:58,400 Speaker 1: so storage and I think batteries will be there. 560 00:28:58,400 --> 00:29:01,200 Speaker 2: That's my next question is, you know, I don't believe 561 00:29:01,200 --> 00:29:04,600 Speaker 2: lithium ee on is the end game in battery storage. 562 00:29:04,840 --> 00:29:07,520 Speaker 2: They're just too big and too heavy and they have 563 00:29:07,600 --> 00:29:11,680 Speaker 2: a fairly short life cycle. What's the next phase in 564 00:29:11,800 --> 00:29:14,480 Speaker 2: batteries that are going to be lighter, are going to 565 00:29:14,600 --> 00:29:18,640 Speaker 2: improve range, allow you to use smaller batteries, and aren't 566 00:29:18,720 --> 00:29:23,800 Speaker 2: gonna start dying after a thousand full charges and discharges, 567 00:29:24,200 --> 00:29:26,560 Speaker 2: but have a lifespan of ten thousand or one hundred 568 00:29:26,560 --> 00:29:27,400 Speaker 2: thousand charges. 569 00:29:27,720 --> 00:29:30,680 Speaker 1: You know, there are a lot of interesting things happening 570 00:29:30,760 --> 00:29:32,920 Speaker 1: in fusion right now that we're tracking. We have not 571 00:29:32,960 --> 00:29:36,480 Speaker 1: made an investment, but I think the rate of exponential 572 00:29:36,480 --> 00:29:39,840 Speaker 1: improvement and possibility in fusion is coming much faster than 573 00:29:39,840 --> 00:29:40,760 Speaker 1: people realize. 574 00:29:40,960 --> 00:29:43,440 Speaker 2: And in the nuclear fusion like what drives the sun 575 00:29:43,520 --> 00:29:45,560 Speaker 2: and stars at the universe. 576 00:29:45,640 --> 00:29:49,840 Speaker 1: Correct, So commonwealth fusion companies like Avalanches, which are in 577 00:29:49,840 --> 00:29:53,080 Speaker 1: the lower carbon portfolio, incredibly exciting. In the interim, there's 578 00:29:53,200 --> 00:29:56,400 Speaker 1: interesting innovation for grid scale storage coming from companies like 579 00:29:56,440 --> 00:29:59,600 Speaker 1: form Energy and hopefully and Torah in our portfolio is 580 00:29:59,600 --> 00:30:02,320 Speaker 1: also going to to provide a huge storage buffer. And so, 581 00:30:02,360 --> 00:30:05,200 Speaker 1: as you correctly note, lithium ion is ill suited for 582 00:30:05,280 --> 00:30:07,760 Speaker 1: long duration storage, right for forty six hours, If you 583 00:30:07,760 --> 00:30:10,160 Speaker 1: need to slam something quickly, it's perfect. And so we 584 00:30:10,200 --> 00:30:13,440 Speaker 1: think lithium ion will continue to power most electric vehicles, 585 00:30:13,680 --> 00:30:17,440 Speaker 1: electric aircraft, but for grid scale, long duration storage, you're 586 00:30:17,440 --> 00:30:19,680 Speaker 1: going to require innovation, and that innovation is going to 587 00:30:19,760 --> 00:30:22,240 Speaker 1: have hundreds of billions of dollars of reward waiting. On 588 00:30:22,280 --> 00:30:22,959 Speaker 1: the other side of it. 589 00:30:23,200 --> 00:30:27,200 Speaker 2: You mentioned fusion. What about I keep reading about the 590 00:30:27,280 --> 00:30:32,040 Speaker 2: smaller scale traditional fission nuclear plants. We haven't built a 591 00:30:32,080 --> 00:30:36,000 Speaker 2: new nuclear plant in the United States for decades. That 592 00:30:36,240 --> 00:30:38,240 Speaker 2: seems to be changing now there are a few small 593 00:30:38,280 --> 00:30:42,000 Speaker 2: scale plants coming online. How do you look at nuclear? 594 00:30:42,440 --> 00:30:44,520 Speaker 1: You know, I'm a bit of more of a skeptic. 595 00:30:44,600 --> 00:30:46,440 Speaker 1: I think in the tech communities you get a lot 596 00:30:46,480 --> 00:30:48,120 Speaker 1: of folks who roll their eyes and say, just build 597 00:30:48,200 --> 00:30:51,400 Speaker 1: nuclear and you'll be fine. The cost overruns in nuclear 598 00:30:51,440 --> 00:30:54,760 Speaker 1: have been astronomic, and in building the grid scale plants, 599 00:30:54,840 --> 00:30:58,240 Speaker 1: everyone is different. Whereas the South Koreans are stamping out 600 00:30:58,320 --> 00:31:01,480 Speaker 1: units and learning from them increasingly over time, we don't 601 00:31:01,520 --> 00:31:04,760 Speaker 1: have those learnings here and so on average, a nuclear 602 00:31:04,760 --> 00:31:07,080 Speaker 1: plant is taking twenty years to build. Way too, it 603 00:31:07,120 --> 00:31:09,880 Speaker 1: is going three hundred percent over cost, and so I 604 00:31:09,920 --> 00:31:12,920 Speaker 1: am excited about the miniaturized nuclear applications. We're going to 605 00:31:13,000 --> 00:31:15,520 Speaker 1: need a lot of energy to do things like electrolyzed hydrogen, 606 00:31:15,880 --> 00:31:18,760 Speaker 1: and that's going to be incredibly electricity intensive and potentially 607 00:31:18,800 --> 00:31:22,240 Speaker 1: power direct air capture. So I think there's certain use 608 00:31:22,280 --> 00:31:24,360 Speaker 1: cases there, But again to learn that, you have to 609 00:31:24,440 --> 00:31:27,320 Speaker 1: modularize and build a factory method that allows you to 610 00:31:27,360 --> 00:31:30,120 Speaker 1: iterate and improve on your production, not build these one 611 00:31:30,120 --> 00:31:32,520 Speaker 1: off plants that are all looking different, all running out 612 00:31:32,560 --> 00:31:33,760 Speaker 1: of money, all over cost. 613 00:31:33,960 --> 00:31:38,640 Speaker 2: I remember about a decade ago the Great reactor hope 614 00:31:38,640 --> 00:31:42,800 Speaker 2: with thorium kind of fell of the off the front pages. 615 00:31:43,160 --> 00:31:45,640 Speaker 2: What's going on in that space? You know? 616 00:31:45,800 --> 00:31:47,920 Speaker 1: I think a big challenge here is that there's real 617 00:31:48,040 --> 00:31:51,120 Speaker 1: national security issues around building nuclear plants. And if you 618 00:31:51,120 --> 00:31:53,640 Speaker 1: talk to the national security community, you know they're very 619 00:31:53,720 --> 00:31:56,600 Speaker 1: worried about being able to take enriched uranium and build 620 00:31:56,640 --> 00:32:00,000 Speaker 1: dirty bombs out of it. And so if you couple 621 00:32:00,520 --> 00:32:03,120 Speaker 1: the amount of intense regulatory scrutiny out of the nuclear 622 00:32:02,800 --> 00:32:05,800 Speaker 1: regulatory world, which is the most brutal place if you 623 00:32:05,840 --> 00:32:09,920 Speaker 1: want to talk about regulatory risk, national con security considerations, 624 00:32:10,000 --> 00:32:13,080 Speaker 1: costs over runs, time, and a lack of deep specialization 625 00:32:13,160 --> 00:32:16,160 Speaker 1: in this country, I think candidly we're better off investing 626 00:32:16,200 --> 00:32:20,680 Speaker 1: in wind water through hydroelectric power, solar and batteries. Those 627 00:32:20,720 --> 00:32:23,200 Speaker 1: are scaled and ready to be deployed right now. And 628 00:32:23,280 --> 00:32:26,200 Speaker 1: fusion already happens right We're already harnessing the energy of 629 00:32:26,200 --> 00:32:28,840 Speaker 1: the sun in our solar panels. And so I am 630 00:32:29,040 --> 00:32:32,200 Speaker 1: personally more bullish on that as a method of deployment. 631 00:32:32,600 --> 00:32:35,960 Speaker 2: What do you think is the most exciting climate innovation 632 00:32:36,120 --> 00:32:38,320 Speaker 2: that we'll see come out in twenty twenty four. 633 00:32:40,800 --> 00:32:44,040 Speaker 1: I think a lot of the IRA incentives, the inflation 634 00:32:44,080 --> 00:32:47,480 Speaker 1: reduction X incentives, have yet to be realized in the market. 635 00:32:47,720 --> 00:32:51,160 Speaker 1: There's a provision in the IRA called forty five X, 636 00:32:51,680 --> 00:32:53,920 Speaker 1: and what forty five X does is, for the first 637 00:32:53,960 --> 00:32:57,120 Speaker 1: time since World War Two, pays OEMs to make things. 638 00:32:57,160 --> 00:32:59,280 Speaker 1: So back to my betting analogy, if you are a 639 00:32:59,320 --> 00:33:02,240 Speaker 1: betting manufacturer and the government wanted you to make parachutes, 640 00:33:02,480 --> 00:33:04,480 Speaker 1: they would just pay you to make those parachutes before 641 00:33:04,480 --> 00:33:06,840 Speaker 1: they even bought the parachute, and so you were going 642 00:33:06,920 --> 00:33:09,560 Speaker 1: to see a staggering scale of deployment. We're investors in 643 00:33:09,600 --> 00:33:12,560 Speaker 1: a company called Harbinger, which is an electric mid duty truck, 644 00:33:12,880 --> 00:33:15,400 Speaker 1: one of the most important vehicles on the road the 645 00:33:15,440 --> 00:33:18,400 Speaker 1: workhourses that drop off all of our e commerce delivery equipment. 646 00:33:18,760 --> 00:33:21,240 Speaker 1: There is nobody building a good mid duty truck today. 647 00:33:21,480 --> 00:33:24,040 Speaker 1: Harbinger is building a mid duty EV truck that is 648 00:33:24,080 --> 00:33:27,840 Speaker 1: going to beat ice trucks at their own game. Before incentives, 649 00:33:28,280 --> 00:33:30,560 Speaker 1: and when you factor in things like forty five x 650 00:33:30,840 --> 00:33:33,560 Speaker 1: this company Harbinger could have negative cogs. And so when 651 00:33:33,560 --> 00:33:36,160 Speaker 1: you think about what that means for the scale of deployment, 652 00:33:36,360 --> 00:33:39,280 Speaker 1: I would say the big surprise is not a particular technology. 653 00:33:39,280 --> 00:33:40,880 Speaker 1: It's just going to be the speed and scale of 654 00:33:40,920 --> 00:33:43,400 Speaker 1: deployment is going to singd your eyebrows. It's going to 655 00:33:43,400 --> 00:33:45,760 Speaker 1: be incredibly exciting. You know this. We're talking about a 656 00:33:45,800 --> 00:33:48,360 Speaker 1: trillion dollar wall of money coming from the US government 657 00:33:48,360 --> 00:33:50,720 Speaker 1: from the Infliction Reduction Act, the Chips Bill, and the 658 00:33:50,720 --> 00:33:53,680 Speaker 1: Infrastructure Bill to scale the deployment of a lot of 659 00:33:53,680 --> 00:33:57,080 Speaker 1: decarbonized technologies to remake the world as we've described it. 660 00:33:57,080 --> 00:33:58,719 Speaker 1: And so that's what gets me really excited. 661 00:33:58,960 --> 00:34:01,640 Speaker 2: Yeah, that sounds really really interesting. So one of the 662 00:34:01,680 --> 00:34:04,880 Speaker 2: things I wanted to ask you about. You had referenced 663 00:34:05,280 --> 00:34:08,799 Speaker 2: how in a lot of technologies the government is the 664 00:34:08,840 --> 00:34:14,879 Speaker 2: big mover, and we could talk about everything from railroads 665 00:34:14,920 --> 00:34:19,200 Speaker 2: and the telegraph to more recently semiconductors. The one thing 666 00:34:19,239 --> 00:34:24,680 Speaker 2: we didn't mention is how the government essentially has driven 667 00:34:24,719 --> 00:34:28,040 Speaker 2: the creation of the Internet through everything they did with 668 00:34:28,280 --> 00:34:34,600 Speaker 2: DARPA and having a essentially hardened response to a nuclear 669 00:34:34,640 --> 00:34:41,320 Speaker 2: attack is effectively where the Internet came from. 670 00:34:40,080 --> 00:34:43,600 Speaker 1: You know, surprised to learn every single component of the 671 00:34:43,640 --> 00:34:47,280 Speaker 1: iPhone from the touchscreen on down has an origination story 672 00:34:47,360 --> 00:34:48,840 Speaker 1: from US government programs. 673 00:34:49,360 --> 00:34:50,719 Speaker 2: I mean, if you look at what came out of 674 00:34:50,800 --> 00:34:53,720 Speaker 2: the moon landings and NASA, it's everything from the microwave 675 00:34:53,760 --> 00:35:00,239 Speaker 2: oven to arguably tang But I think we underestimate the 676 00:35:00,320 --> 00:35:04,479 Speaker 2: impact of that private public partnership. Tell us a little 677 00:35:04,520 --> 00:35:06,319 Speaker 2: bit about what you see in that space and what 678 00:35:06,320 --> 00:35:08,520 Speaker 2: it's going to mean for climate transition. 679 00:35:08,640 --> 00:35:11,120 Speaker 1: You know, I just watched Oppenheimer with my business partner 680 00:35:11,160 --> 00:35:12,319 Speaker 1: to me, and I don't know if you've seen that. 681 00:35:12,600 --> 00:35:16,560 Speaker 1: Oh fantastic sensational and it's such a terrific example of 682 00:35:16,719 --> 00:35:19,400 Speaker 1: how the US government can do things so much faster 683 00:35:19,800 --> 00:35:22,400 Speaker 1: when it puts its mind to it, and in emergencies, 684 00:35:22,440 --> 00:35:24,480 Speaker 1: and I believe climate change will be an emergency that 685 00:35:24,560 --> 00:35:26,680 Speaker 1: every will affect everybody, and we'll all have to spend 686 00:35:26,719 --> 00:35:30,239 Speaker 1: the rest of our lives solving together. There is no 687 00:35:30,800 --> 00:35:34,120 Speaker 1: entity large enough that can scale innovation quickly enough to 688 00:35:34,200 --> 00:35:36,120 Speaker 1: hit these net zero targets, and that's what makes it 689 00:35:36,160 --> 00:35:38,800 Speaker 1: such an important place. And you know, these national labs 690 00:35:38,800 --> 00:35:42,000 Speaker 1: started their origin from the Manhattan Project and they gave 691 00:35:42,080 --> 00:35:44,920 Speaker 1: us fission right. Ultimately, our nuclear plants came out of 692 00:35:44,920 --> 00:35:47,520 Speaker 1: the Manhattan Project, and it's a good example of what 693 00:35:47,640 --> 00:35:49,640 Speaker 1: happens when you get a lot of buying and a 694 00:35:49,640 --> 00:35:52,279 Speaker 1: lot of focus from government unlock things, which is what 695 00:35:52,520 --> 00:35:54,279 Speaker 1: the period of time we're about to enter right now in. 696 00:35:54,280 --> 00:35:57,400 Speaker 2: Clim So what other technologies do you find interesting? What 697 00:35:58,200 --> 00:35:59,960 Speaker 2: types of companies are you looking at? 698 00:36:00,920 --> 00:36:03,440 Speaker 1: So the heating and cooling of big buildings is a 699 00:36:03,440 --> 00:36:07,239 Speaker 1: place of major focus. The built environment buildings are responsible 700 00:36:07,239 --> 00:36:07,840 Speaker 1: for that. 701 00:36:07,560 --> 00:36:10,840 Speaker 2: That doesn't sound sexy and exigning that sounds like it 702 00:36:10,880 --> 00:36:15,560 Speaker 2: should be basic efficiency and blocking and tackling. But every 703 00:36:15,640 --> 00:36:17,759 Speaker 2: large you know, you look in a city like New 704 00:36:17,840 --> 00:36:22,160 Speaker 2: York or Chicago, it's an immense amount of energy consumption. 705 00:36:21,719 --> 00:36:25,600 Speaker 1: An immense amount of fossil fuel energy, using natural gas, 706 00:36:25,640 --> 00:36:28,440 Speaker 1: still using diesel, still using coal in some cases as 707 00:36:28,480 --> 00:36:31,560 Speaker 1: parts of the world, and yet everybody's urbanizing, we're building 708 00:36:31,600 --> 00:36:34,920 Speaker 1: bigger buildings, and it's becoming an opex headache in some cases. 709 00:36:34,920 --> 00:36:37,319 Speaker 1: And so we're investors in a company called Bedrock that 710 00:36:37,360 --> 00:36:40,200 Speaker 1: I'm excited to announce. This is a technology founded by 711 00:36:40,280 --> 00:36:42,880 Speaker 1: Joscelyn Lai and her co founder Sylview, who is a 712 00:36:42,920 --> 00:36:45,239 Speaker 1: chief scientist of Baker Hughes, and he's basically taken a 713 00:36:45,239 --> 00:36:48,680 Speaker 1: lot of ultra advanced oil and gas rig technology and 714 00:36:49,120 --> 00:36:52,680 Speaker 1: invented a miniaturized rig that can drill subsurface to the 715 00:36:52,680 --> 00:36:56,120 Speaker 1: depth required to unlock heating and cooling for huge buildings. 716 00:36:56,400 --> 00:36:58,640 Speaker 1: So CI am the largest asset owner America with a 717 00:36:58,640 --> 00:37:01,600 Speaker 1: million square feet on her ownership invested in this technology. 718 00:37:01,880 --> 00:37:05,080 Speaker 1: And this sounds like geothermal, It is geothermal heating and 719 00:37:05,120 --> 00:37:08,640 Speaker 1: cooling which is previously inaccessible to big buildings because of 720 00:37:08,680 --> 00:37:11,480 Speaker 1: the depth required to drill would meet a rig that 721 00:37:11,520 --> 00:37:15,080 Speaker 1: can't operate in urban environments. And so the magic of 722 00:37:15,120 --> 00:37:17,440 Speaker 1: this company is they can go to companies and say, look, 723 00:37:17,800 --> 00:37:20,799 Speaker 1: I can beat your heating and cooling bills with a 724 00:37:20,840 --> 00:37:23,880 Speaker 1: decarbonized solution that will save you money and op X 725 00:37:24,280 --> 00:37:26,279 Speaker 1: and get you an unbelievable amount of credits from the 726 00:37:26,360 --> 00:37:28,839 Speaker 1: US government. And so those are technologies we get really 727 00:37:28,840 --> 00:37:31,560 Speaker 1: excited about. Built environment is forty percent of global emissions 728 00:37:31,600 --> 00:37:34,000 Speaker 1: forty percent, So it is not a sexy sounding thing, 729 00:37:34,040 --> 00:37:35,920 Speaker 1: but it's very important. If you want to think about 730 00:37:35,920 --> 00:37:38,239 Speaker 1: some of the more interesting sort of risk on parts 731 00:37:38,239 --> 00:37:41,520 Speaker 1: of our portfolio. There's an unbelievable company called Linean Labs 732 00:37:41,520 --> 00:37:44,880 Speaker 1: we recently invested in alongside Union's coare Ventures and a 733 00:37:44,880 --> 00:37:49,200 Speaker 1: bunch of other unbelievable funds. They're building sustainable aviation fuels. 734 00:37:49,440 --> 00:37:53,440 Speaker 1: Sustainable aviation fuels can take industrial CO two waste and 735 00:37:53,520 --> 00:37:56,720 Speaker 1: repurpose it and remake it using a Fisher trough process 736 00:37:56,719 --> 00:37:59,520 Speaker 1: and a reverse water gas shifter to then produce sustainably 737 00:37:59,520 --> 00:38:01,960 Speaker 1: aviation fuels. And we think this company can do it 738 00:38:02,040 --> 00:38:05,080 Speaker 1: cheaper ultimately than what jet fuel a costs in the 739 00:38:05,080 --> 00:38:07,880 Speaker 1: market over time. And so when you consider United Airlines, 740 00:38:07,920 --> 00:38:10,640 Speaker 1: in these companies, all of which have made commitments to 741 00:38:10,719 --> 00:38:13,920 Speaker 1: use half of their fuel mix for jet for sustainabiliation fuel, 742 00:38:14,200 --> 00:38:16,800 Speaker 1: there's a software like scale up a thousand x increases 743 00:38:16,800 --> 00:38:18,640 Speaker 1: we're gonna need to see in the coming years. And 744 00:38:18,680 --> 00:38:21,080 Speaker 1: so that gets really exciting. If you can beat jet 745 00:38:21,080 --> 00:38:24,000 Speaker 1: fuel at their own game and produce something cheaper, why 746 00:38:24,040 --> 00:38:25,839 Speaker 1: wouldn't an airline want to use that? 747 00:38:25,920 --> 00:38:28,360 Speaker 2: And so so it's funny funny you mentioned airlines. So 748 00:38:28,440 --> 00:38:34,759 Speaker 2: when we look at ethanol, they're notoriously subject to they're 749 00:38:34,800 --> 00:38:38,640 Speaker 2: they're not as stable as petroleum. If you put them 750 00:38:38,680 --> 00:38:42,759 Speaker 2: in marine engines, especially in a salt water environment, there's 751 00:38:42,800 --> 00:38:45,120 Speaker 2: a problem with with they tend to gunk up and 752 00:38:45,480 --> 00:38:49,960 Speaker 2: they don't do well. And the tolerances in aviation fuel 753 00:38:50,480 --> 00:38:57,799 Speaker 2: are even more stringent than maritime or or automotive. You 754 00:38:57,880 --> 00:39:00,880 Speaker 2: can come up with some form of av fuel that 755 00:39:01,200 --> 00:39:05,880 Speaker 2: is able to fit those demands, and that incredibly high 756 00:39:05,920 --> 00:39:08,280 Speaker 2: requirements from the aviation industry. 757 00:39:08,680 --> 00:39:11,359 Speaker 1: Yes, think of being able to drop something into their 758 00:39:11,400 --> 00:39:15,200 Speaker 1: existing engines molecularly identical to jet fuel, a that happens 759 00:39:15,200 --> 00:39:18,160 Speaker 1: to be entirely carbon neutral, something that is actually derived 760 00:39:18,200 --> 00:39:21,880 Speaker 1: from captured CO two, either atmospherically or otherwise. And so 761 00:39:22,040 --> 00:39:24,359 Speaker 1: this is what gets us excited, right. Hydrogen aircraft would 762 00:39:24,360 --> 00:39:26,680 Speaker 1: require you to invent a new aircraft. I think about 763 00:39:26,680 --> 00:39:29,680 Speaker 1: how long FAA approvals take. Electric aircraft will be great 764 00:39:29,680 --> 00:39:32,359 Speaker 1: for short distances, but for long haul aircraft, we don't 765 00:39:32,400 --> 00:39:34,400 Speaker 1: see a path given the weight and density of those 766 00:39:34,440 --> 00:39:37,160 Speaker 1: lithium ion batteries that you mentioned. And so if you 767 00:39:37,239 --> 00:39:40,520 Speaker 1: can provide the multi you know, hundreds of billions of 768 00:39:40,560 --> 00:39:44,000 Speaker 1: dollars of jet fuel that is consumed every year with 769 00:39:44,120 --> 00:39:47,480 Speaker 1: something fully decarbonized, it's going to be a much attractive 770 00:39:47,480 --> 00:39:49,880 Speaker 1: and more easier path for airlines to adopt. 771 00:39:50,200 --> 00:39:53,920 Speaker 2: So you would mentioned how complex the regulatory environment is 772 00:39:53,960 --> 00:39:59,400 Speaker 2: for nuclear How much have the recent legislation the IRA, 773 00:39:59,600 --> 00:40:02,680 Speaker 2: the same Doctor Acting Infrastructure Bill. How much has that 774 00:40:03,000 --> 00:40:06,360 Speaker 2: allowed things to happen more quickly than they have in 775 00:40:06,400 --> 00:40:09,480 Speaker 2: the past in terms of regulatory approval. 776 00:40:09,640 --> 00:40:13,920 Speaker 1: It's hard to overstate how staggering and ambitious and exciting 777 00:40:13,920 --> 00:40:17,240 Speaker 1: the Inflation Reduction Act is. This is the single most 778 00:40:17,840 --> 00:40:22,560 Speaker 1: comprehensive and aggressive climate bill ever produced by any country anywhere. 779 00:40:23,120 --> 00:40:27,160 Speaker 1: And what this is doing is allowing OEMs and asset 780 00:40:27,160 --> 00:40:30,880 Speaker 1: owners to pull forward innovation because it is simply making 781 00:40:30,920 --> 00:40:34,560 Speaker 1: these things cheaper than fossil fuel alternatives because of these 782 00:40:34,600 --> 00:40:38,000 Speaker 1: eyewatering incentives. And so interestingly, I'll give you an example. 783 00:40:38,000 --> 00:40:40,360 Speaker 1: We actually have a company and a software company called Crux, 784 00:40:40,600 --> 00:40:43,600 Speaker 1: which is a marketplace for tax credits generated by the IRA. 785 00:40:44,000 --> 00:40:46,960 Speaker 1: The ITC and PTC tax credits will be about eighty 786 00:40:47,040 --> 00:40:49,600 Speaker 1: three billion dollars per year according to Credit Suites, which 787 00:40:49,680 --> 00:40:52,719 Speaker 1: is about seventeen percent of total corporate tax liability. And 788 00:40:52,760 --> 00:40:55,239 Speaker 1: so this will have to flow from the producers of 789 00:40:55,280 --> 00:40:59,040 Speaker 1: those credits to big banks, family office places like where 790 00:40:59,080 --> 00:41:01,440 Speaker 1: you work. That connecttion you monetize those credits and help 791 00:41:01,480 --> 00:41:04,600 Speaker 1: their client. Your clients save money today on taxes, and 792 00:41:04,680 --> 00:41:07,680 Speaker 1: so these software marketplaces will be really an interesting way 793 00:41:07,680 --> 00:41:11,720 Speaker 1: of demonstrating how giant the IRA opportunity is today. 794 00:41:12,080 --> 00:41:17,080 Speaker 2: So, what's the big obstacle that this form of investing faces. 795 00:41:17,160 --> 00:41:20,920 Speaker 2: This has been pushed back to ESG and the concept 796 00:41:20,960 --> 00:41:26,160 Speaker 2: of greenwashing. What you're really talking about is innovation on 797 00:41:26,239 --> 00:41:30,000 Speaker 2: the level of basic science as a physics, chemical chemistry, 798 00:41:30,320 --> 00:41:34,879 Speaker 2: material science. Tell us a little bit about what sort 799 00:41:34,920 --> 00:41:36,160 Speaker 2: of skepticism you face. 800 00:41:36,920 --> 00:41:38,880 Speaker 1: Well, for one, we can never bend the laws of 801 00:41:38,880 --> 00:41:41,839 Speaker 1: physics or chemistry, and so we are taking engineering risk, 802 00:41:41,880 --> 00:41:44,400 Speaker 1: but we don't take science risk as a fund. I 803 00:41:44,400 --> 00:41:48,240 Speaker 1: think the two hardest things to bet on are sticks 804 00:41:48,239 --> 00:41:51,040 Speaker 1: that come from the federal government that will actually, you know, 805 00:41:51,160 --> 00:41:54,120 Speaker 1: put a price on carbon and ultimately ban a lot 806 00:41:54,120 --> 00:41:57,720 Speaker 1: of fossil fuel alternatives. And second, higher interest rate environments 807 00:41:57,719 --> 00:42:00,920 Speaker 1: are going to be enormously punishing for capital and teens transitions. 808 00:42:00,960 --> 00:42:04,560 Speaker 1: And so I think the two obstacles we face today 809 00:42:04,920 --> 00:42:07,560 Speaker 1: are thankfully not technology, right, A lot of the technology 810 00:42:07,560 --> 00:42:09,399 Speaker 1: we need to do this transition is here. The two 811 00:42:09,440 --> 00:42:12,680 Speaker 1: obstacles are one, what's the regulatory environment that will force 812 00:42:12,719 --> 00:42:15,520 Speaker 1: fossil fuels off a cliff. And then two, how do 813 00:42:15,560 --> 00:42:17,759 Speaker 1: we ensure that this isn't more expensive? Because if you 814 00:42:17,800 --> 00:42:20,440 Speaker 1: go to working class Americans and a bunch of you know, 815 00:42:20,520 --> 00:42:25,080 Speaker 1: a feat over educated coastal elites say take this electric vehicle, 816 00:42:25,080 --> 00:42:26,600 Speaker 1: take this heat pump, it'll be better for you, and 817 00:42:26,640 --> 00:42:29,480 Speaker 1: it ends up more expensive, that will break the Democratic 818 00:42:29,520 --> 00:42:32,839 Speaker 1: Party apart. And so we need to really focus on 819 00:42:32,880 --> 00:42:34,279 Speaker 1: how do we do this as what they call a 820 00:42:34,440 --> 00:42:37,160 Speaker 1: just transition. How do you help you know, working class 821 00:42:37,160 --> 00:42:39,279 Speaker 1: Americans actually save money on their bills, how do you 822 00:42:39,280 --> 00:42:42,560 Speaker 1: produce give them something that is not just better but cheaper. 823 00:42:43,080 --> 00:42:45,920 Speaker 1: The median you know, savings account in America right now 824 00:42:46,000 --> 00:42:48,600 Speaker 1: is four hundred dollars of total savings. And so if 825 00:42:48,600 --> 00:42:50,239 Speaker 1: you go to someone say I need ninety percent of 826 00:42:50,239 --> 00:42:52,600 Speaker 1: that for a heat pump today, that's going to be 827 00:42:52,640 --> 00:42:53,120 Speaker 1: a problem. 828 00:42:53,360 --> 00:42:58,600 Speaker 2: What do you think of products like the Ford Lightning 829 00:42:59,120 --> 00:43:01,799 Speaker 2: one point fifty, which I think the base price is 830 00:43:01,840 --> 00:43:05,640 Speaker 2: something like forty thousand dollars that looks like a truck 831 00:43:05,680 --> 00:43:07,200 Speaker 2: that could find it. Did it go up? 832 00:43:07,200 --> 00:43:09,160 Speaker 1: It's fifty thousand dollars expensive. 833 00:43:09,400 --> 00:43:12,680 Speaker 2: It started originally at forty, maybe it's fifty now, Like 834 00:43:12,719 --> 00:43:15,440 Speaker 2: the cyber truck started at forty at sixty now, but 835 00:43:15,680 --> 00:43:18,960 Speaker 2: the lightning seems to be sort of that looks like 836 00:43:19,040 --> 00:43:21,880 Speaker 2: a regular truck, but you could power your house with it. 837 00:43:22,520 --> 00:43:26,040 Speaker 2: Are these things going to be useful in our energy transition? 838 00:43:26,400 --> 00:43:27,960 Speaker 1: You know? One of the tensions I have, just to 839 00:43:27,960 --> 00:43:32,080 Speaker 1: speak plainly, is that Americans like to drive big things. 840 00:43:32,200 --> 00:43:35,400 Speaker 1: But from a climate perspective, ultimately it is kind of 841 00:43:35,440 --> 00:43:37,839 Speaker 1: a joke to say, like the EV hummer is good. 842 00:43:37,880 --> 00:43:39,920 Speaker 1: You know, you're actually better off driving a used F 843 00:43:39,920 --> 00:43:43,399 Speaker 1: one to fifty Ford Ranger than buying a new EV 844 00:43:43,520 --> 00:43:45,880 Speaker 1: hummer because of the you know, carbon intensity of the 845 00:43:45,880 --> 00:43:50,120 Speaker 1: manufacturing process. And so that's the thing we need to missauge. 846 00:43:50,160 --> 00:43:52,280 Speaker 1: We do need to make this transition. You should probably 847 00:43:52,320 --> 00:43:56,360 Speaker 1: surprise in the like customers, but buying giant heavy vehicles 848 00:43:56,360 --> 00:43:58,120 Speaker 1: that are not traveling very far and don't need to 849 00:43:58,120 --> 00:44:01,360 Speaker 1: be as giant and heavy is not the ideal outcome. 850 00:44:01,440 --> 00:44:04,120 Speaker 1: Though probably this sort of consumer taste is here and 851 00:44:04,120 --> 00:44:04,960 Speaker 1: we need to fulfill it. 852 00:44:05,000 --> 00:44:07,440 Speaker 2: What we need to do is take like a nineteen 853 00:44:07,560 --> 00:44:11,320 Speaker 2: eighties era portion nine to eleven and convert those. 854 00:44:11,120 --> 00:44:12,959 Speaker 1: To who we're talking. Yeah, that can be my gift 855 00:44:12,960 --> 00:44:15,320 Speaker 1: after doing this podcast if you wanted to tend that 856 00:44:15,400 --> 00:44:15,600 Speaker 1: to me. 857 00:44:16,160 --> 00:44:19,040 Speaker 2: So let me jump to my favorite questions. We'll only 858 00:44:19,080 --> 00:44:22,560 Speaker 2: have you for a few minutes, starting with tell us 859 00:44:22,640 --> 00:44:25,800 Speaker 2: you mentioned Oppenheimer. Tell us what you're watching or streaming, 860 00:44:26,000 --> 00:44:27,320 Speaker 2: what's keeping you entertained. 861 00:44:28,160 --> 00:44:33,320 Speaker 1: There's an unbelievable TV show about the French intelligence service 862 00:44:33,400 --> 00:44:36,439 Speaker 1: called The Bureau that is a must watch and it's 863 00:44:36,440 --> 00:44:40,440 Speaker 1: sort of the like what a US allied intelligence service? 864 00:44:40,480 --> 00:44:42,799 Speaker 1: How they dealt with Syria, how they dealt with a rock, 865 00:44:42,840 --> 00:44:44,920 Speaker 1: how do they dealt with the United States from their perspective? 866 00:44:45,480 --> 00:44:46,080 Speaker 1: Must watch. 867 00:44:46,960 --> 00:44:49,600 Speaker 2: I just finished The Bodyguard, which was very interesting, and 868 00:44:49,640 --> 00:44:52,680 Speaker 2: it's the UK. And anytime you get to see how 869 00:44:52,719 --> 00:44:56,879 Speaker 2: a different country, even the entertainment, how they portray their 870 00:44:58,120 --> 00:45:02,600 Speaker 2: national security and police, it is always fascinating. Tell us 871 00:45:02,600 --> 00:45:05,360 Speaker 2: about your mentors who helped shape your career. 872 00:45:05,880 --> 00:45:08,920 Speaker 1: You know, my father, who is still the closest person 873 00:45:08,960 --> 00:45:11,480 Speaker 1: to me in my life apart from my wife, was 874 00:45:11,520 --> 00:45:13,400 Speaker 1: my earliest mentor and I couldn't be lucky to have 875 00:45:13,480 --> 00:45:15,719 Speaker 1: had him. And he was the one that always challenged us. 876 00:45:16,040 --> 00:45:18,040 Speaker 1: Let us said, you can do anything, but whatever you 877 00:45:18,120 --> 00:45:21,759 Speaker 1: do be the best at you know, push yourself and 878 00:45:21,800 --> 00:45:23,520 Speaker 1: do something big and help a lot of people. And 879 00:45:23,560 --> 00:45:25,799 Speaker 1: so that is the sort of challenge that continues to 880 00:45:25,800 --> 00:45:28,120 Speaker 1: push me today. I was also really lucky to work 881 00:45:28,160 --> 00:45:33,320 Speaker 1: for Governor Martin O'Malley, really closely with President Obama and 882 00:45:33,680 --> 00:45:36,560 Speaker 1: learn from them. And then guys like Julius Genakowski, who 883 00:45:36,600 --> 00:45:38,960 Speaker 1: is the FCC chairman, who's a partner at Carlisle now 884 00:45:39,000 --> 00:45:41,520 Speaker 1: an investor in overture, has been a long time mentor 885 00:45:41,560 --> 00:45:43,840 Speaker 1: and friend to me. And I'm also mentored by my friends. 886 00:45:43,840 --> 00:45:46,360 Speaker 1: You know, they say, to be happy, make friends that 887 00:45:46,360 --> 00:45:49,080 Speaker 1: are less successful you to be successful, make friends more 888 00:45:49,080 --> 00:45:51,160 Speaker 1: successful than you. And all of my friends are more 889 00:45:51,160 --> 00:45:52,919 Speaker 1: successful than me. I learned from them all the time. 890 00:45:52,960 --> 00:45:55,319 Speaker 1: And although you know what's like gorviy doll line, every 891 00:45:55,360 --> 00:45:57,200 Speaker 1: time a friend succeeds, a small part of me dies, 892 00:45:57,640 --> 00:45:59,000 Speaker 1: you might still feel a little bit of that. 893 00:45:59,000 --> 00:46:01,799 Speaker 2: But such a terror terrible I mean, I'm familiar with 894 00:46:01,800 --> 00:46:05,600 Speaker 2: the quote. It's such a terrible, terrible perspective. I had 895 00:46:05,640 --> 00:46:09,080 Speaker 2: a buddy from grad school who was wildly successful, and 896 00:46:09,120 --> 00:46:12,239 Speaker 2: people always ask me, doesn't it kill you how great 897 00:46:12,280 --> 00:46:12,919 Speaker 2: Jeff is doing? 898 00:46:12,960 --> 00:46:13,920 Speaker 1: I got a root for your friends. 899 00:46:14,840 --> 00:46:16,600 Speaker 2: He's one of my favorite people in the world. No 900 00:46:16,600 --> 00:46:19,920 Speaker 2: one deserves it more, and no one believed me, absolutely 901 00:46:20,120 --> 00:46:25,160 Speaker 2: absolutely nobody. Nobody believed me. So tell us about some 902 00:46:25,200 --> 00:46:27,360 Speaker 2: of your favorite books. What are you reading right now? 903 00:46:28,160 --> 00:46:30,719 Speaker 1: Books to recommend to the listeners. The Ministry for the 904 00:46:30,760 --> 00:46:32,759 Speaker 1: Future is the probably the best book on climate I've 905 00:46:32,760 --> 00:46:33,200 Speaker 1: ever read. 906 00:46:33,239 --> 00:46:34,840 Speaker 2: It's Ministry for the Future. 907 00:46:34,840 --> 00:46:37,440 Speaker 1: Ministry for the Future. It's a climate dystopia of you know, 908 00:46:37,520 --> 00:46:41,120 Speaker 1: the first chapter involves twenty million Indians dying in a 909 00:46:41,160 --> 00:46:43,400 Speaker 1: heat wave and we are going to start seeing thermal 910 00:46:43,640 --> 00:46:45,680 Speaker 1: temperatures around one hundred and fifty five degrees, which has 911 00:46:45,719 --> 00:46:48,680 Speaker 1: got clocked in Tehran, and so imagine what happens to 912 00:46:48,760 --> 00:46:51,080 Speaker 1: human life? How does human life flourish in those temperatures? 913 00:46:51,760 --> 00:46:54,480 Speaker 1: And then every other chapter is a scientific sort of 914 00:46:54,520 --> 00:46:57,760 Speaker 1: examination of the underlying sort of science transition. So Ministry 915 00:46:57,760 --> 00:47:02,280 Speaker 1: for the Future is fantastic. Just read David Wallace Wells's 916 00:47:02,280 --> 00:47:07,000 Speaker 1: book The Uninhabitable Earth, which is excellent. You'll need a 917 00:47:07,040 --> 00:47:08,600 Speaker 1: shot of whiskey after reading it. 918 00:47:08,680 --> 00:47:11,560 Speaker 2: Oh, really a little depressing, a little tough. 919 00:47:11,719 --> 00:47:13,239 Speaker 1: But you know, he has this sort of line that 920 00:47:13,280 --> 00:47:14,560 Speaker 1: our kids will look at us in the eye one 921 00:47:14,600 --> 00:47:16,799 Speaker 1: day and say what were you thinking? Or were you 922 00:47:16,840 --> 00:47:18,560 Speaker 1: even thinking at all? Which kind of haunts me. 923 00:47:19,480 --> 00:47:24,040 Speaker 2: There is a fascinating book that was very early in 924 00:47:24,280 --> 00:47:28,680 Speaker 2: energy investment called Windfall, and it's really fascinating because it 925 00:47:28,800 --> 00:47:33,840 Speaker 2: goes to the various investment banks and funds and talks 926 00:47:33,920 --> 00:47:36,840 Speaker 2: about whatever's hot's going to get hotter, whatever's what's going 927 00:47:36,920 --> 00:47:40,160 Speaker 2: to get wetter? And here are all these companies and 928 00:47:40,280 --> 00:47:45,839 Speaker 2: technologies that climate is almost secondary their for profit, and 929 00:47:45,920 --> 00:47:48,560 Speaker 2: some of them have done exceedingly well. Really, really was 930 00:47:48,600 --> 00:47:51,280 Speaker 2: a fascinating book. And now we're down to our last 931 00:47:51,280 --> 00:47:54,760 Speaker 2: two questions. What sort of unless you have more books? 932 00:47:54,760 --> 00:47:58,120 Speaker 2: Did I interrupt the book? Fly? All right? What sort 933 00:47:58,160 --> 00:48:00,880 Speaker 2: of advice would you give to a recent college grad 934 00:48:01,400 --> 00:48:08,279 Speaker 2: interested in a career in either climate change investing, venture investing, 935 00:48:08,680 --> 00:48:09,480 Speaker 2: or politics. 936 00:48:11,480 --> 00:48:14,400 Speaker 1: I think a startup is the equivalent of a campaign, 937 00:48:14,640 --> 00:48:19,520 Speaker 1: which is incredibly flat, incredibly labor intensive, and so my 938 00:48:19,560 --> 00:48:21,480 Speaker 1: advice to anyone that wants to get involved in politics 939 00:48:21,560 --> 00:48:23,520 Speaker 1: or in climate is go work at a startup, or 940 00:48:23,520 --> 00:48:26,480 Speaker 1: go work in a campaign, and just be the person 941 00:48:26,520 --> 00:48:28,719 Speaker 1: they can turn to if you figure that out, if 942 00:48:28,719 --> 00:48:30,080 Speaker 1: you can be a person that I can turn to, 943 00:48:30,200 --> 00:48:33,000 Speaker 1: or any leader can turn to and know that they 944 00:48:33,040 --> 00:48:35,120 Speaker 1: are going to handle that task. Well, you know, there's 945 00:48:35,160 --> 00:48:36,200 Speaker 1: a really quick ramp. 946 00:48:36,080 --> 00:48:39,279 Speaker 2: Rate for you. And our final question, what do you 947 00:48:39,280 --> 00:48:42,799 Speaker 2: know about the world of venture investing today? You wish 948 00:48:42,800 --> 00:48:44,959 Speaker 2: you knew ten twenty years ago when you were first 949 00:48:44,960 --> 00:48:46,160 Speaker 2: getting started. 950 00:48:46,680 --> 00:48:48,279 Speaker 1: That it would have been better to get started ten 951 00:48:48,360 --> 00:48:49,280 Speaker 1: years ago than today. 952 00:48:50,160 --> 00:48:52,360 Speaker 2: So that wasn't too early ten years ago. 953 00:48:52,239 --> 00:48:53,960 Speaker 1: No, I think ten years ago it was still a 954 00:48:54,000 --> 00:48:56,680 Speaker 1: little bit more of a cottage industry with ultra low 955 00:48:56,680 --> 00:48:59,960 Speaker 1: cost interest rates and the zero interest rate environment allows 956 00:49:00,360 --> 00:49:05,240 Speaker 1: folks to take rewarding bets that you know, delayed revenue 957 00:49:05,280 --> 00:49:08,400 Speaker 1: recognition for ten years because it was a quick, effectively 958 00:49:08,440 --> 00:49:11,480 Speaker 1: free and so that was a heyday. I wish I 959 00:49:11,520 --> 00:49:13,640 Speaker 1: had been doing venture more consciously then. 960 00:49:14,000 --> 00:49:16,279 Speaker 2: You know, it's funny I say the same thing about 961 00:49:16,360 --> 00:49:19,200 Speaker 2: running an investment firm, because I see these firms have 962 00:49:19,320 --> 00:49:22,319 Speaker 2: been around thirty forty years and it's like, God, if 963 00:49:22,360 --> 00:49:24,680 Speaker 2: I would have started in you know, eighty two, we'd 964 00:49:24,719 --> 00:49:27,319 Speaker 2: be a trillion dollars. I can't. I feel like I'm 965 00:49:27,400 --> 00:49:30,399 Speaker 2: late to the party. I recognize the same thing with you, 966 00:49:30,760 --> 00:49:33,320 Speaker 2: but it's never too you know, ten years ago was 967 00:49:33,400 --> 00:49:36,280 Speaker 2: always the best time to do something, and the second 968 00:49:36,320 --> 00:49:37,200 Speaker 2: best time is right now. 969 00:49:37,200 --> 00:49:39,760 Speaker 1: There is a Chinese proverb the best time to plant 970 00:49:39,760 --> 00:49:41,520 Speaker 1: a tree was one hundred years ago, but the second 971 00:49:41,560 --> 00:49:45,080 Speaker 1: best time is today. Perfect. But I will say, you know, 972 00:49:45,520 --> 00:49:48,400 Speaker 1: I do think in climate is one of these mega 973 00:49:48,480 --> 00:49:51,000 Speaker 1: trends that is going that is just here and it 974 00:49:51,040 --> 00:49:54,320 Speaker 1: doesn't you know, it is probably the easiest arbitrage investment 975 00:49:54,440 --> 00:49:57,440 Speaker 1: I can imagine, which is to bet on scientists or 976 00:49:57,640 --> 00:50:00,480 Speaker 1: you know, an opinions that editor at the wall Stree Journal. 977 00:50:00,800 --> 00:50:03,760 Speaker 1: And so, you know, I just recommend to the listeners 978 00:50:03,800 --> 00:50:05,560 Speaker 1: to really start paying attention to this. Once you start 979 00:50:05,600 --> 00:50:08,359 Speaker 1: looking at it, the investment opportunity, the opportunity to make 980 00:50:08,440 --> 00:50:11,879 Speaker 1: money is eyewatering. In addition to being able to sleep 981 00:50:11,920 --> 00:50:12,359 Speaker 1: all night. 982 00:50:12,640 --> 00:50:15,880 Speaker 2: That's great. We have been speaking with show Meek Dutta, 983 00:50:16,160 --> 00:50:20,359 Speaker 2: co founder and managing partner at Overture Climate VC. If 984 00:50:20,400 --> 00:50:23,000 Speaker 2: you enjoy this conversation, well, be sure and check out 985 00:50:23,239 --> 00:50:26,000 Speaker 2: any of the previous five hundred or so we've done 986 00:50:26,120 --> 00:50:31,200 Speaker 2: over the past nine years. You can find those at iTunes, Spotify, YouTube, 987 00:50:31,560 --> 00:50:35,480 Speaker 2: wherever you find your favorite podcasts. Sign up from my 988 00:50:35,600 --> 00:50:38,719 Speaker 2: daily reading list at Ridhelts dot com. Follow me on 989 00:50:38,760 --> 00:50:41,560 Speaker 2: Twitter or x or whatever you want to call it. 990 00:50:42,200 --> 00:50:45,160 Speaker 2: Hopefully it's still around by the time this broadcast. At 991 00:50:45,239 --> 00:50:49,360 Speaker 2: Ridholt's follow all of the Bloomberg Family of podcasts at 992 00:50:49,600 --> 00:50:52,319 Speaker 2: podcast I would be remiss if I did not thank 993 00:50:52,360 --> 00:50:55,720 Speaker 2: the crack team that helps me put these conversations together 994 00:50:55,920 --> 00:51:00,239 Speaker 2: each week. My engineer this week is Kayleie Lapara uh 995 00:51:00,239 --> 00:51:02,680 Speaker 2: A tick of Al Brown is our project manager. Sean 996 00:51:02,800 --> 00:51:06,480 Speaker 2: Russo is my head of research. Anna Luke is my producer. 997 00:51:07,160 --> 00:51:11,120 Speaker 2: I'm Barry Ritolts. You've been listening to Masters Business on 998 00:51:11,239 --> 00:51:12,760 Speaker 2: Bloomberg Radio.