1 00:00:02,560 --> 00:00:06,880 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,440 --> 00:00:10,720 Speaker 2: You're listening to Bloomberg Business Week with Carol Messer and 3 00:00:10,800 --> 00:00:13,200 Speaker 2: Tim Stenebek on Bloomberg Radio. 4 00:00:13,480 --> 00:00:16,040 Speaker 3: Do you want AI involved in your brain surgery if 5 00:00:16,040 --> 00:00:16,920 Speaker 3: it's really good? 6 00:00:17,239 --> 00:00:17,520 Speaker 2: Okay. 7 00:00:17,520 --> 00:00:19,920 Speaker 3: The reason I'm asking you is because China is actually 8 00:00:19,960 --> 00:00:23,440 Speaker 3: testing an AI assistant for neurosurgeons seven hospitals in Beijing. 9 00:00:23,840 --> 00:00:27,040 Speaker 3: The bot's going to answer questions with citations based on 10 00:00:27,080 --> 00:00:30,040 Speaker 3: more than a million academic records, could help with CT 11 00:00:30,200 --> 00:00:33,720 Speaker 3: scans images. Eventually, though, the researchers envision the AI taking 12 00:00:33,880 --> 00:00:37,680 Speaker 3: a more active role, warning doctors from pursuing risky procedures 13 00:00:37,680 --> 00:00:38,199 Speaker 3: for instance. 14 00:00:38,280 --> 00:00:40,760 Speaker 1: Yeah, there's a lot of questions about this, right. We 15 00:00:40,840 --> 00:00:43,720 Speaker 1: have a great guest to talk about this, because you know, 16 00:00:43,760 --> 00:00:45,920 Speaker 1: the idea of having AI helping in the operating room 17 00:00:45,960 --> 00:00:49,160 Speaker 1: could be an issue of trust. But you do wonder 18 00:00:49,159 --> 00:00:51,519 Speaker 1: you could have a doctor who's had a little tired 19 00:00:51,800 --> 00:00:54,120 Speaker 1: watching the oscars or doing something else, and you do 20 00:00:54,200 --> 00:00:56,440 Speaker 1: wonder about that element. So there's a lot at stake 21 00:00:56,480 --> 00:00:58,600 Speaker 1: here and we've got a great guest to get into it. 22 00:00:58,680 --> 00:01:01,040 Speaker 3: Yeah. Michelle guide To, a CEO of the CROC Institute 23 00:01:01,040 --> 00:01:03,640 Speaker 3: for Tech Diplomacy at pursue. She's Purdue. She's also a 24 00:01:03,680 --> 00:01:07,160 Speaker 3: former Assistant Secretary of State for Global Public Affairs that 25 00:01:07,240 --> 00:01:09,840 Speaker 3: was during the Trump administration from twenty eighteen to twenty twenty. 26 00:01:09,880 --> 00:01:12,560 Speaker 3: Michelle joins us from Austin at Texas. Michelle, good to 27 00:01:12,600 --> 00:01:13,480 Speaker 3: have you on with us. 28 00:01:13,480 --> 00:01:15,679 Speaker 2: How are you good to be with you? 29 00:01:15,920 --> 00:01:18,040 Speaker 3: Well, good to join us. I'm so glad you're joining 30 00:01:18,120 --> 00:01:21,199 Speaker 3: us on this because we've been talking a lot about AIS. 31 00:01:21,280 --> 00:01:24,840 Speaker 3: You can probably imagine, but you and the team over 32 00:01:25,120 --> 00:01:29,120 Speaker 3: at the Institute for Tech Diplomacy at Purdue. I got 33 00:01:29,120 --> 00:01:32,520 Speaker 3: a a poll on our radar from Edelman and we 34 00:01:32,920 --> 00:01:35,360 Speaker 3: talked to the Edelman team a lot about their trust barometer. 35 00:01:35,640 --> 00:01:37,440 Speaker 3: And this one specifically has to do with trust in 36 00:01:37,480 --> 00:01:39,959 Speaker 3: AI companies declining. And it's not just here in the US, 37 00:01:40,040 --> 00:01:44,240 Speaker 3: but it's around the world too. How can companies that 38 00:01:44,280 --> 00:01:48,280 Speaker 3: are working on this technology earn the trust of us? 39 00:01:50,160 --> 00:01:53,080 Speaker 2: So thanks for that question. I've seen that poll and 40 00:01:53,120 --> 00:01:56,000 Speaker 2: it says that about thirty five percent of Americans now 41 00:01:56,040 --> 00:01:58,480 Speaker 2: trust companies to do what's right when it comes to 42 00:01:58,600 --> 00:02:01,360 Speaker 2: artificial intelligence. Let me give two other numbers for you. 43 00:02:01,800 --> 00:02:04,080 Speaker 2: The first is twenty thirty, which is the year that 44 00:02:04,200 --> 00:02:07,120 Speaker 2: China has stated that it wants to lead and dominate 45 00:02:07,160 --> 00:02:10,800 Speaker 2: in artificial intelligence. The other number is fifty one billion dollars, 46 00:02:11,080 --> 00:02:14,120 Speaker 2: and that's how much China is committing to science and technology, 47 00:02:14,120 --> 00:02:16,400 Speaker 2: which is up ten percent from last year. They just 48 00:02:16,440 --> 00:02:19,040 Speaker 2: announced this coming out of their National Party Congress. And 49 00:02:19,120 --> 00:02:22,200 Speaker 2: I share those because there's important context in terms of 50 00:02:22,680 --> 00:02:24,720 Speaker 2: the trust that we are putting in our government and 51 00:02:24,760 --> 00:02:27,600 Speaker 2: in our tech companies to innovate properly when it comes 52 00:02:27,600 --> 00:02:30,760 Speaker 2: to artificial intelligence. But it's not happening in a vacuum. 53 00:02:30,800 --> 00:02:34,000 Speaker 2: That is happening in the context of a competition with 54 00:02:34,240 --> 00:02:36,840 Speaker 2: adversaries across the world who want to use these technologies, 55 00:02:37,120 --> 00:02:41,079 Speaker 2: dominate in these technologies, and compete with us in order 56 00:02:41,120 --> 00:02:43,960 Speaker 2: to advance their value system and their systems of government 57 00:02:44,000 --> 00:02:48,240 Speaker 2: which are authoritarian versus ours. So that's really important context. 58 00:02:48,320 --> 00:02:52,680 Speaker 2: But this notion of trust is so central, and it's 59 00:02:52,720 --> 00:02:55,520 Speaker 2: not about the tech, it's about the trust. And the 60 00:02:55,560 --> 00:02:58,600 Speaker 2: good news is we don't just have to rely on 61 00:02:58,720 --> 00:03:01,240 Speaker 2: government to get it right. We don't just have to 62 00:03:01,320 --> 00:03:04,080 Speaker 2: rely on tech companies to get it right. And what 63 00:03:04,120 --> 00:03:07,640 Speaker 2: the CROC Institute for Tective PLOYANCDE is doing is also 64 00:03:07,680 --> 00:03:11,880 Speaker 2: making sure that citizens are involved in shaping this, that 65 00:03:11,919 --> 00:03:14,760 Speaker 2: they have a right and they have a responsibility in 66 00:03:14,880 --> 00:03:18,320 Speaker 2: order to help shape and dictate where AI goes. I'm 67 00:03:18,320 --> 00:03:20,680 Speaker 2: here at south By Southwest in Austin. This is a 68 00:03:20,840 --> 00:03:24,160 Speaker 2: gathering every year of creatives and leaders in media and 69 00:03:24,160 --> 00:03:27,120 Speaker 2: an innovation and that's why we're here having conversations around, well, 70 00:03:27,200 --> 00:03:29,920 Speaker 2: what is the role necessary role that you play in 71 00:03:30,040 --> 00:03:35,240 Speaker 2: national security and in geopolitical competition. So it's getting everybody involved, 72 00:03:35,560 --> 00:03:36,920 Speaker 2: and here's two practical ways to do this. 73 00:03:36,920 --> 00:03:38,320 Speaker 3: Hold on, let me let's I just want to jump 74 00:03:38,320 --> 00:03:40,360 Speaker 3: in real quick, because I you know, if there is 75 00:03:40,400 --> 00:03:43,880 Speaker 3: one thing that unites democrats and Republicans, like, there's only 76 00:03:43,880 --> 00:03:45,880 Speaker 3: one thing, I think it's it's kind of beating up 77 00:03:45,880 --> 00:03:48,880 Speaker 3: on these tech CEOs when they do testify. And we 78 00:03:48,960 --> 00:03:53,520 Speaker 3: did see in recent weeks examples of the way that 79 00:03:53,520 --> 00:03:56,280 Speaker 3: Democrats and Republicans do not think that companies like meta 80 00:03:56,320 --> 00:03:59,520 Speaker 3: platforms have guardrails on the way that they're serving content, 81 00:03:59,560 --> 00:04:02,760 Speaker 3: the algorith rhythms that they're using two feed content to 82 00:04:03,920 --> 00:04:07,320 Speaker 3: for lack of a better term, miners here in the US. 83 00:04:07,560 --> 00:04:09,960 Speaker 3: So I'm wondering how you can rely solely on companies 84 00:04:10,000 --> 00:04:12,920 Speaker 3: to actually get this right without involvement from government or 85 00:04:12,920 --> 00:04:14,000 Speaker 3: without relying on government. 86 00:04:15,000 --> 00:04:17,520 Speaker 2: Yeah, well, I would add and maybe challenge what you 87 00:04:17,600 --> 00:04:20,440 Speaker 2: just said. There's actually another really bipartisan issue in DC, 88 00:04:20,640 --> 00:04:23,919 Speaker 2: and that is winning the competition against China, and specifically 89 00:04:23,960 --> 00:04:28,240 Speaker 2: on technology. And so with that context, it isn't just 90 00:04:28,279 --> 00:04:30,600 Speaker 2: about relying on tech companies to get it right, whether 91 00:04:30,600 --> 00:04:32,080 Speaker 2: it's in the US or in any of our like 92 00:04:32,120 --> 00:04:35,800 Speaker 2: minded partners in allies countries, and it isn't just relying 93 00:04:35,880 --> 00:04:39,360 Speaker 2: on government. One good example of talking about bipartisanship is 94 00:04:39,600 --> 00:04:43,280 Speaker 2: there's a new House bipartisan Task Force on Artificial Intelligence. 95 00:04:43,279 --> 00:04:46,279 Speaker 2: So you've got leaders in the House across both sides 96 00:04:46,320 --> 00:04:48,120 Speaker 2: of the aisle coming together to think about how do 97 00:04:48,160 --> 00:04:50,640 Speaker 2: we engage industry in the right way, engage the public 98 00:04:50,640 --> 00:04:55,000 Speaker 2: in the right way in dictating what role artificial intelligence 99 00:04:55,040 --> 00:04:57,680 Speaker 2: plays in our lives. That's a great place for those 100 00:04:57,680 --> 00:05:00,000 Speaker 2: who responded to the poll and said they don't trust companies, 101 00:05:00,080 --> 00:05:02,240 Speaker 2: so they don't trust government to get it right. Then 102 00:05:02,560 --> 00:05:04,920 Speaker 2: working with and getting involved with the members. There's twelve 103 00:05:04,960 --> 00:05:07,760 Speaker 2: members in that House caucus and that task force is 104 00:05:07,760 --> 00:05:08,960 Speaker 2: a really good way to do it. 105 00:05:09,040 --> 00:05:10,920 Speaker 1: How do we do that. I mean, companies are going 106 00:05:10,960 --> 00:05:14,280 Speaker 1: to be very careful. They don't love regulatory oversight, they 107 00:05:14,279 --> 00:05:17,920 Speaker 1: don't like what they might deem as extreme regulatory oversight. 108 00:05:18,000 --> 00:05:20,159 Speaker 1: I'm playing a little bit Devil's advocates. So how do 109 00:05:20,240 --> 00:05:24,320 Speaker 1: we create quickly the right private public partnership on this, 110 00:05:24,880 --> 00:05:27,080 Speaker 1: And to be fair, it's got to be global. None 111 00:05:27,080 --> 00:05:29,599 Speaker 1: of these companies are operating in a vacuum, right. We've 112 00:05:29,600 --> 00:05:33,320 Speaker 1: seen this with financial regulatory oversight, and often Europe has led. 113 00:05:33,600 --> 00:05:36,720 Speaker 1: We think about kind of climate Europe has led. So 114 00:05:36,760 --> 00:05:39,320 Speaker 1: how do we do this in a smart way and quickly. 115 00:05:41,120 --> 00:05:45,240 Speaker 2: It's interesting that you actually see companies Microsoft, for example, 116 00:05:45,640 --> 00:05:48,719 Speaker 2: trying to lead the conversation on AI and essentially saying 117 00:05:48,720 --> 00:05:51,320 Speaker 2: we're not going to wait for government regulations to figure 118 00:05:51,320 --> 00:05:53,320 Speaker 2: this out, and we're actually going to put out a 119 00:05:53,600 --> 00:05:55,760 Speaker 2: proactive point of view on what we think some of 120 00:05:55,800 --> 00:05:59,479 Speaker 2: the guardrails might be and initiate that conversation with government 121 00:05:59,520 --> 00:06:01,240 Speaker 2: not only here in the US, but to your point, 122 00:06:01,560 --> 00:06:03,560 Speaker 2: in Europe and across other parts of the world. And 123 00:06:03,560 --> 00:06:06,240 Speaker 2: that was a lesson learned I think from social media 124 00:06:07,040 --> 00:06:09,920 Speaker 2: where we're flipping the script now and seeing private sector 125 00:06:09,920 --> 00:06:12,360 Speaker 2: companies try to initiate that conversation. And that's a good 126 00:06:12,400 --> 00:06:14,800 Speaker 2: thing because look, if do you feel. 127 00:06:14,520 --> 00:06:15,880 Speaker 1: Like, can I ask you something of the Michelle, do 128 00:06:15,960 --> 00:06:18,760 Speaker 1: you feel like the world has learned their message on 129 00:06:20,000 --> 00:06:22,760 Speaker 1: not having enough oversight on social media? And I know, 130 00:06:22,880 --> 00:06:25,320 Speaker 1: we get into a free speech. There's it's complicated, right, 131 00:06:25,360 --> 00:06:27,520 Speaker 1: It's not so black and white. But have we learned 132 00:06:27,560 --> 00:06:31,479 Speaker 1: the lesson that you know, not having enough oversight in 133 00:06:31,520 --> 00:06:35,720 Speaker 1: social media and content and you know, the false content 134 00:06:35,760 --> 00:06:39,039 Speaker 1: that gets out there, the content that can hurt in 135 00:06:39,120 --> 00:06:42,240 Speaker 1: so many different ways. Have we really learned the lesson 136 00:06:42,360 --> 00:06:45,160 Speaker 1: so that we get it right this time around when 137 00:06:45,160 --> 00:06:46,279 Speaker 1: it comes to AI. 138 00:06:47,320 --> 00:06:50,120 Speaker 2: I definitely think you see some changes. So for example, 139 00:06:50,240 --> 00:06:54,160 Speaker 2: when Facebook came out, Twitter came out, there wasn't a 140 00:06:54,200 --> 00:06:57,520 Speaker 2: House bipartisan Caucus on social media because we didn't know 141 00:06:57,560 --> 00:07:00,000 Speaker 2: that we needed one, and that all came after the facts. 142 00:07:00,040 --> 00:07:03,359 Speaker 2: So now in the early days, you have things like this, 143 00:07:03,360 --> 00:07:05,440 Speaker 2: this task force in the House trying to get ahead 144 00:07:05,440 --> 00:07:08,560 Speaker 2: of it. You have companies I mentioned Microsoft earlier, trying 145 00:07:08,600 --> 00:07:11,960 Speaker 2: to get ahead of it. But here's the thing we 146 00:07:12,040 --> 00:07:15,160 Speaker 2: don't want to rely too much on and point the 147 00:07:15,160 --> 00:07:17,200 Speaker 2: finger at government to say, go figure it out, because 148 00:07:17,200 --> 00:07:20,320 Speaker 2: if tech companies and innovators don't know where the technology 149 00:07:20,520 --> 00:07:23,040 Speaker 2: is going, our government leaders, sure as heck, don't know 150 00:07:23,080 --> 00:07:24,920 Speaker 2: where it's going. And so this has to be a 151 00:07:24,960 --> 00:07:28,400 Speaker 2: collaborative conversation not only with the innovators and the high 152 00:07:28,400 --> 00:07:32,200 Speaker 2: tech companies and with government leaders and policymakers, but also 153 00:07:32,320 --> 00:07:36,400 Speaker 2: with customers of those tech companies and constituents of those 154 00:07:36,400 --> 00:07:38,640 Speaker 2: politics we trust to different. 155 00:07:38,400 --> 00:07:40,320 Speaker 1: How can we trust them to do it right? Come on, 156 00:07:40,400 --> 00:07:44,360 Speaker 1: because they make money over you know, having more eyeballs, 157 00:07:44,480 --> 00:07:47,760 Speaker 1: the velocity on social media platforms. How can we trust 158 00:07:48,240 --> 00:07:50,480 Speaker 1: tech companies to do the right thing here? 159 00:07:51,760 --> 00:07:54,320 Speaker 2: Well, that's where I don't think it just has to 160 00:07:54,320 --> 00:07:55,800 Speaker 2: be a hey, we're going to trust you, and I'm 161 00:07:55,840 --> 00:07:57,920 Speaker 2: going to sit here and watch them. Be a spectator, 162 00:07:57,960 --> 00:08:00,320 Speaker 2: and I hope you get it right. Whether it's it's 163 00:08:00,360 --> 00:08:02,760 Speaker 2: asking that of tech companies or it's asking that of governments, 164 00:08:02,840 --> 00:08:05,240 Speaker 2: it's well, then, what is the role of a customer, 165 00:08:05,240 --> 00:08:07,160 Speaker 2: what is the role of an end user, and what 166 00:08:07,240 --> 00:08:09,600 Speaker 2: is the role of a citizen in getting involved? Now 167 00:08:09,960 --> 00:08:12,120 Speaker 2: on the front end in driving that conversation. 168 00:08:12,320 --> 00:08:16,920 Speaker 3: Hey, Michelle, we only have thirty seconds left. Should the 169 00:08:17,040 --> 00:08:21,880 Speaker 3: US force TikTok's parent company to divest TikTok. 170 00:08:23,560 --> 00:08:27,040 Speaker 2: Well, the US is giving them the option to divest 171 00:08:27,200 --> 00:08:30,920 Speaker 2: or be banned. But yes, because Byte dances a Chinese company, 172 00:08:30,960 --> 00:08:34,520 Speaker 2: they're required by law to provide information to the Chinese 173 00:08:34,520 --> 00:08:37,360 Speaker 2: Communist Party, and it's a surveillance platform, and it's an 174 00:08:37,360 --> 00:08:41,040 Speaker 2: influence operations platform, so it does a national security issue. 175 00:08:41,720 --> 00:08:43,679 Speaker 1: I feel like we scratched the surface. We come back soon. 176 00:08:44,320 --> 00:08:46,280 Speaker 1: Tim's angry. I will get like three questions in a 177 00:08:46,360 --> 00:08:47,320 Speaker 1: row with you again. 178 00:08:47,760 --> 00:08:49,000 Speaker 2: We have a ton to talk about. 179 00:08:49,559 --> 00:08:54,360 Speaker 1: Come back, come back, come back. Michelle Gaida, CEO of 180 00:08:54,480 --> 00:08:58,560 Speaker 1: Crock Institute Protect Diplomacy over at Purdue joining us from Austin, Texas. 181 00:08:58,640 --> 00:09:01,640 Speaker 1: I'm sorry, it's excited because I want. 182 00:09:01,559 --> 00:09:02,199 Speaker 3: To talk to her too. 183 00:09:02,280 --> 00:09:03,280 Speaker 4: How do I trust them? 184 00:09:03,400 --> 00:09:04,000 Speaker 3: We'll call her. 185 00:09:03,880 --> 00:09:05,800 Speaker 1: After to do the right thing. All right, Now, he's 186 00:09:05,800 --> 00:09:07,079 Speaker 1: not even going to listen to me. All right, you're 187 00:09:07,080 --> 00:09:08,720 Speaker 1: listening and watching Pootburg Business Week. 188 00:09:11,920 --> 00:09:14,959 Speaker 3: Well, another piece of the Biden administration sweeping policy response 189 00:09:15,000 --> 00:09:17,920 Speaker 3: to climate change fell into place last week. That was 190 00:09:17,960 --> 00:09:21,480 Speaker 3: when the SEC voted to approve highly anticipated climate disclosure 191 00:09:21,520 --> 00:09:23,200 Speaker 3: requirements for public companies. 192 00:09:23,240 --> 00:09:26,080 Speaker 1: That's right, Tim, The SEC's new rule is groundbreaking and 193 00:09:26,120 --> 00:09:29,360 Speaker 1: that it requires public companies to make certain climate disclosures, 194 00:09:29,800 --> 00:09:33,320 Speaker 1: mainly reporting of greenhouse gas emissions. For the first time, 195 00:09:33,720 --> 00:09:36,400 Speaker 1: large public companies will be required to disclose their direct 196 00:09:36,480 --> 00:09:39,880 Speaker 1: or scope on and Script two emissions. Notably, they must 197 00:09:39,960 --> 00:09:43,840 Speaker 1: do so only if they deem them material significant to 198 00:09:44,040 --> 00:09:44,720 Speaker 1: their bottom line. 199 00:09:44,720 --> 00:09:45,320 Speaker 4: That's what that means. 200 00:09:45,400 --> 00:09:47,720 Speaker 3: Okay, So all that said, some environmental advocates say it 201 00:09:47,760 --> 00:09:51,160 Speaker 3: doesn't go far enough. Leslie Libruto is Managing director of 202 00:09:51,160 --> 00:09:54,240 Speaker 3: Sustainable Finance at the Environmental Defense Fund. It's a nonprofit 203 00:09:54,240 --> 00:09:56,520 Speaker 3: that works to address climate change, which it calls the 204 00:09:56,559 --> 00:09:59,920 Speaker 3: greatest challenge of our time. She joins us from London today, Leslie, 205 00:10:00,360 --> 00:10:03,880 Speaker 3: do you think the SEC climate disclosure requirement goes far enough? 206 00:10:05,520 --> 00:10:07,960 Speaker 4: Hey, guys, great to be here. To be honest, this 207 00:10:08,240 --> 00:10:12,439 Speaker 4: SEC rolling it's a positive development for businesses and investors. 208 00:10:13,160 --> 00:10:17,080 Speaker 4: We needed this step, it was overdue, and finally it's 209 00:10:17,080 --> 00:10:19,400 Speaker 4: a chance to bring the United States to a point 210 00:10:19,400 --> 00:10:23,200 Speaker 4: of consistency and rigor in disclosures that we hadn't seen before. 211 00:10:23,520 --> 00:10:26,720 Speaker 4: So we obviously the Commission will go further, but this 212 00:10:26,880 --> 00:10:28,800 Speaker 4: is a foundational step that we need to take in 213 00:10:28,880 --> 00:10:29,640 Speaker 4: order to start moving us. 214 00:10:30,000 --> 00:10:33,120 Speaker 3: How much further, do you want the SEC to mandate 215 00:10:33,160 --> 00:10:36,640 Speaker 3: that companies disclose emissions within their supply chain, because that's 216 00:10:36,640 --> 00:10:38,440 Speaker 3: what a lot of critics are pushing back on right now. 217 00:10:39,640 --> 00:10:41,960 Speaker 4: Yeah, I mean, look, we need to start somewhere. And 218 00:10:42,000 --> 00:10:45,160 Speaker 4: at this point, when we see all of the considerations 219 00:10:45,160 --> 00:10:48,400 Speaker 4: being taken into account, climate risk is financial risk, and 220 00:10:48,440 --> 00:10:50,719 Speaker 4: this is where we need to start. And you know, 221 00:10:50,880 --> 00:10:54,880 Speaker 4: the SEC is long required disclosures across a number of 222 00:10:54,920 --> 00:10:58,240 Speaker 4: different metrics, and finally we're seeing a step forward and 223 00:10:58,360 --> 00:11:01,160 Speaker 4: really getting public companies towards they need to be. And 224 00:11:01,200 --> 00:11:04,000 Speaker 4: with the tunnel lined disclosures, it also gets smaller companies, 225 00:11:04,040 --> 00:11:05,800 Speaker 4: gives them a chance to really get up to speed, 226 00:11:06,160 --> 00:11:08,679 Speaker 4: and then finally we can evolve on this role over time. 227 00:11:09,000 --> 00:11:10,600 Speaker 4: But for now, this is where we need to start 228 00:11:10,640 --> 00:11:11,320 Speaker 4: to get the ball moving. 229 00:11:11,360 --> 00:11:13,000 Speaker 1: I mean, this is what ESG was supposed to be. 230 00:11:13,040 --> 00:11:18,120 Speaker 1: I think about right to really understand environmental social governance 231 00:11:18,200 --> 00:11:23,079 Speaker 1: issues and what risks financially materially they are for companies. 232 00:11:23,320 --> 00:11:27,040 Speaker 1: Having said that, what the SEC is doing and Chairgantler 233 00:11:27,160 --> 00:11:31,000 Speaker 1: is doing, we're now getting a standardization right, so apples 234 00:11:31,000 --> 00:11:34,840 Speaker 1: to apples from company to company, but it's. 235 00:11:34,760 --> 00:11:37,320 Speaker 4: More than that it's apples to apples, but finally we 236 00:11:37,360 --> 00:11:41,160 Speaker 4: have an ability to foster transparency. It means that investors 237 00:11:41,200 --> 00:11:43,760 Speaker 4: and people like you and me can finally start seeing 238 00:11:43,760 --> 00:11:46,240 Speaker 4: the data. As you said, apples to apples. But it 239 00:11:46,240 --> 00:11:48,600 Speaker 4: also builds a more resilient market. Right if you're in 240 00:11:48,640 --> 00:11:51,320 Speaker 4: Louisiana and you're a company and you're not thinking about flooding, 241 00:11:51,679 --> 00:11:54,280 Speaker 4: you're not thinking about the material risks to your business 242 00:11:54,320 --> 00:11:57,600 Speaker 4: that are going to affect ultimately your resilience and your growth. 243 00:11:58,360 --> 00:12:00,400 Speaker 4: And you know, imagine if your a utility company and 244 00:12:00,440 --> 00:12:03,240 Speaker 4: you're not thinking about wildfires. I mean, if you look 245 00:12:03,280 --> 00:12:05,920 Speaker 4: at the data, the US alone has suffered six hundred 246 00:12:06,040 --> 00:12:09,320 Speaker 4: billion dollars in damages from just about one hundred weather 247 00:12:09,480 --> 00:12:12,160 Speaker 4: months in the last five years alone. These are things 248 00:12:12,160 --> 00:12:14,880 Speaker 4: that we're trying to start taking to consideration where we're 249 00:12:14,880 --> 00:12:17,880 Speaker 4: looking at businesses and evaluating, you know, should I invest 250 00:12:17,920 --> 00:12:20,360 Speaker 4: in this one or that one. We now have data 251 00:12:20,520 --> 00:12:23,679 Speaker 4: around just climate risk, which again is a financial risk 252 00:12:23,920 --> 00:12:27,000 Speaker 4: that can help us make better decisions, help investors figure 253 00:12:27,000 --> 00:12:30,120 Speaker 4: out where to allocate capital, and again help folks from 254 00:12:30,160 --> 00:12:32,120 Speaker 4: Main Street to Wall Street figure out where to put 255 00:12:32,120 --> 00:12:32,440 Speaker 4: their money. 256 00:12:32,600 --> 00:12:35,400 Speaker 1: Leslie, we talk scope on Scope two emissions. But my 257 00:12:35,480 --> 00:12:38,920 Speaker 1: understanding is the biggest change from the proposed rules initially 258 00:12:39,280 --> 00:12:42,280 Speaker 1: that public companies are no longer required to report Scope 259 00:12:42,320 --> 00:12:45,240 Speaker 1: three emissions are those from the supply chain and the 260 00:12:45,280 --> 00:12:48,520 Speaker 1: downstream use of products, even though that these often represent 261 00:12:48,840 --> 00:12:52,160 Speaker 1: the largest portion of a company's greenhouse gas emissions. So 262 00:12:52,800 --> 00:12:56,079 Speaker 1: is that kind of a big bummer to be quite honest. 263 00:12:56,600 --> 00:12:59,160 Speaker 4: I mean, look again, we got to start somewhere, right, 264 00:12:59,240 --> 00:13:01,400 Speaker 4: and when we look where we got to start in 265 00:13:01,440 --> 00:13:04,240 Speaker 4: the United States, we're asking public companies to now do 266 00:13:04,320 --> 00:13:06,959 Speaker 4: something that. Mind you, ninety nine percent of the S 267 00:13:07,000 --> 00:13:09,800 Speaker 4: and P five hundred already report on some metrics around 268 00:13:09,840 --> 00:13:13,880 Speaker 4: sustainability and non financial metrics in general. So for us, 269 00:13:13,920 --> 00:13:15,640 Speaker 4: it's a chance to really brand us up to speed 270 00:13:15,679 --> 00:13:18,440 Speaker 4: and then we hope the SEC can keep evolving on 271 00:13:18,520 --> 00:13:20,600 Speaker 4: this decision over time. Right, this isn't a one and 272 00:13:20,640 --> 00:13:23,600 Speaker 4: done deal. We have time to keep evolving this and 273 00:13:23,760 --> 00:13:25,920 Speaker 4: you know, bring the United States to you know, where 274 00:13:25,920 --> 00:13:28,199 Speaker 4: it wants to be in terms of fully encompassing climate 275 00:13:28,280 --> 00:13:28,840 Speaker 4: risk as one. 276 00:13:28,960 --> 00:13:31,560 Speaker 3: When do we see this move the needle for investors, like, 277 00:13:31,600 --> 00:13:33,920 Speaker 3: when do we start to see this type of data 278 00:13:33,960 --> 00:13:36,880 Speaker 3: come out and actually move a company stock price. 279 00:13:38,200 --> 00:13:40,160 Speaker 4: You know, a lot of this data already exists. We 280 00:13:40,200 --> 00:13:43,720 Speaker 4: talked to one investor. They have to collect twenty five 281 00:13:43,880 --> 00:13:46,400 Speaker 4: thousand data points right now just to get a view 282 00:13:46,440 --> 00:13:49,880 Speaker 4: of climate risk, and it's oftentimes really inconsistent. Because this 283 00:13:50,000 --> 00:13:51,840 Speaker 4: rule is taking effect, and we can start, you know, 284 00:13:51,880 --> 00:13:54,760 Speaker 4: taking time in about a year, those twenty five thousand 285 00:13:54,840 --> 00:13:57,200 Speaker 4: data points that might be inaccurate, we can start seeing 286 00:13:57,200 --> 00:14:00,360 Speaker 4: them streamlined and be reliable. So again investors can start 287 00:14:00,400 --> 00:14:03,280 Speaker 4: looking apples to apples and we can start seeing not 288 00:14:03,320 --> 00:14:05,319 Speaker 4: only what are the risks, but how are these companies 289 00:14:05,360 --> 00:14:07,600 Speaker 4: mitigating them as early as next year? Right? 290 00:14:07,640 --> 00:14:11,360 Speaker 1: And to be fair, I mean this is a leslie. 291 00:14:11,400 --> 00:14:17,679 Speaker 1: This is about how climate can impact financially or does 292 00:14:17,720 --> 00:14:20,560 Speaker 1: it have a financial material financial impact on a company. 293 00:14:21,000 --> 00:14:24,560 Speaker 1: That's what this is about. This isn't necessarily assuming that 294 00:14:24,960 --> 00:14:30,160 Speaker 1: it's going to force companies to do something better for 295 00:14:30,200 --> 00:14:30,800 Speaker 1: the climate. 296 00:14:30,960 --> 00:14:34,920 Speaker 4: Is that fair? This is all about managing risk. It 297 00:14:35,000 --> 00:14:38,760 Speaker 4: is asking companies to say, what material risks have you 298 00:14:38,880 --> 00:14:41,040 Speaker 4: identified and what are you going to do about it? 299 00:14:41,360 --> 00:14:44,120 Speaker 4: So when we're reading reports an less reports looking at 300 00:14:44,160 --> 00:14:46,720 Speaker 4: a company, we can say, oh, they've considered these things 301 00:14:46,720 --> 00:14:50,400 Speaker 4: that are straight up risks to the company, and we 302 00:14:50,480 --> 00:14:53,000 Speaker 4: know that they're mitigating them. Again, I mentioned the stat 303 00:14:53,000 --> 00:14:55,840 Speaker 4: about six hundred million dollars in damages from weather events. 304 00:14:56,120 --> 00:14:58,320 Speaker 4: This is real stuff. These are real risks that we're 305 00:14:58,320 --> 00:15:00,680 Speaker 4: talking about, and this gives us a chance to look 306 00:15:00,680 --> 00:15:03,320 Speaker 4: at those and say, did this company consider them? Are 307 00:15:03,400 --> 00:15:05,800 Speaker 4: they looking at the things that pose significant risks of 308 00:15:05,800 --> 00:15:08,800 Speaker 4: their business that could affect me and you and investors 309 00:15:09,120 --> 00:15:12,720 Speaker 4: in making decisions about allocating capital, where to put more money, 310 00:15:12,920 --> 00:15:14,960 Speaker 4: and how to shift kind of you know, what we're 311 00:15:14,960 --> 00:15:17,760 Speaker 4: seeing as the future for a resilient market in the 312 00:15:17,840 --> 00:15:18,280 Speaker 4: United States. 313 00:15:18,320 --> 00:15:19,960 Speaker 1: Well, having said that, I don't know what work you 314 00:15:20,000 --> 00:15:22,320 Speaker 1: guys have done over at the EDF, but I do 315 00:15:22,400 --> 00:15:26,120 Speaker 1: wonder in terms of, you know, the insurance industry, Tim 316 00:15:26,160 --> 00:15:28,000 Speaker 1: and I in our Bloomberg News team, they have done 317 00:15:28,520 --> 00:15:31,720 Speaker 1: a lot of reporting about was it home insurance in 318 00:15:31,720 --> 00:15:35,520 Speaker 1: California or Florida where insurers are just kind of backing 319 00:15:35,520 --> 00:15:38,480 Speaker 1: off because of the costs. Have you guys done works 320 00:15:38,480 --> 00:15:41,560 Speaker 1: where you where you feel like certain industries, whether it's insurance, 321 00:15:41,600 --> 00:15:44,760 Speaker 1: whether it's home builders, I don't know what where they are. 322 00:15:44,960 --> 00:15:47,400 Speaker 1: You know, once we get a clearer picture, we might 323 00:15:47,440 --> 00:15:51,440 Speaker 1: find that there's a lot more of climate related material 324 00:15:51,480 --> 00:15:55,200 Speaker 1: effects on their businesses that maybe has been way under reported. 325 00:15:56,880 --> 00:15:59,200 Speaker 4: Yeah, you know, our team we are constantly trying to 326 00:15:59,200 --> 00:16:02,480 Speaker 4: equip the final community with independent analysis of what they 327 00:16:02,520 --> 00:16:04,680 Speaker 4: need most to make decisions around climate risk. And this 328 00:16:04,760 --> 00:16:08,840 Speaker 4: completely includes the insurance markets as well. I mean you 329 00:16:08,960 --> 00:16:12,000 Speaker 4: said it so well right. We're seeing insurance shifts all 330 00:16:12,080 --> 00:16:15,680 Speaker 4: over the place, people retracting from markets, premiums going up, 331 00:16:16,040 --> 00:16:17,480 Speaker 4: and a lot of it us to do with. We 332 00:16:17,560 --> 00:16:20,880 Speaker 4: have no idea how to price and assess the risk 333 00:16:20,960 --> 00:16:24,720 Speaker 4: that climate faces poses on businesses. So when we look 334 00:16:24,760 --> 00:16:27,640 Speaker 4: at the insurance market, for example, it's a great chance 335 00:16:27,640 --> 00:16:30,040 Speaker 4: for us to say, how are insurers thinking about this, 336 00:16:30,480 --> 00:16:33,760 Speaker 4: Where can alternative tools step in to build resiliency, and 337 00:16:33,760 --> 00:16:36,240 Speaker 4: how do we stop kind of fueling the beasts, so 338 00:16:36,320 --> 00:16:39,600 Speaker 4: to speak, by making decisions that put consumers at risks 339 00:16:39,800 --> 00:16:42,280 Speaker 4: like building homes and flood zones. Right, And if we 340 00:16:42,280 --> 00:16:45,600 Speaker 4: have a chance to start assessing data that's apples to apples, 341 00:16:45,760 --> 00:16:48,240 Speaker 4: we can start making better decisions that again are working 342 00:16:48,280 --> 00:16:50,200 Speaker 4: for just the general public and you and me. 343 00:16:50,720 --> 00:16:53,520 Speaker 3: You know what's so interesting, Carol, I'm looking at shares 344 00:16:53,560 --> 00:16:55,760 Speaker 3: at BIL resorts. They're right now down five percent. This 345 00:16:55,880 --> 00:16:58,760 Speaker 3: is a company that owns many mountains throughout the United States, 346 00:16:58,800 --> 00:17:01,520 Speaker 3: some outside of the US. The company came out with 347 00:17:01,760 --> 00:17:06,320 Speaker 3: earnings and said that they had forty what is it, 348 00:17:06,560 --> 00:17:10,960 Speaker 3: unfavorable conditions forty two percent lower snowfall across the entire 349 00:17:11,040 --> 00:17:14,720 Speaker 3: western North American resorts through January compared to the same 350 00:17:14,720 --> 00:17:15,840 Speaker 3: period a year prior. 351 00:17:15,920 --> 00:17:17,680 Speaker 1: So this would play right into it exactly. 352 00:17:17,720 --> 00:17:19,320 Speaker 3: I mean, this is we're talking about. I mean, this 353 00:17:19,400 --> 00:17:22,160 Speaker 3: is a company that has sample yeah, and that it's 354 00:17:22,240 --> 00:17:25,199 Speaker 3: like because of climate change, because of our shifting climate, 355 00:17:25,480 --> 00:17:27,240 Speaker 3: they're seeing real, real detriment. 356 00:17:27,440 --> 00:17:29,600 Speaker 1: No, and that's so Leslie, this is the kind of 357 00:17:29,600 --> 00:17:31,560 Speaker 1: thing that we're talking about. You're nodding your head. Is 358 00:17:31,880 --> 00:17:36,560 Speaker 1: California though, the holy grail? Because when it comes to rules, 359 00:17:37,720 --> 00:17:40,119 Speaker 1: you know, in terms of you know, in regards I 360 00:17:40,119 --> 00:17:42,359 Speaker 1: guess to some of the climate if you will, or 361 00:17:42,400 --> 00:17:46,560 Speaker 1: sustainability reporting requirements, is California kind of the holy grail 362 00:17:46,600 --> 00:17:48,080 Speaker 1: in terms of where we need to go with this. 363 00:17:48,160 --> 00:17:50,119 Speaker 1: I know you say it's important, it's great, it's first step, 364 00:17:50,520 --> 00:17:52,880 Speaker 1: but like, what's what's the endgame in your view? 365 00:17:54,680 --> 00:17:58,040 Speaker 4: You know, we've seen different regulations come through in different states, 366 00:17:58,080 --> 00:18:00,760 Speaker 4: and this ruling is a chance to really streamline what 367 00:18:00,760 --> 00:18:04,280 Speaker 4: we're seeing. Obviously, different states have adopted different kind of 368 00:18:05,280 --> 00:18:07,000 Speaker 4: rigor in terms of, you know, where they want to 369 00:18:07,000 --> 00:18:10,199 Speaker 4: see on climate reporting. Finally, because the SEC is an 370 00:18:10,240 --> 00:18:13,880 Speaker 4: independent body, we're seeing a streamlining of the data that's 371 00:18:13,920 --> 00:18:16,040 Speaker 4: going to be coming through. So it's a real chance 372 00:18:16,080 --> 00:18:19,359 Speaker 4: to take the US to a place that is consistent. 373 00:18:19,560 --> 00:18:21,880 Speaker 4: Right and we've already seen sort of some of these 374 00:18:22,160 --> 00:18:27,320 Speaker 4: multinational disclosure frameworks in other markets Canada, Australia, the EU, China. 375 00:18:27,640 --> 00:18:30,280 Speaker 4: The US now has this as well to kind of 376 00:18:30,280 --> 00:18:32,879 Speaker 4: bring us to a speed where it's international and global. 377 00:18:33,119 --> 00:18:35,320 Speaker 3: We only have ten seconds left. But if the election, 378 00:18:35,880 --> 00:18:39,080 Speaker 3: if President Trump wins the election in November, what happens 379 00:18:39,119 --> 00:18:41,399 Speaker 3: to these rules or the way you think about things. 380 00:18:42,560 --> 00:18:45,360 Speaker 4: I mean, fortunately, again the SEC is an independent agency 381 00:18:45,440 --> 00:18:48,560 Speaker 4: acting on a mandate from Congress to protect investors at 382 00:18:48,600 --> 00:18:51,880 Speaker 4: the end of the day, and meant you're not concerned, Hey, 383 00:18:52,200 --> 00:18:54,320 Speaker 4: you know, you don't know. But again, because they're an 384 00:18:54,320 --> 00:18:58,560 Speaker 4: independent agency, we're feeling that these disclosures hopefully figure Scots 385 00:18:58,560 --> 00:18:58,840 Speaker 4: for hear. 386 00:18:58,840 --> 00:19:01,919 Speaker 1: Today leave it on that note, Hele Leslie, thank you 387 00:19:01,920 --> 00:19:05,440 Speaker 1: so much. Leslie Libruto, Managing director of sustainable Finance at 388 00:19:05,440 --> 00:19:08,479 Speaker 1: the Environmental Defense Fund, joining us right here in New 389 00:19:08,560 --> 00:19:09,040 Speaker 1: York City,