1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penel podcast. On Paul swing you 2 00:00:05,360 --> 00:00:07,760 Speaker 1: along with my co host Lisa Brahmas. Each day we 3 00:00:07,880 --> 00:00:10,440 Speaker 1: bring you the most noteworthy and useful interviews for you 4 00:00:10,520 --> 00:00:12,600 Speaker 1: and your money, whether at the grocery store or the 5 00:00:12,640 --> 00:00:15,960 Speaker 1: trading floor. Find a Bloomberg Penl podcast on Apple podcast 6 00:00:16,120 --> 00:00:18,040 Speaker 1: or wherever you listen to podcasts, as well as at 7 00:00:18,079 --> 00:00:22,680 Speaker 1: Bloomberg dot com. We are broadcasting live from the Bloomberg 8 00:00:22,720 --> 00:00:25,280 Speaker 1: New Energy Finance Summit at the Grand Hyatt in New 9 00:00:25,360 --> 00:00:27,400 Speaker 1: York City, and one of the big questions here Paul 10 00:00:27,840 --> 00:00:31,080 Speaker 1: is how do you develop an infrastructure to allow electric 11 00:00:31,160 --> 00:00:35,320 Speaker 1: vehicles to really gain a popularity that would change the 12 00:00:35,320 --> 00:00:39,000 Speaker 1: fossil fuel emissions of the United States. Joining us to 13 00:00:39,040 --> 00:00:42,239 Speaker 1: discuss that is Pascual Romano. He is President, chief executive 14 00:00:42,240 --> 00:00:45,800 Speaker 1: officer of charge Point, normally based in Campbell Campbell, California, 15 00:00:45,840 --> 00:00:47,800 Speaker 1: but he decided to come here even though it is 16 00:00:47,840 --> 00:00:50,960 Speaker 1: not the weather of Campbell, California. Pasquale, So let's talk 17 00:00:51,000 --> 00:00:54,680 Speaker 1: about this your business, How exactly is it establishing some 18 00:00:54,760 --> 00:00:59,680 Speaker 1: sort of framework network charging stations for those electric vehicles? Um, 19 00:00:59,680 --> 00:01:02,880 Speaker 1: the the key is cars charge where their park most 20 00:01:02,880 --> 00:01:04,959 Speaker 1: of the time, it's a car's about a four percent 21 00:01:05,040 --> 00:01:07,800 Speaker 1: utilized asset. So of the time, it's kind of like 22 00:01:07,840 --> 00:01:10,080 Speaker 1: your cat. It just sleeps all day, and where it 23 00:01:10,120 --> 00:01:13,600 Speaker 1: sleeps is at home while you're sleeping, or at work. Uh, 24 00:01:13,640 --> 00:01:15,960 Speaker 1: and a little bit of retail and around town. So 25 00:01:16,280 --> 00:01:18,960 Speaker 1: the problem seems daunting if you have to populate all 26 00:01:19,000 --> 00:01:22,160 Speaker 1: those parking lots that you see when you're driving around. Um, 27 00:01:22,360 --> 00:01:24,559 Speaker 1: but if you view it, if you create a business 28 00:01:24,600 --> 00:01:27,920 Speaker 1: model like we have that lets each business engage with 29 00:01:27,959 --> 00:01:29,920 Speaker 1: the v charging and pay for their portion of it, 30 00:01:30,040 --> 00:01:33,680 Speaker 1: or each property manager, it's actually a completely tractable problem. 31 00:01:33,720 --> 00:01:36,720 Speaker 1: So that's how how we've done it is essentially using 32 00:01:36,760 --> 00:01:40,080 Speaker 1: businesses to crowdfund a very large network could be charging, 33 00:01:40,080 --> 00:01:42,240 Speaker 1: and we introduce models to make it really simple. So 34 00:01:42,280 --> 00:01:44,280 Speaker 1: pass well, just get let us step back a little bit. 35 00:01:44,319 --> 00:01:47,240 Speaker 1: Where are we in this country in terms of adoption 36 00:01:47,480 --> 00:01:50,000 Speaker 1: of electric vehicles? I see more and more of them 37 00:01:50,000 --> 00:01:52,720 Speaker 1: out there. I see more and more charging stations. Actually 38 00:01:52,800 --> 00:01:57,080 Speaker 1: bloomberg downa Princeton has a charging station. Uh. Just generally, 39 00:01:57,120 --> 00:01:58,680 Speaker 1: kind of where are we and where do you think 40 00:01:58,720 --> 00:02:02,880 Speaker 1: we are? Realtive that tip point to really encourage mass adoption. Yeah, 41 00:02:02,880 --> 00:02:04,600 Speaker 1: So The way we look at it is it's uh, 42 00:02:04,840 --> 00:02:06,440 Speaker 1: you know, if you talk to consumers that own an 43 00:02:06,480 --> 00:02:08,679 Speaker 1: electric vehicle, they'll never go back to a gas car. 44 00:02:09,280 --> 00:02:11,679 Speaker 1: The problem is there are enough makes and models to 45 00:02:11,760 --> 00:02:16,360 Speaker 1: fit all the lifestyle choices and and affordability requirements of 46 00:02:16,440 --> 00:02:19,720 Speaker 1: most of most consumers. Half the US market instructs and 47 00:02:19,800 --> 00:02:22,960 Speaker 1: suvsh So until there's enough choice and trucks and SUVs, 48 00:02:23,040 --> 00:02:26,520 Speaker 1: you have a limited penetration. With all that said, Um, 49 00:02:26,600 --> 00:02:28,840 Speaker 1: it's going about as fast as it can go given 50 00:02:28,840 --> 00:02:32,359 Speaker 1: how fast cars turn over. Uh. So we're super encouraged. 51 00:02:32,400 --> 00:02:36,880 Speaker 1: You know, you had you know, three thousand cars sold 52 00:02:36,960 --> 00:02:39,680 Speaker 1: last year in the US that that had to plug. 53 00:02:40,000 --> 00:02:42,760 Speaker 1: You have more coming this year and uh this and 54 00:02:42,880 --> 00:02:46,560 Speaker 1: next year is a literally a model you're extravaganza for 55 00:02:46,639 --> 00:02:48,280 Speaker 1: most of the O E M s that are really dot. 56 00:02:48,360 --> 00:02:51,679 Speaker 1: What is the cost of filling up a car with electricity? Uh, 57 00:02:51,800 --> 00:02:53,840 Speaker 1: compare with filling up a car with gas? Yeah, it's 58 00:02:53,840 --> 00:02:56,200 Speaker 1: a it's a great question. Um, if you fill up 59 00:02:56,240 --> 00:02:58,880 Speaker 1: a car, if you charge your car off peak or 60 00:02:58,960 --> 00:03:01,480 Speaker 1: you use commercial rates at work. By the way, most 61 00:03:01,520 --> 00:03:03,560 Speaker 1: employers give the power away, It's about the cost of 62 00:03:03,560 --> 00:03:07,600 Speaker 1: coffee to give someone although we have good coffee. We 63 00:03:07,639 --> 00:03:09,400 Speaker 1: do have good coffee, so that coffee probably is a 64 00:03:09,400 --> 00:03:11,320 Speaker 1: little more exposive. But I do have to wonder though, 65 00:03:11,800 --> 00:03:14,240 Speaker 1: even if somebody is bearing that cost. So if the 66 00:03:14,720 --> 00:03:17,440 Speaker 1: if the company is bearing that cost, then that means 67 00:03:17,480 --> 00:03:19,480 Speaker 1: that they're going to be less inclined to build out 68 00:03:19,520 --> 00:03:24,119 Speaker 1: this network. If the cost is is priviitially expensive, Yeah, 69 00:03:24,120 --> 00:03:26,680 Speaker 1: it's actually not compared to other things. So first of all, 70 00:03:26,760 --> 00:03:28,840 Speaker 1: let's talk about how much it actually costs. It's about 71 00:03:28,960 --> 00:03:32,720 Speaker 1: four three to five hundred bucks a year, depending on 72 00:03:32,720 --> 00:03:35,680 Speaker 1: the utility rate that you're charging the car on to 73 00:03:36,120 --> 00:03:39,560 Speaker 1: basically uh fuel it to the average drive miles a 74 00:03:39,600 --> 00:03:42,720 Speaker 1: year about their car per car. Now, let's look at 75 00:03:42,760 --> 00:03:45,760 Speaker 1: what corporations currently spend. They spend about three thousand dollars 76 00:03:45,920 --> 00:03:49,480 Speaker 1: subsidizing cafeterias. They spend about two per employee. They spent 77 00:03:49,520 --> 00:03:53,280 Speaker 1: about two thousand per employee on health and wellness Jim's 78 00:03:53,520 --> 00:03:55,480 Speaker 1: things like that. So when you eat that sandwich or 79 00:03:55,480 --> 00:03:58,080 Speaker 1: go to that yoga class at work, your employers really 80 00:03:58,120 --> 00:04:02,480 Speaker 1: subsidizing your uh, you know, your benefit there. Um, they 81 00:04:02,520 --> 00:04:07,160 Speaker 1: spend a three to fos a year on coffee per employee, 82 00:04:07,520 --> 00:04:10,600 Speaker 1: and it's that or less to give people both the 83 00:04:10,640 --> 00:04:14,680 Speaker 1: infrastructure on our subscription services for infrastructure, they can fund 84 00:04:14,800 --> 00:04:17,640 Speaker 1: that plus the energy, so it's not that much more 85 00:04:17,640 --> 00:04:20,960 Speaker 1: money than coffee. They've viewed as pretty insignificant. So how 86 00:04:20,960 --> 00:04:24,440 Speaker 1: many clients are customers do you have with your charging stations? 87 00:04:24,480 --> 00:04:27,120 Speaker 1: And well, what's kind of the growth you guys are seeing. 88 00:04:27,400 --> 00:04:30,560 Speaker 1: It's about about eight thousand UH clients and customers all 89 00:04:30,560 --> 00:04:33,000 Speaker 1: over the United States and Canada now in Europe where 90 00:04:33,080 --> 00:04:35,080 Speaker 1: we entered Europe about a year and a half two 91 00:04:35,120 --> 00:04:38,240 Speaker 1: years ago. UM, so it's growing very, very very quickly. 92 00:04:38,279 --> 00:04:40,920 Speaker 1: To give you a stat that's interesting because I think 93 00:04:40,920 --> 00:04:44,920 Speaker 1: it's a leading indicator. fIF of the fortune one d 94 00:04:45,920 --> 00:04:48,360 Speaker 1: are on charge point and obviously we don't have a 95 00:04:48,440 --> 00:04:51,719 Speaker 1: hundred percent market share, so that shows you what the 96 00:04:51,839 --> 00:04:54,240 Speaker 1: large employers are setting as trends for the future game. 97 00:04:54,560 --> 00:04:57,640 Speaker 1: So I'm just wondering. I noticed that Chevron had invested 98 00:04:57,640 --> 00:05:00,320 Speaker 1: in your company. Are there other oil companies big oil 99 00:05:00,839 --> 00:05:04,080 Speaker 1: UH that's investing in in this company or is it 100 00:05:04,120 --> 00:05:07,800 Speaker 1: exclusive to Chevron? It's not. Our investor sets, not that 101 00:05:07,800 --> 00:05:10,080 Speaker 1: there's no exclusivity in our investor set. We have two 102 00:05:10,080 --> 00:05:12,520 Speaker 1: O E M s UH BMW and Dame lad. We 103 00:05:12,560 --> 00:05:16,000 Speaker 1: have two large utility groups in Constellation and and UH 104 00:05:16,040 --> 00:05:20,040 Speaker 1: A ep UM and and we have now Chevron UH 105 00:05:20,080 --> 00:05:22,400 Speaker 1: and there's no exclusivity. And if you see what Shell 106 00:05:22,440 --> 00:05:26,120 Speaker 1: has been doing in our market, not not investing in US, 107 00:05:26,120 --> 00:05:29,520 Speaker 1: but investing in acquiring companies in the space, and also BP, 108 00:05:29,800 --> 00:05:32,000 Speaker 1: there's a lot of motion with oil and gas. Well, 109 00:05:32,000 --> 00:05:35,040 Speaker 1: who are your big competitors? UM. It depends on the vertical. 110 00:05:35,360 --> 00:05:37,839 Speaker 1: So it's hard to answer that question because we're because 111 00:05:37,839 --> 00:05:40,160 Speaker 1: we've been around so long. We're an eleven year old company, 112 00:05:40,240 --> 00:05:42,800 Speaker 1: raised a little over half a billion over that eleven 113 00:05:42,800 --> 00:05:46,120 Speaker 1: and years. We're the only company, regardless of size, that's 114 00:05:46,120 --> 00:05:50,640 Speaker 1: in every single vertical into continents, right, So we're in home, 115 00:05:50,760 --> 00:05:56,760 Speaker 1: multi family, workplace, UM, UH, Metroarria, fast Highway, fast fleet, 116 00:05:56,839 --> 00:05:59,280 Speaker 1: all those different verticals. There's no other company that's doing 117 00:05:59,279 --> 00:06:02,599 Speaker 1: all that. But in any given vertical, you'll see the 118 00:06:03,480 --> 00:06:06,080 Speaker 1: Anil acquisition of the motor works in the home business, 119 00:06:06,160 --> 00:06:11,240 Speaker 1: for example, so they're there. UM. You'll see UH with Shell, 120 00:06:11,400 --> 00:06:13,800 Speaker 1: the acquisition of green Lots, you'll see UH and and 121 00:06:13,880 --> 00:06:15,680 Speaker 1: a few other things. You'll see them in lease Co 122 00:06:15,839 --> 00:06:17,440 Speaker 1: in Europe, you'll see them in a few areas in 123 00:06:17,480 --> 00:06:20,320 Speaker 1: the United States, So depending on the vertical, you know, 124 00:06:20,360 --> 00:06:23,840 Speaker 1: we got plenty of competitors. Very good. Pascual Romano, Thank 125 00:06:23,839 --> 00:06:26,360 Speaker 1: you very much. Pascual as a president and chief executive 126 00:06:26,360 --> 00:06:29,239 Speaker 1: officer of charge Point based in Cambell, California, but joining 127 00:06:29,320 --> 00:06:31,559 Speaker 1: us here in New York at the Bloomberg New Energy 128 00:06:31,560 --> 00:06:34,280 Speaker 1: Finance someone at the Grand Hyatt d uh in New 129 00:06:34,360 --> 00:06:37,240 Speaker 1: York City. Electric vehicles obviously, you know, people are just 130 00:06:37,279 --> 00:06:41,160 Speaker 1: wondering where and when is the tipping point for mass adoption, 131 00:06:41,160 --> 00:06:42,880 Speaker 1: and I think it's probably gonna come from Detroit when 132 00:06:42,880 --> 00:06:44,840 Speaker 1: we get the you know, a lot more choice. This 133 00:06:45,040 --> 00:06:46,840 Speaker 1: maybe pay attention to the New York Auto Show coming 134 00:06:46,880 --> 00:07:04,680 Speaker 1: up in April. Well, energy policymakers in Washington are frantically 135 00:07:04,720 --> 00:07:08,040 Speaker 1: drying to keep up with changes in consumer behavior as 136 00:07:08,080 --> 00:07:10,880 Speaker 1: well as new technologies and the energy space. To help 137 00:07:10,920 --> 00:07:12,880 Speaker 1: us kind of dig through some of those issues, we 138 00:07:12,880 --> 00:07:16,520 Speaker 1: welcome Sarah Sarah lattis law director and Senior Fellow Energy 139 00:07:16,560 --> 00:07:19,440 Speaker 1: and National Security Program for the Center for Strategic and 140 00:07:19,480 --> 00:07:22,640 Speaker 1: International Studies based in DC. But Sarah's joining us here 141 00:07:22,640 --> 00:07:25,040 Speaker 1: in New York at the Bloomberg New Energy Finance uh, 142 00:07:25,360 --> 00:07:28,720 Speaker 1: symposium Sarah, thank you so much for joining us. UM. Yeah, 143 00:07:28,760 --> 00:07:31,000 Speaker 1: we read a lot about in the press U from 144 00:07:31,000 --> 00:07:33,840 Speaker 1: maybe some of the new presidential candidates for about a 145 00:07:33,880 --> 00:07:37,600 Speaker 1: green New Deal. UM, lots of different flavors out there. 146 00:07:38,040 --> 00:07:39,920 Speaker 1: What is your sense of what some of the core 147 00:07:40,000 --> 00:07:43,080 Speaker 1: components of a green New Deal might incorporate. Yeah, So 148 00:07:43,160 --> 00:07:45,680 Speaker 1: the Green New Deal is a big idea. Uh, it's 149 00:07:45,720 --> 00:07:48,480 Speaker 1: really important that everybody realized there's not a plan, so 150 00:07:48,560 --> 00:07:50,520 Speaker 1: it's just it's just a proposal. It's a big idea, 151 00:07:50,760 --> 00:07:54,720 Speaker 1: and fundamentally it's about tying together the issue of decarbonizing 152 00:07:54,720 --> 00:07:57,800 Speaker 1: the economy for the purposes of managing climate change and 153 00:07:57,920 --> 00:08:01,640 Speaker 1: UM doing something about inequality and income and those types 154 00:08:01,680 --> 00:08:05,520 Speaker 1: of economic insecurity issues. There's not like a prescribed policy 155 00:08:05,560 --> 00:08:08,200 Speaker 1: behind that. But on the green side of the equation, 156 00:08:08,720 --> 00:08:10,920 Speaker 1: it's broadly about trying to find a way to reduce 157 00:08:10,960 --> 00:08:13,720 Speaker 1: emissions in the electric power sector, to reduce emissions from 158 00:08:13,720 --> 00:08:16,440 Speaker 1: the transportation sector, UM, and to do a lot of 159 00:08:16,480 --> 00:08:18,960 Speaker 1: things to refurbish the kind of infrastructure we have to 160 00:08:19,000 --> 00:08:21,840 Speaker 1: make it a lot more energy efficient. Are there policy 161 00:08:22,600 --> 00:08:27,080 Speaker 1: creators drafters in President Trump's administration right now that are 162 00:08:27,120 --> 00:08:30,840 Speaker 1: working on proposals that could move the United States closer 163 00:08:30,920 --> 00:08:36,560 Speaker 1: to reducing emissions substantially. Yeah, So I think the important 164 00:08:36,559 --> 00:08:39,040 Speaker 1: thing is, uh, you know, transitioning from the Green New 165 00:08:39,080 --> 00:08:41,640 Speaker 1: Deal concept, which is really a debate happening in Congress, 166 00:08:41,679 --> 00:08:44,239 Speaker 1: to the executive branch, which is where the Trump administration 167 00:08:44,320 --> 00:08:46,160 Speaker 1: is doing a lot of their pots happening actually now 168 00:08:46,320 --> 00:08:49,040 Speaker 1: right and where they working on So a lot of 169 00:08:49,040 --> 00:08:53,240 Speaker 1: what they're focusing on is really um trying to do 170 00:08:53,280 --> 00:08:56,760 Speaker 1: two things. One, deregulate the US energy sector, which they've 171 00:08:56,760 --> 00:08:59,320 Speaker 1: made a lot of progress on, so remove the regulation 172 00:08:59,360 --> 00:09:03,880 Speaker 1: that they see impinging on the production of energy at 173 00:09:03,960 --> 00:09:06,439 Speaker 1: large across the board. And then also try to sell 174 00:09:06,520 --> 00:09:08,679 Speaker 1: things like oil and natural gas and coal to other 175 00:09:08,720 --> 00:09:10,800 Speaker 1: countries around the world. Right, they realize we have a 176 00:09:10,880 --> 00:09:13,720 Speaker 1: huge amount of energy resources and they're so they're trying 177 00:09:13,720 --> 00:09:16,760 Speaker 1: to sort of develop those things. Those are not necessarily 178 00:09:17,160 --> 00:09:20,920 Speaker 1: commensurate with trying to reduce emissions. So the on the 179 00:09:20,960 --> 00:09:23,000 Speaker 1: natural gas side, to the extent that we're using natural 180 00:09:23,000 --> 00:09:25,240 Speaker 1: gas in the in the US as opposed to coal, 181 00:09:25,640 --> 00:09:28,040 Speaker 1: that's one of the things that they tend to focus 182 00:09:28,080 --> 00:09:30,120 Speaker 1: on when they talk about the success that the US 183 00:09:30,160 --> 00:09:32,520 Speaker 1: has had in terms of emissions productions. Critics of the 184 00:09:32,520 --> 00:09:35,800 Speaker 1: administration would say, you know, a lot of the regulatory efforts, 185 00:09:35,800 --> 00:09:38,360 Speaker 1: whether it's through the Clean Flower Plan or through the 186 00:09:38,400 --> 00:09:41,040 Speaker 1: efficiency measures that they're trying to roll back, are actually 187 00:09:41,080 --> 00:09:44,160 Speaker 1: working against emissions reduction. So it's kind of certainly a 188 00:09:44,200 --> 00:09:46,640 Speaker 1: mixed record in that regard. Well, certainly I'm seeing you know, 189 00:09:46,679 --> 00:09:48,480 Speaker 1: as you as you drive around, you see more and 190 00:09:48,559 --> 00:09:51,160 Speaker 1: more wind farms, You see more and more solar panels 191 00:09:51,160 --> 00:09:54,000 Speaker 1: on just individuals homes as well as businesses. You see 192 00:09:54,000 --> 00:09:57,679 Speaker 1: big farms of solar panels. Is that being driven by 193 00:09:57,720 --> 00:10:01,040 Speaker 1: just the market or is there actually policy behind it, 194 00:10:01,240 --> 00:10:03,720 Speaker 1: driving it and supporting it. Yeah, I think the really 195 00:10:03,760 --> 00:10:06,160 Speaker 1: good news stories you look across the United States, there 196 00:10:06,200 --> 00:10:10,360 Speaker 1: are policies that have driven renewable energy into the market um, 197 00:10:10,440 --> 00:10:14,720 Speaker 1: but increasingly that's aided just by the performance of those assets, right, 198 00:10:14,760 --> 00:10:17,800 Speaker 1: So things like when things like rooftop solar um are 199 00:10:17,880 --> 00:10:21,200 Speaker 1: very cost competitive, utility scale solar cost competitive in a 200 00:10:21,200 --> 00:10:23,920 Speaker 1: lot of different places. Where you're seeing right now is 201 00:10:23,960 --> 00:10:26,480 Speaker 1: state level policies that are looking out and saying, hey, 202 00:10:26,520 --> 00:10:29,920 Speaker 1: we've actually been able to increase renewable kinnetration into our 203 00:10:29,960 --> 00:10:32,160 Speaker 1: electric power sector. We think it's been a good thing. 204 00:10:32,200 --> 00:10:35,240 Speaker 1: It's created jobs, it's reduced emissions. There's an industry here 205 00:10:35,280 --> 00:10:38,079 Speaker 1: for this kind of stuff now, and they're doubling down 206 00:10:38,120 --> 00:10:41,120 Speaker 1: on some of those policies. UM particular ones. When you 207 00:10:41,160 --> 00:10:45,240 Speaker 1: talk about deregulation, we focus a lot on oil drilling 208 00:10:45,240 --> 00:10:48,359 Speaker 1: in the United States. We focus less on our relationship 209 00:10:48,400 --> 00:10:51,440 Speaker 1: with nuclear power and some of these issues that might 210 00:10:51,480 --> 00:10:54,560 Speaker 1: affect national security in a way that people might be uh, 211 00:10:54,679 --> 00:10:56,840 Speaker 1: not me as aware of where are we with that 212 00:10:57,000 --> 00:11:00,600 Speaker 1: and how much has deregulation kind of changed the game there. 213 00:11:01,480 --> 00:11:03,760 Speaker 1: So I think in the on the nuclear power side 214 00:11:03,760 --> 00:11:06,760 Speaker 1: of the equation, the administration is focusing on national security 215 00:11:06,800 --> 00:11:09,560 Speaker 1: implications of not having a nuclear sector. And so you 216 00:11:09,600 --> 00:11:12,199 Speaker 1: just saw Secretary Perry go down to Georgia and to 217 00:11:13,520 --> 00:11:17,720 Speaker 1: um announced additional loan guarantees for the sort of ailing 218 00:11:17,800 --> 00:11:20,720 Speaker 1: nuclear plants that are that are being built there. And 219 00:11:20,760 --> 00:11:22,600 Speaker 1: I think that's one of the reasons why you've seen 220 00:11:22,600 --> 00:11:24,840 Speaker 1: both the administration in the Hills sort of talking about 221 00:11:24,880 --> 00:11:27,040 Speaker 1: how do we support nuclear power so that it has 222 00:11:27,040 --> 00:11:30,559 Speaker 1: a future in the United States. Really, it's relatively cost constrained. 223 00:11:30,800 --> 00:11:32,400 Speaker 1: We don't have a lot of projects that have come 224 00:11:32,400 --> 00:11:34,960 Speaker 1: online that have been under cost or on time. They've 225 00:11:35,000 --> 00:11:37,520 Speaker 1: all been over cost and overtime UM. And then you're 226 00:11:37,559 --> 00:11:39,680 Speaker 1: seeing a lot of state level policy that's trying to 227 00:11:39,800 --> 00:11:43,920 Speaker 1: advantage even existing nuclear plants that can't compete in the markets. 228 00:11:43,960 --> 00:11:47,000 Speaker 1: And so I think what's happening is is there's a 229 00:11:47,040 --> 00:11:50,839 Speaker 1: more active dialogue, certainly UM one that this administration is 230 00:11:50,880 --> 00:11:54,240 Speaker 1: engaging in on whether or not having a vibrant nuclear 231 00:11:54,280 --> 00:11:57,960 Speaker 1: industry yields national security benefits for the United States. What 232 00:11:58,040 --> 00:12:02,280 Speaker 1: about exporting the nuclear energy UH technology to other countries. Yeah, 233 00:12:02,320 --> 00:12:04,960 Speaker 1: that's a much more controversial topic. I think in the past. 234 00:12:05,040 --> 00:12:08,280 Speaker 1: You know, whether or not we export nuclear power technologies 235 00:12:08,320 --> 00:12:11,679 Speaker 1: to other countries really depends on the recipient country and 236 00:12:11,400 --> 00:12:14,120 Speaker 1: the level of commitment that we have from them that 237 00:12:14,160 --> 00:12:16,319 Speaker 1: it's going to be safe, that I won't have proliferation risk, 238 00:12:16,400 --> 00:12:18,560 Speaker 1: all of those sorts of things. I think the US 239 00:12:18,679 --> 00:12:22,000 Speaker 1: is really concerned because the US is not as competitive 240 00:12:22,000 --> 00:12:24,880 Speaker 1: internationally as it is anymore, especially relative to people like 241 00:12:25,120 --> 00:12:28,720 Speaker 1: countries like China and Russia that are offering entirely different 242 00:12:28,840 --> 00:12:32,160 Speaker 1: kinds of deals for these other countries, and so, UM, 243 00:12:32,440 --> 00:12:34,719 Speaker 1: the US has really high standards for what it's going 244 00:12:34,800 --> 00:12:36,800 Speaker 1: to export to other countries, and so it's a it's 245 00:12:36,800 --> 00:12:38,760 Speaker 1: a fairly controversial issue as to how to get more 246 00:12:38,760 --> 00:12:41,439 Speaker 1: competitive in that field. Sarah lautus Law, we could spend 247 00:12:41,520 --> 00:12:43,679 Speaker 1: the next hour speaking with you, Sarah lattus Law, Thank 248 00:12:43,720 --> 00:12:45,920 Speaker 1: you so much for being with US, Director and Senior 249 00:12:45,920 --> 00:12:49,000 Speaker 1: Fellow for the Energy and National Security Program at c 250 00:12:49,360 --> 00:12:52,200 Speaker 1: s i S. The Center for Strategic and International Study 251 00:12:52,280 --> 00:12:55,120 Speaker 1: is based in Washington, d C. But joining us here 252 00:12:55,400 --> 00:12:58,880 Speaker 1: Lave from the Blueberg New Energy Finance Summit in New 253 00:12:58,960 --> 00:13:17,240 Speaker 1: York City. But we're here live at the Bloomberg New 254 00:13:17,320 --> 00:13:19,440 Speaker 1: Energy Finance Summit at the Grand Hide Hotel in New 255 00:13:19,480 --> 00:13:22,559 Speaker 1: York City. And one of the key issues being debated 256 00:13:22,600 --> 00:13:26,439 Speaker 1: here is security, a security of the energy grid, security 257 00:13:26,559 --> 00:13:29,520 Speaker 1: of the US infrastructure. And to help us kind of 258 00:13:29,559 --> 00:13:33,000 Speaker 1: dig down on some of these issues, we welcome edgard Captivil. 259 00:13:33,400 --> 00:13:36,880 Speaker 1: He is CEO of Nozomi Networks, Inc. Based in San Francisco, 260 00:13:36,960 --> 00:13:39,480 Speaker 1: but it got it joins us here in New York. 261 00:13:39,559 --> 00:13:42,400 Speaker 1: And I must note that this morning no Zomy Networks 262 00:13:42,840 --> 00:13:46,319 Speaker 1: was named a twenty nineteen New Energy Pioneer by Bloomberg 263 00:13:46,360 --> 00:13:49,040 Speaker 1: New Energy Finance. So congratulations at Gardener thank you very much. 264 00:13:49,480 --> 00:13:52,640 Speaker 1: So talk to us a little bit about I guess 265 00:13:52,679 --> 00:13:55,440 Speaker 1: the security and industrial securities. We think about more and 266 00:13:55,520 --> 00:13:58,680 Speaker 1: more of industry being automated. That raises the risk for 267 00:13:59,080 --> 00:14:02,720 Speaker 1: cybersecurity issues. What is your sense of the lay of 268 00:14:02,720 --> 00:14:05,840 Speaker 1: the land right now, Um, Paul, that is absolutely correct. 269 00:14:05,960 --> 00:14:10,000 Speaker 1: I think automation is increasing and that dramatic pace. Traditional 270 00:14:10,040 --> 00:14:13,800 Speaker 1: industrial control networks are converging to be more like I 271 00:14:13,840 --> 00:14:17,080 Speaker 1: T networks and that means more exposed, more vulnerable to 272 00:14:17,360 --> 00:14:21,920 Speaker 1: to again exposure an attack. And Um, there are several 273 00:14:22,000 --> 00:14:24,440 Speaker 1: verticals in what we would call critical infrastructure that are 274 00:14:24,440 --> 00:14:27,160 Speaker 1: affected by this. Not only oil and gas, electric power, 275 00:14:27,960 --> 00:14:32,840 Speaker 1: of flavors of power, manufacturing, transportation, chemicals, pharmaceuticals. All these 276 00:14:33,040 --> 00:14:37,800 Speaker 1: articles rely heavily critically on their industrial control networks for 277 00:14:37,880 --> 00:14:41,560 Speaker 1: revenue and production. And again, as we converge and those 278 00:14:41,640 --> 00:14:44,000 Speaker 1: networks get more exposed, we try to get more data 279 00:14:44,000 --> 00:14:48,360 Speaker 1: out of those networks. UM, folks are more vulnerable to attack. 280 00:14:48,800 --> 00:14:52,680 Speaker 1: So Edward, what actually do you do to prevent these attacks? Absolutely, 281 00:14:52,680 --> 00:14:55,440 Speaker 1: we have an appliance that connects to these industrial control networks. 282 00:14:55,440 --> 00:14:57,800 Speaker 1: And first the first thing we do is, you know, 283 00:14:57,880 --> 00:14:59,840 Speaker 1: you can't protect what you can see. So the first 284 00:14:59,840 --> 00:15:01,360 Speaker 1: thing you want to do is provide a layer of 285 00:15:01,440 --> 00:15:05,880 Speaker 1: visibility in industrial control network which traditionally have been under 286 00:15:05,960 --> 00:15:09,320 Speaker 1: instrumented from a bunch of legacy reasons. There were there 287 00:15:09,360 --> 00:15:11,920 Speaker 1: were um a little bit backwards. When it comes to 288 00:15:12,040 --> 00:15:15,200 Speaker 1: technology advancement, there's been um there's been a belief that 289 00:15:15,240 --> 00:15:20,560 Speaker 1: they're isolated. But with this convergence, exposure and modernization is accelerating, 290 00:15:20,560 --> 00:15:22,320 Speaker 1: and again people want to get more out of those 291 00:15:22,360 --> 00:15:25,680 Speaker 1: networks from a data analytics point of view, and therefore 292 00:15:25,680 --> 00:15:28,720 Speaker 1: they're connecting them and that makes in them, makes them 293 00:15:28,760 --> 00:15:33,280 Speaker 1: more exposed. So after we provide that initial layer of visibility, 294 00:15:33,320 --> 00:15:36,840 Speaker 1: we learned about the process behavior being operated in network, 295 00:15:36,880 --> 00:15:40,440 Speaker 1: and we provide anomaly detection will never reality management. All 296 00:15:40,520 --> 00:15:45,240 Speaker 1: the cybersecurity infrastructure that allows you to monitor and protect 297 00:15:45,360 --> 00:15:48,400 Speaker 1: industrial control networks as if they wear I T networks. 298 00:15:48,640 --> 00:15:50,800 Speaker 1: So how about we've seen in the past very high 299 00:15:50,840 --> 00:15:54,200 Speaker 1: profile news stories about financial institutions being hacked and so 300 00:15:54,280 --> 00:15:56,880 Speaker 1: on and so forth, how would you characterize the United 301 00:15:56,920 --> 00:16:02,240 Speaker 1: States industrial plant in terms of cyber security. Cybersecurity in 302 00:16:02,320 --> 00:16:05,360 Speaker 1: general is not too different from the United States than 303 00:16:05,440 --> 00:16:08,720 Speaker 1: than other places. I think the reason you have not seen, 304 00:16:09,880 --> 00:16:12,400 Speaker 1: you know, something like an industrial nine eleven or or 305 00:16:12,880 --> 00:16:16,880 Speaker 1: a major attack. Is that attacks or or these these 306 00:16:16,920 --> 00:16:21,080 Speaker 1: events have to align, you know, vulnerabilities with intent and 307 00:16:21,360 --> 00:16:24,800 Speaker 1: and and an author who is going to do this. 308 00:16:24,880 --> 00:16:28,280 Speaker 1: So when you look at industries in other regions like 309 00:16:28,320 --> 00:16:32,600 Speaker 1: the Least, et cetera, for them, industrial cybersecurity attacks are 310 00:16:33,000 --> 00:16:36,760 Speaker 1: not a theoretical scenario that happens in a fairly significant way. 311 00:16:37,120 --> 00:16:39,400 Speaker 1: Very few of those get get to the press. In 312 00:16:39,440 --> 00:16:44,040 Speaker 1: the US, that alignment hasn't happened of intent, uh, combined 313 00:16:44,040 --> 00:16:46,440 Speaker 1: with the vulnerability aspect, not to a great extent. We 314 00:16:46,480 --> 00:16:50,400 Speaker 1: have a lot of reconnaissance activity happening from different sources, 315 00:16:50,440 --> 00:16:53,440 Speaker 1: and that's been in public information. But we we really 316 00:16:53,440 --> 00:16:55,760 Speaker 1: haven't had a major attack in the U s s 317 00:16:55,880 --> 00:16:59,120 Speaker 1: as that that has been publicly UM that has been 318 00:16:59,120 --> 00:17:03,000 Speaker 1: publishedist has been publicized. That's what I'm wondering. What have 319 00:17:03,080 --> 00:17:06,120 Speaker 1: we not heard about that has happened or at least 320 00:17:06,160 --> 00:17:09,080 Speaker 1: that has been blocked. I'm wondering how big of an 321 00:17:09,119 --> 00:17:13,199 Speaker 1: investment are energy companies making in cybersecurity right now? It 322 00:17:13,359 --> 00:17:16,520 Speaker 1: varies by industry. UM. Some of the industries that are 323 00:17:16,560 --> 00:17:20,240 Speaker 1: more regulator or have tighter budgets obviously make make less 324 00:17:20,280 --> 00:17:23,000 Speaker 1: of an investment. We've seen a tremendous amount investment from 325 00:17:23,000 --> 00:17:26,080 Speaker 1: an oil and gas perspective, even though those those companies 326 00:17:26,280 --> 00:17:30,360 Speaker 1: don't are not necessarily the fast movers. Electric companies from 327 00:17:30,520 --> 00:17:34,080 Speaker 1: downstream to upstream to downstream have also made significant investments, 328 00:17:34,119 --> 00:17:37,800 Speaker 1: both in the US and globally. Chemical plants, mining plants, 329 00:17:37,880 --> 00:17:41,680 Speaker 1: everybody who needs to ensure the reliability of their production. 330 00:17:42,119 --> 00:17:45,720 Speaker 1: If you as you talk to your clients, um, what 331 00:17:45,720 --> 00:17:49,280 Speaker 1: what areas of their industrial operations do they feel is 332 00:17:49,440 --> 00:17:54,440 Speaker 1: most exposed? Is there a common threat or common exposure area? 333 00:17:55,119 --> 00:17:59,240 Speaker 1: It really depends again by by vertical um in manufacturing 334 00:17:59,320 --> 00:18:02,000 Speaker 1: or mining, it's it's primarily you know, kind of one 335 00:18:02,000 --> 00:18:05,200 Speaker 1: business in oil and gas and electric you have upstream 336 00:18:05,240 --> 00:18:09,439 Speaker 1: downstream retail. We don't really get too much into the 337 00:18:09,440 --> 00:18:12,240 Speaker 1: detail because retail side because those are more like I 338 00:18:12,320 --> 00:18:15,160 Speaker 1: T networks. So I'm just wondering, how does this fit 339 00:18:15,200 --> 00:18:18,919 Speaker 1: into new energy, wind and solar. Yeah, absolutely, we call 340 00:18:19,000 --> 00:18:23,240 Speaker 1: that distributed generation like everybody else UM and distribute generation 341 00:18:23,280 --> 00:18:27,560 Speaker 1: has its own characteristics, but but it's absolutely UM part 342 00:18:27,600 --> 00:18:29,600 Speaker 1: of part of the game. So so you know, there's 343 00:18:30,000 --> 00:18:32,760 Speaker 1: industrial controls in a wind turbine, and I was just 344 00:18:32,760 --> 00:18:35,520 Speaker 1: wondering because you won this this New Energy Pioneer Award 345 00:18:35,560 --> 00:18:38,639 Speaker 1: for this year. Congratulations, thank you. And I'm just thinking 346 00:18:38,720 --> 00:18:41,680 Speaker 1: that this security is something that goes throughout every aspect 347 00:18:41,920 --> 00:18:44,640 Speaker 1: of energy, and I'm just wondering, you know, is there 348 00:18:44,680 --> 00:18:48,240 Speaker 1: something unique about sort of the new energy complex when 349 00:18:48,280 --> 00:18:53,639 Speaker 1: it comes to security. Um, new energy is great. From 350 00:18:53,680 --> 00:18:56,439 Speaker 1: the perspective of industrial cybersecurity and exposure is not too 351 00:18:56,480 --> 00:18:59,159 Speaker 1: different other than maybe the cost structure has to be 352 00:18:59,160 --> 00:19:02,399 Speaker 1: different for those remote distributed sites. But other than the 353 00:19:02,440 --> 00:19:06,320 Speaker 1: cost structure required to to serve those from our perspective, 354 00:19:06,320 --> 00:19:09,720 Speaker 1: which is uh to provide visibility and protection, it's it's 355 00:19:09,840 --> 00:19:12,639 Speaker 1: very very similar. Edguard cup Ta Vielle, thank you so 356 00:19:12,720 --> 00:19:15,560 Speaker 1: much for being with us. Edgard Captive Villas, chief executive 357 00:19:15,560 --> 00:19:18,120 Speaker 1: officer of Zomi Networks, which is based in San Francisco, 358 00:19:18,200 --> 00:19:20,280 Speaker 1: but he joins us here in New York for the 359 00:19:20,359 --> 00:19:38,480 Speaker 1: Bloomberg New Energy Finance Conference. Well, Bloomberg News is reporting 360 00:19:38,480 --> 00:19:40,600 Speaker 1: this morning that Theresa May is inclined to put our 361 00:19:40,640 --> 00:19:43,560 Speaker 1: Brexit deal to a third vote in Parliament on Tuesday, 362 00:19:43,560 --> 00:19:46,280 Speaker 1: according to people familiar with the matter. Likewise, the EU 363 00:19:46,440 --> 00:19:48,720 Speaker 1: is also saying that is now prepared to handle the 364 00:19:48,760 --> 00:19:52,320 Speaker 1: impact of the UK leaving without an agreement, a scenario 365 00:19:52,480 --> 00:19:55,639 Speaker 1: it describes as quote increasingly likely. So a lot of 366 00:19:55,640 --> 00:19:58,760 Speaker 1: pieces are moving in the Brexit debate. To get the latest, 367 00:19:59,240 --> 00:20:01,520 Speaker 1: we welcome John Author's John as a senior editor for 368 00:20:01,560 --> 00:20:06,000 Speaker 1: Bloomberg Markets. He joins us in our Bloomberg Interactive Broker studio. John, 369 00:20:06,040 --> 00:20:08,360 Speaker 1: thanks so much for joining us. A lot of moving pieces. 370 00:20:08,359 --> 00:20:11,800 Speaker 1: As I said, what is the latest coming out of Parliament? Well, 371 00:20:11,880 --> 00:20:15,919 Speaker 1: we've heard from Theresa May in the last few minutes. 372 00:20:16,720 --> 00:20:21,600 Speaker 1: She hasn't said that she's not holding a third meaningful 373 00:20:21,720 --> 00:20:24,280 Speaker 1: vote to use the phrase we will got used to, 374 00:20:25,040 --> 00:20:28,959 Speaker 1: but she has said I'm sure correctly that she doesn't 375 00:20:29,080 --> 00:20:34,679 Speaker 1: yet have enough support to win one. Now what is 376 00:20:34,760 --> 00:20:39,720 Speaker 1: intriguing is, obviously we've also had all this glorious back 377 00:20:39,800 --> 00:20:46,240 Speaker 1: sit back scenes, backstage political maneuvering going on all weekend. Plainly, 378 00:20:46,840 --> 00:20:51,960 Speaker 1: a lot of the most euroskeptic, most pro Brexit MP's 379 00:20:52,960 --> 00:20:57,800 Speaker 1: who've been talking to have suggested that they might be 380 00:20:57,960 --> 00:21:04,359 Speaker 1: prepared to accept her deal as it stands in exchange 381 00:21:04,640 --> 00:21:09,440 Speaker 1: for a copper bottomed promised from her to quit, which 382 00:21:09,600 --> 00:21:11,560 Speaker 1: which is a difficult situation for her to be into 383 00:21:11,560 --> 00:21:13,600 Speaker 1: present mildly sorry at least, no, no, no no, no worries 384 00:21:13,600 --> 00:21:16,560 Speaker 1: it all. Does anyone have like a chance of hard 385 00:21:16,560 --> 00:21:19,480 Speaker 1: brexit ometer? I mean, I feel like that's sort of 386 00:21:19,520 --> 00:21:22,080 Speaker 1: what we're all trying to get at. It's like, are 387 00:21:22,119 --> 00:21:26,119 Speaker 1: we incrementally closer further away from a hard brexit that 388 00:21:26,240 --> 00:21:30,800 Speaker 1: leads to, you know, catastrophe fit. Various people have attempts 389 00:21:31,000 --> 00:21:34,480 Speaker 1: at hard brexit to meters, some of which have got 390 00:21:34,560 --> 00:21:37,040 Speaker 1: us highest fifty percent. I mean, you can, you can 391 00:21:37,040 --> 00:21:40,320 Speaker 1: try to. Unfortunately, I didn't bother to check any of 392 00:21:40,359 --> 00:21:43,560 Speaker 1: them before I came to the studio. So I the 393 00:21:43,800 --> 00:21:47,720 Speaker 1: last I saw you had had them spike as high 394 00:21:47,760 --> 00:21:52,240 Speaker 1: as fifty at one point, most of most versions of 395 00:21:52,440 --> 00:21:54,440 Speaker 1: where you get from the betting on sense on a 396 00:21:54,640 --> 00:21:57,480 Speaker 1: distinctly lower than that. Yeah. Well, I guess I guess 397 00:21:57,480 --> 00:21:59,960 Speaker 1: that the question that also is today move us closer 398 00:22:00,359 --> 00:22:06,360 Speaker 1: towards the higher than or lower. I think we are 399 00:22:06,720 --> 00:22:14,480 Speaker 1: probably probably moving towards lower than fifty, but I wouldn't 400 00:22:14,600 --> 00:22:19,240 Speaker 1: want to swear to it. I suspect um that terraising 401 00:22:19,320 --> 00:22:25,360 Speaker 1: may may have got to the point where her unpopularity 402 00:22:25,720 --> 00:22:29,840 Speaker 1: almost begins to work in her favor. There's a lot 403 00:22:29,880 --> 00:22:33,880 Speaker 1: of ardent Brexiteers who are beginning to think, well, let's 404 00:22:33,960 --> 00:22:37,240 Speaker 1: just take this rather than mess around or take the 405 00:22:37,359 --> 00:22:39,760 Speaker 1: risk of leaving without a deal. We'll just take this 406 00:22:40,200 --> 00:22:43,520 Speaker 1: rotten nowforl deal as long as she goes straight away afterwards, 407 00:22:44,040 --> 00:22:46,760 Speaker 1: and then somebody with a bit more you know, British 408 00:22:46,760 --> 00:22:49,639 Speaker 1: bulldog spirit or whatever where they want to look at it, 409 00:22:49,680 --> 00:22:54,760 Speaker 1: can can take over the negotiations from there. Is there 410 00:22:54,800 --> 00:22:57,840 Speaker 1: sense what's the status of a second referenum? I haven't 411 00:22:57,880 --> 00:22:59,720 Speaker 1: heard that spoken too much in the less twenty four 412 00:23:00,280 --> 00:23:02,560 Speaker 1: I think there's a good reason why you haven't heard 413 00:23:02,600 --> 00:23:06,240 Speaker 1: it spoken very much. It's still very difficult to see 414 00:23:06,520 --> 00:23:10,760 Speaker 1: how we get to a second referendum, given that the 415 00:23:10,880 --> 00:23:17,840 Speaker 1: leaders of both parties are very nervous to actively propose 416 00:23:18,560 --> 00:23:21,760 Speaker 1: such a thing, and that that we still have a 417 00:23:21,800 --> 00:23:24,800 Speaker 1: situation where the well, there are two key points. One 418 00:23:24,920 --> 00:23:29,680 Speaker 1: is that you have a critical block of very energized 419 00:23:29,680 --> 00:23:34,080 Speaker 1: brexities with the Conservative Party and the balance holding Democratic 420 00:23:34,160 --> 00:23:37,800 Speaker 1: Unionist Party from Northern Ireland are plainly not up for 421 00:23:37,840 --> 00:23:40,800 Speaker 1: a second referendum. And you also have a large number 422 00:23:40,840 --> 00:23:44,040 Speaker 1: of labor MPs Labor as a party is largely much 423 00:23:44,080 --> 00:23:47,399 Speaker 1: more pro European these days than the Conservatives are. But 424 00:23:47,520 --> 00:23:51,440 Speaker 1: a lot of Labor MPs are in working class neighborhoods 425 00:23:51,440 --> 00:23:54,640 Speaker 1: where there were huge majorities for leaving and are very 426 00:23:54,760 --> 00:23:57,439 Speaker 1: very mindful of that and don't want to go to 427 00:23:57,480 --> 00:24:01,360 Speaker 1: the go back to their local electorates, having having sanctioned 428 00:24:01,359 --> 00:24:07,480 Speaker 1: the second referendum. I suspect, yes, it's it's being here 429 00:24:07,480 --> 00:24:10,119 Speaker 1: in the Zeit Guist in London. It's it almost isn't 430 00:24:10,160 --> 00:24:14,199 Speaker 1: being mentioned at the moment because it's very difficult to 431 00:24:14,240 --> 00:24:17,760 Speaker 1: get there and so contentious to get there. All right, 432 00:24:17,800 --> 00:24:19,920 Speaker 1: so you could take off your Brexit hat. Now we're 433 00:24:19,960 --> 00:24:23,359 Speaker 1: done with that segment of this. Yes, you're happy to 434 00:24:23,359 --> 00:24:26,040 Speaker 1: take off your Brexit hat put on your weather goal 435 00:24:26,320 --> 00:24:31,040 Speaker 1: global markets and bond yields hat, which is of course 436 00:24:31,119 --> 00:24:33,639 Speaker 1: the big conundrum right now, the fact that we're seeing 437 00:24:33,680 --> 00:24:37,360 Speaker 1: the pool of negative yielding debt surge beyond ten trillion 438 00:24:37,440 --> 00:24:40,800 Speaker 1: dollars of most in September two seventeen. Big question here, 439 00:24:41,119 --> 00:24:45,760 Speaker 1: will this backdrop drop push investors back towards risky assets 440 00:24:46,160 --> 00:24:49,679 Speaker 1: or is this just flashing uh don't go their sign 441 00:24:50,440 --> 00:24:53,080 Speaker 1: I tends it tends to be somewhat barish about this 442 00:24:53,160 --> 00:24:56,560 Speaker 1: intense towards the latter, I would say that the single 443 00:24:57,160 --> 00:25:00,960 Speaker 1: most important indicator we need to look to tell which 444 00:25:01,160 --> 00:25:05,000 Speaker 1: though that is what the answer is, is earnings earnings 445 00:25:05,000 --> 00:25:10,160 Speaker 1: per share. Generally speaking, stock earnings do badly when bond 446 00:25:10,200 --> 00:25:13,520 Speaker 1: yields are falling. Even though a falling bond yields can 447 00:25:13,840 --> 00:25:17,800 Speaker 1: plainly help some stocks, all other things equal, earnings tended 448 00:25:17,840 --> 00:25:20,800 Speaker 1: to do badly. They also tend to do badly when 449 00:25:21,200 --> 00:25:24,480 Speaker 1: we are in a state of yield curve inversion. And 450 00:25:24,560 --> 00:25:28,480 Speaker 1: you have actually seen a very sharp full in earnings 451 00:25:28,520 --> 00:25:31,840 Speaker 1: expectations so far this year that the markets, the stock 452 00:25:31,880 --> 00:25:37,840 Speaker 1: marketers totally ignored. I think that's where the critical point lies. 453 00:25:37,880 --> 00:25:43,080 Speaker 1: If there was still real earning power, earning capacity in 454 00:25:43,119 --> 00:25:47,960 Speaker 1: the corporate sector, then you probably could see through what's 455 00:25:48,000 --> 00:25:51,439 Speaker 1: happening in bonds. You could take advantage of the of 456 00:25:51,520 --> 00:25:54,120 Speaker 1: the fact that money is cheap. But as it stands, 457 00:25:54,200 --> 00:25:56,120 Speaker 1: I think we need more to think of the bond 458 00:25:56,160 --> 00:26:01,359 Speaker 1: marketers giving us a message. It's as good an aggregator 459 00:26:01,400 --> 00:26:05,240 Speaker 1: as any of of prospects for the for the economy, 460 00:26:05,880 --> 00:26:08,159 Speaker 1: as you know very well yourself, and I think it 461 00:26:08,320 --> 00:26:14,000 Speaker 1: probably suggests that that we should be bearish about corporate 462 00:26:14,040 --> 00:26:17,600 Speaker 1: earnings and therefore probably that we should bearish about risky assets. Hey, John, 463 00:26:17,640 --> 00:26:21,000 Speaker 1: I hear from somebody in my ear that you were 464 00:26:21,000 --> 00:26:24,720 Speaker 1: starting a new book club for Bloomberg. Tell us about that. Yes, yes, 465 00:26:25,080 --> 00:26:28,439 Speaker 1: imaginatively called author's notes. Can't resist a pun on my 466 00:26:28,480 --> 00:26:33,000 Speaker 1: surname sometimes. So the idea is Oprah style. This is 467 00:26:33,040 --> 00:26:35,639 Speaker 1: this is a big attempt to buy Bloomberg. Were we 468 00:26:35,800 --> 00:26:38,640 Speaker 1: recognize that a lot of our very busy readers wish 469 00:26:38,720 --> 00:26:41,760 Speaker 1: they wish they read far more. And this is like 470 00:26:41,880 --> 00:26:43,800 Speaker 1: any other book club and attempt to try to use 471 00:26:43,800 --> 00:26:47,320 Speaker 1: a bit of peer pressure to actually to actually get 472 00:26:47,359 --> 00:26:49,639 Speaker 1: people to to read the number of people who do 473 00:26:49,760 --> 00:26:52,200 Speaker 1: really start the honestly wanting to read a book a month, 474 00:26:52,520 --> 00:26:56,159 Speaker 1: it's quite serious. So the idea is that Bloomberg is 475 00:26:57,119 --> 00:27:00,200 Speaker 1: designating me initially to to try to be the the 476 00:27:00,200 --> 00:27:03,880 Speaker 1: Bloomberg business book answer to Oprah and nominates a book free. 477 00:27:04,720 --> 00:27:07,200 Speaker 1: There's not many other ways I'm much like Oprah. So 478 00:27:07,600 --> 00:27:10,800 Speaker 1: John authors, hold on a second, you are the Oprah 479 00:27:10,800 --> 00:27:13,000 Speaker 1: of Bloomberg. That is what we're going to introduce you 480 00:27:13,080 --> 00:27:16,640 Speaker 1: as from here on out. John Authors the Oprah of Bloomberg, 481 00:27:16,920 --> 00:27:19,560 Speaker 1: also known as the Senior editor for Bloomberg. Marcus joining 482 00:27:19,640 --> 00:27:21,760 Speaker 1: us from a Bloomberg Atta Active Broker Studios. We have 483 00:27:21,800 --> 00:27:24,679 Speaker 1: been broadcasting live from the Bloomberg New Energy Finance Summit. 484 00:27:26,240 --> 00:27:28,720 Speaker 1: Thanks for listening to the Bloomberg pen L podcast. You 485 00:27:28,720 --> 00:27:31,399 Speaker 1: can subscribe and listen to interviews at Apple Podcast or 486 00:27:31,400 --> 00:27:34,760 Speaker 1: whatever podcast platform you prefer. Paul Sweeney, I'm on Twitter 487 00:27:34,840 --> 00:27:37,119 Speaker 1: at pt Sweeney. I'm Lisa A. Bram Woods. I'm on 488 00:27:37,119 --> 00:27:39,920 Speaker 1: Twitter at Lisa A. Bram wits one before the podcast, 489 00:27:39,960 --> 00:27:42,560 Speaker 1: you can always catch us worldwide. I'm Bloomberg Radio