1 00:00:02,440 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,480 --> 00:00:12,360 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 3 00:00:12,440 --> 00:00:15,120 Speaker 2: weekdays at ten am Eastern on Affo card Playing and 4 00:00:15,240 --> 00:00:18,160 Speaker 2: Broun Auto with the Bloomberg Business App. Listen on demand 5 00:00:18,200 --> 00:00:21,880 Speaker 2: wherever you get your podcasts, or watch us live on YouTube. 6 00:00:22,640 --> 00:00:26,080 Speaker 3: Big economic week this week, lots of economic data coming 7 00:00:26,120 --> 00:00:29,080 Speaker 3: down to Pike, including Jobs Day on Friday week at 8 00:00:29,080 --> 00:00:30,760 Speaker 3: the non farm payroll which is now looking for one 9 00:00:30,800 --> 00:00:34,120 Speaker 3: hundred and ninety five thousand jobs. So the Fed's gonna 10 00:00:34,120 --> 00:00:36,600 Speaker 3: have a lot to digest. Let's check in with Ira Jersey, 11 00:00:36,680 --> 00:00:40,600 Speaker 3: Bloomberg Intelligence US interest rate strategists. So, Ira, where do 12 00:00:40,680 --> 00:00:43,000 Speaker 3: you think the FED is as it sits here today 13 00:00:43,080 --> 00:00:46,800 Speaker 3: digesting you know Jolts number, and they're going to get 14 00:00:46,840 --> 00:00:48,839 Speaker 3: a lot more data coming this week. Where do you 15 00:00:48,840 --> 00:00:50,160 Speaker 3: think the Fed is today? 16 00:00:50,200 --> 00:00:50,400 Speaker 4: Ira? 17 00:00:51,120 --> 00:00:54,360 Speaker 5: Yeah, the Fed I think is looking for the opportunity 18 00:00:54,400 --> 00:00:56,640 Speaker 5: to cut interest rates. I think they've made it pretty 19 00:00:56,640 --> 00:01:00,880 Speaker 5: clear that they're done hiking obviously. Japwell just this morning 20 00:01:00,960 --> 00:01:04,240 Speaker 5: reiterated some words. He's at a symposium with two other 21 00:01:04,880 --> 00:01:09,160 Speaker 5: central bank governors out in Europe, and he said, like, 22 00:01:09,160 --> 00:01:11,319 Speaker 5: look that he doesn't want to cut too early. But 23 00:01:11,360 --> 00:01:14,360 Speaker 5: he also doesn't want to cut too late because if 24 00:01:14,400 --> 00:01:18,440 Speaker 5: they cut too early, then they risk inflation reaccelerating, and 25 00:01:18,480 --> 00:01:21,280 Speaker 5: if they cut too late, that could mean that, you know, 26 00:01:21,280 --> 00:01:22,360 Speaker 5: they go into a recession. 27 00:01:22,400 --> 00:01:24,840 Speaker 6: So I think they want to be cautious here. 28 00:01:25,520 --> 00:01:27,200 Speaker 5: I'm still of the opinion that we're not going to 29 00:01:27,240 --> 00:01:29,920 Speaker 5: have enough data that the Fed's going to be able 30 00:01:29,920 --> 00:01:33,520 Speaker 5: to cut before the election. And I think there's other 31 00:01:33,560 --> 00:01:35,560 Speaker 5: reasons in the back of people's minds will never ever 32 00:01:35,640 --> 00:01:37,679 Speaker 5: admit it, but that they want to kind of in 33 00:01:37,800 --> 00:01:40,000 Speaker 5: order to remain independent. They want to stay out of 34 00:01:40,000 --> 00:01:44,280 Speaker 5: the political arena. So you know, they know that things 35 00:01:44,319 --> 00:01:47,520 Speaker 5: are slowing, but they're not slowing quickly enough for them. 36 00:01:47,680 --> 00:01:49,480 Speaker 5: I think to cut in the very near term. 37 00:01:49,920 --> 00:01:52,400 Speaker 1: Yesterday, Morgan Stanley coming out with a note talking about 38 00:01:52,440 --> 00:01:55,800 Speaker 1: steep inner trade into a potential President Trump. Basically, you're 39 00:01:55,800 --> 00:01:59,000 Speaker 1: going to see higher inflation, slower growth, therefore go bet 40 00:01:59,000 --> 00:02:03,840 Speaker 1: on steepeners. Think about that. These calls we're starting to see, well, I. 41 00:02:03,800 --> 00:02:06,520 Speaker 5: Think eventually the curve will be meaningfully steeper. I mean 42 00:02:06,720 --> 00:02:09,040 Speaker 5: the curve is still inverted if depending on where you're looking. 43 00:02:09,040 --> 00:02:10,520 Speaker 5: So if you look at the two year versus ten 44 00:02:10,600 --> 00:02:13,400 Speaker 5: year You know that has moved twenty ish basis points 45 00:02:13,400 --> 00:02:17,120 Speaker 5: from around negative fifty basis points to negative thirty. I 46 00:02:17,200 --> 00:02:19,160 Speaker 5: was actually I'm working on a note right now looking 47 00:02:19,160 --> 00:02:23,440 Speaker 5: at market technicals, at technical analysis, and we're getting pretty 48 00:02:23,480 --> 00:02:29,400 Speaker 5: close to an interesting and interesting technical resistance point. I 49 00:02:29,400 --> 00:02:33,480 Speaker 5: think that that steepeners makes sense and are But the 50 00:02:33,480 --> 00:02:35,480 Speaker 5: problem is, I think you're going to get stopped out 51 00:02:35,480 --> 00:02:38,400 Speaker 5: once or twice if you get in now you know 52 00:02:38,440 --> 00:02:39,600 Speaker 5: we've already steepened a bit. 53 00:02:39,840 --> 00:02:41,480 Speaker 6: Ye, You're We're probably going to. 54 00:02:41,560 --> 00:02:44,600 Speaker 5: Pull back at least at some point, and so there 55 00:02:44,639 --> 00:02:47,080 Speaker 5: might be better entry levels for those types of trades. 56 00:02:48,240 --> 00:02:50,639 Speaker 5: The I think one of the big questions is will 57 00:02:50,680 --> 00:02:54,079 Speaker 5: we see what we've if Donald Trump is elected, will 58 00:02:54,120 --> 00:02:56,680 Speaker 5: we continue to see bear steepeners? Right so, where two 59 00:02:56,760 --> 00:02:59,120 Speaker 5: year yields basically have done nothing, all of this move 60 00:02:59,160 --> 00:03:02,360 Speaker 5: has come from the ten your yield moving higher, and 61 00:03:02,400 --> 00:03:05,000 Speaker 5: that's on the expectation that we'll have higher deficits, that 62 00:03:05,040 --> 00:03:07,880 Speaker 5: we might have higher inflation, that the FED might not 63 00:03:07,960 --> 00:03:11,000 Speaker 5: be as active. But I think at some point we're 64 00:03:11,000 --> 00:03:12,680 Speaker 5: actually going to get the opposite. We're going to get 65 00:03:13,000 --> 00:03:15,399 Speaker 5: what we're going to get. Bull steepeners where you see 66 00:03:15,440 --> 00:03:17,400 Speaker 5: two year yields go down to four and a quarter 67 00:03:17,480 --> 00:03:21,360 Speaker 5: four percent from where they are today, whereas ten year 68 00:03:21,440 --> 00:03:23,720 Speaker 5: yields might not move quite as much even if Donald 69 00:03:23,760 --> 00:03:26,600 Speaker 5: Trump is elected, because what's I think underappreciated by the 70 00:03:26,600 --> 00:03:28,560 Speaker 5: market right now. They're all focused, A lot of people 71 00:03:28,600 --> 00:03:31,480 Speaker 5: focus on the fiscal aspect of what Donald Trump might do, 72 00:03:31,840 --> 00:03:35,680 Speaker 5: but he's also very likely to appoint a more dubvish 73 00:03:35,880 --> 00:03:39,880 Speaker 5: Chair of the Fed and not reappoint Chair Powell. So 74 00:03:40,040 --> 00:03:42,040 Speaker 5: so I think once the market wakes up to that fact, 75 00:03:42,120 --> 00:03:44,400 Speaker 5: I think you could wind up seeing some steepening, but 76 00:03:44,480 --> 00:03:46,800 Speaker 5: the other way, right, so bull steepening as opposed to 77 00:03:46,800 --> 00:03:47,440 Speaker 5: bear steepening. 78 00:03:48,760 --> 00:03:50,760 Speaker 3: I heard you just mentioned debt deficits, and we've heard 79 00:03:50,760 --> 00:03:52,720 Speaker 3: that more and more of the last several weeks and months. 80 00:03:52,720 --> 00:03:55,320 Speaker 3: But quite frankly, I've been hearing about the you know, 81 00:03:55,880 --> 00:04:00,240 Speaker 3: the US debt concerns my entire life more I could 82 00:04:00,280 --> 00:04:00,680 Speaker 3: really care. 83 00:04:01,080 --> 00:04:02,360 Speaker 6: Well, they care a little bit, right. 84 00:04:02,400 --> 00:04:04,480 Speaker 5: So, the way that I look at at Paul is 85 00:04:04,760 --> 00:04:08,440 Speaker 5: as the debt burden grows and we're now at or 86 00:04:08,480 --> 00:04:12,600 Speaker 5: above depending on how you count the deficit above, the 87 00:04:12,640 --> 00:04:16,160 Speaker 5: debt is now bigger than GDP is. Sell offs will 88 00:04:16,200 --> 00:04:19,120 Speaker 5: be more pronounced, and in rallies will be somewhat more limited, 89 00:04:19,360 --> 00:04:22,200 Speaker 5: but we'll still rally. Right, So, if the inflation is lower, 90 00:04:22,279 --> 00:04:25,000 Speaker 5: the economy is lowing, and the Federal Reserve is cutting 91 00:04:25,040 --> 00:04:28,080 Speaker 5: interest rates, we will see treasury yields lower than they 92 00:04:28,080 --> 00:04:30,880 Speaker 5: are you know, at the start of that environment. 93 00:04:31,000 --> 00:04:31,160 Speaker 6: Right. 94 00:04:31,200 --> 00:04:33,919 Speaker 5: So if we do have, in fact, a recession in 95 00:04:33,920 --> 00:04:37,600 Speaker 5: twenty twenty five and inflation coming down and the FED 96 00:04:37,640 --> 00:04:40,960 Speaker 5: cutting one hundred and fifty basis points, then interest rates 97 00:04:40,960 --> 00:04:42,440 Speaker 5: are going to be lower, full stop. 98 00:04:43,560 --> 00:04:45,640 Speaker 6: I think the reason. 99 00:04:45,360 --> 00:04:48,039 Speaker 5: Why the debt burden isn't as big of a deal 100 00:04:48,120 --> 00:04:50,359 Speaker 5: in countries like the US or indeed Japan, if you 101 00:04:50,440 --> 00:04:52,760 Speaker 5: just look at Japan and you know how much debt 102 00:04:52,800 --> 00:04:54,960 Speaker 5: that they have, their debt burden is way higher than 103 00:04:55,000 --> 00:04:58,080 Speaker 5: ours in terms of the size of the economy is 104 00:04:58,080 --> 00:05:00,640 Speaker 5: two things. One is that there's always a back up buyer, right, 105 00:05:00,680 --> 00:05:03,720 Speaker 5: so the central banks can buy the debt if they 106 00:05:03,760 --> 00:05:06,159 Speaker 5: really need to, if there's any kind of liquidity problems. 107 00:05:07,160 --> 00:05:10,040 Speaker 5: There's other issues with that, right where you wind up 108 00:05:10,040 --> 00:05:12,120 Speaker 5: having too much money in the system and too many 109 00:05:12,160 --> 00:05:15,720 Speaker 5: reserves and that might cause inflation. But the other thing 110 00:05:15,800 --> 00:05:17,840 Speaker 5: is is that all of our debt is in dollars, right, 111 00:05:17,880 --> 00:05:21,200 Speaker 5: and we have dollars, so credit risk in countries like 112 00:05:21,240 --> 00:05:25,479 Speaker 5: the US and like Japan, we don't have to worry 113 00:05:25,480 --> 00:05:27,360 Speaker 5: about it. We don't have a lot of external debt. 114 00:05:27,400 --> 00:05:30,240 Speaker 5: It denominates in other currencies, So we're not going to 115 00:05:30,240 --> 00:05:33,560 Speaker 5: have a currency crisis or a credit crunch like you know, 116 00:05:34,040 --> 00:05:36,719 Speaker 5: like Brazil had, or Argentina had, or Russia had back 117 00:05:36,800 --> 00:05:37,560 Speaker 5: twenty years ago. 118 00:05:38,320 --> 00:05:39,960 Speaker 6: That's just not a possibility. 119 00:05:40,480 --> 00:05:42,800 Speaker 5: The risk is that we have to inflate our way 120 00:05:42,800 --> 00:05:44,920 Speaker 5: out of it, and that's I think one of the 121 00:05:44,960 --> 00:05:47,880 Speaker 5: issues that a lot of people are concerned about. 122 00:05:48,200 --> 00:05:50,760 Speaker 1: Well said in good distinction there for sure, All right, 123 00:05:50,760 --> 00:05:54,520 Speaker 1: before we let you go, what's your call for Friday? 124 00:05:54,720 --> 00:05:57,680 Speaker 5: Well, I don't forecast non farm payrolls, but non farm 125 00:05:57,720 --> 00:06:02,839 Speaker 5: payrolls is is I don't, that's WOGS groups mandate, But 126 00:06:04,240 --> 00:06:06,520 Speaker 5: payrolls is by far the most important number to the 127 00:06:06,560 --> 00:06:09,640 Speaker 5: treasury market. And keep in mind, like with with the 128 00:06:09,640 --> 00:06:12,920 Speaker 5: holiday on Thursday and the weekend on Friday, it's very 129 00:06:13,000 --> 00:06:15,440 Speaker 5: likely that trading desks are not going to be fully stabbed. 130 00:06:15,760 --> 00:06:17,600 Speaker 5: So if we do get any kind of surprise, you 131 00:06:17,640 --> 00:06:21,000 Speaker 5: could get either, you know, a really outsized move just 132 00:06:21,040 --> 00:06:23,880 Speaker 5: because there's lack of risk takers kind of in the 133 00:06:23,880 --> 00:06:25,000 Speaker 5: office and trading on. 134 00:06:24,920 --> 00:06:27,320 Speaker 3: It real quick. How disappointed should we be that the 135 00:06:27,480 --> 00:06:29,200 Speaker 3: US men's team did not make it out of the 136 00:06:29,240 --> 00:06:29,680 Speaker 3: round of Stace? 137 00:06:29,720 --> 00:06:31,080 Speaker 1: That's why I thought he was booked by the way. 138 00:06:31,200 --> 00:06:34,240 Speaker 5: I mean, I'm very disappointed quite frankly, But it was 139 00:06:34,520 --> 00:06:37,320 Speaker 5: all about the game against Panama, not so much Orguay. 140 00:06:37,360 --> 00:06:39,120 Speaker 6: We I mean, one nil. 141 00:06:38,960 --> 00:06:41,719 Speaker 5: Against the Orguay is actually a pretty solid result against 142 00:06:41,720 --> 00:06:44,279 Speaker 5: a good team. I mean, obviously you'd want it. We 143 00:06:44,320 --> 00:06:47,080 Speaker 5: wanted to draw or win, and that would have obviously 144 00:06:47,160 --> 00:06:50,240 Speaker 5: put us through if we had won. So it's the 145 00:06:50,279 --> 00:06:53,080 Speaker 5: Panama game that we have to really, you know, assess 146 00:06:53,160 --> 00:06:55,279 Speaker 5: what went wrong. I mean, we know a red card 147 00:06:55,520 --> 00:06:57,640 Speaker 5: early on in the game was the reason. But we 148 00:06:57,680 --> 00:06:59,680 Speaker 5: need to be disappointed here that we didn't make it 149 00:06:59,680 --> 00:07:01,480 Speaker 5: out of group all right? 150 00:07:01,520 --> 00:07:04,039 Speaker 1: Fair enough? Literally and I read this, I thought of you, Ira, 151 00:07:04,120 --> 00:07:07,400 Speaker 1: which means something in the eventually, I'll think about sports. 152 00:07:07,400 --> 00:07:11,880 Speaker 1: I don't know, Ira Jersey, Bloomberg Intelligence GPUs Interest Rate Strategist. 153 00:07:17,880 --> 00:07:21,760 Speaker 2: You're listening to the Bloomberg Intelligence podcast. Catch US Live 154 00:07:21,840 --> 00:07:25,400 Speaker 2: weekdays at ten am Eastern on Applecar Play and Android 155 00:07:25,400 --> 00:07:28,160 Speaker 2: Auto with the Bloomberg Business Act. You can also listen 156 00:07:28,280 --> 00:07:31,400 Speaker 2: live on Amazon Alexa from our flagship New York station. 157 00:07:31,760 --> 00:07:34,800 Speaker 2: Just say Alexa playing Bloomberg eleven thirty. 158 00:07:35,120 --> 00:07:37,960 Speaker 3: Mary, let's go to our c suite discussion today. Ben 159 00:07:38,000 --> 00:07:42,480 Speaker 3: Glitklitch Joints and Ceiz, the CEO of Element Solutions. ESI 160 00:07:42,640 --> 00:07:44,600 Speaker 3: is a ticker. So I put an ESI ticker into 161 00:07:44,600 --> 00:07:47,160 Speaker 3: my Bloomberg terminal. I hit des, which is the most 162 00:07:47,200 --> 00:07:49,280 Speaker 3: widely used function every day on the Bloomberg terminal for 163 00:07:49,360 --> 00:07:54,000 Speaker 3: description says it's a specialty chemicals company. I don't think so, Ben. 164 00:07:54,000 --> 00:07:56,720 Speaker 3: I think Bloomberg got it wrong here. You know, the 165 00:07:56,840 --> 00:07:59,720 Speaker 3: especially a chemel's company. That's not really what you guys do, 166 00:08:00,120 --> 00:08:01,280 Speaker 3: is it. What is it that you get to do 167 00:08:01,320 --> 00:08:01,800 Speaker 3: a SI. 168 00:08:01,920 --> 00:08:04,120 Speaker 7: I'd hate to be in Bloomberg studio and say Bloomberg's 169 00:08:04,120 --> 00:08:07,280 Speaker 7: got it wrong. We think about ourselves as a chemical 170 00:08:07,320 --> 00:08:13,400 Speaker 7: technology company. So our company provides chemical solutions, process solutions 171 00:08:13,440 --> 00:08:17,000 Speaker 7: that really enable outcomes for our customers and our supply chains. 172 00:08:17,080 --> 00:08:20,720 Speaker 7: We're not selling a material, We're selling a process that 173 00:08:21,480 --> 00:08:25,280 Speaker 7: enables the performance of high end electronics. 174 00:08:26,280 --> 00:08:29,280 Speaker 1: So what is okay? So we use your stuff in 175 00:08:29,360 --> 00:08:31,400 Speaker 1: highland electronics or not even that simple. 176 00:08:32,000 --> 00:08:34,880 Speaker 7: So when you think about a typical chemical company, you're 177 00:08:34,920 --> 00:08:38,640 Speaker 7: selling a material that has a chemical formula like commonium, 178 00:08:38,760 --> 00:08:40,600 Speaker 7: like commonium or a titanium dioxide. 179 00:08:40,679 --> 00:08:41,160 Speaker 2: Sure right. 180 00:08:41,320 --> 00:08:44,600 Speaker 7: What we sell is a process that, for instance, turns 181 00:08:44,600 --> 00:08:47,360 Speaker 7: a piece of plastic into a printed circuit board. So 182 00:08:48,040 --> 00:08:53,600 Speaker 7: electronics rely on our material processes for their performance. When 183 00:08:53,640 --> 00:08:59,160 Speaker 7: you think about evolution in computing power, higher end semiconductors 184 00:08:59,480 --> 00:09:02,920 Speaker 7: require more complex solutions. It's not just the materials, it's 185 00:09:02,920 --> 00:09:06,400 Speaker 7: the way they're used, the applications, and then the formulas. 186 00:09:06,400 --> 00:09:08,400 Speaker 7: And that's what we do. We work with our customers 187 00:09:08,440 --> 00:09:12,240 Speaker 7: to develop those solutions, not just in the lab, but 188 00:09:12,320 --> 00:09:16,040 Speaker 7: how they're used in our customers manufacturing processes to deliver 189 00:09:16,120 --> 00:09:19,800 Speaker 7: the performance that allows for breakthroughs like AI. 190 00:09:20,720 --> 00:09:23,960 Speaker 3: Well, my specialty chemicals analyst who I hired, he's in 191 00:09:24,000 --> 00:09:26,880 Speaker 3: with some questions here today, But I guess the real 192 00:09:26,960 --> 00:09:30,560 Speaker 3: question is you just reported some numbers, raised your outlook 193 00:09:30,600 --> 00:09:33,880 Speaker 3: for twenty four what's driving your business today? 194 00:09:34,320 --> 00:09:37,520 Speaker 7: So there were two reasons that we raised our outlook. 195 00:09:37,559 --> 00:09:41,679 Speaker 7: The first is margins, So we sell value. Our products 196 00:09:41,720 --> 00:09:44,439 Speaker 7: are not cost plus, they're based on the value proposition 197 00:09:44,480 --> 00:09:46,760 Speaker 7: to our customers, and so when our cost go up, 198 00:09:46,760 --> 00:09:49,360 Speaker 7: we're able to pass that through, and when cost go down, 199 00:09:49,440 --> 00:09:51,600 Speaker 7: as they have over the past nine months or so, 200 00:09:51,880 --> 00:09:55,040 Speaker 7: we get to keep that and so profitabilities improved. But 201 00:09:55,120 --> 00:09:59,959 Speaker 7: the real more exciting driver is traction in advanced electronics, 202 00:10:00,320 --> 00:10:03,920 Speaker 7: and so all of these AI applications are lifting the 203 00:10:03,960 --> 00:10:07,240 Speaker 7: electronics ecosystem and we have a lot more value in 204 00:10:07,280 --> 00:10:11,280 Speaker 7: those applications, and so we're seeing pretty significant demand acceleration here, 205 00:10:11,679 --> 00:10:14,199 Speaker 7: coming off of a very deep trough in the electronics 206 00:10:14,240 --> 00:10:15,640 Speaker 7: market that we saw in twenty twenty three. 207 00:10:15,679 --> 00:10:16,760 Speaker 1: Who are your customers? 208 00:10:17,640 --> 00:10:21,560 Speaker 7: So we sell to the breadth of the electronics hardware 209 00:10:21,600 --> 00:10:24,880 Speaker 7: supply chain. So we are selling the materials used to 210 00:10:24,880 --> 00:10:26,640 Speaker 7: make printed circuit boards, as I said before, So that's 211 00:10:26,679 --> 00:10:30,040 Speaker 7: printed circuit board fabricators. We are selling the materials that 212 00:10:30,080 --> 00:10:33,080 Speaker 7: are used to make semiconductors, so that's semiconductor fabricators, and 213 00:10:33,080 --> 00:10:34,480 Speaker 7: then we're selling materials that are used. 214 00:10:34,360 --> 00:10:35,120 Speaker 6: To put them together. 215 00:10:35,240 --> 00:10:39,120 Speaker 7: Think about assemblers. Increasingly, though, we have a seat at 216 00:10:39,120 --> 00:10:42,920 Speaker 7: the table with OEMs and OSATs. So OSATs are the 217 00:10:42,960 --> 00:10:46,920 Speaker 7: packagers and the test shops. Companies like Nvidia and amcorn 218 00:10:46,960 --> 00:10:50,400 Speaker 7: AMD who were not actually making any of the hardware. 219 00:10:50,440 --> 00:10:55,400 Speaker 7: They're designing it. And as they have more innovation requirements 220 00:10:55,760 --> 00:11:00,559 Speaker 7: to get more computing power in smaller spaces, they're asking 221 00:11:00,600 --> 00:11:04,680 Speaker 7: more from material suppliers, so they're sharing their technology roadmaps, 222 00:11:04,880 --> 00:11:07,920 Speaker 7: which we then go into the lab and innovate to solve. 223 00:11:08,280 --> 00:11:10,920 Speaker 7: So it's customized solutions for these supply chains. They're not 224 00:11:10,960 --> 00:11:14,839 Speaker 7: direct customers, they're specifiers and they're driving business our way. 225 00:11:15,080 --> 00:11:17,080 Speaker 7: So we're the only company in our industry with is 226 00:11:17,160 --> 00:11:19,080 Speaker 7: breadth of capabilities. 227 00:11:19,800 --> 00:11:22,920 Speaker 3: So I'm looking at your company. ESI is the ticker, folks. 228 00:11:23,280 --> 00:11:25,800 Speaker 3: It's got a market cap of six point five billion dollars. 229 00:11:25,800 --> 00:11:28,800 Speaker 3: Stocks up sixteen percent year to date, up forty percent 230 00:11:28,840 --> 00:11:32,240 Speaker 3: over the trailing twelve months. Pe multiple looking forward about 231 00:11:32,240 --> 00:11:35,720 Speaker 3: the eighteen nineteen times I look at your business. Forty 232 00:11:35,760 --> 00:11:39,959 Speaker 3: percent of your business is the industrial and specialty chemicals business. 233 00:11:41,280 --> 00:11:43,320 Speaker 3: Thoughts of spin that out and just be a focus 234 00:11:43,400 --> 00:11:45,640 Speaker 3: on pure play on the electronics side. 235 00:11:45,840 --> 00:11:47,960 Speaker 7: So what we do in that business is very similar 236 00:11:47,960 --> 00:11:50,160 Speaker 7: to what we do in electronics, just with different customers. 237 00:11:50,440 --> 00:11:54,280 Speaker 7: So our customers in this case automotive companies come to 238 00:11:54,360 --> 00:11:57,920 Speaker 7: us to help solve problems around plating on plastic. So 239 00:11:57,960 --> 00:12:00,480 Speaker 7: the hood ornament on your car looks like metal. It's 240 00:12:00,480 --> 00:12:03,280 Speaker 7: a piece of plastic with a thin coating of chrome 241 00:12:03,400 --> 00:12:06,160 Speaker 7: or nickel. That's our process. Now they might want that 242 00:12:06,280 --> 00:12:08,400 Speaker 7: nickel to be matt they might want that nickel to 243 00:12:08,400 --> 00:12:11,240 Speaker 7: be shiny, they might want that nickel to remove certain materials. 244 00:12:11,480 --> 00:12:13,640 Speaker 7: We work in our labs to solve those problems for 245 00:12:13,679 --> 00:12:16,000 Speaker 7: our customers as well. So this is a great business 246 00:12:16,000 --> 00:12:20,280 Speaker 7: with great customer intimacy, interesting growth drivers, and generates a 247 00:12:20,320 --> 00:12:23,680 Speaker 7: lot of cash. They fit, they fit. 248 00:12:24,240 --> 00:12:27,600 Speaker 1: This might be a really silly question, who are your competitors? 249 00:12:28,600 --> 00:12:32,640 Speaker 7: So we compete with different companies in different. 250 00:12:32,360 --> 00:12:33,560 Speaker 6: Pockets of our business. 251 00:12:33,800 --> 00:12:35,720 Speaker 7: So I said before that we're the only company in 252 00:12:35,760 --> 00:12:38,360 Speaker 7: our market with his breadth of solutions, and that's a 253 00:12:38,480 --> 00:12:41,960 Speaker 7: very important point of differentiation. Some companies are able to 254 00:12:42,160 --> 00:12:45,680 Speaker 7: provide similar solutions to make a printed circuit board, others 255 00:12:45,920 --> 00:12:49,880 Speaker 7: can provide similar solutions to put chips onto boards, but 256 00:12:49,960 --> 00:12:52,440 Speaker 7: no one can speak to the breadth of what we do. 257 00:12:53,760 --> 00:12:58,800 Speaker 7: And increasingly, the way these materials interact is important to performance, 258 00:12:59,440 --> 00:13:02,120 Speaker 7: and so that gives us a real leg up against 259 00:13:02,120 --> 00:13:04,240 Speaker 7: our competitors in our circuit board business. We compete with 260 00:13:04,280 --> 00:13:07,599 Speaker 7: a company called at Tech that's part of MKS Instruments. 261 00:13:07,600 --> 00:13:10,640 Speaker 7: We compete with DuPont in certain areas. We compete with 262 00:13:11,040 --> 00:13:14,280 Speaker 7: really strong technical companies in Japan, but no one competes 263 00:13:14,280 --> 00:13:16,720 Speaker 7: with the breadth of what we do, and that is 264 00:13:16,760 --> 00:13:19,600 Speaker 7: giving us a real advantage in today's market. 265 00:13:19,880 --> 00:13:23,040 Speaker 3: A lot of folks feel like AI has been hyped, 266 00:13:23,800 --> 00:13:27,920 Speaker 3: that the demand is so much new incremental demand for spending, 267 00:13:27,960 --> 00:13:30,200 Speaker 3: it's just maybe taken from other buckets it or something. 268 00:13:30,400 --> 00:13:34,079 Speaker 3: How do you think about the ultimate demand for AI 269 00:13:34,240 --> 00:13:36,079 Speaker 3: going forward and what does it mean for your business? 270 00:13:36,160 --> 00:13:40,120 Speaker 7: Yeah, so AI is a huge demand driver for the 271 00:13:40,320 --> 00:13:44,680 Speaker 7: long term in the electronics market, and that may have 272 00:13:44,760 --> 00:13:48,599 Speaker 7: fits and starts, but the history of electronics hardware is 273 00:13:48,679 --> 00:13:51,360 Speaker 7: there's always a next thing. We went from desktops to 274 00:13:51,440 --> 00:13:54,440 Speaker 7: laptops to mobile phones to smartphones, and when you do 275 00:13:54,520 --> 00:13:57,960 Speaker 7: those transitions, you don't stop using the legacy tech. It's 276 00:13:58,000 --> 00:14:01,959 Speaker 7: all additive. What AI is is is electronics hardware moving 277 00:14:01,960 --> 00:14:04,319 Speaker 7: from being a support tool to being a decision maker. 278 00:14:04,760 --> 00:14:09,440 Speaker 7: And the addressable market for that is gigantic because eventually 279 00:14:09,480 --> 00:14:13,360 Speaker 7: we're going to replace things like forklift operators with boxes 280 00:14:13,920 --> 00:14:16,760 Speaker 7: and smartphones, which were the last big thing. We're sort 281 00:14:16,800 --> 00:14:20,320 Speaker 7: of capacitated by the human population. People don't need two phones. 282 00:14:20,760 --> 00:14:25,200 Speaker 7: Industrial automation doesn't have that. That's ceiling and we're still 283 00:14:25,240 --> 00:14:26,680 Speaker 7: going to have our smartphones and they're going to be 284 00:14:26,720 --> 00:14:29,200 Speaker 7: AI enabled, but then we're going to have industrial automation. 285 00:14:29,280 --> 00:14:32,800 Speaker 7: It's all additive and so AI over the long term. 286 00:14:33,040 --> 00:14:35,760 Speaker 7: I don't believe it's being hyped in the short term perhaps, 287 00:14:36,000 --> 00:14:37,560 Speaker 7: but when you look at the price point for some 288 00:14:37,600 --> 00:14:40,760 Speaker 7: of these GPUs, clearly there's a huge amount of demand 289 00:14:40,760 --> 00:14:42,560 Speaker 7: that's outs driven supply that This is. 290 00:14:42,560 --> 00:14:46,000 Speaker 1: My favorite question, do you know yet how cyclical the 291 00:14:46,040 --> 00:14:47,440 Speaker 1: AI business part is going to be? 292 00:14:48,120 --> 00:14:52,600 Speaker 7: So in the semiconductor market, there are two drivers of cyclicality. 293 00:14:52,640 --> 00:14:55,960 Speaker 7: There's price and volume. Right, our business is driven by volume. 294 00:14:55,960 --> 00:14:58,160 Speaker 7: It doesn't matter the price point of the semiconductor, just 295 00:14:58,160 --> 00:14:59,960 Speaker 7: the number of chips that are being made. And price 296 00:15:00,240 --> 00:15:02,880 Speaker 7: is the more volatile of those two variables. Because the 297 00:15:02,960 --> 00:15:05,000 Speaker 7: new fab opens, a bunch of new supply comes online, 298 00:15:05,040 --> 00:15:09,480 Speaker 7: the prices comes down, so there is cyclicality. There's less 299 00:15:09,480 --> 00:15:14,160 Speaker 7: cyclicality in our business. There's cyclicality in electronics broadly defined, 300 00:15:14,200 --> 00:15:18,360 Speaker 7: but it's cyclicality around an upward trend, right, So there's 301 00:15:18,400 --> 00:15:20,280 Speaker 7: going to be air pockets and demand. We've seen it 302 00:15:20,280 --> 00:15:22,400 Speaker 7: in the mobile phone market for example. Last year was 303 00:15:22,440 --> 00:15:25,880 Speaker 7: a very difficult year, but it's coming back and the 304 00:15:26,040 --> 00:15:29,960 Speaker 7: peak is in front of us, not behind us. For electronics, 305 00:15:30,280 --> 00:15:32,960 Speaker 7: and so certainly there'll be cyclicality. I would say more 306 00:15:32,960 --> 00:15:35,800 Speaker 7: in price than volume. AI and its applications are going 307 00:15:35,840 --> 00:15:38,960 Speaker 7: to be a big volume driver for many years from here. Again, 308 00:15:39,040 --> 00:15:42,960 Speaker 7: look at the price points of these chips. But it's 309 00:15:43,040 --> 00:15:46,520 Speaker 7: cyclicality around a very positive trend. God about forty five 310 00:15:46,520 --> 00:15:48,520 Speaker 7: seconds left. M and A to what extent is that 311 00:15:48,600 --> 00:15:51,720 Speaker 7: a part of your growth strategy. We're very excited to 312 00:15:51,800 --> 00:15:54,600 Speaker 7: deploy the strong cash flows this business generates. We have 313 00:15:54,880 --> 00:15:58,240 Speaker 7: modest capital requirements, so we convert EBITDA our earnings into 314 00:15:58,240 --> 00:16:00,920 Speaker 7: cash very efficiently. We're very idded to toplay those cash 315 00:16:00,920 --> 00:16:05,160 Speaker 7: flows behind the business to add capabilities to support our 316 00:16:05,200 --> 00:16:10,400 Speaker 7: customers and drive growth. There is an opportunity for incremental 317 00:16:10,520 --> 00:16:16,240 Speaker 7: M and A within our businesses very attractive returns and 318 00:16:17,240 --> 00:16:20,880 Speaker 7: to support what will be pretty compelling organic growth in 319 00:16:20,920 --> 00:16:21,600 Speaker 7: the near term. 320 00:16:21,760 --> 00:16:24,160 Speaker 1: All right, Ben, we appreciate it. Thank you very much. Ben, 321 00:16:24,360 --> 00:16:28,760 Speaker 1: Ben Clickich, CEO of Element Solutions, working to be an 322 00:16:28,800 --> 00:16:34,680 Speaker 1: ai so electronics provider solution company, nailed it. Yeah, okay, 323 00:16:34,760 --> 00:16:36,400 Speaker 1: I'm going to work on that. I'm going to definitely 324 00:16:36,400 --> 00:16:38,200 Speaker 1: work on that one. 325 00:16:38,560 --> 00:16:42,440 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 326 00:16:42,520 --> 00:16:45,240 Speaker 2: weekdays at ten am Eastern on Apple card Playing and 327 00:16:45,360 --> 00:16:48,240 Speaker 2: Broun Auto with the Bloomberg Business app. Listen on demand 328 00:16:48,280 --> 00:16:53,120 Speaker 2: wherever you get your podcasts, or watch us live on YouTube. 329 00:16:53,560 --> 00:16:56,240 Speaker 1: Okay, let's get to the big news of the Supreme 330 00:16:56,280 --> 00:16:57,840 Speaker 1: Court over the last few days. It wasn't just the 331 00:16:57,880 --> 00:17:01,200 Speaker 1: Trump Community trial. It was also the Supreme Court changing 332 00:17:01,240 --> 00:17:05,000 Speaker 1: the Chevron Doctor and the Chevron deference, which basically means 333 00:17:05,000 --> 00:17:10,560 Speaker 1: that state that federal agencies don't necessarily interpret laws that 334 00:17:10,600 --> 00:17:12,480 Speaker 1: goes to the courts now and that could have a 335 00:17:12,480 --> 00:17:16,480 Speaker 1: big ramification for lots of different agencies, and in particular 336 00:17:16,520 --> 00:17:19,160 Speaker 1: when it comes to ESG in climate. So Andrew John Stevenson, 337 00:17:19,240 --> 00:17:22,600 Speaker 1: BI Bloomberg Intelligence Senior ESG Climate analyst joins us now 338 00:17:22,600 --> 00:17:26,920 Speaker 1: from DC walk us through how maybe the Chevron deference 339 00:17:27,000 --> 00:17:30,359 Speaker 1: has helped the EPA or has led the EPA to 340 00:17:30,400 --> 00:17:32,600 Speaker 1: make certain decisions that now may be in doubt. 341 00:17:33,480 --> 00:17:33,800 Speaker 6: Sure. 342 00:17:33,840 --> 00:17:35,640 Speaker 4: So we had the If you think about the Clean 343 00:17:35,640 --> 00:17:38,320 Speaker 4: Air Act, that's the biggest thing the ep has ever done. 344 00:17:38,720 --> 00:17:42,560 Speaker 4: It started in nineteen seventy with one document that said, basically, 345 00:17:42,600 --> 00:17:44,600 Speaker 4: go to it. We need to reduce the amount of 346 00:17:44,640 --> 00:17:47,359 Speaker 4: air pollution in the air. We need a lot of 347 00:17:47,359 --> 00:17:49,760 Speaker 4: different levers to pull to make that happen. We're kind 348 00:17:49,760 --> 00:17:52,879 Speaker 4: of deferring to experts to do that. Go at it. 349 00:17:53,400 --> 00:17:55,719 Speaker 4: And they did it for about twenty years. And then 350 00:17:55,720 --> 00:17:58,600 Speaker 4: they had another revision the Clean Air Act too, and 351 00:17:58,640 --> 00:18:01,280 Speaker 4: that's the one that we're enjoying today with when they 352 00:18:01,800 --> 00:18:04,159 Speaker 4: basically said, you did a decent job, let's keep going, 353 00:18:04,440 --> 00:18:07,040 Speaker 4: let's keep driving down the air pollution. And you know, 354 00:18:07,080 --> 00:18:09,200 Speaker 4: here we are today with the cleanest air we've seen 355 00:18:09,240 --> 00:18:12,800 Speaker 4: in you know, since the early nineteen hundreds basically, So. 356 00:18:12,720 --> 00:18:14,159 Speaker 6: It's been very, very successful. 357 00:18:14,359 --> 00:18:16,680 Speaker 3: Yeah I'm not that old, but I remember first going 358 00:18:16,720 --> 00:18:18,920 Speaker 3: the Los Angeles earlier in my career and you could 359 00:18:18,960 --> 00:18:22,400 Speaker 3: see the smog. Literally it was brown, it was orange, 360 00:18:22,720 --> 00:18:25,440 Speaker 3: kind of funky. Now, you rarely have ever have any 361 00:18:25,480 --> 00:18:27,399 Speaker 3: problems out there, So I kind of have been a 362 00:18:27,400 --> 00:18:30,760 Speaker 3: fan of the EPA all right. Given to Chevron ruling 363 00:18:30,760 --> 00:18:34,679 Speaker 3: what does it mean for climate in your part of 364 00:18:34,720 --> 00:18:37,000 Speaker 3: the world. What's the mean for the energy industry? 365 00:18:37,920 --> 00:18:38,160 Speaker 6: Sure? 366 00:18:38,200 --> 00:18:41,000 Speaker 4: So, I mean it's troubling on a couple fronts. The 367 00:18:41,040 --> 00:18:44,119 Speaker 4: first is with respect to the oil and gas industry. 368 00:18:44,480 --> 00:18:47,359 Speaker 4: They have the big oil companies have done it basically 369 00:18:47,400 --> 00:18:50,240 Speaker 4: a fantastic job of driving down a big chunk of 370 00:18:50,320 --> 00:18:54,000 Speaker 4: their pollution from methane. So methane is really the thing 371 00:18:54,080 --> 00:18:56,159 Speaker 4: that you really want to address when it comes to 372 00:18:56,200 --> 00:18:58,000 Speaker 4: the oil and gas industry, which is just sort of 373 00:18:58,080 --> 00:19:02,000 Speaker 4: leaking natural gas into the atmosphere. And the bigger companies 374 00:19:02,040 --> 00:19:04,560 Speaker 4: have done a fantastic job, but the smaller companies, basically 375 00:19:04,560 --> 00:19:07,119 Speaker 4: are the private companies haven't moved on it. And so 376 00:19:07,200 --> 00:19:09,920 Speaker 4: the leadership we've seen from Exon Mobile and others has 377 00:19:10,000 --> 00:19:13,520 Speaker 4: been really, you know, got transformative in terms of what's 378 00:19:13,520 --> 00:19:17,240 Speaker 4: happening for the bigger companies. But unless the EPA does 379 00:19:17,359 --> 00:19:20,840 Speaker 4: work to kind of push along the rest, and we're 380 00:19:20,840 --> 00:19:23,359 Speaker 4: talking about still half of the production comes from small 381 00:19:23,440 --> 00:19:26,800 Speaker 4: companies that are private, we're not going to get anywhere 382 00:19:26,800 --> 00:19:28,840 Speaker 4: near where we need to go on from an emission 383 00:19:28,880 --> 00:19:30,960 Speaker 4: standpoint from the oil and gas industry. So that's sort 384 00:19:31,000 --> 00:19:33,639 Speaker 4: of one the second is really with respect to the 385 00:19:34,640 --> 00:19:37,600 Speaker 4: power sector. So the power sector, we need more power. 386 00:19:37,800 --> 00:19:41,720 Speaker 4: We've basically gone from having a coma power growth over 387 00:19:41,720 --> 00:19:45,280 Speaker 4: the last decade and now because of AI and EVS, 388 00:19:45,359 --> 00:19:47,280 Speaker 4: we have power demand somewhere around two and a half 389 00:19:47,320 --> 00:19:50,480 Speaker 4: percent a year and that has to be filled with something. 390 00:19:51,240 --> 00:19:52,960 Speaker 4: And it looks like gas is going to be a 391 00:19:52,960 --> 00:19:55,800 Speaker 4: candidate in the next several years because there's just so 392 00:19:55,880 --> 00:19:59,040 Speaker 4: much demand that needs to come online. And there was 393 00:19:59,080 --> 00:20:01,760 Speaker 4: a ruling at least from the APA that the gas 394 00:20:02,080 --> 00:20:03,680 Speaker 4: companies that they were going to build a new power 395 00:20:03,680 --> 00:20:05,560 Speaker 4: plant would have to capture that gas, and that doesn't 396 00:20:05,560 --> 00:20:08,200 Speaker 4: look like it's going to happen. So because of the ruling, 397 00:20:08,760 --> 00:20:12,800 Speaker 4: so we have growth, which is obviously challenging from an 398 00:20:12,880 --> 00:20:16,840 Speaker 4: environmental perspective, but it's really going to affect our overall 399 00:20:16,840 --> 00:20:19,639 Speaker 4: emission standpoint as a country going forward. 400 00:20:20,119 --> 00:20:22,240 Speaker 1: I mean, the power coma that was actually a great 401 00:20:22,280 --> 00:20:25,040 Speaker 1: I'm going to steal that. I hope that's okay. So 402 00:20:25,480 --> 00:20:29,120 Speaker 1: you were ESG climate analyst, So that's environmental, social and governance. 403 00:20:29,160 --> 00:20:31,920 Speaker 1: Does the social and governance part of your job get 404 00:20:31,960 --> 00:20:34,000 Speaker 1: affected by the Supreme Court decision? 405 00:20:35,640 --> 00:20:35,880 Speaker 6: Well? 406 00:20:35,920 --> 00:20:38,919 Speaker 4: So, people, some of the people think of the environmental 407 00:20:38,960 --> 00:20:41,520 Speaker 4: it does conclude chemicals and things like that. Obviously that's 408 00:20:41,560 --> 00:20:43,960 Speaker 4: going to be a bigger problem the social If you 409 00:20:44,000 --> 00:20:48,200 Speaker 4: think about health, that's really what's going to happen with 410 00:20:48,280 --> 00:20:49,560 Speaker 4: respect to this ruling. 411 00:20:49,600 --> 00:20:51,000 Speaker 6: So we are going to have poor health. 412 00:20:51,040 --> 00:20:55,080 Speaker 4: I mean, the ability for judges to make decisions that 413 00:20:55,760 --> 00:20:58,679 Speaker 4: are very complicated. I mean you're talking about I mean 414 00:20:58,680 --> 00:21:01,000 Speaker 4: I just mentioned the Clean Air Act. That's a fifty 415 00:21:01,080 --> 00:21:04,639 Speaker 4: year project with thousands of people working on it to 416 00:21:04,680 --> 00:21:06,399 Speaker 4: have an opinion on how to get from A to B. 417 00:21:06,560 --> 00:21:10,000 Speaker 4: And we are now expected to have judges have an 418 00:21:10,040 --> 00:21:15,199 Speaker 4: opinion that is just wildly professional in a number of areas, 419 00:21:15,200 --> 00:21:18,360 Speaker 4: and that includes things like PF the kind of forever chemicals. 420 00:21:18,400 --> 00:21:21,879 Speaker 4: So that's going to affect health and food safety. So 421 00:21:21,880 --> 00:21:23,439 Speaker 4: there's a lot of things on that side that are 422 00:21:23,480 --> 00:21:25,240 Speaker 4: going to be affected as well. 423 00:21:25,400 --> 00:21:29,360 Speaker 3: So do we have any experience on kind of how 424 00:21:29,400 --> 00:21:31,440 Speaker 3: this works outside of the regulatory agencies? 425 00:21:31,480 --> 00:21:32,280 Speaker 6: Are the judges? 426 00:21:32,320 --> 00:21:35,760 Speaker 3: Are they making reasonable rulings when applicable? 427 00:21:36,600 --> 00:21:39,520 Speaker 4: So yeah, I mean the pushback was that these are 428 00:21:39,920 --> 00:21:44,000 Speaker 4: the judges and the agencies, there's no interaction, and there's 429 00:21:44,119 --> 00:21:46,240 Speaker 4: quite a bit that goes on and I think the 430 00:21:46,240 --> 00:21:48,520 Speaker 4: agency will only win about seventy percent of the time. 431 00:21:48,600 --> 00:21:52,400 Speaker 4: So the judges actually have had input into this, but 432 00:21:52,480 --> 00:21:54,800 Speaker 4: you're really relying and it can swing both ways. Which 433 00:21:54,840 --> 00:21:58,199 Speaker 4: is the really kind of conterintuitive part is that you 434 00:21:58,240 --> 00:21:59,720 Speaker 4: could have a judge that the sides it needs to 435 00:21:59,760 --> 00:22:02,679 Speaker 4: be more or stringent, right, so it can go in 436 00:22:02,720 --> 00:22:06,520 Speaker 4: different directions. And I mean it's ultimately been deferred to 437 00:22:06,560 --> 00:22:08,760 Speaker 4: the Chevron defense and they say, okay, we'll let the 438 00:22:08,760 --> 00:22:11,520 Speaker 4: agencies deal with it. And now we have that kind 439 00:22:11,560 --> 00:22:14,760 Speaker 4: of open air, open terrain. So it's very difficult to 440 00:22:14,800 --> 00:22:18,439 Speaker 4: see how things move as smoothly and in such an 441 00:22:18,560 --> 00:22:20,240 Speaker 4: organized fashion as we've had previously. 442 00:22:20,480 --> 00:22:22,240 Speaker 1: Yeah, because the other side will say, we'll judges do 443 00:22:22,280 --> 00:22:24,600 Speaker 1: this all the time, like they're ruling on different cases 444 00:22:24,600 --> 00:22:26,360 Speaker 1: that they don't have an expertise about all the time. 445 00:22:26,359 --> 00:22:29,960 Speaker 1: What's the difference for the companies that you cover? Which 446 00:22:29,960 --> 00:22:31,400 Speaker 1: companies will be the most impacted? 447 00:22:32,480 --> 00:22:34,680 Speaker 4: So the companies that are really if you think about 448 00:22:34,680 --> 00:22:36,840 Speaker 4: what's going on with the growth of you let's just 449 00:22:36,880 --> 00:22:38,760 Speaker 4: talk about power for a second. The companies that are 450 00:22:38,800 --> 00:22:42,320 Speaker 4: really taking up a challenge with respect to you know, 451 00:22:42,440 --> 00:22:45,520 Speaker 4: power demand going up and dealing with it. Really on 452 00:22:45,560 --> 00:22:48,119 Speaker 4: a kind of the clean energy front, there's two benefits. 453 00:22:48,160 --> 00:22:51,680 Speaker 4: You get paid for capex right when you're a utility company. 454 00:22:51,720 --> 00:22:54,560 Speaker 4: So the more of that capex that goes into renewables 455 00:22:54,560 --> 00:22:57,240 Speaker 4: and grid and things like that, you get basically one 456 00:22:57,320 --> 00:22:59,919 Speaker 4: hundred percent of that money is you can you know, 457 00:23:00,040 --> 00:23:02,800 Speaker 4: earn a return on it, whereas if you build a 458 00:23:02,800 --> 00:23:05,440 Speaker 4: gas plant you only get about half that because half 459 00:23:05,440 --> 00:23:07,280 Speaker 4: of the cost of the plant is in fuel and 460 00:23:07,320 --> 00:23:09,399 Speaker 4: you don't get paid for that as a utility. So 461 00:23:09,480 --> 00:23:12,199 Speaker 4: the companies like Constellation Energy are still expected to do 462 00:23:12,320 --> 00:23:15,480 Speaker 4: very well next Era Energy because of the IRA are 463 00:23:15,520 --> 00:23:19,200 Speaker 4: getting very strong incentives to continue to produce as much 464 00:23:19,280 --> 00:23:21,719 Speaker 4: clean energy as they can, and they're going to if 465 00:23:21,760 --> 00:23:24,199 Speaker 4: you look at their stock prices, they've reflected that in 466 00:23:24,200 --> 00:23:28,000 Speaker 4: the last little bit. But from the other side of 467 00:23:28,000 --> 00:23:29,879 Speaker 4: the equation, which is the oil and gas industry, the 468 00:23:30,000 --> 00:23:32,440 Speaker 4: leaders are already the leaders, you know, and they've performed 469 00:23:32,760 --> 00:23:35,200 Speaker 4: exceptionally well. If you look at the group that is 470 00:23:35,240 --> 00:23:38,199 Speaker 4: the lowest methane producers have done very very well against 471 00:23:38,200 --> 00:23:38,960 Speaker 4: the other guys. 472 00:23:38,960 --> 00:23:40,840 Speaker 1: All Right, we got to leave it there. Really appreciated 473 00:23:40,880 --> 00:23:45,760 Speaker 1: Andrew John Stevenson, BI Senior ESG Climate analyst joining us. 474 00:23:51,160 --> 00:23:55,040 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 475 00:23:55,119 --> 00:23:58,160 Speaker 2: weekdays at ten am Eastern on Apple card Play and 476 00:23:58,160 --> 00:24:01,440 Speaker 2: Android Outo with the Bloomberg Mistiness. You can also listen 477 00:24:01,560 --> 00:24:04,680 Speaker 2: live on Amazon Alexa from our flagship New York station 478 00:24:05,000 --> 00:24:07,800 Speaker 2: Just Say Alexa playing Bloomberg eleven thirty. 479 00:24:08,440 --> 00:24:10,879 Speaker 3: We've got the Olympics coming up this summer in Paris. 480 00:24:10,880 --> 00:24:12,119 Speaker 1: How cool was that going to be? 481 00:24:12,720 --> 00:24:14,440 Speaker 3: But good luck trying to get a hotel room there 482 00:24:14,640 --> 00:24:17,240 Speaker 3: or trying to get accommodations anywhere. You know, who would 483 00:24:17,240 --> 00:24:20,160 Speaker 3: know about this stuff? Airbnb Dave Stevenson joins us. He's 484 00:24:20,200 --> 00:24:23,679 Speaker 3: the chief business officer for Airbnb. Dave talked to us 485 00:24:23,720 --> 00:24:27,119 Speaker 3: about your business in Paris for this summer. What are 486 00:24:27,119 --> 00:24:27,600 Speaker 3: you guys seeing? 487 00:24:28,240 --> 00:24:31,160 Speaker 8: Yeah, Hi, Paul Alex, thanks for having me super excited 488 00:24:31,160 --> 00:24:33,760 Speaker 8: about the Olympics this summer. And you're seeing hundreds of 489 00:24:33,760 --> 00:24:36,560 Speaker 8: thousands of people from around the world come to Paris 490 00:24:36,600 --> 00:24:41,000 Speaker 8: to stay in airbnbs. They are super excited. It's going 491 00:24:41,040 --> 00:24:42,320 Speaker 8: to be an amazing event. 492 00:24:43,400 --> 00:24:44,879 Speaker 1: Are there any places to stay? 493 00:24:45,040 --> 00:24:45,119 Speaker 2: Like? 494 00:24:45,920 --> 00:24:48,120 Speaker 1: How much you guys making off of people going to Paris? 495 00:24:49,640 --> 00:24:52,080 Speaker 8: You know, one of the great things about having Airbnbs 496 00:24:52,119 --> 00:24:54,679 Speaker 8: in Paris is that the actual the volume of airbnbs 497 00:24:54,720 --> 00:24:57,720 Speaker 8: have gone up pretty dramatically. We have forty percent more 498 00:24:57,760 --> 00:25:01,280 Speaker 8: active listings than we had a year ago. And by 499 00:25:01,320 --> 00:25:04,000 Speaker 8: having those extra listings, we're actually able to keep prices 500 00:25:04,240 --> 00:25:07,760 Speaker 8: reasonable because we're able to add so much capacity to 501 00:25:08,800 --> 00:25:11,680 Speaker 8: the stays there. So there are still places available. You know, 502 00:25:11,720 --> 00:25:14,760 Speaker 8: we're only twenty four days out, but you know, you 503 00:25:14,920 --> 00:25:18,280 Speaker 8: keep booking. There are airbnbs ready for guests to come 504 00:25:18,280 --> 00:25:19,000 Speaker 8: from around the world. 505 00:25:19,119 --> 00:25:21,679 Speaker 1: Yeah, because you know why everyone's leaving Paris. Yeah, all 506 00:25:21,720 --> 00:25:23,600 Speaker 1: the reasons to like, get me out of here, and 507 00:25:23,600 --> 00:25:25,679 Speaker 1: they're going to this out of France anyway. Sorry, go ahead, 508 00:25:25,720 --> 00:25:27,320 Speaker 1: So David, well, it's not bad. 509 00:25:27,359 --> 00:25:30,119 Speaker 8: They're actually able to earn you know, two thousand euros 510 00:25:30,160 --> 00:25:32,400 Speaker 8: on average for a host in Paris, and so yeah, 511 00:25:32,440 --> 00:25:35,240 Speaker 8: many people do leave and share their homes and welcome 512 00:25:35,280 --> 00:25:37,359 Speaker 8: people from other countries to come to the vilops. 513 00:25:37,480 --> 00:25:40,120 Speaker 3: Talk to us about where where you're seeing travelers come 514 00:25:40,160 --> 00:25:41,240 Speaker 3: from to Paris. 515 00:25:41,600 --> 00:25:42,359 Speaker 6: Yeah, it's interesting. 516 00:25:42,440 --> 00:25:45,639 Speaker 8: Some of our top countries are the US, UK and 517 00:25:45,720 --> 00:25:48,720 Speaker 8: actually people from other areas of France coming into Paris 518 00:25:48,760 --> 00:25:51,960 Speaker 8: for the Olympics. We're also seeing some interesting trends where 519 00:25:51,960 --> 00:25:54,320 Speaker 8: people are staying. You know, the Olympics are actually not 520 00:25:54,400 --> 00:25:56,479 Speaker 8: only in Paris, They're kind of spread around the country, 521 00:25:56,520 --> 00:25:59,400 Speaker 8: and so you know, we're seeing people staying in airbnbs 522 00:25:59,480 --> 00:26:02,480 Speaker 8: in Leo where some of the basketball is being played. 523 00:26:02,720 --> 00:26:05,760 Speaker 8: You We're seeing them in Leone where some of the football, 524 00:26:05,840 --> 00:26:09,000 Speaker 8: you know, soccer matches are being played. You're seeing Spaniards 525 00:26:09,000 --> 00:26:12,639 Speaker 8: and Brazilians stan Bordeaux because their national teams will be 526 00:26:12,640 --> 00:26:15,720 Speaker 8: playing soccer out there. So we're not just seeing people 527 00:26:15,760 --> 00:26:18,880 Speaker 8: come in Paris, They're staying in airbnbs all around the country. 528 00:26:19,080 --> 00:26:21,960 Speaker 1: That's interesting. I did not know that you also transition 529 00:26:22,080 --> 00:26:26,480 Speaker 1: recently from CFO to CBO. Is that so chief financial 530 00:26:26,480 --> 00:26:29,080 Speaker 1: officer to chief business officer? How is that? 531 00:26:29,160 --> 00:26:29,280 Speaker 3: Like? 532 00:26:29,359 --> 00:26:31,560 Speaker 1: What how does your job change with that title? 533 00:26:32,160 --> 00:26:32,400 Speaker 6: Yeah? 534 00:26:32,520 --> 00:26:34,359 Speaker 8: No, I'm the chief business Officer. I'm also the head 535 00:26:34,400 --> 00:26:36,879 Speaker 8: of Employee Experience, so the head of HR, which have 536 00:26:37,000 --> 00:26:39,800 Speaker 8: been doing now for three years. But the chief business Officer, 537 00:26:40,040 --> 00:26:42,680 Speaker 8: you know, I'm focused on growth of the company and 538 00:26:42,800 --> 00:26:47,000 Speaker 8: expanding into new and new business areas. So we're expanding 539 00:26:47,000 --> 00:26:49,720 Speaker 8: beyond the kind of core stays business here at Airbnb 540 00:26:49,880 --> 00:26:52,840 Speaker 8: into things like services and experiences over time. And so 541 00:26:52,960 --> 00:26:54,840 Speaker 8: me and my team, that's what we're focused on, growing 542 00:26:54,880 --> 00:26:57,840 Speaker 8: the existing business and expanding into new ones. 543 00:26:58,359 --> 00:27:00,840 Speaker 3: So for just the busines, this is in general, how 544 00:27:00,960 --> 00:27:04,000 Speaker 3: is travel this business? As we crank up here in 545 00:27:04,040 --> 00:27:06,000 Speaker 3: the US for fourth of July, and then of course 546 00:27:06,040 --> 00:27:08,440 Speaker 3: in Europe they have their big travel during the summer, 547 00:27:08,480 --> 00:27:10,440 Speaker 3: particularly August. Give us a sense of kind of where 548 00:27:10,440 --> 00:27:12,680 Speaker 3: you're seeing the business these days. 549 00:27:13,080 --> 00:27:15,679 Speaker 8: Yeah, you know, we're seeing more people travel this summer 550 00:27:15,720 --> 00:27:18,640 Speaker 8: than they ever have before on Airbnb. Continue to see 551 00:27:18,680 --> 00:27:23,440 Speaker 8: great growth, yes, strong growth, especially from your Americans travel 552 00:27:23,520 --> 00:27:25,960 Speaker 8: to Europe. You know, we continue to have a strong dollar, 553 00:27:26,000 --> 00:27:29,119 Speaker 8: which enables strength there, and we're actually seeing you know, 554 00:27:29,240 --> 00:27:32,960 Speaker 8: nice strength and people even traveling from US into Asia. 555 00:27:33,040 --> 00:27:36,880 Speaker 1: US into Asia, okay, which is not rippin' dollar. Yeah, 556 00:27:36,920 --> 00:27:40,160 Speaker 1: you just even go anywhere pretty much. It's what about 557 00:27:40,160 --> 00:27:42,240 Speaker 1: the opposite, is anyone coming to the US. We're making 558 00:27:42,240 --> 00:27:44,160 Speaker 1: any money on Airbnb here in the US anymore? 559 00:27:44,680 --> 00:27:45,240 Speaker 6: Absolutely. 560 00:27:45,280 --> 00:27:47,840 Speaker 8: I mean that people are still traveling from overseas in 561 00:27:47,840 --> 00:27:49,760 Speaker 8: the US. You know, actually the majority of our travel 562 00:27:49,800 --> 00:27:53,280 Speaker 8: still is actually domestic travel in any given country. So 563 00:27:53,320 --> 00:27:55,280 Speaker 8: we're kind of talking a lot about people moving around 564 00:27:55,280 --> 00:27:57,320 Speaker 8: the world, but a lot of the travel is just 565 00:27:57,359 --> 00:27:59,119 Speaker 8: people going. You know, in the US, it's a lot 566 00:27:59,119 --> 00:28:03,199 Speaker 8: of beach destination. You're seeing great traveled down to Florida, 567 00:28:03,640 --> 00:28:06,879 Speaker 8: up onto the East Coast, you know, onto the Jersey 568 00:28:06,960 --> 00:28:09,160 Speaker 8: Shore and other places. So you know, people are still 569 00:28:09,160 --> 00:28:12,439 Speaker 8: tommling out to the beaches to visit with family and 570 00:28:12,480 --> 00:28:13,720 Speaker 8: enjoy the fourth of July. 571 00:28:14,200 --> 00:28:19,199 Speaker 3: Dave, what's a typical or prototypical Airbnb customer look like? 572 00:28:19,560 --> 00:28:23,159 Speaker 8: You know, there we have customers of all kinds. You know, 573 00:28:23,280 --> 00:28:27,560 Speaker 8: it's everything from young gen Z, millennials to families. You know, 574 00:28:27,960 --> 00:28:30,719 Speaker 8: a large number of our people in travel in Airbnb, 575 00:28:30,840 --> 00:28:34,240 Speaker 8: our group travel multiple people travel together because you get 576 00:28:34,280 --> 00:28:38,040 Speaker 8: more space, you might get multiple bedrooms, you have multiple amenities, 577 00:28:38,040 --> 00:28:39,480 Speaker 8: often with a kitchen, you know, maybe. 578 00:28:39,320 --> 00:28:40,160 Speaker 6: A washer and dryer. 579 00:28:40,400 --> 00:28:43,000 Speaker 8: It's one of the things reasons why we've recently launched 580 00:28:43,000 --> 00:28:46,360 Speaker 8: some of these group travel features to enable more people 581 00:28:46,400 --> 00:28:50,600 Speaker 8: to stay together more easily. We have things like shared wishfless, 582 00:28:50,760 --> 00:28:54,200 Speaker 8: shared messaging capability, and that's helping in Paris where over 583 00:28:54,240 --> 00:28:57,240 Speaker 8: fifty percent of the people traveling to the Paris Olympics 584 00:28:57,640 --> 00:29:00,760 Speaker 8: have three or more people, and so group travel is 585 00:29:01,400 --> 00:29:03,640 Speaker 8: a key benefit of staying on Airbnb. 586 00:29:03,880 --> 00:29:06,720 Speaker 1: That's a good point. What are there trends that you're 587 00:29:07,000 --> 00:29:08,520 Speaker 1: you think you're going to be dealing with in twenty 588 00:29:08,560 --> 00:29:10,440 Speaker 1: twenty five, kind of after we get through the Olympics, 589 00:29:10,920 --> 00:29:11,400 Speaker 1: you know, I. 590 00:29:11,320 --> 00:29:13,800 Speaker 8: Think we're going to continue to see strength and travel. 591 00:29:13,840 --> 00:29:15,760 Speaker 8: I think one of the things we've seen since the 592 00:29:15,760 --> 00:29:19,520 Speaker 8: pandemic is that people realize how much they miss being 593 00:29:19,520 --> 00:29:21,960 Speaker 8: able to kind of travel, be with family and friends, 594 00:29:22,160 --> 00:29:25,360 Speaker 8: that experiences are maybe more important than things. I think 595 00:29:25,400 --> 00:29:28,880 Speaker 8: that trend will continue, and we're going to see people 596 00:29:28,960 --> 00:29:33,200 Speaker 8: wanting to spend time with family and friends doing things together. 597 00:29:34,040 --> 00:29:35,240 Speaker 6: So I think that's the big. 598 00:29:35,040 --> 00:29:38,080 Speaker 8: Trend that we'll see in twenty twenty five, continued experiences. 599 00:29:38,680 --> 00:29:41,160 Speaker 1: All right, thank you so very much. We appreciate it. 600 00:29:41,560 --> 00:29:44,680 Speaker 1: Dave Stevenson and Chief business officer over at Airbnb. 601 00:29:45,680 --> 00:29:50,160 Speaker 2: This is the Bloomberg Intelligence Podcast, available on apples, Spotify, 602 00:29:50,400 --> 00:29:53,320 Speaker 2: and anywhere else you will get your podcasts. 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