1 00:00:02,520 --> 00:00:13,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. This is the Bloomberg 2 00:00:13,840 --> 00:00:17,920 Speaker 1: Surveillance Podcast. Catch us live weekdays at seven am Eastern 3 00:00:18,200 --> 00:00:22,000 Speaker 1: on Apple CarPlay or Android Auto with the Bloomberg Business App. 4 00:00:22,360 --> 00:00:25,680 Speaker 1: Listen on demand wherever you get your podcasts, or watch 5 00:00:25,760 --> 00:00:27,040 Speaker 1: us live on YouTube. 6 00:00:27,360 --> 00:00:32,400 Speaker 2: No one better than Anastasia Amroso, chief investment strategist at ICAP, 7 00:00:32,680 --> 00:00:37,600 Speaker 2: who was trumpeting large cap growth participate when it was 8 00:00:37,640 --> 00:00:42,360 Speaker 2: a very lonely call. Let's recapitulate right now, I'm hearing 9 00:00:42,400 --> 00:00:45,760 Speaker 2: people come over to the Amoroso side. Is it still 10 00:00:45,880 --> 00:00:48,320 Speaker 2: large cap growth in tech? Look? 11 00:00:48,360 --> 00:00:50,519 Speaker 3: I think so. I think back in March we were 12 00:00:50,520 --> 00:00:53,160 Speaker 3: talking about the sell off being temporary, and of course 13 00:00:53,240 --> 00:00:56,040 Speaker 3: you know you were now in late May and here 14 00:00:56,040 --> 00:00:58,080 Speaker 3: we are. The SAP is up, and actually we talked 15 00:00:58,080 --> 00:01:00,880 Speaker 3: about software, and software is up. AI software in particular 16 00:01:00,960 --> 00:01:03,160 Speaker 3: is up about twelve percent for the year. So yes, 17 00:01:03,240 --> 00:01:05,920 Speaker 3: I think the reasons are still plentiful to continue to 18 00:01:05,959 --> 00:01:08,280 Speaker 3: stick with stocks. And you know, Tom, one of the 19 00:01:08,319 --> 00:01:10,039 Speaker 3: things you have to do is you'll have to look 20 00:01:10,040 --> 00:01:13,400 Speaker 3: at the economy. And while the sentiment around the economy 21 00:01:13,400 --> 00:01:16,679 Speaker 3: fell apart, the hard economic data never did so. As 22 00:01:16,720 --> 00:01:19,080 Speaker 3: a result, we're still looking at two point three percent 23 00:01:19,160 --> 00:01:22,280 Speaker 3: GDP growth this quarter when everybody was worried about the 24 00:01:22,280 --> 00:01:25,160 Speaker 3: tariff impact. So that's the first thing. The second thing 25 00:01:25,240 --> 00:01:28,200 Speaker 3: is the determination you just heard from Peter Navarro to 26 00:01:28,440 --> 00:01:32,240 Speaker 3: cut those deals and continue to negotiate is absolutely there. 27 00:01:32,280 --> 00:01:34,560 Speaker 3: So as long as that's the drum beat, then I 28 00:01:34,560 --> 00:01:37,120 Speaker 3: think we have to discard any sort of data that 29 00:01:37,160 --> 00:01:39,640 Speaker 3: goes against that. And then the last thing I would say, 30 00:01:39,680 --> 00:01:43,200 Speaker 3: tom you know, tomorrow we get the core PC inflation report, 31 00:01:43,240 --> 00:01:46,560 Speaker 3: which is projected to be about two and a half percent, 32 00:01:47,040 --> 00:01:49,640 Speaker 3: and whether it's oil prices that are lower, whether it's 33 00:01:49,720 --> 00:01:52,240 Speaker 3: wages that are lower, all of that is supportive. So 34 00:01:52,680 --> 00:01:55,640 Speaker 3: I still think investors are not tapped out. It's not 35 00:01:55,880 --> 00:01:59,000 Speaker 3: max bullish by any means. So I think we add here. 36 00:01:58,920 --> 00:02:01,280 Speaker 2: I have been brought up the three point ex trillion 37 00:02:01,680 --> 00:02:02,880 Speaker 2: of cash Paul out there. 38 00:02:03,000 --> 00:02:05,280 Speaker 4: Yep, Yes, it's always been out there. I mean earlier 39 00:02:05,280 --> 00:02:09,080 Speaker 4: this year it was out of the US, out of cyclicals, 40 00:02:09,120 --> 00:02:12,120 Speaker 4: out of tech. Now it seems to be if I 41 00:02:12,120 --> 00:02:13,480 Speaker 4: look at the S and P five hundred, if I 42 00:02:13,480 --> 00:02:16,519 Speaker 4: look at nastacy, it seems to be that that trade's 43 00:02:16,560 --> 00:02:19,720 Speaker 4: getting reverse ship hereople coming investments, coming back to the US, 44 00:02:19,840 --> 00:02:22,840 Speaker 4: back into cyclicals, back into tech. Was it just a 45 00:02:23,880 --> 00:02:24,720 Speaker 4: what was that? 46 00:02:24,760 --> 00:02:26,760 Speaker 3: Oh, there's a lot of discussion around that. And first 47 00:02:26,760 --> 00:02:28,640 Speaker 3: of all, the month of May has all been about 48 00:02:28,639 --> 00:02:31,480 Speaker 3: these star reversals back into the US tech and back 49 00:02:31,520 --> 00:02:34,360 Speaker 3: into the US and back into cyclicals. But if you 50 00:02:34,400 --> 00:02:36,720 Speaker 3: actually look at the performance here to date, it's the 51 00:02:36,800 --> 00:02:41,000 Speaker 3: defensive sectors like utilities, for example, that lead the SMP. 52 00:02:41,240 --> 00:02:45,200 Speaker 3: They're up about five or six percent. The semiconductors, for example, 53 00:02:45,240 --> 00:02:48,560 Speaker 3: are down about five to six percent. So I don't 54 00:02:48,600 --> 00:02:52,840 Speaker 3: think it's actually too late for this rotation trade. And look, 55 00:02:52,840 --> 00:02:56,600 Speaker 3: we were never in the camp of the US exceptionalism 56 00:02:56,760 --> 00:02:59,520 Speaker 3: being over, because what's not over, for example, is the 57 00:02:59,520 --> 00:03:02,400 Speaker 3: fact that we have one of the most constructive tax 58 00:03:02,480 --> 00:03:06,040 Speaker 3: policies relative to our developed market peers. The fact that 59 00:03:06,080 --> 00:03:08,000 Speaker 3: the corporate tax rate in the US is twenty one 60 00:03:08,040 --> 00:03:12,200 Speaker 3: percent and with some write offs, maybe is the effective 61 00:03:12,200 --> 00:03:14,960 Speaker 3: one is even eighteen percent. That is a very constructive 62 00:03:15,040 --> 00:03:17,919 Speaker 3: environment to do business in the United States, and obviously 63 00:03:17,960 --> 00:03:20,880 Speaker 3: that's what the administration is trying to foster through terror 64 00:03:21,000 --> 00:03:21,799 Speaker 3: policy as well. 65 00:03:22,320 --> 00:03:24,480 Speaker 4: Do we have to bring the evaluation discussion back on 66 00:03:24,480 --> 00:03:26,400 Speaker 4: the table because boy, when the market's sold off, a 67 00:03:26,440 --> 00:03:28,600 Speaker 4: lot of folks are saying, wait, eighteen times earnings, I'm 68 00:03:28,600 --> 00:03:29,760 Speaker 4: going to go in and buy this thing. But now 69 00:03:29,760 --> 00:03:32,200 Speaker 4: we're back, you know above twenty times, How do you 70 00:03:32,240 --> 00:03:34,639 Speaker 4: think about earnings? Because there still may be some earnings risk. 71 00:03:34,520 --> 00:03:37,840 Speaker 3: In this market, right, So a few weeks ago we 72 00:03:37,880 --> 00:03:39,920 Speaker 3: sort of had when we didn't know what is likely 73 00:03:39,960 --> 00:03:42,080 Speaker 3: to happen with terrorists, we sort of had this binary risk. 74 00:03:42,120 --> 00:03:44,520 Speaker 3: We either have to price in a recession and therefore 75 00:03:44,600 --> 00:03:47,560 Speaker 3: recession or earnings, which could have taken us well, it 76 00:03:47,600 --> 00:03:49,600 Speaker 3: has taken us as low as five thousand, but could 77 00:03:49,600 --> 00:03:51,800 Speaker 3: have taken us lower if we also had to assign 78 00:03:51,800 --> 00:03:54,440 Speaker 3: a recession in multiple. Now we don't have to assign 79 00:03:54,440 --> 00:03:56,560 Speaker 3: a recession in multiple, and we actually have to focus 80 00:03:56,600 --> 00:03:58,960 Speaker 3: on the earnings not only this year but next year, 81 00:03:59,000 --> 00:04:02,000 Speaker 3: which are expected to be around three hundred and seven dollars. 82 00:04:02,240 --> 00:04:04,800 Speaker 3: So if you apply the existing multiple to that, you 83 00:04:04,840 --> 00:04:07,800 Speaker 3: actually do get north of six thousand on the S 84 00:04:07,840 --> 00:04:10,200 Speaker 3: and P five hundred. And that's why to Tom's point, 85 00:04:10,280 --> 00:04:12,840 Speaker 3: I say, large cap stocks are certainly worth staying with. 86 00:04:13,120 --> 00:04:15,960 Speaker 2: What does free cash flow look like? In use of cash? 87 00:04:16,080 --> 00:04:19,680 Speaker 2: I mean back when you were lonely and correct. The 88 00:04:19,760 --> 00:04:22,640 Speaker 2: answer is the free cash flow came in and I'm 89 00:04:22,680 --> 00:04:24,680 Speaker 2: hearing a lot of fancy Well, it's not going to 90 00:04:24,720 --> 00:04:27,680 Speaker 2: be this first second derivative, Da da da da da. 91 00:04:27,760 --> 00:04:31,560 Speaker 2: Do you see sustained free cash flow by the market leaders? 92 00:04:32,720 --> 00:04:35,120 Speaker 3: I mean, look, I do, and the use of free 93 00:04:35,120 --> 00:04:37,800 Speaker 3: cash flow I think certainly would benefit the share repurchases 94 00:04:37,960 --> 00:04:41,400 Speaker 3: and buybacks, and Tom, that's what we're seeing in the market. 95 00:04:41,440 --> 00:04:45,480 Speaker 3: We actually have some of the record authorizations for corporate 96 00:04:45,520 --> 00:04:48,000 Speaker 3: buybacks and that is such a strong presence in the 97 00:04:48,040 --> 00:04:50,599 Speaker 3: market as well, which is why I say market participants 98 00:04:50,600 --> 00:04:53,800 Speaker 3: are not tapped out. It's individual investors, it's hedge funds, 99 00:04:53,839 --> 00:04:57,880 Speaker 3: it's CTAs, but it's also corporate is buying back those shares. Look, 100 00:04:58,000 --> 00:05:01,640 Speaker 3: the beauty of the setup, Tom, is a corporate margins 101 00:05:01,760 --> 00:05:05,400 Speaker 3: are in your highs and so there's a lot of 102 00:05:05,960 --> 00:05:09,520 Speaker 3: room to absorb the potential negative impact of tariffs. 103 00:05:09,800 --> 00:05:13,159 Speaker 2: Just quickly here, how lonely do you feel now? Is 104 00:05:13,200 --> 00:05:16,400 Speaker 2: everybody in the AMRO support I think it's sort of 105 00:05:16,400 --> 00:05:19,200 Speaker 2: a pretty lonely call. There's a lot of fear out there, right, 106 00:05:19,400 --> 00:05:19,560 Speaker 2: you know. 107 00:05:19,839 --> 00:05:21,840 Speaker 3: I still think there's a degree of fear out there. 108 00:05:21,839 --> 00:05:24,120 Speaker 3: But I'll just quote these stats you know that you know, 109 00:05:24,200 --> 00:05:27,800 Speaker 3: back in April you had about sixty six percent of 110 00:05:27,839 --> 00:05:30,680 Speaker 3: investors that were bearish. That is not the number today. 111 00:05:30,680 --> 00:05:34,080 Speaker 3: It's probably closer to thirty percent now, couple. It's a 112 00:05:34,120 --> 00:05:36,840 Speaker 3: big reversal. A couple of weeks ago you probably had 113 00:05:36,880 --> 00:05:40,440 Speaker 3: only twenty percent of investors that were bullish. Today that's 114 00:05:40,480 --> 00:05:43,599 Speaker 3: about thirty seven percent, But it's not fifty It's not 115 00:05:43,680 --> 00:05:45,520 Speaker 3: half of the investors that we're in the bullish camp 116 00:05:45,600 --> 00:05:47,719 Speaker 3: to start the year. So I think we need a 117 00:05:47,720 --> 00:05:48,680 Speaker 3: few more to join the party. 118 00:05:48,720 --> 00:05:50,480 Speaker 2: Don't be a stranger. Come back again to sure of 119 00:05:50,600 --> 00:05:53,920 Speaker 2: visits today. Anastasia am Aroso with that capital, She's been 120 00:05:53,960 --> 00:05:56,960 Speaker 2: courageous about long in the market for years. 121 00:06:02,440 --> 00:06:06,040 Speaker 1: You're listening to the Bloomberg Surveillance podcast. Catch us live 122 00:06:06,120 --> 00:06:09,240 Speaker 1: weekday afternoons from seven to ten am Eastern Listen on 123 00:06:09,360 --> 00:06:13,000 Speaker 1: Applecarplay and Android Auto with the Bloomberg Business app, or 124 00:06:13,160 --> 00:06:15,159 Speaker 1: watch us live on YouTube. 125 00:06:15,000 --> 00:06:19,599 Speaker 2: Now joining US d ives in videos not Cisco right. 126 00:06:20,560 --> 00:06:23,240 Speaker 5: It's almost an insult to in video when you say 127 00:06:23,240 --> 00:06:26,400 Speaker 5: look because the reality is that it's a fourth Industrial 128 00:06:26,480 --> 00:06:29,719 Speaker 5: revolution and it's being led by godfather of AI, Jensen 129 00:06:29,760 --> 00:06:32,039 Speaker 5: and video. There's only one chip in the world, few 130 00:06:32,160 --> 00:06:35,279 Speaker 5: on this and that's why I believe four trillion and 131 00:06:35,320 --> 00:06:37,680 Speaker 5: eventually five trillion is where we're going to see for in. 132 00:06:37,760 --> 00:06:41,640 Speaker 2: Okay, in the ives perspectives on this page forty two 133 00:06:41,839 --> 00:06:46,240 Speaker 2: risk factors. What's the risk factor for the certitude this 134 00:06:46,240 --> 00:06:47,520 Speaker 2: thing's going to work out? 135 00:06:47,720 --> 00:06:50,440 Speaker 5: Look, I mean when you think about China, and obviously 136 00:06:50,480 --> 00:06:54,000 Speaker 5: that's all factored in here. I mean, anything that gets 137 00:06:54,000 --> 00:06:57,200 Speaker 5: a little positive in terms of moves on trade and 138 00:06:57,240 --> 00:07:00,560 Speaker 5: tariffs between US and China is ultimately that that to 139 00:07:00,640 --> 00:07:02,560 Speaker 5: me right now, the biggest risk is just trying to 140 00:07:02,600 --> 00:07:05,400 Speaker 5: and I think Jensen called it out shout across about 141 00:07:05,680 --> 00:07:10,480 Speaker 5: Trump administration. You're essentially giving away the China business because 142 00:07:10,520 --> 00:07:13,480 Speaker 5: of the AH twenty to Huawei, and that's the biggest risk. 143 00:07:13,720 --> 00:07:16,200 Speaker 5: But tom it just comes down to, like it is 144 00:07:16,440 --> 00:07:19,320 Speaker 5: Jensen and Nvidia's world. Everyone else is paying rent when 145 00:07:19,360 --> 00:07:20,080 Speaker 5: it comes to AI. 146 00:07:20,400 --> 00:07:22,160 Speaker 4: So what was the biggest takeaway from the earnings? 147 00:07:22,240 --> 00:07:22,560 Speaker 5: Last night? 148 00:07:22,640 --> 00:07:25,200 Speaker 4: It stocks up five six percent this morning, what's the 149 00:07:25,200 --> 00:07:26,200 Speaker 4: street taken away from it? 150 00:07:26,240 --> 00:07:30,240 Speaker 5: Was a staggering quarter in a bullish way relative to 151 00:07:30,280 --> 00:07:33,480 Speaker 5: the demand. I believe right now, demands that Truman supply 152 00:07:33,520 --> 00:07:34,080 Speaker 5: eight to one. 153 00:07:34,480 --> 00:07:38,440 Speaker 4: You got SOPs supplying supply eight to one. 154 00:07:38,520 --> 00:07:39,040 Speaker 6: Eight to one. 155 00:07:39,200 --> 00:07:43,080 Speaker 4: Wow, So what where does this company go? What does 156 00:07:43,200 --> 00:07:46,480 Speaker 4: Nvidia do now to kind of take advantage of that 157 00:07:46,520 --> 00:07:47,320 Speaker 4: demand out there? 158 00:07:47,520 --> 00:07:52,400 Speaker 5: It's when you think about autonomous robotics physical AI. Eventually 159 00:07:52,480 --> 00:07:56,040 Speaker 5: keen with a robot, you know, in his in his palace. 160 00:07:56,160 --> 00:07:57,800 Speaker 2: You've been talking to Mikey. 161 00:07:58,040 --> 00:08:02,800 Speaker 5: Look, this is the only way it's fueled is by Nvidia. 162 00:08:03,040 --> 00:08:06,760 Speaker 5: So to me, now, the AI revolution coming to Middle 163 00:08:06,840 --> 00:08:10,600 Speaker 5: East sovereigns they want to be online. 164 00:08:10,640 --> 00:08:13,960 Speaker 2: It's on a unit basis. They're selling these things, right, 165 00:08:14,560 --> 00:08:17,360 Speaker 2: do you have a linear I mean, I got seventy 166 00:08:17,400 --> 00:08:20,640 Speaker 2: seven percent up free cash flow, but these numbers we've 167 00:08:20,640 --> 00:08:24,880 Speaker 2: never seen this. How do you extrapolate the unit growth 168 00:08:25,080 --> 00:08:28,960 Speaker 2: into the future. Forget about price, forget about tech boys 169 00:08:29,240 --> 00:08:31,280 Speaker 2: with their fancy shoes and you going out to all 170 00:08:31,280 --> 00:08:34,840 Speaker 2: the conferences you go to on a unit basis? Is 171 00:08:34,840 --> 00:08:36,319 Speaker 2: it a linear extrapolation? 172 00:08:37,160 --> 00:08:39,960 Speaker 5: Look, it's it's unprecedent in terms of what we've seen. 173 00:08:40,160 --> 00:08:43,600 Speaker 5: But to give granted, but if you look, it's almost 174 00:08:43,720 --> 00:08:47,480 Speaker 5: it's linear. But to the point that right now you 175 00:08:47,559 --> 00:08:51,439 Speaker 5: only have three percent of enterprises in the US that 176 00:08:51,480 --> 00:08:54,160 Speaker 5: have actually even gone down the AI path. So when 177 00:08:54,200 --> 00:08:57,200 Speaker 5: you think about the demand trajectory and where we ultimately 178 00:08:57,200 --> 00:08:59,280 Speaker 5: see this playing out, I mean you will be on 179 00:08:59,320 --> 00:09:02,080 Speaker 5: a trajector to ten dollars today. 180 00:09:02,120 --> 00:09:05,160 Speaker 2: Paul knows it. Cold pract and gamble. What in God's 181 00:09:05,280 --> 00:09:09,000 Speaker 2: name is shamp vellow ballsom shampoo. What are they gonna 182 00:09:09,040 --> 00:09:10,480 Speaker 2: do with AI? 183 00:09:11,800 --> 00:09:16,320 Speaker 5: They're gonna look at marketing penetration and customers. They're gonna 184 00:09:16,320 --> 00:09:19,120 Speaker 5: look at all their data, probably seventy percent of it 185 00:09:19,160 --> 00:09:22,959 Speaker 5: that they basically they have not analyzed, and they're gonna 186 00:09:23,000 --> 00:09:26,720 Speaker 5: come up with eight, ten, fifteen use cases for how 187 00:09:26,800 --> 00:09:30,280 Speaker 5: AI agents could be deployed. Which is bullish from Microsoft, 188 00:09:30,520 --> 00:09:34,000 Speaker 5: bullish from MESSI of AI pound tier, bullish ultimately for 189 00:09:34,080 --> 00:09:35,160 Speaker 5: the rest of the food chain. 190 00:09:35,360 --> 00:09:37,320 Speaker 2: Well, I looked at the chart yesterday. I mean the 191 00:09:37,440 --> 00:09:40,880 Speaker 2: quiet story at Q two is the moonshot in Microsoft 192 00:09:40,960 --> 00:09:43,120 Speaker 2: maybe record highs this morning, yep, yep. 193 00:09:43,360 --> 00:09:46,640 Speaker 4: So Nvidia expec's revenue about forty five million in forty 194 00:09:46,640 --> 00:09:49,319 Speaker 4: five billion in the second fiscal quarter despite new export 195 00:09:49,360 --> 00:09:53,199 Speaker 4: restrictions costing about eight billion. That's a headwind. 196 00:09:53,679 --> 00:09:56,319 Speaker 5: Okay, let's just talk Apple, And there's why the stocks 197 00:09:56,400 --> 00:10:00,000 Speaker 5: up Apples to Apples Street, which is say April second, 198 00:10:00,360 --> 00:10:04,480 Speaker 5: you know libration, they didn't happen streets at forty eight billion, yep, okay, 199 00:10:04,520 --> 00:10:08,480 Speaker 5: Apples Apples, it would have been fifty three a five 200 00:10:08,720 --> 00:10:11,760 Speaker 5: billion piece. So Paul, that to me, it's when but 201 00:10:11,880 --> 00:10:15,679 Speaker 5: that speaks apples to apples, and everyone recognizes, I mean 202 00:10:15,760 --> 00:10:18,960 Speaker 5: you are you're looking at something that's really been unpressed 203 00:10:18,960 --> 00:10:21,640 Speaker 5: and I had relative to what we're seeing with them. 204 00:10:21,720 --> 00:10:23,160 Speaker 2: Can I on it? 205 00:10:23,280 --> 00:10:25,960 Speaker 4: Can my chip guys do a workaround whatever the US 206 00:10:26,000 --> 00:10:26,720 Speaker 4: restrictions are? 207 00:10:26,840 --> 00:10:30,040 Speaker 5: Well, that's that the market's basically reading through this saying 208 00:10:30,080 --> 00:10:32,200 Speaker 5: at one point you're gonna have to come to the table. 209 00:10:32,600 --> 00:10:35,240 Speaker 5: Part of negotiations. When you get chips on the table, 210 00:10:35,480 --> 00:10:38,440 Speaker 5: it's in video, it's Apple. When you think about trum administration, 211 00:10:38,600 --> 00:10:41,800 Speaker 5: come to the table. And and that's something where there 212 00:10:41,840 --> 00:10:45,440 Speaker 5: could be some work around eight billion that they've given away, 213 00:10:45,800 --> 00:10:47,640 Speaker 5: maybe half of that they get back. 214 00:10:47,800 --> 00:10:51,360 Speaker 2: Okay, Apple. Unfortunately the chart doesn't look like Microsoft. I 215 00:10:51,360 --> 00:10:54,800 Speaker 2: got Apple right now down twenty two percent from the peak. 216 00:10:55,360 --> 00:10:57,720 Speaker 2: We don't have time for the Why how does Tim 217 00:10:57,800 --> 00:10:58,880 Speaker 2: Cook turn it around? 218 00:10:59,480 --> 00:11:02,480 Speaker 5: I mean he this is continues to be a hall 219 00:11:02,520 --> 00:11:04,040 Speaker 5: of fame moment in terms of how he's now the 220 00:11:04,080 --> 00:11:04,760 Speaker 5: get moment. 221 00:11:04,800 --> 00:11:07,800 Speaker 2: Come on, Paul told me to buy this thing at 222 00:11:07,800 --> 00:11:10,520 Speaker 2: the beginning of the year. I'm down twenty, but not 223 00:11:10,559 --> 00:11:11,400 Speaker 2: a hall of fame moment. 224 00:11:11,480 --> 00:11:13,840 Speaker 5: It's a hall of fame moment relative to the China 225 00:11:13,920 --> 00:11:17,040 Speaker 5: tariffs and getting around in ultimately India being the life raft. 226 00:11:17,080 --> 00:11:20,320 Speaker 5: You're gonna have sixty five seventy percent of assembly coming 227 00:11:20,320 --> 00:11:23,760 Speaker 5: out of India. And I think, look, no company is 228 00:11:23,800 --> 00:11:25,920 Speaker 5: more caught in the storm when it comes tariffs than 229 00:11:26,000 --> 00:11:29,520 Speaker 5: Cook and Cooper. Tina will be at WWDC. It's the 230 00:11:29,559 --> 00:11:32,680 Speaker 5: start of that broader AI strategy. I first said that 231 00:11:32,840 --> 00:11:38,720 Speaker 5: last year, No and Tom. If you take out tariffs, 232 00:11:39,360 --> 00:11:41,840 Speaker 5: this is a stock that's forty to fifty dollars higher. 233 00:11:42,200 --> 00:11:45,720 Speaker 5: So my view is that Cook is ten percent politician, 234 00:11:46,200 --> 00:11:49,480 Speaker 5: nineteen percent CEO. He'll navigate around this. And I think 235 00:11:49,520 --> 00:11:52,400 Speaker 5: we city are six months from now. The name that 236 00:11:52,600 --> 00:11:55,040 Speaker 5: I think is way miss priced is Apple. 237 00:11:56,120 --> 00:11:58,280 Speaker 4: Elon's going back to work. It seems like, what do 238 00:11:58,320 --> 00:12:00,280 Speaker 4: you expect it in the next six six months until. 239 00:12:00,280 --> 00:12:02,679 Speaker 5: I mean the dark chapter is over right, and and 240 00:12:02,720 --> 00:12:05,720 Speaker 5: I think it's bullet because now the autonomous and robotics 241 00:12:05,720 --> 00:12:08,360 Speaker 5: feature is here. And ultimately, look this, it was a 242 00:12:08,360 --> 00:12:11,839 Speaker 5: fork in the road moment he bet on Tasla, And 243 00:12:11,920 --> 00:12:13,959 Speaker 5: now I think, even though there is still some brand 244 00:12:14,000 --> 00:12:17,440 Speaker 5: damage that remains, we weave the path through to a 245 00:12:17,480 --> 00:12:19,800 Speaker 5: two trillion dollar mark out for Tasla is now on 246 00:12:19,840 --> 00:12:20,280 Speaker 5: the table. 247 00:12:20,520 --> 00:12:25,120 Speaker 2: Lisa, if your daughter in her prom, if her date 248 00:12:25,240 --> 00:12:29,000 Speaker 2: shows up in a tuxedo, that's that pink. 249 00:12:29,080 --> 00:12:29,840 Speaker 7: That's the trend. 250 00:12:29,840 --> 00:12:31,480 Speaker 4: Now that's what the kids are doing. 251 00:12:31,520 --> 00:12:34,240 Speaker 2: The kids are doing. The kids going to show up 252 00:12:34,280 --> 00:12:36,400 Speaker 2: in tuxedo with. 253 00:12:36,360 --> 00:12:40,480 Speaker 7: Like no everything like bananas, pineapples, like whatever on this ser. 254 00:12:42,080 --> 00:12:42,640 Speaker 2: Toxedo. 255 00:12:43,720 --> 00:12:46,720 Speaker 5: Because I keep thinking, I keep waiting for the keen 256 00:12:47,080 --> 00:12:50,240 Speaker 5: pink boats tie. We know, I think it's I think 257 00:12:50,280 --> 00:12:54,280 Speaker 5: with AI it could be coming with. 258 00:12:55,640 --> 00:12:58,040 Speaker 2: Today they said ives was here and I went with pink. 259 00:12:58,040 --> 00:12:59,520 Speaker 2: But I think you look I did. 260 00:13:00,080 --> 00:13:02,439 Speaker 5: It's phenomenal in the pink bow tie. I'm just I'm 261 00:13:02,480 --> 00:13:03,160 Speaker 5: just saying. 262 00:13:03,440 --> 00:13:09,719 Speaker 4: You know, I just give my charity yesterday you did 263 00:13:09,760 --> 00:13:11,920 Speaker 4: what Yeah my tux seedo that had I had worn. 264 00:13:11,800 --> 00:13:12,680 Speaker 7: In twenty years. 265 00:13:12,720 --> 00:13:14,280 Speaker 6: Okay, that's why. 266 00:13:14,440 --> 00:13:18,440 Speaker 2: Yeah, the difference, Paul, Paul, you would still get into 267 00:13:18,480 --> 00:13:21,400 Speaker 2: the tex exactly my tuxedo from twenty years ago. 268 00:13:21,640 --> 00:13:26,680 Speaker 5: It happened single best buy Apple, single best buye Here 269 00:13:26,800 --> 00:13:31,320 Speaker 5: to me, it's Tesla, given the given the autonomous path, 270 00:13:31,400 --> 00:13:34,520 Speaker 5: and must recommitted that continues to be front and center. 271 00:13:34,640 --> 00:13:37,440 Speaker 2: You're pro. I'm an amateur. I don't buy it. I 272 00:13:37,600 --> 00:13:39,400 Speaker 2: just can't get there, Paul, can you get there? 273 00:13:39,920 --> 00:13:41,600 Speaker 6: I can't bet against Elon in this stock. 274 00:13:41,640 --> 00:13:42,200 Speaker 4: It's just been. 275 00:13:42,920 --> 00:13:43,480 Speaker 2: It's just been. 276 00:13:43,559 --> 00:13:46,600 Speaker 4: It's been amazing story. And if he's back, if he's 277 00:13:46,600 --> 00:13:48,360 Speaker 4: really back, that's good for that He's back. 278 00:13:48,480 --> 00:13:52,360 Speaker 2: That's the way we rolled. Dan's Thank you so much. 279 00:13:52,679 --> 00:13:56,560 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 280 00:13:56,600 --> 00:13:59,479 Speaker 1: starting at seven am Eastern on Apple Corplay. 281 00:13:59,120 --> 00:14:01,520 Speaker 8: And Android Auto with the Bloomberg Business App. 282 00:14:01,640 --> 00:14:04,640 Speaker 1: You can also listen live on Amazon Alexa from our 283 00:14:04,720 --> 00:14:09,199 Speaker 1: flagship New York station, Just say Alexa, play Bloomberg eleven thirty. 284 00:14:09,360 --> 00:14:11,440 Speaker 2: It is the most important interview of the day, folks, 285 00:14:11,960 --> 00:14:16,240 Speaker 2: Riveting America is with Andrew Gilbert joining us. Now he's 286 00:14:16,320 --> 00:14:21,640 Speaker 2: with ECP, but forget about that, far far more. Andrew 287 00:14:21,680 --> 00:14:27,120 Speaker 2: Gilbert has a massive cred out of stern On Data Centers. Yep, 288 00:14:27,400 --> 00:14:31,600 Speaker 2: you need to be neuutilities. I have seen the collective's 289 00:14:31,760 --> 00:14:35,960 Speaker 2: amount of hot air from people that didn't take thermodynamics 290 00:14:36,080 --> 00:14:39,920 Speaker 2: now is off the chart. Cut to the chase. Is 291 00:14:40,080 --> 00:14:44,760 Speaker 2: retail Electric America going to pay for Microsoft or in 292 00:14:44,920 --> 00:14:47,400 Speaker 2: Video's data center electric bill? 293 00:14:47,760 --> 00:14:48,800 Speaker 6: Well, first, thanks for having me on. 294 00:14:48,920 --> 00:14:51,640 Speaker 9: Happy to be here in really exciting time in our 295 00:14:51,720 --> 00:14:54,920 Speaker 9: industry for nuts for twenty five years, no growth, and 296 00:14:55,000 --> 00:14:59,600 Speaker 9: all of a sudden, we're on TV here after Nvidia earnings. 297 00:15:00,040 --> 00:15:03,000 Speaker 2: It's better than me, so it works. Are we going 298 00:15:03,080 --> 00:15:05,240 Speaker 2: to pay for nvidious data center? 299 00:15:05,480 --> 00:15:05,680 Speaker 7: Yeah? 300 00:15:05,880 --> 00:15:07,680 Speaker 6: So across across it's a great question. 301 00:15:07,760 --> 00:15:10,680 Speaker 9: Across the country, regulators are trying to figure out how 302 00:15:10,720 --> 00:15:13,040 Speaker 9: to make those companies pay for it, How to make Microsoft, 303 00:15:13,080 --> 00:15:13,960 Speaker 9: Amazon pay for it. 304 00:15:14,480 --> 00:15:16,920 Speaker 2: Confidence they will, they will, and. 305 00:15:16,960 --> 00:15:18,680 Speaker 9: I think they're already finding a better way to do 306 00:15:18,760 --> 00:15:21,880 Speaker 9: that in competitive markets. So regulated utilities want you and 307 00:15:21,920 --> 00:15:24,240 Speaker 9: I to pay it on our content bill, But competitive 308 00:15:24,280 --> 00:15:29,160 Speaker 9: markets it's different. Companies like ours invest in competitive generation 309 00:15:29,520 --> 00:15:31,560 Speaker 9: and we take the risk. And I think that's the 310 00:15:31,600 --> 00:15:34,280 Speaker 9: big difference between regulated areas like the southeast of the 311 00:15:34,320 --> 00:15:37,760 Speaker 9: country and competitive markets like the Northeast and Texas. 312 00:15:38,280 --> 00:15:41,840 Speaker 4: So how do we power all these data centers. What's 313 00:15:41,880 --> 00:15:44,960 Speaker 4: the what's the path forward? Because I keep seeing Nvidia 314 00:15:45,000 --> 00:15:47,200 Speaker 4: and other companies from Microsoft and that we're building, We're building, 315 00:15:47,240 --> 00:15:49,680 Speaker 4: we're building, we're building. You've got to power this stuff. 316 00:15:49,680 --> 00:15:51,320 Speaker 4: I mean, I watch landman, I know how the oil 317 00:15:51,360 --> 00:15:52,280 Speaker 4: and gams industry works. 318 00:15:52,280 --> 00:15:52,880 Speaker 2: Oh, here we go. 319 00:15:53,200 --> 00:15:53,600 Speaker 5: Talk to us. 320 00:15:53,600 --> 00:15:55,560 Speaker 6: How we're going to power this stuff with everything? 321 00:15:55,960 --> 00:15:56,200 Speaker 2: Okay? 322 00:15:56,480 --> 00:15:58,560 Speaker 9: This this is an industry that really again hasn't had 323 00:15:58,680 --> 00:16:00,960 Speaker 9: much demand growth, all of a sudden has an explosion 324 00:16:01,000 --> 00:16:02,680 Speaker 9: of it, and so we're going to need electricity from 325 00:16:02,720 --> 00:16:05,080 Speaker 9: all sources. Gas is going to have to be a 326 00:16:05,120 --> 00:16:07,680 Speaker 9: big component of it. Renewables as well, and that stuff 327 00:16:07,720 --> 00:16:12,560 Speaker 9: faces challenges with with tariffs and protectionist policies, with tax 328 00:16:12,640 --> 00:16:15,160 Speaker 9: credit risk on the renewable side. On the gas side, 329 00:16:15,160 --> 00:16:18,000 Speaker 9: it's just industry that for a while was sort of 330 00:16:18,040 --> 00:16:21,920 Speaker 9: adapting to almost no growth. So companies like ge Vernova 331 00:16:22,640 --> 00:16:25,040 Speaker 9: and Siemens are ramping up production capacity, but it's not 332 00:16:25,160 --> 00:16:26,600 Speaker 9: there yet, so it's going to take time. 333 00:16:27,400 --> 00:16:30,560 Speaker 4: Is it a public private partnership here? What's the regulatory 334 00:16:30,600 --> 00:16:35,320 Speaker 4: environment that you guys in on the financial side. 335 00:16:35,200 --> 00:16:35,680 Speaker 5: Need to see? 336 00:16:37,280 --> 00:16:39,080 Speaker 9: Uncertainty has been I think used a lot in the 337 00:16:39,120 --> 00:16:41,920 Speaker 9: show and many shows recently. We need policy certainty. The 338 00:16:42,000 --> 00:16:45,560 Speaker 9: industry is ready to make investment the investments needed the industry. 339 00:16:45,600 --> 00:16:48,560 Speaker 4: What is the industry? Is it just the power industry? 340 00:16:49,200 --> 00:16:49,720 Speaker 2: Is it old? 341 00:16:49,920 --> 00:16:50,880 Speaker 4: Is it exceon Mobile? 342 00:16:51,000 --> 00:16:52,600 Speaker 2: Is electric? 343 00:16:53,440 --> 00:16:58,640 Speaker 9: It's competitive generators like Constellation, Vistra Energy Talent companies like 344 00:16:58,720 --> 00:17:00,920 Speaker 9: that are the companies that going to move more quickly 345 00:17:01,000 --> 00:17:04,400 Speaker 9: than regulated utilities. But regular utilities, the dominions, the southerns, 346 00:17:04,440 --> 00:17:05,400 Speaker 9: they will be part of this too. 347 00:17:05,720 --> 00:17:08,480 Speaker 2: Ge Vernova GV, I really don't know what it is. 348 00:17:08,560 --> 00:17:11,200 Speaker 2: All I know is mister Colp's genius. I got a 349 00:17:11,320 --> 00:17:15,879 Speaker 2: moonshot one fifty to four eighty five. Is that the 350 00:17:15,960 --> 00:17:19,119 Speaker 2: future of your business, whether it's private you know, like 351 00:17:19,240 --> 00:17:24,680 Speaker 2: your shop like ECP or public utilities boring Grammar, stock dominion. 352 00:17:24,960 --> 00:17:27,679 Speaker 2: I need to divo it an increase. Is this total 353 00:17:27,760 --> 00:17:29,760 Speaker 2: return of ge Fornova the future? 354 00:17:30,480 --> 00:17:34,360 Speaker 9: It's all about the shortage of gas turbines. That's what's 355 00:17:34,440 --> 00:17:37,320 Speaker 9: driving gev's performance and that's what we're seeing. 356 00:17:37,400 --> 00:17:40,640 Speaker 2: Yeah, but guess turbines aren't spinning windmules going around. Don't 357 00:17:40,640 --> 00:17:45,240 Speaker 2: give me this renewable energy. Song and dance is traditional energy. 358 00:17:45,720 --> 00:17:49,720 Speaker 2: Dare I say coal going to power Microsoft's need for 359 00:17:49,800 --> 00:17:51,160 Speaker 2: the fourteenth data center. 360 00:17:51,480 --> 00:17:54,040 Speaker 9: Colon not Cole will survive a bit longer, but it's 361 00:17:54,080 --> 00:17:57,600 Speaker 9: declining and that's not going to change. Gas has really changed. 362 00:17:57,920 --> 00:18:00,840 Speaker 9: Gas has been the biggest kind of placement of coal, 363 00:18:01,119 --> 00:18:04,000 Speaker 9: and that's going to accelerate because data centers need twenty 364 00:18:04,040 --> 00:18:06,680 Speaker 9: four to seven electricity. Wind in solar don't provide that, 365 00:18:07,200 --> 00:18:09,280 Speaker 9: but wind in solar are cheap and that they can 366 00:18:09,320 --> 00:18:12,080 Speaker 9: be constructed quickly. So we need all of it to 367 00:18:12,200 --> 00:18:14,840 Speaker 9: meet this challenge. You can't do it with one feel source. 368 00:18:15,119 --> 00:18:15,440 Speaker 2: See that. 369 00:18:15,920 --> 00:18:17,120 Speaker 4: That's what I've understood. 370 00:18:17,119 --> 00:18:17,800 Speaker 1: You got to have it all. 371 00:18:18,040 --> 00:18:21,320 Speaker 4: Talk to us about nuclear I like the modular nuclear things. 372 00:18:21,400 --> 00:18:23,320 Speaker 4: Pop that baby right next to a data center. Let 373 00:18:23,359 --> 00:18:24,920 Speaker 4: it power it is that realistic? 374 00:18:25,520 --> 00:18:27,560 Speaker 9: Well, if you're willing to pay I don't know, seven 375 00:18:27,680 --> 00:18:31,800 Speaker 9: times the price of gas, maybe really and we think 376 00:18:31,920 --> 00:18:34,040 Speaker 9: it will be a factor that cost will come down 377 00:18:34,119 --> 00:18:36,480 Speaker 9: over time, but it's not ready two years from now. 378 00:18:37,160 --> 00:18:38,439 Speaker 9: It's probably ten years from now. 379 00:18:39,000 --> 00:18:42,560 Speaker 2: Man, I thought that was a cool, Well, this is fascining. 380 00:18:42,640 --> 00:18:44,320 Speaker 2: He's gonna be with us for the next four hours. 381 00:18:44,680 --> 00:18:48,400 Speaker 2: Andrew Gilbert with us. He's partner at ECP. We've been 382 00:18:48,480 --> 00:18:50,879 Speaker 2: dying to do this. Palls in the meeting at three am. 383 00:18:51,200 --> 00:18:53,200 Speaker 2: When are we going to do data centers? We're doing 384 00:18:53,240 --> 00:18:57,600 Speaker 2: it right now. Are the tech companies open or are 385 00:18:57,640 --> 00:19:01,600 Speaker 2: they opaque about their plan? It's like they're like, you know, 386 00:19:01,720 --> 00:19:03,600 Speaker 2: we have to keep our image jump. If you know, 387 00:19:03,720 --> 00:19:06,560 Speaker 2: Cooper Tino, they're out there wearing sneakers and you know, 388 00:19:07,040 --> 00:19:09,520 Speaker 2: you know they're Lulu Lemon and all that. Are they 389 00:19:09,680 --> 00:19:13,840 Speaker 2: Are they transparent about their electrical demand needs? 390 00:19:14,440 --> 00:19:16,200 Speaker 6: Well, what's we mentioned uncertainty. 391 00:19:16,240 --> 00:19:18,560 Speaker 9: What's certain is the top five or six companies are 392 00:19:18,600 --> 00:19:20,240 Speaker 9: going to spend four hundred million dollars a year on 393 00:19:20,320 --> 00:19:22,840 Speaker 9: this stuff. And that's good and that's going to drive 394 00:19:22,920 --> 00:19:24,200 Speaker 9: electricity demand growth. 395 00:19:24,080 --> 00:19:25,040 Speaker 6: Yes, per year. 396 00:19:26,480 --> 00:19:30,200 Speaker 9: On the on the opacity, sure, it's hard to get 397 00:19:30,240 --> 00:19:33,600 Speaker 9: projects connected. So if you're a meta and you have 398 00:19:33,720 --> 00:19:37,120 Speaker 9: a two gigawatt need, you're going to apply for projects 399 00:19:37,280 --> 00:19:39,840 Speaker 9: in different parts of each market and hope that one 400 00:19:39,880 --> 00:19:42,640 Speaker 9: of them kind of gets service, gets connected. So you've 401 00:19:42,640 --> 00:19:44,600 Speaker 9: got to make sure. You've got to have contingency plans. 402 00:19:44,960 --> 00:19:46,639 Speaker 9: So I think they're doing some of that. I think 403 00:19:46,680 --> 00:19:47,920 Speaker 9: they're becoming more transparent. 404 00:19:48,960 --> 00:19:51,639 Speaker 4: You're thirty eight years old, dude, how did you You 405 00:19:51,680 --> 00:19:55,000 Speaker 4: guys are doing some serious stuff at ECPs. What's the 406 00:19:55,160 --> 00:19:58,120 Speaker 4: focus of what you guys are doing. You're investing equity 407 00:19:58,880 --> 00:20:05,560 Speaker 4: credit for power generation? Where's the where's the next five years? 408 00:20:07,080 --> 00:20:09,720 Speaker 9: As I mentioned before, this industry was even the electricity 409 00:20:09,760 --> 00:20:12,600 Speaker 9: I think is the most exciting commodity in the world. 410 00:20:12,840 --> 00:20:14,360 Speaker 6: Nobody cared about it three years ago. 411 00:20:14,640 --> 00:20:16,640 Speaker 2: I've seen you at a bar. The whole bar goes 412 00:20:16,720 --> 00:20:18,960 Speaker 2: to sleep when you start talking gigawatts. 413 00:20:20,560 --> 00:20:23,359 Speaker 6: But that is our focus, and it's an industry all 414 00:20:23,400 --> 00:20:24,160 Speaker 6: of a sudden is growing. 415 00:20:24,320 --> 00:20:30,160 Speaker 4: Is this an administration that wants to support smart energy development, 416 00:20:30,359 --> 00:20:33,400 Speaker 4: whether it's fossil fuels or green I hope. 417 00:20:33,480 --> 00:20:38,040 Speaker 2: So. Okay, how'd you react when Spain went dark? To 418 00:20:38,200 --> 00:20:41,280 Speaker 2: me the heart of the matter. You know, I did 419 00:20:41,359 --> 00:20:45,320 Speaker 2: a little bit of the act. Yes, I survived thermodynamics, folks, 420 00:20:45,560 --> 00:20:49,080 Speaker 2: not quantum mechanics. But that's a different story. Okay, great 421 00:20:49,440 --> 00:20:53,200 Speaker 2: Spain goes dark because of the grid and the rap is. 422 00:20:53,280 --> 00:20:56,000 Speaker 2: I'm speaking out of turn, folks, a bunch of touchy 423 00:20:56,119 --> 00:21:01,240 Speaker 2: feely theory. How does America avoid apearch black Spain for 424 00:21:01,359 --> 00:21:01,879 Speaker 2: two days? 425 00:21:02,720 --> 00:21:06,000 Speaker 9: I think it's about paying and compensating generators for reliability. 426 00:21:06,280 --> 00:21:09,720 Speaker 9: A big challenge in the electricity market is the capacity 427 00:21:09,800 --> 00:21:12,280 Speaker 9: that's not needed most of the time, but is needed 428 00:21:12,320 --> 00:21:14,800 Speaker 9: in that five percent scenario. And you've got to make 429 00:21:14,840 --> 00:21:17,359 Speaker 9: sure those those units are compensated, and they're starting. 430 00:21:17,119 --> 00:21:20,199 Speaker 2: To be and honor Dan Fuss, Boston, Looma's sales. Can 431 00:21:20,280 --> 00:21:23,520 Speaker 2: Quebec Hydro come to the rescue. Can the Canadians be 432 00:21:24,040 --> 00:21:27,159 Speaker 2: a data center conduit to keep us in or is 433 00:21:27,200 --> 00:21:29,160 Speaker 2: it just too far to get it to some data 434 00:21:29,240 --> 00:21:30,720 Speaker 2: center in French Hills, Arkansas? 435 00:21:31,160 --> 00:21:33,240 Speaker 9: They need they need it up there too, need it 436 00:21:33,320 --> 00:21:35,680 Speaker 9: up there up there, especially during the winter. So it's 437 00:21:35,840 --> 00:21:38,600 Speaker 9: it's not twenty four to seven reliable type type generation, 438 00:21:38,680 --> 00:21:39,520 Speaker 9: which is what we need now. 439 00:21:39,720 --> 00:21:42,560 Speaker 2: Lisa emails in, should I put solar panels on my 440 00:21:42,680 --> 00:21:43,400 Speaker 2: garage roof? 441 00:21:44,400 --> 00:21:47,760 Speaker 9: Maybe maybe losing that tax credit soon to do that 442 00:21:47,840 --> 00:21:49,240 Speaker 9: so it could get a little bit more expensive. 443 00:21:49,960 --> 00:21:54,000 Speaker 2: Should we have the text credit? Yes, it's radio. You 444 00:21:54,080 --> 00:21:54,560 Speaker 2: got to talk. 445 00:21:54,720 --> 00:21:57,160 Speaker 4: What's the I mean, just real quickly, what's the what's 446 00:21:57,240 --> 00:22:00,879 Speaker 4: the next investment you guys want to make? Where do 447 00:22:00,920 --> 00:22:02,800 Speaker 4: you want to put capital for your Where do you 448 00:22:02,840 --> 00:22:03,879 Speaker 4: want to put your client's capital? 449 00:22:04,000 --> 00:22:07,359 Speaker 6: Today it's it's powering data centers. 450 00:22:07,440 --> 00:22:09,359 Speaker 9: So it's partnering with the biggest companies in the world 451 00:22:09,680 --> 00:22:12,119 Speaker 9: to supply these needs and to make sure that rate 452 00:22:12,200 --> 00:22:14,320 Speaker 9: payers aren't paying for it so it doesn't show up 453 00:22:14,359 --> 00:22:16,280 Speaker 9: on our electricity bills. 454 00:22:16,440 --> 00:22:22,040 Speaker 2: Unfair question. Final question, Andrew Gilbert, which traditional utility has 455 00:22:22,200 --> 00:22:24,240 Speaker 2: best practices for the future. 456 00:22:25,040 --> 00:22:25,480 Speaker 6: I think what. 457 00:22:27,240 --> 00:22:29,440 Speaker 9: Some of the western utilities are doing in terms of 458 00:22:30,280 --> 00:22:34,800 Speaker 9: hardening and the efforts they're making around wildfire prevention is excellent. 459 00:22:35,560 --> 00:22:38,560 Speaker 9: It's a huge challenge they face to keep that, to 460 00:22:38,640 --> 00:22:40,720 Speaker 9: keep the wire safe, to keep people safe, and I 461 00:22:40,720 --> 00:22:43,120 Speaker 9: think they're doing a fantastic job turning those businesses around. 462 00:22:43,200 --> 00:22:43,960 Speaker 2: Don't be strange. 463 00:22:44,000 --> 00:22:45,000 Speaker 6: Yeah, I would love to come back. 464 00:22:45,119 --> 00:22:47,440 Speaker 2: Do you pay the congestion tax? Or who figure out 465 00:22:47,960 --> 00:22:53,880 Speaker 2: get around that? It's tough. It's tough, absolutely superb But folks, 466 00:22:53,960 --> 00:22:57,040 Speaker 2: I hope you love this. Somebody said, Lisa or Paul 467 00:22:57,119 --> 00:22:59,560 Speaker 2: came to the rescue and so get some geek on 468 00:22:59,720 --> 00:23:03,320 Speaker 2: all the data center elector stuff. Andrew Gilbert, did you 469 00:23:03,400 --> 00:23:04,600 Speaker 2: do take thermodynamics? 470 00:23:04,640 --> 00:23:05,600 Speaker 10: And I did not. 471 00:23:05,680 --> 00:23:06,879 Speaker 6: I'm not bright enough for that stuff. 472 00:23:07,160 --> 00:23:07,480 Speaker 2: That's all. 473 00:23:08,840 --> 00:23:09,399 Speaker 4: He's a banker. 474 00:23:10,640 --> 00:23:13,760 Speaker 2: Andrew Gilbert, thank you so much. With ECP, we'll do 475 00:23:13,880 --> 00:23:16,399 Speaker 2: This again is the story, huge story. 476 00:23:21,680 --> 00:23:25,560 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 477 00:23:25,600 --> 00:23:28,560 Speaker 1: starting at seven am Eastern on Apple Corplay. 478 00:23:28,160 --> 00:23:30,560 Speaker 8: And Android Auto with the Bloomberg Business app. 479 00:23:30,680 --> 00:23:33,520 Speaker 1: You can also watch us live every weekday on YouTube 480 00:23:33,720 --> 00:23:35,760 Speaker 1: and always on the Bloomberg terminal. 481 00:23:36,080 --> 00:23:38,800 Speaker 2: We are honored to bring you the nation's expert in 482 00:23:38,920 --> 00:23:44,000 Speaker 2: civics or textbooks are absolutely foundational. Wendy Schiller is professor 483 00:23:44,040 --> 00:23:47,320 Speaker 2: at Brown University, the Tubyne Center and such. Wendy, so 484 00:23:47,480 --> 00:23:51,639 Speaker 2: honored to have you here. The document is incredibly detailed 485 00:23:51,680 --> 00:23:54,960 Speaker 2: for a hack like me. Halfway through on page twenty 486 00:23:55,080 --> 00:23:59,639 Speaker 2: five discussion, they go right to the Shiller matter. They 487 00:23:59,760 --> 00:24:04,320 Speaker 2: go right back to seventeen eighty eight, James Madison, Federalists 488 00:24:04,840 --> 00:24:10,440 Speaker 2: number forty eight. Where's the legislature? Whatever you believe in, folks, 489 00:24:10,520 --> 00:24:14,639 Speaker 2: whatever the issue is, pro Trump, anti Trump, etc. Wendy Schiller, 490 00:24:14,960 --> 00:24:17,720 Speaker 2: where is the legislature in this tariff battle? 491 00:24:18,160 --> 00:24:21,800 Speaker 10: Well, it's fascinating that the court, this sort of structure 492 00:24:21,920 --> 00:24:26,800 Speaker 10: for tariff courts, has now intervened and said these are illegal. 493 00:24:27,000 --> 00:24:30,520 Speaker 10: You would have thought the Congress with you know, tariffs 494 00:24:30,600 --> 00:24:34,600 Speaker 10: are import taxes. Congress, particularly the House of Representatives have 495 00:24:34,640 --> 00:24:39,560 Speaker 10: a constitutional authority to generate revenue and to authorize spending. 496 00:24:40,040 --> 00:24:43,680 Speaker 10: Only the House can initiate that, and so they do 497 00:24:43,960 --> 00:24:48,040 Speaker 10: have jurisdiction over tariffs. And the president can suspend the rules, 498 00:24:48,320 --> 00:24:52,200 Speaker 10: you know, indefinitely if he so chooses. But the idea 499 00:24:52,480 --> 00:24:54,760 Speaker 10: was that this is just for an emergency and that 500 00:24:54,880 --> 00:24:57,920 Speaker 10: the power really rests with Congress. But the Republican dominated 501 00:24:58,000 --> 00:25:01,200 Speaker 10: House and Senate has chos and to let the president 502 00:25:01,400 --> 00:25:03,800 Speaker 10: extend this authority literally. 503 00:25:03,640 --> 00:25:04,480 Speaker 8: Chosen to do that. 504 00:25:04,960 --> 00:25:07,119 Speaker 10: They could have repriked it earlier this year, but they didn't. 505 00:25:07,520 --> 00:25:10,920 Speaker 10: So this is really fascinating that now the court that 506 00:25:11,080 --> 00:25:13,679 Speaker 10: is part of the trade, international trade and domestic trade 507 00:25:13,760 --> 00:25:17,400 Speaker 10: system has said no, these are illegal. Where is Congress? 508 00:25:17,880 --> 00:25:20,320 Speaker 2: What will the appeal process looked like? Peter Navarro with 509 00:25:20,440 --> 00:25:22,640 Speaker 2: this year in an hour and a half from sixteen 510 00:25:22,720 --> 00:25:28,119 Speaker 2: hundred Pennsylvania Avenue Professor Schuler, Navarro's going to be apoplectic 511 00:25:28,520 --> 00:25:32,960 Speaker 2: over this. Who does the Trump administration appeal to? Who 512 00:25:33,040 --> 00:25:33,840 Speaker 2: are those guys? 513 00:25:34,560 --> 00:25:37,000 Speaker 10: Well, that's the big question mark, I mean everything. This 514 00:25:37,119 --> 00:25:40,440 Speaker 10: is sort of an embedded government structure. So you know, 515 00:25:40,560 --> 00:25:42,639 Speaker 10: when you think about the final word, who has the 516 00:25:42,680 --> 00:25:45,200 Speaker 10: final word? And the Trump administration is not that interested 517 00:25:45,720 --> 00:25:49,320 Speaker 10: in any other structure in the American piblical system having 518 00:25:49,480 --> 00:25:50,560 Speaker 10: of power over them. 519 00:25:51,080 --> 00:25:52,280 Speaker 2: You know, does everything go to. 520 00:25:52,320 --> 00:25:56,240 Speaker 10: The Supreme Court? And the Supreme Court is interesting to watch. 521 00:25:56,359 --> 00:25:58,919 Speaker 10: We have a lot of decisions coming down in June 522 00:25:59,240 --> 00:26:02,080 Speaker 10: that we can expect, and you know, where do they 523 00:26:02,200 --> 00:26:05,680 Speaker 10: reign in executive power? And the important thing with the 524 00:26:05,680 --> 00:26:08,200 Speaker 10: Supreme Court is to make sure this isn't about Donald Trump. 525 00:26:08,520 --> 00:26:11,400 Speaker 10: This is about the balance of power in the system itself. 526 00:26:11,840 --> 00:26:15,320 Speaker 10: So that's where the education on tariffs lie. In immigration, 527 00:26:15,480 --> 00:26:18,000 Speaker 10: and we've seen the Court say to the President and Congress. 528 00:26:18,440 --> 00:26:21,760 Speaker 10: Congress has authority to make the laws on immigration, make 529 00:26:21,840 --> 00:26:25,560 Speaker 10: the laws. The president cannot just create immigration law. So 530 00:26:25,880 --> 00:26:28,640 Speaker 10: is that the same thing that will be applied to tariffs. 531 00:26:28,760 --> 00:26:30,360 Speaker 10: We're probably about to find out. 532 00:26:30,680 --> 00:26:32,919 Speaker 4: So, Wendy, what happens in the interim here? I mean, 533 00:26:33,000 --> 00:26:36,280 Speaker 4: I feel like the United States negotiating with dozens of 534 00:26:36,359 --> 00:26:41,000 Speaker 4: countries over tariffs. What do I do if I'm I 535 00:26:41,040 --> 00:26:43,560 Speaker 4: don't know, China, Canada, Mexico, What do I do now 536 00:26:43,600 --> 00:26:44,120 Speaker 4: with this ruling? 537 00:26:44,600 --> 00:26:45,600 Speaker 2: Well, I mean, when you think. 538 00:26:45,520 --> 00:26:47,800 Speaker 10: About the other countries, she also think about small businesses. 539 00:26:48,240 --> 00:26:50,440 Speaker 10: Rhode Island is to state with a disproportionate amount of 540 00:26:50,480 --> 00:26:51,520 Speaker 10: small business owners. 541 00:26:51,920 --> 00:26:54,480 Speaker 8: How do they plan? You know, are you paying the tax? 542 00:26:54,520 --> 00:26:56,040 Speaker 10: Are you're not paying the attacks? And I call it 543 00:26:56,080 --> 00:26:58,600 Speaker 10: attacks because it is a tax, a tariff. 544 00:26:58,840 --> 00:26:59,480 Speaker 6: You know, what do you do? 545 00:26:59,560 --> 00:27:00,480 Speaker 10: Do you reach your prices? 546 00:27:00,560 --> 00:27:02,080 Speaker 2: Now? You know? How much do you order? 547 00:27:02,200 --> 00:27:04,560 Speaker 10: What do we think about the economy? It creates and 548 00:27:04,680 --> 00:27:08,439 Speaker 10: generates of course uncertainty. We saw the markets react badly 549 00:27:08,920 --> 00:27:12,200 Speaker 10: to major tariffs, then they come down. Now the market 550 00:27:12,320 --> 00:27:15,000 Speaker 10: is settled, and now there's continued uncertainty. So if you're 551 00:27:15,080 --> 00:27:17,520 Speaker 10: Navarro and you want to make the argument that government 552 00:27:17,600 --> 00:27:20,040 Speaker 10: that businesses should invest in the United States, they need 553 00:27:20,200 --> 00:27:24,440 Speaker 10: a stable, consistent business environment. And right now the trumpinstration 554 00:27:24,560 --> 00:27:27,880 Speaker 10: is not providing a stable and consistent business environment. 555 00:27:28,520 --> 00:27:31,200 Speaker 4: How how hard do you think the Trump administration will 556 00:27:31,240 --> 00:27:36,240 Speaker 4: fight this court ruling and fight for its tariff mandates. 557 00:27:37,240 --> 00:27:39,480 Speaker 10: The instinct to fight comes straight from the top. 558 00:27:39,640 --> 00:27:39,800 Speaker 2: Yep. 559 00:27:40,080 --> 00:27:43,159 Speaker 10: Trump is a fighter and he doesn't like limits on 560 00:27:43,320 --> 00:27:46,399 Speaker 10: his power. You know, he could be talked into lowering them, 561 00:27:46,440 --> 00:27:49,639 Speaker 10: and he has been talked into lowering them. And so 562 00:27:49,880 --> 00:27:52,359 Speaker 10: when you think about this, the president will fight for 563 00:27:52,480 --> 00:27:56,879 Speaker 10: the sake of retaining executive power, and Congress has to 564 00:27:56,920 --> 00:28:00,320 Speaker 10: send him a signal eventually, but they aren't acting on that. Again, 565 00:28:00,320 --> 00:28:02,800 Speaker 10: when we look at this tax bill, once it's out 566 00:28:02,840 --> 00:28:05,840 Speaker 10: of the way, what does Conger doud reserve itself. I 567 00:28:05,880 --> 00:28:08,640 Speaker 10: don't have great expectations for Congress to reserve itself once 568 00:28:08,680 --> 00:28:10,800 Speaker 10: this tax bill is done. I think the Republicans realize 569 00:28:10,960 --> 00:28:12,640 Speaker 10: that's not the only thing they're gonna get done this year. 570 00:28:12,760 --> 00:28:16,120 Speaker 2: And your commute across the nation. A hugely eventful Thursday 571 00:28:16,200 --> 00:28:18,800 Speaker 2: with legal opinions which will brief you on a number 572 00:28:18,840 --> 00:28:22,080 Speaker 2: of times. Yere across the morning. Good Morning on YouTube 573 00:28:22,160 --> 00:28:25,760 Speaker 2: worldwide as well. Wendy Schiller of Brown University is with 574 00:28:25,920 --> 00:28:28,600 Speaker 2: us today. Wendy, I'm just going to cherry pick here. 575 00:28:28,640 --> 00:28:32,119 Speaker 2: And a gentleman from New Jersey, Samuel Alito, is on 576 00:28:32,240 --> 00:28:36,680 Speaker 2: the Supreme Court. Let's assume if it's a decision of 577 00:28:37,600 --> 00:28:40,240 Speaker 2: eight to one, seven to two, nine to one, whatever, 578 00:28:40,400 --> 00:28:44,720 Speaker 2: ninety two, three four, Alito's leading a certain charge to 579 00:28:44,880 --> 00:28:49,280 Speaker 2: support the executive branch. Describe the thinking of the people 580 00:28:49,720 --> 00:28:53,400 Speaker 2: like Judge Alito, who says, wait, you three judge, Court, 581 00:28:53,760 --> 00:29:00,160 Speaker 2: you can't do that. Describe Alito's federalists and Madisonian vial me. 582 00:29:00,240 --> 00:29:02,280 Speaker 10: When you look at Alito and Thomas, they're different, I 583 00:29:02,360 --> 00:29:05,600 Speaker 10: think in the way they vote a lot similarly a 584 00:29:05,680 --> 00:29:08,560 Speaker 10: lot of the time. But Alito truly believes that the 585 00:29:08,840 --> 00:29:11,959 Speaker 10: entire apparatus of the federal government is far too large 586 00:29:12,400 --> 00:29:16,600 Speaker 10: and is completely inconsistent with the constitutional structure and the 587 00:29:16,720 --> 00:29:20,440 Speaker 10: intent of the federal government as it was created, which 588 00:29:20,520 --> 00:29:23,760 Speaker 10: was basically to protect the national defenses and allow an 589 00:29:23,800 --> 00:29:28,120 Speaker 10: economy to flourish, but basically let the original thirteen colonies 590 00:29:28,560 --> 00:29:30,400 Speaker 10: live the way they were. They were very different from 591 00:29:30,440 --> 00:29:32,960 Speaker 10: each other when they entered into the Union. And so 592 00:29:33,360 --> 00:29:37,040 Speaker 10: his argument is, nobody ever built, nobody ever intended for 593 00:29:37,120 --> 00:29:39,240 Speaker 10: this to be so big, nobody wanted it to bill 594 00:29:39,320 --> 00:29:42,920 Speaker 10: out this large. So I'm going to take every opportunity 595 00:29:43,360 --> 00:29:46,880 Speaker 10: to basically reduce the scope of the government. And what 596 00:29:47,040 --> 00:29:50,960 Speaker 10: he believes is that Congress drives the size of the 597 00:29:51,000 --> 00:29:54,240 Speaker 10: federal government, and not the President, that the President executes, 598 00:29:54,280 --> 00:29:56,560 Speaker 10: but that the president can in fact reduce the size 599 00:29:56,560 --> 00:29:57,000 Speaker 10: of the government. 600 00:29:57,120 --> 00:29:58,640 Speaker 2: This is so important, I got to squeeze it in, 601 00:29:58,760 --> 00:30:02,200 Speaker 2: Professor Schuller, I look at a three judge court, Reagan, Trump, 602 00:30:02,360 --> 00:30:07,600 Speaker 2: what was it? Obama? Reagan Trump Obama judges. Nobody's talking 603 00:30:07,720 --> 00:30:11,320 Speaker 2: a regionalist theory here. They're just talking nuts and bolts 604 00:30:11,600 --> 00:30:15,000 Speaker 2: of a nineteen seventy seven agreement. And the huge detail 605 00:30:15,080 --> 00:30:17,840 Speaker 2: in their professionalism is this going to just go back 606 00:30:17,880 --> 00:30:21,240 Speaker 2: to originalist theory a la Thomas and Alito and what 607 00:30:21,440 --> 00:30:22,720 Speaker 2: President Trump supports. 608 00:30:23,120 --> 00:30:25,200 Speaker 10: The problem for Thomas and Aldo to do that is 609 00:30:25,240 --> 00:30:28,400 Speaker 10: that original theory literally in not only the Federalist papers, 610 00:30:28,440 --> 00:30:31,800 Speaker 10: but the Constitution itself, is that the House controls tariff policy. 611 00:30:32,120 --> 00:30:34,120 Speaker 10: That you can't just wake up in the morning and 612 00:30:34,160 --> 00:30:36,200 Speaker 10: say I'm going to impost one hundred and thirty percent 613 00:30:36,360 --> 00:30:38,840 Speaker 10: or forty five percent on an individual country if you're 614 00:30:38,840 --> 00:30:41,800 Speaker 10: the president of the United States, only under extraordinary circumstances. 615 00:30:42,040 --> 00:30:44,200 Speaker 10: And the Constitution and the founders are very clear that 616 00:30:44,280 --> 00:30:48,120 Speaker 10: when you execute these powers as president in extraordinary circumstances, 617 00:30:48,320 --> 00:30:51,480 Speaker 10: those circumstances have to be extraordinary. So this is the 618 00:30:51,520 --> 00:30:54,680 Speaker 10: problem for Ledo on Thomason. Goes completely against their theory 619 00:30:55,000 --> 00:30:58,080 Speaker 10: of originalism to put all this power and opportunity in 620 00:30:58,160 --> 00:31:00,960 Speaker 10: the president's hands, and the Constitution that's quite explicit that 621 00:31:01,080 --> 00:31:03,800 Speaker 10: it should rest with the Congress, particularly the House represent. 622 00:31:03,680 --> 00:31:05,800 Speaker 2: I can't Imagine your day, Wendy Show, Thank you so 623 00:31:05,920 --> 00:31:08,760 Speaker 2: much for being with us this morning with Brown University. 624 00:31:09,360 --> 00:31:13,280 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 625 00:31:13,320 --> 00:31:16,200 Speaker 1: starting at seven am Eastern on Apple, Cocklay. 626 00:31:15,840 --> 00:31:18,240 Speaker 8: And Android Auto with the Bloomberg Business App. 627 00:31:18,360 --> 00:31:21,360 Speaker 1: You can also listen live on Amazon Alexa from our 628 00:31:21,400 --> 00:31:25,520 Speaker 1: flagship New York station, Just say Alexa Play Bloomberg eleven 629 00:31:25,640 --> 00:31:26,800 Speaker 1: thirty Lisa Matteo. 630 00:31:26,920 --> 00:31:29,360 Speaker 2: Now with the newspapers, what do you happen? 631 00:31:29,360 --> 00:31:31,680 Speaker 7: All right, I'm starting with this Wall Street Journal exclusive. 632 00:31:32,080 --> 00:31:35,560 Speaker 7: This is about Paramount Global. They're offering reportedly offering President 633 00:31:35,600 --> 00:31:38,040 Speaker 7: Trump fifteen million dollars to settle that lawsuit he had 634 00:31:38,080 --> 00:31:41,520 Speaker 7: against Paramount CBS News, But sources are telling the journal 635 00:31:41,560 --> 00:31:44,320 Speaker 7: that the President feels it's not enough. He wants more 636 00:31:44,400 --> 00:31:47,600 Speaker 7: than twenty five million. He also reportedly wants an apology 637 00:31:47,680 --> 00:31:51,720 Speaker 7: from CBS. If you remember that lawsuit, it was it 638 00:31:51,800 --> 00:31:54,720 Speaker 7: all surrounds how the network supposedly edited a sixty minutes 639 00:31:54,760 --> 00:31:58,000 Speaker 7: interview with Kamala Harris to make her sound better. CBS 640 00:31:58,080 --> 00:32:00,560 Speaker 7: says that's not true, but they're all also saying that 641 00:32:00,840 --> 00:32:04,760 Speaker 7: the President's team has dreatened another lawsuit against CBS related 642 00:32:04,800 --> 00:32:08,400 Speaker 7: to bias on its news coverage. But there's supposed to 643 00:32:08,440 --> 00:32:11,959 Speaker 7: be a session today like where this is unprecedented. 644 00:32:12,040 --> 00:32:15,080 Speaker 2: I mean, isn't CBS supposed to fight back? Is the news? 645 00:32:15,200 --> 00:32:17,000 Speaker 4: The reason they're not fighting back is they have a 646 00:32:17,080 --> 00:32:19,240 Speaker 4: planned merger with Skydance Media and they want. 647 00:32:19,120 --> 00:32:19,680 Speaker 2: That to go through. 648 00:32:19,760 --> 00:32:23,600 Speaker 4: They need the FCC approval and presumably there's some concerns 649 00:32:23,640 --> 00:32:25,960 Speaker 4: that the government will use this suit as a reason 650 00:32:26,040 --> 00:32:29,360 Speaker 4: not to approve the deal. Sherry Redstone needs the merger 651 00:32:29,400 --> 00:32:31,200 Speaker 4: to go through so she can get paid out. It's 652 00:32:31,200 --> 00:32:33,720 Speaker 4: as simple as that. So it's uh, you know, they'll 653 00:32:33,840 --> 00:32:34,360 Speaker 4: come to something. 654 00:32:34,520 --> 00:32:37,640 Speaker 2: We've seen some just point out separate from this news. 655 00:32:37,680 --> 00:32:39,720 Speaker 2: We've seen resignations at CBS. 656 00:32:39,880 --> 00:32:40,680 Speaker 6: Yeah, I mean, yep. 657 00:32:40,800 --> 00:32:42,320 Speaker 2: There's a lot, a lot going on. 658 00:32:42,440 --> 00:32:44,720 Speaker 4: There, a lot going on there, and it's all because 659 00:32:44,880 --> 00:32:47,520 Speaker 4: they need to get this deal approved and get it through. 660 00:32:48,200 --> 00:32:51,440 Speaker 4: So it's all about money as it just as it 661 00:32:51,480 --> 00:32:51,920 Speaker 4: always is. 662 00:32:52,120 --> 00:32:55,400 Speaker 7: Neclas Okay, all right, we'll take you to luxury okay, 663 00:32:55,720 --> 00:32:58,160 Speaker 7: lvmh Okay. They said they could increase the price bits 664 00:32:58,160 --> 00:33:01,120 Speaker 7: goods by about three percent to office at tariffs. But 665 00:33:01,280 --> 00:33:04,120 Speaker 7: there are two things that they say they cannot raise 666 00:33:04,160 --> 00:33:07,360 Speaker 7: a price on and that is cognac and lower priced 667 00:33:07,520 --> 00:33:09,360 Speaker 7: beauty products, the lower priced end. 668 00:33:09,960 --> 00:33:10,040 Speaker 2: Uh. 669 00:33:10,160 --> 00:33:13,400 Speaker 7: They say things like jewelry, those high end jewelry they 670 00:33:13,480 --> 00:33:17,520 Speaker 7: can withstand the price increases because their buyers can take 671 00:33:17,560 --> 00:33:18,600 Speaker 7: on the price increases. 672 00:33:19,280 --> 00:33:19,800 Speaker 8: But they've had a. 673 00:33:19,800 --> 00:33:22,560 Speaker 7: Tough time with the alcohol sales. Apparently the Konnak Spirits 674 00:33:22,600 --> 00:33:26,120 Speaker 7: division they've dipped in the past year. They're selling fewer 675 00:33:26,240 --> 00:33:28,600 Speaker 7: champagne bottles on top of it too, so they're saying 676 00:33:28,720 --> 00:33:29,920 Speaker 7: those are the things they can't. 677 00:33:29,760 --> 00:33:30,760 Speaker 5: I don't think I've ever had. 678 00:33:30,880 --> 00:33:35,080 Speaker 4: Cognac is a variety of brandy named after the Commune 679 00:33:35,200 --> 00:33:36,560 Speaker 4: of Cognac, France. 680 00:33:37,360 --> 00:33:40,080 Speaker 6: All right, it's not bad, Yeah, yes, Cognac. 681 00:33:40,520 --> 00:33:42,400 Speaker 7: I did a little Hennessy sometimes. 682 00:33:46,640 --> 00:33:47,120 Speaker 6: In the desk. 683 00:33:47,600 --> 00:33:49,280 Speaker 4: It's the Hennessy Cognac, all. 684 00:33:49,240 --> 00:33:56,720 Speaker 7: Right, it has and Champagne. 685 00:33:56,840 --> 00:33:58,600 Speaker 2: I can't remember the name of the company now, but 686 00:33:58,680 --> 00:34:02,640 Speaker 2: it's a small, secure French thing, and like one third 687 00:34:02,680 --> 00:34:05,760 Speaker 2: of their business is Cognac or whatever. And it ain't happening. 688 00:34:06,000 --> 00:34:11,239 Speaker 2: I mean, it's not just LV, it's overall. So they're 689 00:34:11,280 --> 00:34:16,000 Speaker 2: not lowering the price of all the merch that sundry Keenes. 690 00:34:15,719 --> 00:34:19,080 Speaker 7: Look at of the cognac and the spirits of the 691 00:34:19,160 --> 00:34:20,959 Speaker 7: other high end jewelry and that kind of stuff. 692 00:34:21,320 --> 00:34:23,640 Speaker 2: Lewis Viewton shoes too much for the prom. 693 00:34:24,400 --> 00:34:29,239 Speaker 7: Yes, definitely, that was a discussions. You can't even see 694 00:34:29,280 --> 00:34:32,359 Speaker 7: the feet with the dress, so don't even think about it. Next, 695 00:34:33,000 --> 00:34:35,120 Speaker 7: we've been talking a lot about AI and will they 696 00:34:35,239 --> 00:34:38,759 Speaker 7: replace jobs, right, so this story about salesforce kind of 697 00:34:38,800 --> 00:34:40,920 Speaker 7: puts that into perspective a little bit. They said they're 698 00:34:40,960 --> 00:34:44,240 Speaker 7: reducing the hiring for some roles because of its AI tools. 699 00:34:44,320 --> 00:34:47,239 Speaker 7: So its CFO gave this example and she said five 700 00:34:47,360 --> 00:34:50,440 Speaker 7: hundred customer service workers will be moved to different positions 701 00:34:50,480 --> 00:34:53,520 Speaker 7: within the company and that'll save them about fifty million dollars. 702 00:34:54,560 --> 00:34:57,520 Speaker 7: Also said they're hiring fewer engineers on top of it. 703 00:34:57,880 --> 00:34:59,440 Speaker 7: They say they hope it's going to make their staff 704 00:34:59,480 --> 00:35:02,160 Speaker 7: more productive. But at the same time, where they're increasing 705 00:35:02,280 --> 00:35:05,040 Speaker 7: are the ranks of its salesforce. So that's where they're 706 00:35:05,040 --> 00:35:07,080 Speaker 7: starting to see the difference. But we've seen it, you know, 707 00:35:07,239 --> 00:35:09,040 Speaker 7: different companies like Microsoft told. 708 00:35:09,520 --> 00:35:12,400 Speaker 4: Offspring number three, get to a business where you have 709 00:35:12,480 --> 00:35:14,040 Speaker 4: a revenue number next to your. 710 00:35:14,000 --> 00:35:14,880 Speaker 2: Name, that's it. 711 00:35:15,040 --> 00:35:18,239 Speaker 4: That's my strategy, that's my advice. You know, get to 712 00:35:18,320 --> 00:35:19,680 Speaker 4: a business, and so salesforce? 713 00:35:19,840 --> 00:35:22,160 Speaker 2: Do you do you believe equipment? We don't have the 714 00:35:22,200 --> 00:35:24,680 Speaker 2: time here, but like all these jobs are going to 715 00:35:24,920 --> 00:35:26,320 Speaker 2: go away, I just don't buy it. 716 00:35:26,719 --> 00:35:28,279 Speaker 4: Well, I think a lot of them are. I mean, 717 00:35:28,320 --> 00:35:30,279 Speaker 4: I just think of my investment banking business. I mean, 718 00:35:30,520 --> 00:35:33,279 Speaker 4: do I need three analysts staffed on a deal to 719 00:35:33,440 --> 00:35:36,719 Speaker 4: draft inspect models. I don't think so. 720 00:35:37,239 --> 00:35:37,840 Speaker 6: I don't think so. 721 00:35:38,040 --> 00:35:39,319 Speaker 4: So I think there's gonna be an issue there. 722 00:35:39,239 --> 00:35:42,560 Speaker 2: The newspaper SAIDY Lisa Matteo, thank you so much. 723 00:35:43,120 --> 00:35:47,920 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 724 00:35:48,080 --> 00:35:52,360 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 725 00:35:52,520 --> 00:35:55,480 Speaker 1: seven to ten am Easter and on Bloomberg dot com, 726 00:35:55,880 --> 00:35:59,640 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 727 00:36:00,040 --> 00:36:03,080 Speaker 1: You can also watch us live every weekday on YouTube 728 00:36:03,400 --> 00:36:05,360 Speaker 1: and always on the Bloomberg terminal