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 --> 00:00:27,000 Speaker 1: us live on YouTube. 6 00:00:27,240 --> 00:00:31,960 Speaker 2: DA Davidson and in charge of all of institutional research, 7 00:00:32,040 --> 00:00:35,040 Speaker 2: Gil Laura, joins us this morning. It's on Tech and 8 00:00:35,080 --> 00:00:39,360 Speaker 2: on Nvidian and you know all the rest of it. Gil, 9 00:00:39,560 --> 00:00:42,960 Speaker 2: you follow thirty companies. You got a very measured out look. 10 00:00:43,040 --> 00:00:46,640 Speaker 2: Fourteen buy sixteen holds off the Bloomberg this morning, What 11 00:00:46,840 --> 00:00:51,960 Speaker 2: is the character of your enthusiasm on Nvidia given fourteen 12 00:00:52,040 --> 00:00:53,960 Speaker 2: buy sixteen, hold zero cells. 13 00:00:54,200 --> 00:00:56,800 Speaker 3: They're doing very well and they're set up to do 14 00:00:56,920 --> 00:00:59,319 Speaker 3: well this year. But this may be as good as 15 00:00:59,360 --> 00:01:04,400 Speaker 3: it gets for video. Their big customers have increased spend 16 00:01:04,440 --> 00:01:08,160 Speaker 3: the most into the fourth quarter of last year. They're 17 00:01:08,200 --> 00:01:11,679 Speaker 3: probably going to start moderating the growth and spend this year, 18 00:01:11,800 --> 00:01:14,600 Speaker 3: so this may be as good as it gets for Nvidia. 19 00:01:14,800 --> 00:01:17,280 Speaker 2: Off the screen, you got a neutral on in video, 20 00:01:17,400 --> 00:01:22,160 Speaker 2: neutral on Salesforce, Nutrol on Zoom. I'm loving this neutral 21 00:01:22,240 --> 00:01:25,440 Speaker 2: on five to nine Away we go what's a neutral? 22 00:01:25,640 --> 00:01:28,640 Speaker 2: Should I hold the stack? Do I want to find 23 00:01:28,680 --> 00:01:31,119 Speaker 2: something else to do? What does neutral mean? Gilherty? 24 00:01:32,520 --> 00:01:35,920 Speaker 3: There's better things to do, so if we're to look, 25 00:01:36,120 --> 00:01:40,959 Speaker 3: last night was a great view of what the AI 26 00:01:41,000 --> 00:01:43,760 Speaker 3: trade is, right and video was the AI trade a 27 00:01:43,760 --> 00:01:47,360 Speaker 3: couple of years ago, and last year Salesforce is not 28 00:01:47,600 --> 00:01:54,279 Speaker 3: quite ready for AI. Snowflake was a fantastic report. Infrastructure 29 00:01:54,400 --> 00:01:58,320 Speaker 3: software is incredibly important for companies to be able to 30 00:01:58,440 --> 00:02:02,640 Speaker 3: run AI application. They need to get their data ready 31 00:02:03,120 --> 00:02:06,280 Speaker 3: and Snowflake is leading the way in terms of doing that. 32 00:02:06,360 --> 00:02:10,640 Speaker 3: They have the main analytical database, the leading product, and 33 00:02:10,720 --> 00:02:13,360 Speaker 3: so companies are using them to put all the data 34 00:02:13,400 --> 00:02:17,240 Speaker 3: in one place so they can even start building AI applications. 35 00:02:17,560 --> 00:02:22,080 Speaker 3: That's why Snowflake did well. That's why we like infrastructure 36 00:02:22,120 --> 00:02:28,079 Speaker 3: software companies like Snowflake, Data Dog, Dina, trace Jyfrog. We 37 00:02:28,200 --> 00:02:30,640 Speaker 3: like half the companies. We just prefer them over the 38 00:02:30,639 --> 00:02:31,200 Speaker 3: other half. 39 00:02:31,280 --> 00:02:35,160 Speaker 2: All these names, Detroit, Lions, blue Light, all these names. 40 00:02:35,680 --> 00:02:39,040 Speaker 2: Is it like two thousand reducts? It sounds like a 41 00:02:39,120 --> 00:02:41,120 Speaker 2: Super Bowl list from two. 42 00:02:40,960 --> 00:02:42,240 Speaker 4: Thousand exactly right? 43 00:02:42,360 --> 00:02:45,840 Speaker 5: Hey, Gil, we just had President Trump put out a 44 00:02:45,880 --> 00:02:51,560 Speaker 5: tweet saying that these tariffs are going into place, including China. 45 00:02:51,639 --> 00:02:52,680 Speaker 4: Here, how does the. 46 00:02:52,600 --> 00:02:59,680 Speaker 5: Tech world view a world of increasing tariffs, Well. 47 00:02:59,560 --> 00:03:01,920 Speaker 3: It depends on if you're selling hard goods or if 48 00:03:01,919 --> 00:03:07,200 Speaker 3: you're selling software. If you're selling hardware, let's say in Nvidia, 49 00:03:07,360 --> 00:03:11,040 Speaker 3: this makes your life a little bit more complicated. Higher 50 00:03:11,080 --> 00:03:15,760 Speaker 3: tariff borders between the US and China, between China and Taiwan, 51 00:03:16,280 --> 00:03:20,960 Speaker 3: between Taiwan and where they source their materials, all those 52 00:03:21,000 --> 00:03:23,640 Speaker 3: types of tariffs will add up to make the product 53 00:03:23,720 --> 00:03:27,840 Speaker 3: more expensive. For the software companies, in the internet companies, 54 00:03:28,280 --> 00:03:31,160 Speaker 3: it'll be more subtle. Let's not forget part of the 55 00:03:31,200 --> 00:03:34,800 Speaker 3: reason we're talking about putting tariffs on Europe is that 56 00:03:34,880 --> 00:03:38,000 Speaker 3: the Europeans have made a habit of charging our big 57 00:03:38,040 --> 00:03:41,640 Speaker 3: technology companies billions of dollars at a time as quote 58 00:03:41,680 --> 00:03:47,200 Speaker 3: unquote penalties for whatever behavior they choose to penalize. So 59 00:03:47,680 --> 00:03:53,120 Speaker 3: as we escalate with Europe, those companies may suffer more. 60 00:03:53,160 --> 00:03:56,800 Speaker 3: As we escalate with China, Apple may get in the 61 00:03:56,840 --> 00:04:00,440 Speaker 3: crosshairs again. So it could have an impact, But it 62 00:04:00,480 --> 00:04:02,800 Speaker 3: really depends on how much follow through there is in 63 00:04:02,880 --> 00:04:08,000 Speaker 3: terms of tariffs and how combative our adversaries are going 64 00:04:08,040 --> 00:04:10,600 Speaker 3: to be. Once we do raise tariffs. 65 00:04:10,640 --> 00:04:14,120 Speaker 5: So if you're a Microsoft, how much attention are you 66 00:04:14,160 --> 00:04:18,400 Speaker 5: paying to what's happening in Washington, DC with tariffs? 67 00:04:20,200 --> 00:04:23,240 Speaker 3: A lot of attention again, especially as it has to 68 00:04:23,320 --> 00:04:27,240 Speaker 3: do with Europe. Again, the Europeans have fined Microsoft many times, 69 00:04:27,240 --> 00:04:31,600 Speaker 3: have extracted their penalties and fees out of Microsoft, and 70 00:04:31,880 --> 00:04:34,840 Speaker 3: they'll go right back to that. Well if they decide 71 00:04:34,880 --> 00:04:38,320 Speaker 3: that's a good way to retaliate against tariffs that we 72 00:04:38,360 --> 00:04:42,560 Speaker 3: put on European cars. Perhaps, So for all of these companies, 73 00:04:42,560 --> 00:04:46,159 Speaker 3: they're paying a lot of attention because on many of 74 00:04:46,160 --> 00:04:50,200 Speaker 3: these frontiers they are right in the crosshairs of retaliation. 75 00:04:51,680 --> 00:04:54,840 Speaker 5: So in the eleven o'clock hour, Gil Caroline Heide to 76 00:04:54,839 --> 00:04:57,600 Speaker 5: Bloomberg Television is going to be interviewing mister Jasse from Amazon. 77 00:04:59,040 --> 00:05:00,919 Speaker 5: What do you need to hear from mister Jesse in 78 00:05:00,920 --> 00:05:03,159 Speaker 5: the days and weeks to come Amazon, because I know 79 00:05:03,279 --> 00:05:04,880 Speaker 5: that's one of the names you have a buyer reading on. 80 00:05:06,920 --> 00:05:07,280 Speaker 2: Yeah. 81 00:05:07,320 --> 00:05:12,680 Speaker 3: So the progress they're making across the board is very impressive. 82 00:05:12,880 --> 00:05:17,240 Speaker 3: It's our favorite megacap pig because they're leading the way 83 00:05:17,360 --> 00:05:21,520 Speaker 3: in terms of facilitating enterprise AI because AWS is the 84 00:05:21,520 --> 00:05:24,799 Speaker 3: biggest hyperscaler. They're also going to have the biggest AI 85 00:05:24,920 --> 00:05:28,960 Speaker 3: business there. On the consumer side, the introd Alexa plus 86 00:05:29,040 --> 00:05:34,000 Speaker 3: yesterday have rufus on the shopping app so they're helping 87 00:05:34,160 --> 00:05:38,880 Speaker 3: consumers shop through better and better AI tools. And then 88 00:05:38,920 --> 00:05:42,599 Speaker 3: on the retail business they're doing well as the US 89 00:05:42,640 --> 00:05:46,800 Speaker 3: consumer holds up, the European consumer can possibly pick up. 90 00:05:47,160 --> 00:05:50,720 Speaker 3: And all these things feed into each other. The advertising 91 00:05:50,800 --> 00:05:54,920 Speaker 3: business is getting better with AI with more volume, so 92 00:05:55,000 --> 00:05:57,839 Speaker 3: that flywheel is working pretty well for Amazon right now. 93 00:05:57,960 --> 00:06:01,080 Speaker 2: How is their box business? See, people like you, Gil, 94 00:06:01,160 --> 00:06:04,560 Speaker 2: you never talk about you get a cardboard box? You know? 95 00:06:04,800 --> 00:06:07,119 Speaker 2: Did you like the new phone ones? Paul? They little 96 00:06:07,320 --> 00:06:08,160 Speaker 2: little thing you need? 97 00:06:08,200 --> 00:06:08,560 Speaker 4: All right? 98 00:06:08,839 --> 00:06:10,360 Speaker 2: You know? What do you what do you think? I mean? 99 00:06:10,440 --> 00:06:13,719 Speaker 2: Is a box business going to put the US Post Office, 100 00:06:13,800 --> 00:06:16,000 Speaker 2: FedEx and everybody else out of business? 101 00:06:18,560 --> 00:06:22,560 Speaker 3: The UPS and FedEx a few years ago when Amazon 102 00:06:22,680 --> 00:06:26,240 Speaker 3: came to them before it started doing its own delivery 103 00:06:26,440 --> 00:06:29,880 Speaker 3: and asked them for price concessions, and they said no. 104 00:06:30,520 --> 00:06:34,040 Speaker 3: And boy do they regret it, because now Amazon's already 105 00:06:34,040 --> 00:06:38,960 Speaker 3: surpassed UPS and will will soon make those two companies 106 00:06:39,400 --> 00:06:44,320 Speaker 3: smaller and smaller. They're they're making US postal service smaller. 107 00:06:45,400 --> 00:06:47,640 Speaker 3: I know the Amazon trucks at my house at least 108 00:06:47,640 --> 00:06:48,760 Speaker 3: two or three times a day. 109 00:06:48,920 --> 00:06:50,839 Speaker 2: I mean, it's great here. But you know, one of 110 00:06:50,839 --> 00:06:53,400 Speaker 2: the things you know, with Gil Lauria and d Davidson, folks, 111 00:06:53,400 --> 00:06:56,479 Speaker 2: we can do this because a really holistic view on 112 00:06:56,600 --> 00:07:01,440 Speaker 2: securities research. We were talking earlier to Carolina. She swears 113 00:07:01,440 --> 00:07:03,800 Speaker 2: they still got one day delivery in the United Kingdom. 114 00:07:03,839 --> 00:07:06,839 Speaker 2: Grant's tenzy waens. I mean at the distance from Carolina 115 00:07:06,880 --> 00:07:09,560 Speaker 2: Hie to John Faraow's house now England is like forty 116 00:07:09,640 --> 00:07:12,720 Speaker 2: two miles. But is one day delivery gone? That was 117 00:07:12,760 --> 00:07:16,400 Speaker 2: an experiment Giloria of years ago. Have they just given 118 00:07:16,440 --> 00:07:21,280 Speaker 2: that up quietly so they can profit? No, it's quite 119 00:07:21,320 --> 00:07:25,320 Speaker 2: the contrary. Delivery times they are still getting shorter, and 120 00:07:25,360 --> 00:07:29,960 Speaker 2: they are absolutely relentless about it. They are constantly adding 121 00:07:30,080 --> 00:07:36,040 Speaker 2: more fulfillment centers, last mile operations. They're still talking about 122 00:07:36,160 --> 00:07:40,920 Speaker 2: using drones. They are going to be relentless about shortening 123 00:07:41,000 --> 00:07:47,440 Speaker 2: delivery times and while keeping the delivery costs lower. They're 124 00:07:47,480 --> 00:07:50,360 Speaker 2: investing billions of dollars in it, and they're not going 125 00:07:50,400 --> 00:07:52,560 Speaker 2: to stop until we get everything we want the same 126 00:07:52,640 --> 00:07:55,760 Speaker 2: day we go to surveillance. How many boxes are at 127 00:07:55,760 --> 00:07:59,320 Speaker 2: the front door, correspond at Lisa Matteo, do you, Lisa, 128 00:07:59,360 --> 00:08:01,360 Speaker 2: I don't buy it. I don't see one day delivery 129 00:08:01,360 --> 00:08:02,880 Speaker 2: anymore at Amazon, do you. 130 00:08:03,080 --> 00:08:06,320 Speaker 4: I get a sad Yeah. Absolutely, that's where I live. 131 00:08:06,520 --> 00:08:10,200 Speaker 5: It could be just yeah, no, I mean you make 132 00:08:10,200 --> 00:08:12,120 Speaker 5: a phone call when you're doing your morning, you know, 133 00:08:12,280 --> 00:08:13,840 Speaker 5: run around during your morning towards by the time you 134 00:08:13,840 --> 00:08:15,920 Speaker 5: get back home and right there. 135 00:08:16,160 --> 00:08:19,480 Speaker 2: Okay, so that's Mayor Adam's fault. We'll talk to him about. 136 00:08:19,400 --> 00:08:24,120 Speaker 5: What's upper eastside things cans about four day delivery. It's 137 00:08:24,120 --> 00:08:25,720 Speaker 5: a whole third avenue taking over. 138 00:08:26,240 --> 00:08:27,800 Speaker 4: As John Tucker always reports to. 139 00:08:27,800 --> 00:08:31,400 Speaker 5: Us, Apple, Gil, you have a buy rating on Apple 140 00:08:31,720 --> 00:08:34,360 Speaker 5: if I'm an, If I'm Apple, I. 141 00:08:34,400 --> 00:08:36,400 Speaker 4: Still have to worry about China. 142 00:08:36,400 --> 00:08:39,520 Speaker 5: I get twenty percent of my revenue in China'm despite 143 00:08:39,520 --> 00:08:41,560 Speaker 5: what I'm trying to do when friendshuring and on shurn, 144 00:08:41,920 --> 00:08:45,839 Speaker 5: my supply chain is completely tied to China. Here, How 145 00:08:45,840 --> 00:08:48,440 Speaker 5: can I buy Apple stock if I've got that China 146 00:08:48,600 --> 00:08:50,040 Speaker 5: is still hanging over me. 147 00:08:51,400 --> 00:08:54,439 Speaker 3: Yeah, China is the big risk. It's it's the most 148 00:08:54,440 --> 00:08:58,160 Speaker 3: competitive market, it's the most dynamic market. And again it's 149 00:08:58,200 --> 00:09:03,720 Speaker 3: it gets ensnared in the UI. China dispute, trade dispute. 150 00:09:03,800 --> 00:09:06,480 Speaker 3: So it is a risk. It's down to fifteen percent, 151 00:09:06,640 --> 00:09:10,480 Speaker 3: it may go down to even less of Apple's revenue 152 00:09:10,520 --> 00:09:13,000 Speaker 3: going forward. And at the same time, Apple is investing 153 00:09:13,360 --> 00:09:17,240 Speaker 3: in the next break market, which is India, and they're 154 00:09:17,280 --> 00:09:19,920 Speaker 3: hoping to get over the next twenty thirty years the 155 00:09:19,960 --> 00:09:22,199 Speaker 3: same type of growth they've gone out of China over 156 00:09:22,240 --> 00:09:24,840 Speaker 3: the last twenty years, because China is not going to 157 00:09:24,880 --> 00:09:29,520 Speaker 3: be supportive of the growth story on the product side. 158 00:09:29,559 --> 00:09:32,520 Speaker 3: And then to your point, it's also a challenge in 159 00:09:32,600 --> 00:09:36,240 Speaker 3: terms of the supply chain. Apple has diversified away from 160 00:09:36,320 --> 00:09:41,600 Speaker 3: China largely, but again with a higher tariffs. Any goods 161 00:09:41,600 --> 00:09:46,400 Speaker 3: in service, any goods that get shipped anywhere in the world, 162 00:09:46,720 --> 00:09:49,000 Speaker 3: are going to be at risk of having higher costs. 163 00:09:49,960 --> 00:09:53,120 Speaker 5: All right, So stepping back, GIL, looking across all your 164 00:09:53,240 --> 00:09:56,640 Speaker 5: coverage and again cover you know thirty some odd names 165 00:09:56,640 --> 00:10:00,360 Speaker 5: in broad tech. Have we seen peak AI. 166 00:10:01,440 --> 00:10:03,160 Speaker 2: That's come up a couple of times today. 167 00:10:03,240 --> 00:10:06,400 Speaker 3: Yeah, it's important, not at all, not at all. We're 168 00:10:06,440 --> 00:10:09,000 Speaker 3: just getting started. AI is going to make all of 169 00:10:09,040 --> 00:10:12,280 Speaker 3: us more productive. It's going to be a contributor to 170 00:10:12,400 --> 00:10:16,440 Speaker 3: GDP growth. It's just not going to happen overnight. There's 171 00:10:16,480 --> 00:10:19,720 Speaker 3: going to be different waves of benefit. Again, the last 172 00:10:19,760 --> 00:10:24,640 Speaker 3: wave was Microsoft and Nvidia. Now the wave is infrastructure software. Again, 173 00:10:24,720 --> 00:10:28,040 Speaker 3: I highlighted Snowflake, but there's others. And then in two 174 00:10:28,160 --> 00:10:29,800 Speaker 3: or three years there's going to be a wave of 175 00:10:29,840 --> 00:10:34,680 Speaker 3: applications that take off and drive a lot of activity there, 176 00:10:35,320 --> 00:10:39,720 Speaker 3: including through the Apple ecosystem, which will make the iPhone 177 00:10:39,760 --> 00:10:45,120 Speaker 3: more valuable. Eventually, it'll be becomes so big that it'll 178 00:10:45,120 --> 00:10:48,400 Speaker 3: make all of us more productive. We'll all have personal 179 00:10:48,440 --> 00:10:52,720 Speaker 3: assistance that can help us at work, can help with 180 00:10:52,760 --> 00:10:56,360 Speaker 3: our personal lives. This future is coming, it's just not 181 00:10:56,480 --> 00:10:59,920 Speaker 3: going to happen overnight. And unfortunately we had some companies 182 00:11:00,080 --> 00:11:03,920 Speaker 3: raise expectations as if it's imminent, when in fact it'll 183 00:11:03,960 --> 00:11:05,920 Speaker 3: take a few more years before we see it in 184 00:11:06,080 --> 00:11:07,560 Speaker 3: everyday life all the time. 185 00:11:07,640 --> 00:11:11,000 Speaker 2: Yeah, that's absolutely brilliant. I mean, that's a very nice summary, Gilory. 186 00:11:11,000 --> 00:11:13,280 Speaker 2: That's why we're having you on here. But I don't 187 00:11:13,400 --> 00:11:16,439 Speaker 2: where's the proof of concept. I mean, give me one 188 00:11:17,160 --> 00:11:20,680 Speaker 2: infrastructure thing in the New York Tri state area. I mean, 189 00:11:21,160 --> 00:11:25,520 Speaker 2: is AI helping them land airplanes at EWR, is AI 190 00:11:25,760 --> 00:11:28,679 Speaker 2: helping with the building of the many tunnels under the 191 00:11:28,760 --> 00:11:32,720 Speaker 2: Hudson River, the Sweeney Tunnels. We're calling though mean where 192 00:11:32,840 --> 00:11:38,320 Speaker 2: Giloria is the first proof of concept of AI doing that. 193 00:11:39,720 --> 00:11:44,560 Speaker 3: Software code. Software engineers were, if you look two three 194 00:11:44,640 --> 00:11:48,280 Speaker 3: years ago, were in such short supply that the main 195 00:11:48,360 --> 00:11:50,959 Speaker 3: reason we didn't have advances in softwares we didn't have 196 00:11:51,080 --> 00:11:55,360 Speaker 3: enough software engineers. What's happening now is Generator of AI 197 00:11:55,480 --> 00:11:59,800 Speaker 3: is actually perfectly suited for software because it's a language 198 00:11:59,840 --> 00:12:03,679 Speaker 3: that easy to understand and easy to translate to. And 199 00:12:03,760 --> 00:12:07,560 Speaker 3: so we're having an explosion of software code development. It's 200 00:12:07,559 --> 00:12:09,920 Speaker 3: going to take a couple of years before we see 201 00:12:09,960 --> 00:12:12,720 Speaker 3: the results of it, but it's already starting to happen. 202 00:12:13,120 --> 00:12:16,320 Speaker 3: And those are the infrastructure software companies that we're talking 203 00:12:16,360 --> 00:12:19,800 Speaker 3: about again, names like get lab and JFrog are helping 204 00:12:19,840 --> 00:12:25,000 Speaker 3: develop more code. Snowflake is helping store these new applications. 205 00:12:25,480 --> 00:12:29,400 Speaker 3: That's already happening. That's why those companies are doing better 206 00:12:29,440 --> 00:12:33,360 Speaker 3: than other software companies right now. But it's going to 207 00:12:33,360 --> 00:12:35,800 Speaker 3: take time before we see it in our everyday life. 208 00:12:35,800 --> 00:12:39,960 Speaker 3: For now, we just have chatbots and Alexa plus ordering 209 00:12:40,800 --> 00:12:43,120 Speaker 3: April towels when you ask it to don't. 210 00:12:42,920 --> 00:12:45,679 Speaker 2: Be a stranger. This is really informative. Thank you so much, 211 00:12:45,720 --> 00:12:48,880 Speaker 2: gil Loria, with a nice mix of uys and neutrals. 212 00:12:49,000 --> 00:12:55,320 Speaker 2: We like to see that. On the sell side. 213 00:12:57,120 --> 00:13:00,720 Speaker 1: You're listening to the Bloomberg Surveillance podcast got us Live 214 00:13:00,760 --> 00:13:03,920 Speaker 1: weekday afternoons from seven to ten am Eastern Listen on 215 00:13:04,000 --> 00:13:07,680 Speaker 1: Applecarplay and Android Otto with the Bloomberg Business app, or 216 00:13:07,840 --> 00:13:09,280 Speaker 1: watch us Live on YouTube. 217 00:13:09,360 --> 00:13:11,720 Speaker 2: This is a joy in an important day to speak 218 00:13:11,760 --> 00:13:16,480 Speaker 2: to Wendy Schiller's professor at Brown University, but far more nationally, 219 00:13:17,040 --> 00:13:20,560 Speaker 2: and forget about the Republican Democrat thing. Just here is 220 00:13:20,640 --> 00:13:23,920 Speaker 2: our civics second paragraph. This happens to be from the 221 00:13:24,000 --> 00:13:28,720 Speaker 2: Washington Post, Professor Schiller. The brief administrative order, which did 222 00:13:28,760 --> 00:13:33,360 Speaker 2: not address the underlying legal issues, will allow time for 223 00:13:33,520 --> 00:13:38,760 Speaker 2: a full Supreme Court review. Professor Schiller, what should our 224 00:13:38,800 --> 00:13:43,959 Speaker 2: listeners either pro Trump, anti Trump, anti Democrat pro this 225 00:13:44,640 --> 00:13:49,320 Speaker 2: da What should we expect from Justice Roberts in the 226 00:13:49,360 --> 00:13:50,120 Speaker 2: Supreme Court? 227 00:13:51,440 --> 00:13:53,360 Speaker 6: Well, I mean, I think, Tom, I go all way 228 00:13:53,360 --> 00:13:55,160 Speaker 6: back to John Marshall. I mean, I really do think 229 00:13:55,160 --> 00:13:58,720 Speaker 6: about Marvey v. Madison. I think about crucial decisions that 230 00:13:58,800 --> 00:14:02,200 Speaker 6: the Court has made in history that shift the balance 231 00:14:02,240 --> 00:14:06,360 Speaker 6: of power across branches. And that's certainly what MARVV Medicine did, 232 00:14:06,440 --> 00:14:10,280 Speaker 6: elevating this I courts power and reducing president's power. Thomas 233 00:14:10,320 --> 00:14:13,040 Speaker 6: Jefferson was not happy about that. I think in this case, 234 00:14:13,160 --> 00:14:15,280 Speaker 6: this isn't just a one off. This isn't there's a 235 00:14:15,320 --> 00:14:18,600 Speaker 6: whole series of cases that will, in fact, you know, 236 00:14:18,720 --> 00:14:24,440 Speaker 6: affirm or restrain or expand the president's discretionary power over 237 00:14:24,480 --> 00:14:28,280 Speaker 6: the money that Congress appropriates across the board. It's not 238 00:14:28,360 --> 00:14:32,040 Speaker 6: just about aid, it's not just about DEI, It's not 239 00:14:32,080 --> 00:14:34,680 Speaker 6: about just a single thing. So this is a real 240 00:14:34,800 --> 00:14:37,480 Speaker 6: moment for Roberts, who's had a number of these really 241 00:14:37,520 --> 00:14:41,360 Speaker 6: important moments. The immunity decision obviously, but even going back 242 00:14:41,360 --> 00:14:44,640 Speaker 6: to Obamacare, you know, affirming the you know, Obamacare is 243 00:14:44,640 --> 00:14:47,600 Speaker 6: a program, but then also limiting the federal government's power 244 00:14:47,600 --> 00:14:50,560 Speaker 6: to be coercive in how it distributes money. And that's 245 00:14:50,680 --> 00:14:52,760 Speaker 6: this balancing act that Roberts is facing. 246 00:14:52,800 --> 00:14:55,040 Speaker 2: I think right now, let's take a given justice. I'm 247 00:14:55,040 --> 00:14:59,360 Speaker 2: going to go with Wizard White, Byron White, hugely respected 248 00:14:59,640 --> 00:15:03,200 Speaker 2: with the our Supreme Court history, legitimate college you have 249 00:15:03,280 --> 00:15:07,880 Speaker 2: to lead at Colorado, legitimate baseball draftee with the Pittsburgh Pirates. 250 00:15:08,200 --> 00:15:11,600 Speaker 2: He got to the Supreme Court, and he surprised those 251 00:15:11,800 --> 00:15:14,840 Speaker 2: people that thought Wizard White would do this, do this, 252 00:15:14,920 --> 00:15:18,000 Speaker 2: do this. Are we going to get the same surprise 253 00:15:18,440 --> 00:15:21,680 Speaker 2: from the more conservative members of the court or do 254 00:15:21,760 --> 00:15:24,160 Speaker 2: you suggest they'll go lockstep with a president. 255 00:15:25,880 --> 00:15:29,160 Speaker 6: I think they're probably literally starting to think about middle ground. 256 00:15:29,240 --> 00:15:32,280 Speaker 6: I don't know that they'll go completely lock step, but 257 00:15:32,360 --> 00:15:35,840 Speaker 6: there's a lot of room in this structure Articles one, two, 258 00:15:35,960 --> 00:15:38,760 Speaker 6: and even three of the Constitution to have the president 259 00:15:38,920 --> 00:15:42,280 Speaker 6: exert power. The difference today from any other Roman history 260 00:15:42,520 --> 00:15:45,440 Speaker 6: is the size and scope of the federal government. That's 261 00:15:45,560 --> 00:15:49,400 Speaker 6: the big new factor in the sense of this constitutional arrangement. 262 00:15:49,640 --> 00:15:51,480 Speaker 6: You know, they were writing Constitution for a president that 263 00:15:51,520 --> 00:15:54,760 Speaker 6: was overseeing a very tiny federal government, and that stayed 264 00:15:54,800 --> 00:15:57,720 Speaker 6: tiny for on more than one hundred years. So now 265 00:15:57,720 --> 00:16:00,600 Speaker 6: we've got something that affects everybody's daily life. You know, 266 00:16:00,640 --> 00:16:03,120 Speaker 6: what does that mean? How much responsibility does the president 267 00:16:03,200 --> 00:16:06,160 Speaker 6: have in power and how much does Congress have a 268 00:16:06,240 --> 00:16:08,400 Speaker 6: say in it? And this is going to be crucial 269 00:16:08,440 --> 00:16:10,960 Speaker 6: going forward because of the scope of the federal government. 270 00:16:11,040 --> 00:16:14,160 Speaker 6: It really does affect everybody's life. And that's where the 271 00:16:14,200 --> 00:16:16,880 Speaker 6: Court now has so much more at stake, not just 272 00:16:16,920 --> 00:16:19,840 Speaker 6: for the separation powers, but for its own survival. If 273 00:16:19,840 --> 00:16:22,320 Speaker 6: you give the president, you know, free reign over everything, 274 00:16:22,640 --> 00:16:24,480 Speaker 6: what's to say he's not going to want changes in 275 00:16:24,520 --> 00:16:28,239 Speaker 6: the Court or ignore the Court. So the Court's survival 276 00:16:28,280 --> 00:16:31,520 Speaker 6: in terms of influential here is also on the line. 277 00:16:32,120 --> 00:16:32,600 Speaker 4: Professor. 278 00:16:32,680 --> 00:16:38,240 Speaker 5: We had President Trump's first cabinet meeting yesterday, Tellwes, and 279 00:16:38,280 --> 00:16:40,280 Speaker 5: we had mister Musk there. What did you take away 280 00:16:40,680 --> 00:16:41,680 Speaker 5: from that cabinet meeting? 281 00:16:42,760 --> 00:16:44,920 Speaker 6: Well, I mean it's something you could not even imagine, 282 00:16:45,000 --> 00:16:47,120 Speaker 6: even like in a movie, you know, like you wouldn't 283 00:16:47,160 --> 00:16:48,960 Speaker 6: even you know, Wag the you know, Wag the Dog, 284 00:16:49,040 --> 00:16:51,040 Speaker 6: that movie about sort of a fake war. And we thought, oh, 285 00:16:51,240 --> 00:16:54,160 Speaker 6: these things can't ever happen. I never, in my days 286 00:16:54,200 --> 00:16:56,360 Speaker 6: teaching every thought this would be the first photo of 287 00:16:56,400 --> 00:16:59,720 Speaker 6: a major cabinet meeting. I thought Trump was doing Trump. 288 00:17:00,040 --> 00:17:01,960 Speaker 6: He was sort of giving Elon Musk a little bit 289 00:17:02,280 --> 00:17:05,040 Speaker 6: you know, of shade at some point, but then also 290 00:17:05,080 --> 00:17:09,800 Speaker 6: reaffirming Musk's authority. He clearly wants to walk away with 291 00:17:09,880 --> 00:17:13,640 Speaker 6: a definitive, visible cut in the size of the federal workforce, 292 00:17:13,920 --> 00:17:17,240 Speaker 6: and whoever can get there first will be Trump's favorite, 293 00:17:17,359 --> 00:17:19,600 Speaker 6: and so right now it's Musk. But if it starts 294 00:17:19,640 --> 00:17:22,480 Speaker 6: to cause some backlash and problems, He'll just instruct all 295 00:17:22,520 --> 00:17:25,880 Speaker 6: of his cabinet members to do that and literally say 296 00:17:25,920 --> 00:17:27,399 Speaker 6: do it or you're fired. I mean, this is the 297 00:17:27,400 --> 00:17:29,520 Speaker 6: way he will run the cabinet. So it was a 298 00:17:29,520 --> 00:17:32,359 Speaker 6: bit surreal, but you could see that Trump was power 299 00:17:32,400 --> 00:17:35,760 Speaker 6: playing even within his own cabinet, which every president does. 300 00:17:35,840 --> 00:17:36,280 Speaker 5: By the way. 301 00:17:36,840 --> 00:17:37,399 Speaker 4: It's interesting. 302 00:17:37,440 --> 00:17:40,240 Speaker 5: I mean, I think you know, you looked around the 303 00:17:40,240 --> 00:17:43,000 Speaker 5: table when you saw mister Musk, and I figure, if 304 00:17:43,040 --> 00:17:45,360 Speaker 5: you're a cabinet person, this is kind of the. 305 00:17:45,320 --> 00:17:47,280 Speaker 4: Peak of your political career. You've become. 306 00:17:47,720 --> 00:17:50,560 Speaker 5: You know, you have your heading up a big department 307 00:17:50,600 --> 00:17:54,280 Speaker 5: within US government, but I guess you kind of have 308 00:17:54,359 --> 00:17:56,720 Speaker 5: to report to mister Musk. Is that kind of the 309 00:17:56,800 --> 00:17:58,000 Speaker 5: vibe taken from yesterday? 310 00:17:58,880 --> 00:18:01,080 Speaker 6: Well, I mean, certainly it's the public visible vibe, but 311 00:18:01,160 --> 00:18:03,840 Speaker 6: of course underneath, you know, behind the scenes, you're gonna 312 00:18:03,840 --> 00:18:06,920 Speaker 6: see cabinet members now they're confirmed, and the FBI is 313 00:18:06,920 --> 00:18:10,600 Speaker 6: an awfully powerful place, the Treasury is an awfully powerful place. 314 00:18:11,359 --> 00:18:15,160 Speaker 6: I think these people will assert themselves behind the scenes constantly. 315 00:18:15,160 --> 00:18:18,560 Speaker 6: With Trump trying to sort of minimize Musk's capacity to 316 00:18:18,640 --> 00:18:22,280 Speaker 6: tell them what to do. But we have real things happening. Sadly, 317 00:18:22,359 --> 00:18:24,440 Speaker 6: somebody died. I think at least one person has died 318 00:18:24,480 --> 00:18:28,399 Speaker 6: of measles in Texas. That's something that RFK has to 319 00:18:28,440 --> 00:18:30,439 Speaker 6: deal with as a cabinet member. You know, there are 320 00:18:30,520 --> 00:18:32,840 Speaker 6: things that will happen that will affect people that will 321 00:18:32,880 --> 00:18:35,960 Speaker 6: be negative. What does Trump do then? Does he blame 322 00:18:36,080 --> 00:18:38,840 Speaker 6: Musk or does he blame Kennedy? You know, and they're 323 00:18:38,880 --> 00:18:42,320 Speaker 6: all trying to like basically avoid blame for the backlash 324 00:18:42,400 --> 00:18:45,360 Speaker 6: and the bad things that will happen from making such drastic, 325 00:18:45,560 --> 00:18:47,080 Speaker 6: you know, visible cuts so quickly. 326 00:18:47,240 --> 00:18:50,600 Speaker 2: One final question, what do you glean is a relationship 327 00:18:50,640 --> 00:18:54,920 Speaker 2: between the leadership of the GOP Senate and the GOP House. 328 00:18:56,240 --> 00:18:57,879 Speaker 6: I knew you were going to ask me this. I 329 00:18:57,880 --> 00:19:00,960 Speaker 6: did some homer before I came on. Ye, so are 330 00:19:01,040 --> 00:19:04,879 Speaker 6: we the Senate Republican majority leaders are saying, Yeah, that 331 00:19:04,880 --> 00:19:07,960 Speaker 6: House resolution that barely passed, that was lauded as a 332 00:19:08,000 --> 00:19:11,080 Speaker 6: political victory twenty four hours ago, Yeah, we're not taking that. 333 00:19:11,160 --> 00:19:13,399 Speaker 6: We're not interested in that one. That's not going to 334 00:19:13,480 --> 00:19:15,560 Speaker 6: do it for us. We want lots of changes, in 335 00:19:15,600 --> 00:19:19,640 Speaker 6: particular Medicaid. This is where senators represent entire states. They 336 00:19:19,680 --> 00:19:22,359 Speaker 6: deal with governors much more frequently, and they understand that 337 00:19:22,400 --> 00:19:25,160 Speaker 6: all the people in the state are affected. Medicaid effects states. 338 00:19:25,480 --> 00:19:27,600 Speaker 6: So this is where you see the institutional design of 339 00:19:27,600 --> 00:19:30,240 Speaker 6: the House and Senate really coming through a particularly on Medicaid. 340 00:19:30,240 --> 00:19:32,600 Speaker 6: On this Budgy resolution, they said the tax cuts weren't 341 00:19:32,600 --> 00:19:35,199 Speaker 6: permanent enough. I'm not sure what that means. George W. 342 00:19:35,280 --> 00:19:38,120 Speaker 6: Bush wanted permanent tax cuts. It's hard to do. So 343 00:19:38,200 --> 00:19:41,000 Speaker 6: the Senate is already planting its flag and telling the 344 00:19:41,040 --> 00:19:42,879 Speaker 6: House that there's a lot of work to be done. 345 00:19:43,040 --> 00:19:45,560 Speaker 2: Professor, you get an a thank you so much, Wendy 346 00:19:45,600 --> 00:19:50,080 Speaker 2: Schuler Brown University. I really appreciate her input. 347 00:19:50,640 --> 00:19:54,560 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 348 00:19:54,600 --> 00:19:57,640 Speaker 1: starting at seven am Eastern on Apple Corplay and Android 349 00:19:57,640 --> 00:20:01,159 Speaker 1: Auto with the Bloomberg Business app. Also listen live on 350 00:20:01,240 --> 00:20:05,560 Speaker 1: Amazon Alexa from our flagship New York station. Just say Alexa, 351 00:20:05,680 --> 00:20:07,480 Speaker 1: play Bloomberg eleven thirty. 352 00:20:07,480 --> 00:20:08,520 Speaker 4: Join us right now. 353 00:20:09,040 --> 00:20:12,760 Speaker 2: Huge response in Julia Pollocks on she's a ZipRecruiter? Really 354 00:20:12,880 --> 00:20:16,199 Speaker 2: is a chief US Economists A starkly different take on 355 00:20:16,280 --> 00:20:20,120 Speaker 2: the labor economy. Julia, we had not ZIP recruiter. He's 356 00:20:20,119 --> 00:20:23,679 Speaker 2: from a small internet firm City Group. Andrew Hollenhorst was 357 00:20:23,760 --> 00:20:26,480 Speaker 2: just on saying there seemed to be a little bit 358 00:20:26,520 --> 00:20:29,639 Speaker 2: of cracks in the employment armor. Do you agree. 359 00:20:30,960 --> 00:20:33,199 Speaker 7: I think it's too soon to tell. So on the 360 00:20:33,240 --> 00:20:37,000 Speaker 7: one hand, you have consumer confidence falling, there's so many 361 00:20:37,080 --> 00:20:39,919 Speaker 7: new things happening. We know that uncertainty can be a 362 00:20:40,000 --> 00:20:43,840 Speaker 7: drag on investments and hiring as companies wait for clarity, 363 00:20:44,359 --> 00:20:47,040 Speaker 7: so it's possible that that is happening. We also know 364 00:20:47,119 --> 00:20:52,199 Speaker 7: that some specific companies are concerned about tariffs and the 365 00:20:52,200 --> 00:20:56,360 Speaker 7: effect on their businesses. But we also know that there 366 00:20:56,400 --> 00:20:59,920 Speaker 7: are many many employers who are basically euphoric. They expect 367 00:21:00,200 --> 00:21:05,760 Speaker 7: far fewer investigations from the government, They expect looser, more 368 00:21:05,880 --> 00:21:10,800 Speaker 7: favorable regulation, a better business environment. So it's really mixed 369 00:21:10,800 --> 00:21:12,360 Speaker 7: bag at the moment, and we don't know how it's 370 00:21:12,359 --> 00:21:14,480 Speaker 7: going to work out. And the aggregate figures, I expect 371 00:21:14,480 --> 00:21:16,399 Speaker 7: this job support will still be a pretty strong one. 372 00:21:17,320 --> 00:21:21,440 Speaker 5: So what drives just stepping back here from a corporation, 373 00:21:21,520 --> 00:21:24,480 Speaker 5: what drives my hiring strategy on a kind of a 374 00:21:24,520 --> 00:21:28,320 Speaker 5: six to twelve month basis, do. 375 00:21:28,280 --> 00:21:30,399 Speaker 7: You look at the market, you see the products and 376 00:21:30,480 --> 00:21:35,000 Speaker 7: services that you are producing, You see how much you 377 00:21:35,160 --> 00:21:39,400 Speaker 7: are able to make for them. If you see an 378 00:21:39,400 --> 00:21:43,639 Speaker 7: opportunity to expand into a new product line or a 379 00:21:43,680 --> 00:21:48,240 Speaker 7: new service and make money, you know, if the profit 380 00:21:48,400 --> 00:21:51,240 Speaker 7: is going to be positive, the revenue will exceed the costs, 381 00:21:51,280 --> 00:21:53,520 Speaker 7: then you go for it. You know, there are lots 382 00:21:53,560 --> 00:21:56,200 Speaker 7: of reasons that people hold back and try to hire 383 00:21:56,280 --> 00:21:59,240 Speaker 7: fewer people. One, the tax code encourages it. You hire 384 00:21:59,240 --> 00:22:01,760 Speaker 7: a person, you pay payroll tax, you get a machine, 385 00:22:02,280 --> 00:22:04,359 Speaker 7: you get a full tax right off. So we have 386 00:22:04,400 --> 00:22:06,040 Speaker 7: a couple of things that we need to do in 387 00:22:06,080 --> 00:22:11,800 Speaker 7: this country to you know, make sure that's what's not inevitable. 388 00:22:12,200 --> 00:22:15,040 Speaker 7: It doesn't happen because we force it to. So, you know, 389 00:22:15,160 --> 00:22:17,480 Speaker 7: people are worried that robust will take over jobs. Well, 390 00:22:17,680 --> 00:22:21,280 Speaker 7: our policies kind of encourage that. There are also states 391 00:22:21,280 --> 00:22:24,680 Speaker 7: with very very tough label laws where employers are terrified 392 00:22:24,680 --> 00:22:26,400 Speaker 7: of hiring someone because they're worried they won't be able 393 00:22:26,400 --> 00:22:30,560 Speaker 7: to terminate them without being sued. So there are lots 394 00:22:30,560 --> 00:22:33,800 Speaker 7: of things that make employers hold back. 395 00:22:34,280 --> 00:22:36,359 Speaker 2: Julie, and we're going to do the economic data here 396 00:22:36,400 --> 00:22:38,399 Speaker 2: in a moment, Julia Pollock with us a zip recruiter. 397 00:22:38,520 --> 00:22:41,600 Speaker 2: Let's go back to first principles. What do you see 398 00:22:42,200 --> 00:22:47,200 Speaker 2: distinctive Zip recruiter? Fossils like us look at it and go, oh, 399 00:22:47,240 --> 00:22:50,280 Speaker 2: it's Internet. It's people you know on a laptop at 400 00:22:50,359 --> 00:22:52,840 Speaker 2: Starbucks trying to find their jobs so they can work 401 00:22:52,880 --> 00:22:56,879 Speaker 2: from home four days a week. That's a stereotype, Julia Pollock. 402 00:22:56,960 --> 00:23:00,240 Speaker 2: What do you see at zip recruiter? What's unique your 403 00:23:00,600 --> 00:23:01,480 Speaker 2: website effort? 404 00:23:03,080 --> 00:23:05,040 Speaker 7: So the difficulty in the labor market is that this 405 00:23:05,119 --> 00:23:08,600 Speaker 7: is the most heterogeneous market on the planet. No jobs 406 00:23:08,600 --> 00:23:10,399 Speaker 7: are the same and no workers are the same, and 407 00:23:10,480 --> 00:23:13,320 Speaker 7: so there's a tremendously difficult matching problem. And that's where 408 00:23:13,359 --> 00:23:16,679 Speaker 7: zippercruiter comes in. We help connect the right employers with 409 00:23:16,720 --> 00:23:18,800 Speaker 7: the right jobs at the right moment. And that is 410 00:23:18,840 --> 00:23:20,280 Speaker 7: not a trivial problem. 411 00:23:20,560 --> 00:23:22,720 Speaker 5: It's not just about wages here, Julia. I mean, it 412 00:23:22,720 --> 00:23:26,800 Speaker 5: seems like wage growth is pretty darn solid. Yes, inflation's 413 00:23:26,840 --> 00:23:29,320 Speaker 5: a big, big issue for all consumers out there, but 414 00:23:29,359 --> 00:23:32,320 Speaker 5: wage growth has been pretty darn good. Is that seemed 415 00:23:32,359 --> 00:23:34,439 Speaker 5: solid to you? 416 00:23:34,359 --> 00:23:37,320 Speaker 7: You? Wage growth has exceeded inflation now for about two 417 00:23:37,400 --> 00:23:42,359 Speaker 7: years and I think workers are trying to are starting 418 00:23:42,400 --> 00:23:45,720 Speaker 7: to feel that after twenty five months of negative real 419 00:23:45,760 --> 00:23:48,479 Speaker 7: wage growth in twenty twenty one twenty two made them 420 00:23:48,480 --> 00:23:52,080 Speaker 7: feel pretty gloomy. Many are feeling less financial strain now. 421 00:23:52,119 --> 00:23:56,320 Speaker 7: In our job seeker confidence surveys, we've seen the financial 422 00:23:56,359 --> 00:23:58,440 Speaker 7: index go up a lot in the last few months. 423 00:23:58,640 --> 00:24:00,800 Speaker 2: Right, Let make you the economic data. We do this 424 00:24:00,840 --> 00:24:03,160 Speaker 2: for Julia Pollock and ZIP recruiter. We say good morning 425 00:24:03,160 --> 00:24:06,480 Speaker 2: to all of you futures. We're up thirty thirty five. 426 00:24:06,560 --> 00:24:10,560 Speaker 2: We're watching right now. Seems to be a lift this morning. 427 00:24:10,880 --> 00:24:13,399 Speaker 2: GDB comes in level two point three percent on a 428 00:24:13,440 --> 00:24:16,600 Speaker 2: second look, but far more consumption and tick up four 429 00:24:16,600 --> 00:24:21,880 Speaker 2: point two percent. Critically, the GDP Price Index. Julia, let 430 00:24:21,880 --> 00:24:24,280 Speaker 2: me give you this exactly. It was a two. It's 431 00:24:24,280 --> 00:24:29,159 Speaker 2: a wow statistic two point two percent prior the second 432 00:24:29,160 --> 00:24:33,000 Speaker 2: look GDP is not two point two percent. It's such 433 00:24:33,160 --> 00:24:35,879 Speaker 2: a lift. I wonder if it's a typo. We'll have 434 00:24:35,920 --> 00:24:42,280 Speaker 2: to watch that four point two percent. On a simplistic basis, 435 00:24:42,440 --> 00:24:44,280 Speaker 2: you take a two three and a four to two, 436 00:24:44,840 --> 00:24:46,880 Speaker 2: add them together, and you got a six point five 437 00:24:46,920 --> 00:24:50,760 Speaker 2: percent nominal GDP. That's an amateur take but that gives 438 00:24:50,800 --> 00:24:55,000 Speaker 2: you the shock of this GDP price index statistic from 439 00:24:55,119 --> 00:24:57,760 Speaker 2: the survey was two point two percent, and it's a 440 00:24:57,760 --> 00:25:02,400 Speaker 2: true jump condition to four point two percent. Durable goods 441 00:25:02,840 --> 00:25:04,840 Speaker 2: right now, I'm going to say with a lift as 442 00:25:04,880 --> 00:25:09,480 Speaker 2: well an x aircraft. What Julia Pollack looks at is 443 00:25:09,520 --> 00:25:14,920 Speaker 2: again sprightly zero point three is larger zero point eight 444 00:25:15,000 --> 00:25:17,760 Speaker 2: and on claims we finally get the weakness here. Two 445 00:25:17,800 --> 00:25:21,200 Speaker 2: twenty one comes in at two forty two, so it's 446 00:25:21,280 --> 00:25:23,600 Speaker 2: market moving equities don't do much. But I'm going to 447 00:25:23,680 --> 00:25:26,280 Speaker 2: go down here. We've been talking all morning. The Sweeney 448 00:25:26,359 --> 00:25:30,119 Speaker 2: yield actually churns at a four point zero nine up percent. 449 00:25:30,200 --> 00:25:33,280 Speaker 2: The ten year real yield comes in ever so slightly 450 00:25:33,359 --> 00:25:38,800 Speaker 2: one point ninety one percent. Julia Pollock did the nominal 451 00:25:38,840 --> 00:25:43,080 Speaker 2: GDP amateur take. But just to be safe here, do 452 00:25:43,160 --> 00:25:46,240 Speaker 2: we still see a run rate of animal spirits in 453 00:25:46,240 --> 00:25:50,000 Speaker 2: the nation of five percent plus? 454 00:25:50,680 --> 00:25:53,520 Speaker 7: Well, this is sort of interesting, isn't it. I mean, 455 00:25:53,760 --> 00:25:57,639 Speaker 7: GDP is coming in lower than previously estimated and inflation higher, 456 00:25:57,680 --> 00:26:00,879 Speaker 7: and that's consistent with the change which is in the 457 00:26:00,920 --> 00:26:04,920 Speaker 7: Fed's projections recently. And I think that is consistent with 458 00:26:05,359 --> 00:26:09,239 Speaker 7: the shift and sentiment recently as well. The economy is 459 00:26:09,440 --> 00:26:12,879 Speaker 7: still growing at a robust rate. I mean, people didn't 460 00:26:12,880 --> 00:26:16,560 Speaker 7: expect two percent GDP growth now given our demographic shifts, 461 00:26:17,320 --> 00:26:20,600 Speaker 7: So that's still fairly strong, but it's not as strong 462 00:26:20,640 --> 00:26:23,840 Speaker 7: as we once thought. Employment growth also, we saw those 463 00:26:23,880 --> 00:26:26,879 Speaker 7: huge revisions, the big benchmark revisions was not as strong 464 00:26:26,880 --> 00:26:29,240 Speaker 7: in twenty twenty three and twenty twenty four as we 465 00:26:29,280 --> 00:26:33,680 Speaker 7: initially thought. And inflation is proving more stubborn. 466 00:26:34,119 --> 00:26:37,440 Speaker 2: What's a character of inflation you see at ZIP recruiter. 467 00:26:39,560 --> 00:26:43,359 Speaker 7: So this is not wage driven inflation. For the most part, 468 00:26:43,720 --> 00:26:49,640 Speaker 7: productivity growth is strong and employers do have pretty substantial 469 00:26:49,920 --> 00:26:53,439 Speaker 7: wage setting power, even though yes, there are industries with 470 00:26:53,560 --> 00:26:56,520 Speaker 7: labor shortages where where employers are sort of boxed in. 471 00:26:58,280 --> 00:27:01,920 Speaker 7: The issue here really is housing. That's the biggest source 472 00:27:01,960 --> 00:27:03,960 Speaker 7: of inflation in the United States, and then of course 473 00:27:04,400 --> 00:27:10,919 Speaker 7: energy goes up and down with geopolitical swings. So housing 474 00:27:11,000 --> 00:27:13,000 Speaker 7: is the big one though, and the FED has proven 475 00:27:13,400 --> 00:27:17,520 Speaker 7: somewhat ineffective at dealing with it because when the FED 476 00:27:17,600 --> 00:27:21,640 Speaker 7: raises interest rates, we see inventories shrink, and so prices 477 00:27:21,720 --> 00:27:24,520 Speaker 7: remain high and price growth rough and strong. 478 00:27:25,000 --> 00:27:27,840 Speaker 2: Julia, thank you so much, particularly during this economic data, 479 00:27:27,960 --> 00:27:32,920 Speaker 2: really really appreciated. 480 00:27:34,560 --> 00:27:38,439 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 481 00:27:38,520 --> 00:27:41,919 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 482 00:27:41,960 --> 00:27:44,760 Speaker 1: with the Bloomberg Business app. You can also watch us 483 00:27:44,800 --> 00:27:48,680 Speaker 1: live every weekday on YouTube and always on the Bloomberg terminal. 484 00:27:48,800 --> 00:27:51,240 Speaker 2: This is a joy in an important day to speak 485 00:27:51,240 --> 00:27:55,960 Speaker 2: to Wendy Schiller, professor at Brown University, but far more nationally, 486 00:27:56,520 --> 00:28:00,160 Speaker 2: and forget about the Republican Democrat thing, Jess. Here is 487 00:28:00,160 --> 00:28:03,399 Speaker 2: our civics second paragraph. This happens to be from the 488 00:28:03,480 --> 00:28:08,240 Speaker 2: Washington Post, Professor Schiller. The brief administrative order, which did 489 00:28:08,240 --> 00:28:12,879 Speaker 2: not address the underlying legal issues, will allow time for 490 00:28:13,000 --> 00:28:18,240 Speaker 2: a full Supreme Court review. Professor Schiller, what should our 491 00:28:18,280 --> 00:28:23,440 Speaker 2: listeners either pro Trump, anti Trump, anti Democrat pro this 492 00:28:24,119 --> 00:28:28,639 Speaker 2: d D. What should we expect from Justice Roberts in 493 00:28:28,720 --> 00:28:29,639 Speaker 2: the Supreme Court? 494 00:28:30,920 --> 00:28:32,720 Speaker 6: Well, I mean, I think, Tom, I go all the 495 00:28:32,720 --> 00:28:34,439 Speaker 6: way back to John Marshall. I mean, I really do 496 00:28:34,520 --> 00:28:38,080 Speaker 6: think about Marve v. Madison. I think about crucial decisions 497 00:28:38,120 --> 00:28:41,200 Speaker 6: that the Court has made in history that shift the 498 00:28:41,280 --> 00:28:45,280 Speaker 6: balance of power across branches. And that's certainly what Marvey v. 499 00:28:45,360 --> 00:28:49,400 Speaker 6: Madison did, elevating this report's power and reducing president's power. 500 00:28:49,520 --> 00:28:51,920 Speaker 6: Thoma Jefferson was not happy about that. I think in 501 00:28:51,960 --> 00:28:54,400 Speaker 6: this case, this isn't just a one off. This isn't 502 00:28:54,480 --> 00:28:57,440 Speaker 6: there's a whole series of cases that will, in fact, 503 00:28:57,920 --> 00:29:03,400 Speaker 6: you know, affirm or restrain or expand the president's discretionary 504 00:29:03,440 --> 00:29:07,440 Speaker 6: power over the money that Congress appropriates across the board. 505 00:29:07,440 --> 00:29:10,719 Speaker 6: It's not just about AID, it's not just about DEI, 506 00:29:11,120 --> 00:29:13,720 Speaker 6: It's not about just a single thing. So this is 507 00:29:13,760 --> 00:29:16,560 Speaker 6: a real moment for Roberts, who's had a number of 508 00:29:16,600 --> 00:29:20,400 Speaker 6: these really important moments. The immunity decision obviously, but even 509 00:29:20,440 --> 00:29:23,440 Speaker 6: going back to Obamacare, you know, affirming the you know, 510 00:29:23,480 --> 00:29:26,440 Speaker 6: Obamacare is a program, but then also limiting the federal 511 00:29:26,480 --> 00:29:29,440 Speaker 6: government's power to be coercive in how it distributes money. 512 00:29:29,520 --> 00:29:32,280 Speaker 6: And that's this balancing act that Roberts is facing. 513 00:29:32,280 --> 00:29:34,560 Speaker 2: I think right now, let's take a given justice. I'm 514 00:29:34,560 --> 00:29:38,920 Speaker 2: going to go with Wizard White. Byron White, hugely respected 515 00:29:39,160 --> 00:29:43,920 Speaker 2: within our Supreme Court history, legitimate college athlete at Colorado, 516 00:29:44,280 --> 00:29:48,200 Speaker 2: legitimate baseball draftee with the Pittsburgh Pirates. He got to 517 00:29:48,240 --> 00:29:52,640 Speaker 2: the Supreme Court and he surprised those people that thought 518 00:29:52,680 --> 00:29:54,800 Speaker 2: Wiz or Wight would do this, do this, do this. 519 00:29:55,240 --> 00:29:58,200 Speaker 2: Are we going to get the same surprise from the 520 00:29:58,280 --> 00:30:01,760 Speaker 2: more conservative members of the court or do you suggest 521 00:30:01,800 --> 00:30:03,680 Speaker 2: they'll go lockstep with a president. 522 00:30:05,400 --> 00:30:08,640 Speaker 6: I think they're probably literally starting to think about middle ground. 523 00:30:08,760 --> 00:30:11,800 Speaker 6: I don't know that they'll go completely lock step, but 524 00:30:11,840 --> 00:30:15,360 Speaker 6: there's a lot of room in this structure Articles one, two, 525 00:30:15,440 --> 00:30:18,320 Speaker 6: and even three of the Constitution to have the president 526 00:30:18,440 --> 00:30:21,800 Speaker 6: exert power. The difference today from any other Roman history 527 00:30:22,000 --> 00:30:24,920 Speaker 6: is the size and scope of the federal government. That's 528 00:30:25,040 --> 00:30:28,880 Speaker 6: the big new factor in the sense of this constitutional arrangement. 529 00:30:29,120 --> 00:30:30,960 Speaker 6: You know, they were writing Constitution for a president that 530 00:30:31,000 --> 00:30:34,240 Speaker 6: was overseeing a very tiny federal government, and that stayed 531 00:30:34,280 --> 00:30:37,400 Speaker 6: tiny for more than one hundred years. So now we've 532 00:30:37,400 --> 00:30:40,240 Speaker 6: got something that affects everybody's daily life. You know, what 533 00:30:40,280 --> 00:30:42,800 Speaker 6: does that mean? How much responsibility does the president have 534 00:30:42,920 --> 00:30:45,960 Speaker 6: in power and how much does Congress have a say 535 00:30:46,000 --> 00:30:48,200 Speaker 6: in it? And this is going to be crucial going 536 00:30:48,240 --> 00:30:50,640 Speaker 6: forward because of the scope of the federal government. It 537 00:30:50,680 --> 00:30:54,040 Speaker 6: really does affect everybody's life. And that's where the Court 538 00:30:54,160 --> 00:30:56,520 Speaker 6: now has so much more at stake, not just for 539 00:30:56,560 --> 00:30:59,400 Speaker 6: the separation powers, but for its own survival. If you 540 00:30:59,440 --> 00:31:01,840 Speaker 6: give the president and then you know, free reign over everything, 541 00:31:02,120 --> 00:31:04,080 Speaker 6: what's to say he's not gonna want changes in the 542 00:31:04,120 --> 00:31:07,840 Speaker 6: court or ignore the court. So the Court's survival in 543 00:31:07,920 --> 00:31:11,040 Speaker 6: terms of influential here is also on the line. 544 00:31:11,600 --> 00:31:12,080 Speaker 4: Professor. 545 00:31:12,160 --> 00:31:17,720 Speaker 5: We had President Trump's first cabinet meeting yesterday, Tellwies, and 546 00:31:17,760 --> 00:31:19,760 Speaker 5: we had mister Musk there. What did you take away 547 00:31:20,200 --> 00:31:21,160 Speaker 5: from that cabinet meeting? 548 00:31:22,280 --> 00:31:24,400 Speaker 6: Well, I mean it's something you could not even imagined, 549 00:31:24,520 --> 00:31:26,640 Speaker 6: even like in a movie, you know, like you wouldn't 550 00:31:26,640 --> 00:31:28,440 Speaker 6: even you know, Wag the you know, Wag the Dog, 551 00:31:28,520 --> 00:31:30,640 Speaker 6: that movie about sort of a fake war, and thought, Oho, 552 00:31:30,720 --> 00:31:34,040 Speaker 6: these things can't ever happen. I never, in my days teaching, 553 00:31:34,080 --> 00:31:35,960 Speaker 6: ever thought this would be the first photo of a 554 00:31:36,000 --> 00:31:39,560 Speaker 6: major cabinet meeting. I thought Trump was doing Trump. He 555 00:31:39,680 --> 00:31:41,960 Speaker 6: was sort of giving Elon Musk a little bit you know, 556 00:31:42,040 --> 00:31:46,480 Speaker 6: of shade at some point, but then also reaffirming Musk's authority. 557 00:31:46,880 --> 00:31:50,760 Speaker 6: He clearly wants to walk away with a definitive, visible 558 00:31:50,880 --> 00:31:53,960 Speaker 6: cut in the size of the federal workforce, and whoever 559 00:31:54,040 --> 00:31:57,120 Speaker 6: can get there first will be Trump's favorite. And so 560 00:31:57,240 --> 00:31:59,480 Speaker 6: right now it's Musk. But if it starts to cause 561 00:31:59,480 --> 00:32:02,680 Speaker 6: some backline problems, he'll just instruct all of his cabinet 562 00:32:03,080 --> 00:32:05,800 Speaker 6: members to do that and literally say do it or 563 00:32:05,840 --> 00:32:07,360 Speaker 6: you're fired. I mean, this is the way he will 564 00:32:07,440 --> 00:32:10,160 Speaker 6: run the cabinet. So it was a bit surreal, but 565 00:32:10,240 --> 00:32:12,800 Speaker 6: you could see that Trump was power playing even within 566 00:32:12,840 --> 00:32:15,800 Speaker 6: his own cabinet, which every president does. By the way. 567 00:32:16,320 --> 00:32:16,920 Speaker 4: It's interesting. 568 00:32:16,920 --> 00:32:19,760 Speaker 5: I mean, I think you know, you looked around the 569 00:32:19,760 --> 00:32:22,480 Speaker 5: table when you saw mister Musk, and I figure, if 570 00:32:22,520 --> 00:32:24,760 Speaker 5: you're a cabinet person, this is kind. 571 00:32:24,600 --> 00:32:26,800 Speaker 4: Of the peak of your political career. You've become. 572 00:32:27,200 --> 00:32:30,040 Speaker 5: You know, you have, you're heading up a big department 573 00:32:30,080 --> 00:32:33,360 Speaker 5: with a US government, But I guess you kind of 574 00:32:33,600 --> 00:32:35,840 Speaker 5: have to report to mister Musk. Is that kind of 575 00:32:36,160 --> 00:32:37,480 Speaker 5: the vibe taken from yesterday? 576 00:32:38,400 --> 00:32:40,600 Speaker 6: Well, I mean, certainly it's the public visible vibe, but 577 00:32:40,640 --> 00:32:43,360 Speaker 6: of course underneath, you know, behind the scenes, you're gonna 578 00:32:43,360 --> 00:32:46,400 Speaker 6: see cabinet members now they're confirmed, and the FBI is 579 00:32:46,440 --> 00:32:50,120 Speaker 6: an awfully powerful place, the Treasury is an awfully powerful place. 580 00:32:50,880 --> 00:32:54,600 Speaker 6: I think these people will assert themselves behind the scenes constantly, 581 00:32:54,640 --> 00:32:58,080 Speaker 6: with Trump trying to sort of minimize Musk's capacity to 582 00:32:58,120 --> 00:33:01,800 Speaker 6: tell them what to do. But we have real things happening. Sadly, 583 00:33:01,880 --> 00:33:03,960 Speaker 6: somebody died. I think at least one person has died 584 00:33:04,000 --> 00:33:07,880 Speaker 6: of measles in Texas. That's something that RFK has to 585 00:33:07,920 --> 00:33:09,960 Speaker 6: deal with as a cabinet member. You know, there are 586 00:33:10,040 --> 00:33:12,360 Speaker 6: things that will happen that will affect people that will 587 00:33:12,360 --> 00:33:15,480 Speaker 6: be negative. What does Trump do then? Does he blame 588 00:33:15,560 --> 00:33:18,360 Speaker 6: Musk or does he blame Kennedy? You know, and they're 589 00:33:18,360 --> 00:33:21,880 Speaker 6: all trying to like basically avoid blame for the backlash 590 00:33:21,920 --> 00:33:24,880 Speaker 6: and the bad things that will happen from making such drastic, 591 00:33:25,080 --> 00:33:26,560 Speaker 6: you know, visible cuts so quickly. 592 00:33:26,720 --> 00:33:30,120 Speaker 2: One final question, what do you glean is a relationship 593 00:33:30,120 --> 00:33:34,440 Speaker 2: between the leadership of the GOP Senate and the GOP House. 594 00:33:35,760 --> 00:33:37,360 Speaker 6: I knew you were going to ask me this. I 595 00:33:37,400 --> 00:33:40,840 Speaker 6: did some homer before I came on. Yeah. So already 596 00:33:41,040 --> 00:33:44,640 Speaker 6: the Senate Republican majority leaders are saying, yeah, that House 597 00:33:44,680 --> 00:33:47,840 Speaker 6: resolution that barely passed, that was lauded as a political 598 00:33:47,880 --> 00:33:50,560 Speaker 6: victory twenty four hours ago, Yeah, we're not taking that. 599 00:33:50,680 --> 00:33:52,920 Speaker 6: We're not interested in that one. That's not going to 600 00:33:52,960 --> 00:33:55,040 Speaker 6: do it for us. We want lots of changes, in 601 00:33:55,080 --> 00:33:59,160 Speaker 6: particular Medicaid. This is where senators represent entire states. They 602 00:33:59,160 --> 00:34:01,880 Speaker 6: deal with governors much more frequently, and they understand that 603 00:34:01,920 --> 00:34:04,680 Speaker 6: all the people in the state are affected. Medicaid effects states. 604 00:34:05,000 --> 00:34:07,040 Speaker 6: So this is where you see the institutional design in 605 00:34:07,080 --> 00:34:09,720 Speaker 6: the House and Senate really coming through, particularly on Medicaid. 606 00:34:09,719 --> 00:34:12,080 Speaker 6: On this Budgy resolution, they said the tax cuts weren't 607 00:34:12,080 --> 00:34:14,680 Speaker 6: permanent enough. I'm not sure what that means. George W. 608 00:34:14,760 --> 00:34:17,600 Speaker 6: Bush wanted permanent tax cuts. It's hard to do. So 609 00:34:17,719 --> 00:34:20,480 Speaker 6: the Senate is already planting its flag and telling the 610 00:34:20,520 --> 00:34:22,400 Speaker 6: House that there's a lot of work to be done. 611 00:34:22,520 --> 00:34:25,040 Speaker 2: Professor, you get an a thank you so much, Wendy 612 00:34:25,080 --> 00:34:30,120 Speaker 2: Shler Brown University. I really appreciate her input. 613 00:34:30,600 --> 00:34:35,440 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 614 00:34:35,560 --> 00:34:39,840 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 615 00:34:39,960 --> 00:34:43,200 Speaker 1: seven to ten am Easter and on Bloomberg dot Com, 616 00:34:43,360 --> 00:34:47,160 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 617 00:34:47,440 --> 00:34:50,560 Speaker 1: You can also watch us live every weekday on YouTube 618 00:34:50,840 --> 00:34:52,880 Speaker 1: and always on the Bloomberg terminal.