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 --> 00:00:27,720 Speaker 1: us live on YouTube right now. 6 00:00:27,800 --> 00:00:31,600 Speaker 2: The most important essay every morning in the earning season 7 00:00:31,600 --> 00:00:36,480 Speaker 2: of Julian Emmanuel holding court at Evercore Isi with one 8 00:00:37,080 --> 00:00:40,000 Speaker 2: Edward Hyman. Ed Hyman and we're threwed he could join 9 00:00:40,080 --> 00:00:43,960 Speaker 2: us today, their chief equity quantitative strategists. Once again, you 10 00:00:44,040 --> 00:00:48,440 Speaker 2: have outlined how we got earnings wrong. Do you believe 11 00:00:48,440 --> 00:00:53,880 Speaker 2: we'll get earnings wrong quarter ending September thirty? We invariably do. 12 00:00:54,680 --> 00:00:59,360 Speaker 3: So we came into this season believing and again, look 13 00:00:59,400 --> 00:01:04,560 Speaker 3: this is quite America. There is the baseline predicted earnings growth, 14 00:01:04,760 --> 00:01:09,520 Speaker 3: and there's the surprise. We almost always surprise positively. I 15 00:01:09,560 --> 00:01:13,880 Speaker 3: think in our view what happened was the market was 16 00:01:14,000 --> 00:01:18,520 Speaker 3: actually surprised by what, in retrospect, is not that surprising. 17 00:01:18,800 --> 00:01:22,600 Speaker 3: A surprise, tom So you're getting ten percent earnings growth. 18 00:01:23,880 --> 00:01:28,440 Speaker 3: But what's more interesting to us about this season is 19 00:01:28,480 --> 00:01:32,480 Speaker 3: the degree of the stock price response has been unlike 20 00:01:32,520 --> 00:01:35,680 Speaker 3: anything we've ever seen, both to the good and the bad, 21 00:01:35,760 --> 00:01:40,200 Speaker 3: and frankly, it isn't that entirely dependent on the scope 22 00:01:40,360 --> 00:01:43,160 Speaker 3: of what they report. A lot of this is positioning, 23 00:01:43,440 --> 00:01:49,280 Speaker 3: but you've had moves just incredibly dramatic in both directions, 24 00:01:49,600 --> 00:01:54,480 Speaker 3: and that points in our mind to a question about 25 00:01:54,680 --> 00:01:58,400 Speaker 3: where we're going in terms of earnings next year within 26 00:01:58,560 --> 00:02:01,880 Speaker 3: the context of the fact that bottoms up consensus is 27 00:02:01,920 --> 00:02:05,840 Speaker 3: looking for thirteen percent earnings in twenty twenty six. That's 28 00:02:05,880 --> 00:02:07,800 Speaker 3: a bit too high in our opinion. 29 00:02:08,720 --> 00:02:10,680 Speaker 4: You don't bury the lead here with your most recent 30 00:02:10,720 --> 00:02:14,480 Speaker 4: note near term, we think stocks are overvalued seven to 31 00:02:14,520 --> 00:02:16,880 Speaker 4: fifteen percent pullback into an October low. 32 00:02:17,919 --> 00:02:19,000 Speaker 5: That's not consensus. 33 00:02:20,720 --> 00:02:25,600 Speaker 3: Well, so, I guess this goes back to the scars 34 00:02:25,639 --> 00:02:30,200 Speaker 3: that we've had by being excessively bullish coming into labor 35 00:02:30,280 --> 00:02:34,160 Speaker 3: day from time to time. That is almost always a 36 00:02:34,200 --> 00:02:38,440 Speaker 3: strategy that runs into difficulty. But again it goes back 37 00:02:38,480 --> 00:02:40,800 Speaker 3: to whether you think about it in the context of 38 00:02:40,840 --> 00:02:44,880 Speaker 3: earnings expectations for twenty twenty six or you think about 39 00:02:44,919 --> 00:02:48,959 Speaker 3: it in terms of valuation. And to be clear, we're 40 00:02:49,000 --> 00:02:52,040 Speaker 3: not at all time high valuations like the Y two 41 00:02:52,160 --> 00:02:57,200 Speaker 3: K dot com bubble, but we're not far away, and 42 00:02:57,720 --> 00:03:00,640 Speaker 3: in our mind, part of what's gone on this summer 43 00:03:00,840 --> 00:03:05,760 Speaker 3: is really a belief that because we haven't seen a 44 00:03:05,880 --> 00:03:12,000 Speaker 3: discrete drag in terms of growth to tariffs and discrete 45 00:03:12,080 --> 00:03:14,840 Speaker 3: underpinning inflation, which we do believe we're going to get 46 00:03:14,840 --> 00:03:19,239 Speaker 3: first evidence of this week with the CPI report, people 47 00:03:19,280 --> 00:03:21,959 Speaker 3: are just you know, don't worry, be happy. 48 00:03:21,840 --> 00:03:23,880 Speaker 2: Let's go there right now. And bringing edheymen into it, 49 00:03:23,880 --> 00:03:26,040 Speaker 2: you have this huge advantage of ed heymen and your 50 00:03:26,080 --> 00:03:30,040 Speaker 2: economic apparatus at evercore is a are you modeling your 51 00:03:30,040 --> 00:03:33,400 Speaker 2: equity market for a sustained three percent or dare I 52 00:03:33,440 --> 00:03:37,840 Speaker 2: say a four figure inflation three percent? Three percent? 53 00:03:37,920 --> 00:03:40,440 Speaker 3: And if you think about it, right, what we have 54 00:03:40,680 --> 00:03:44,720 Speaker 3: seen off of the trough in April, which I believe 55 00:03:44,800 --> 00:03:47,640 Speaker 3: I was on with you all. We were pounding the 56 00:03:47,680 --> 00:03:50,040 Speaker 3: table that you wanted to own it because we had 57 00:03:50,040 --> 00:03:53,520 Speaker 3: seen capitulation of a degree which we had only ever 58 00:03:53,600 --> 00:03:57,240 Speaker 3: seen at the trough of the financial crisis in nine. 59 00:03:58,280 --> 00:04:03,840 Speaker 3: Is that basically the difference between the recovery that we 60 00:04:03,920 --> 00:04:07,240 Speaker 3: saw then and the recovery that we saw actually during 61 00:04:07,280 --> 00:04:09,840 Speaker 3: the bear market that was briefly in nineteen ninety eight 62 00:04:09,840 --> 00:04:13,800 Speaker 3: in the midst of the Internet revolution versus the AI revolution. 63 00:04:14,000 --> 00:04:19,719 Speaker 3: Now the continued response where Nasdaq rose an additional over 64 00:04:19,800 --> 00:04:23,039 Speaker 3: one hundred percent into the y two k bubble, It's 65 00:04:23,080 --> 00:04:25,440 Speaker 3: not going to be like this this time because frankly, 66 00:04:25,480 --> 00:04:29,720 Speaker 3: the Fed doesn't have the leeway to be as accommodative. 67 00:04:29,880 --> 00:04:31,080 Speaker 5: Even though we're expecting. 68 00:04:31,240 --> 00:04:33,279 Speaker 2: Is this the gloomy Emmanuel this morning? 69 00:04:33,920 --> 00:04:36,400 Speaker 5: It might be. It sounds realistic to me. 70 00:04:36,440 --> 00:04:38,760 Speaker 4: It just you know, we got scolded last week for 71 00:04:38,800 --> 00:04:40,040 Speaker 4: calling it a melt up. 72 00:04:40,400 --> 00:04:42,440 Speaker 5: Do you think we experienced a melt up. 73 00:04:42,400 --> 00:04:46,360 Speaker 4: Over you know, this percent move off the bottom? 74 00:04:46,400 --> 00:04:46,479 Speaker 5: Oh? 75 00:04:46,560 --> 00:04:49,800 Speaker 3: Yeah, there's no question about the fact that if you 76 00:04:49,920 --> 00:04:53,640 Speaker 3: measure it in terms of nothing more than public participation, 77 00:04:54,320 --> 00:04:58,040 Speaker 3: the public has been driving this market in large degree. 78 00:04:58,560 --> 00:05:00,800 Speaker 3: And you see that in you know, sort of an 79 00:05:00,960 --> 00:05:05,240 Speaker 3: esoteric area of the world. Zero days the expiration option activity, 80 00:05:05,920 --> 00:05:08,799 Speaker 3: the positions go on at nine point thirty. They expired 81 00:05:08,880 --> 00:05:12,400 Speaker 3: four o'clock. That is accounting for upwards of sixty percent 82 00:05:12,440 --> 00:05:13,640 Speaker 3: of the option activity. 83 00:05:14,000 --> 00:05:16,520 Speaker 2: So what are you doing now at the margin to 84 00:05:16,600 --> 00:05:20,719 Speaker 2: purchase equity shares? Are you in evercore ISI on hold? 85 00:05:20,800 --> 00:05:20,920 Speaker 6: Now? 86 00:05:21,200 --> 00:05:25,320 Speaker 3: So basically what we're saying is you have to think 87 00:05:26,080 --> 00:05:30,240 Speaker 3: long term. There's a certain slug investor that should just 88 00:05:30,560 --> 00:05:33,040 Speaker 3: ignore what we expect to be the volatility in the 89 00:05:33,120 --> 00:05:37,120 Speaker 3: next couple months. But if you're more active, what you're 90 00:05:37,200 --> 00:05:41,760 Speaker 3: thinking about is a right sizing your AI exposure to 91 00:05:43,520 --> 00:05:47,240 Speaker 3: accomplish long term. There's going to be continued our performance. 92 00:05:47,680 --> 00:05:51,000 Speaker 3: But you want to hedge. You want to hedge with 93 00:05:51,320 --> 00:05:58,000 Speaker 3: lower valuation stocks with higher earnings revision type names. It's 94 00:05:58,040 --> 00:06:02,000 Speaker 3: an element of safety that supportfolio and actually, if you 95 00:06:02,040 --> 00:06:04,440 Speaker 3: think about it, enables. 96 00:06:04,000 --> 00:06:05,800 Speaker 5: You to be a buyer of Dipps. 97 00:06:06,960 --> 00:06:09,320 Speaker 2: There you go, there you go, as simple as that, Julian, 98 00:06:09,360 --> 00:06:12,680 Speaker 2: Thank you so much. Julian McKiel. With this EVERCOREA, I 99 00:06:12,720 --> 00:06:14,840 Speaker 2: can't we protect the copyright, folks. I'm not going to 100 00:06:14,880 --> 00:06:19,200 Speaker 2: send out his three paragraph effort that he goes right 101 00:06:19,240 --> 00:06:21,400 Speaker 2: every morning. His team does it, folks, to be honest, 102 00:06:21,440 --> 00:06:25,159 Speaker 2: but it's exquisite on where are we in the earning season? 103 00:06:25,200 --> 00:06:28,560 Speaker 2: It is the industry benchmark. He does that. Julian does 104 00:06:28,560 --> 00:06:30,320 Speaker 2: that at Evercore is. 105 00:06:30,160 --> 00:06:38,520 Speaker 1: A You're listening to the Bloomberg Surveillance podcast. Catch us 106 00:06:38,560 --> 00:06:41,920 Speaker 1: Live weekday afternoons from seven to ten am Eastern Listen 107 00:06:41,960 --> 00:06:45,520 Speaker 1: on Applecarplay and Android Auto with the Bloomberg Business app 108 00:06:45,720 --> 00:06:47,440 Speaker 1: or watch us live on YouTube. 109 00:06:47,680 --> 00:06:50,640 Speaker 2: Joining us now deep in the summer, Lauren Seidelbaker, economist. 110 00:06:50,640 --> 00:06:55,120 Speaker 2: It a we lover work out of Wellesley and Boston University. 111 00:06:55,200 --> 00:06:57,840 Speaker 2: I'm going to audible right now. One of the greatest 112 00:06:57,960 --> 00:07:02,520 Speaker 2: views of Mount Washington, likes spiritual nineteenth century is from 113 00:07:02,520 --> 00:07:06,160 Speaker 2: the Conway North Conway area. Right, Yes, you go up 114 00:07:06,160 --> 00:07:09,160 Speaker 2: there a lot, can I get there's bar in the woods. 115 00:07:09,160 --> 00:07:10,760 Speaker 2: It's in the middle of nowhere. Right. 116 00:07:11,280 --> 00:07:13,600 Speaker 7: We have to get away from fed talk sometime. That's 117 00:07:13,640 --> 00:07:14,200 Speaker 7: where I go. 118 00:07:15,600 --> 00:07:18,040 Speaker 2: This is on the New Hampshire border with Maine. 119 00:07:18,320 --> 00:07:19,920 Speaker 8: Correct, the White Mountains, the. 120 00:07:19,880 --> 00:07:22,679 Speaker 2: White Mountain, But it's a different White mountains than driving 121 00:07:22,760 --> 00:07:23,120 Speaker 2: up the. 122 00:07:23,000 --> 00:07:27,320 Speaker 8: Interstates, you know, Washington Presidential Range. Yeah, it's a lovely 123 00:07:27,360 --> 00:07:28,000 Speaker 8: place to hike. 124 00:07:28,160 --> 00:07:30,239 Speaker 2: It's great. When's the snow pull back? June? 125 00:07:30,560 --> 00:07:34,120 Speaker 8: Oh, there has been snow every month of the year, Washington. 126 00:07:34,240 --> 00:07:37,360 Speaker 2: Yes, okay, Well, great to have you here. Welcome ninety 127 00:07:37,400 --> 00:07:39,800 Speaker 2: two nine FM up in Boston as well. We go 128 00:07:39,880 --> 00:07:43,760 Speaker 2: up to montcatad and mill Knocket. Good morning, Laurence Seidelbaker. 129 00:07:44,000 --> 00:07:48,680 Speaker 2: AI in its effect on our economy, do we understand 130 00:07:48,720 --> 00:07:52,440 Speaker 2: our productivity? Do we understand what's going on in technology. 131 00:07:52,800 --> 00:07:54,480 Speaker 7: I don't think we have a full grasp yet. I 132 00:07:54,520 --> 00:07:56,559 Speaker 7: think there's a lot more to be done with AI 133 00:07:56,600 --> 00:07:59,960 Speaker 7: in productivity, we to date haven't really seen the games. 134 00:08:00,080 --> 00:08:02,120 Speaker 7: We see the need right. We have a very tight 135 00:08:02,240 --> 00:08:06,120 Speaker 7: labor market. We still have very critical skills gaps. But overall, 136 00:08:06,160 --> 00:08:08,280 Speaker 7: I think we're still looking for those fits. I see 137 00:08:08,320 --> 00:08:11,080 Speaker 7: a lot of companies doing the throw money at the 138 00:08:11,080 --> 00:08:14,080 Speaker 7: problem approach to AI. They're telling their employees just use 139 00:08:14,120 --> 00:08:16,960 Speaker 7: it somehow. I don't care how, but do something with AI. 140 00:08:17,360 --> 00:08:19,720 Speaker 7: It's not always the most effective. It's not always the 141 00:08:19,720 --> 00:08:21,760 Speaker 7: most cost conscious way to use AI. 142 00:08:22,320 --> 00:08:25,040 Speaker 4: Lauren, I know in your research you work a lot 143 00:08:25,080 --> 00:08:26,520 Speaker 4: with small, mid sized companies. 144 00:08:27,240 --> 00:08:27,920 Speaker 5: How are they. 145 00:08:28,480 --> 00:08:34,000 Speaker 4: Dealing with tariffs, trade uncertainty, maybe a little bit of 146 00:08:34,040 --> 00:08:36,200 Speaker 4: inflation percolating out there, maybe a little bit of a 147 00:08:36,360 --> 00:08:37,280 Speaker 4: slowing economy. 148 00:08:37,280 --> 00:08:38,200 Speaker 5: How are they seeing things? 149 00:08:38,920 --> 00:08:41,079 Speaker 8: More than anything? They're in a weight and see mode. 150 00:08:41,440 --> 00:08:44,520 Speaker 7: We see this just with uncertainty with tariffs, with every 151 00:08:44,559 --> 00:08:47,560 Speaker 7: new policy that no one saw coming even a week ago. 152 00:08:48,200 --> 00:08:50,120 Speaker 7: Everyone just wants to know what they're up against. But 153 00:08:50,240 --> 00:08:53,040 Speaker 7: I'm getting the sense lately that that tide is turning. 154 00:08:53,280 --> 00:08:56,440 Speaker 7: I think we almost have uncertainty fatigue. At some point 155 00:08:56,559 --> 00:08:56,960 Speaker 7: you just. 156 00:08:56,840 --> 00:09:03,240 Speaker 2: Need to make for the show start there, Paul, So, Paul, 157 00:09:03,240 --> 00:09:05,840 Speaker 2: I think this is a really really important point. Golden 158 00:09:05,920 --> 00:09:09,840 Speaker 2: Sachs publishing this weekend with a three four five month rollout. 159 00:09:10,240 --> 00:09:14,240 Speaker 2: So do you buy the gradual roll into tariff angst 160 00:09:14,559 --> 00:09:16,880 Speaker 2: for our listeners and viewers or are you going to 161 00:09:16,880 --> 00:09:19,199 Speaker 2: be a Lauren Seidelbaker optimistic? 162 00:09:19,600 --> 00:09:22,120 Speaker 8: I can't be an optimist. I am an economist. After all, 163 00:09:22,160 --> 00:09:24,240 Speaker 8: those two are mutually exclusive. 164 00:09:24,320 --> 00:09:26,880 Speaker 7: But at the end of the day, we see businesses 165 00:09:26,960 --> 00:09:31,600 Speaker 7: really making decisions despite even something like tax implications, right 166 00:09:31,640 --> 00:09:33,600 Speaker 7: we talk about tax rates. We have found in our 167 00:09:33,640 --> 00:09:37,320 Speaker 7: analysis that does not materially change business profitability over the 168 00:09:37,360 --> 00:09:40,240 Speaker 7: long term, business investment over the long term. So it 169 00:09:40,240 --> 00:09:42,320 Speaker 7: seems like the business world they have a sense of what. 170 00:09:42,240 --> 00:09:43,040 Speaker 8: They need to do. 171 00:09:43,679 --> 00:09:46,320 Speaker 7: They've been through the NBA programs, right, they know the 172 00:09:46,320 --> 00:09:48,400 Speaker 7: theory behind it, and so it's just a matter of 173 00:09:48,720 --> 00:09:50,640 Speaker 7: doing it. At some point, we've had a multi month 174 00:09:50,760 --> 00:09:53,720 Speaker 7: uncertainty delay. We're starting to see the rubber meet the road. 175 00:09:54,280 --> 00:09:55,680 Speaker 4: How do you think the Federal Reserve is going to 176 00:09:55,679 --> 00:09:57,880 Speaker 4: react to all this uncertainty? What are you guys thinking 177 00:09:57,880 --> 00:09:58,200 Speaker 4: about that. 178 00:09:59,280 --> 00:10:02,559 Speaker 7: Really, I see inflation more than anything else being the 179 00:10:03,000 --> 00:10:06,120 Speaker 7: key to siding factor. Labor market, as I mentioned, still tight, 180 00:10:06,400 --> 00:10:09,120 Speaker 7: some cracks forming, but I still see general balance in 181 00:10:09,480 --> 00:10:11,840 Speaker 7: the labor side of things. It's really the inflation side 182 00:10:11,840 --> 00:10:14,400 Speaker 7: of the dual mandate where we are starting to get nervous. 183 00:10:14,880 --> 00:10:17,200 Speaker 7: I think tariffs are taking much more time to feed through. 184 00:10:17,280 --> 00:10:19,360 Speaker 7: So whether you believe tariffs are a one time step 185 00:10:19,440 --> 00:10:22,320 Speaker 7: up in prices, we see other fundamental pressures. I don't 186 00:10:22,320 --> 00:10:24,280 Speaker 7: think tariffs are really going to come through. The data 187 00:10:24,320 --> 00:10:26,760 Speaker 7: for between nine and eighteen months is on average how 188 00:10:26,760 --> 00:10:27,320 Speaker 7: long it takes. 189 00:10:27,360 --> 00:10:28,280 Speaker 8: So we're not there yet. 190 00:10:28,920 --> 00:10:31,760 Speaker 4: The consumer, the consumer seems to be kind of hanging 191 00:10:31,800 --> 00:10:35,040 Speaker 4: in there. I know there's a bifurcated sense of the consumer. 192 00:10:35,400 --> 00:10:37,520 Speaker 4: You know, the mid to high end doing quite well, 193 00:10:37,520 --> 00:10:38,960 Speaker 4: the lower and maybe struggling. 194 00:10:39,280 --> 00:10:40,720 Speaker 5: How do you thinking about the consumer? 195 00:10:41,040 --> 00:10:42,840 Speaker 7: All we can do is look at the median consumer. 196 00:10:42,920 --> 00:10:45,280 Speaker 7: So you're right, there's a lot going on beneath the surface. 197 00:10:45,600 --> 00:10:47,840 Speaker 7: If you own your home, if you're invested in equity 198 00:10:47,880 --> 00:10:51,040 Speaker 7: markets versus if you are really feeling this pinch of inflation. 199 00:10:51,480 --> 00:10:55,560 Speaker 7: Tariffs specifically they hit those lower income earners much more strongly. 200 00:10:55,600 --> 00:10:57,480 Speaker 8: That's just how the math works out. 201 00:10:57,760 --> 00:11:00,360 Speaker 7: But on median again, with a tight labor mark, more 202 00:11:00,400 --> 00:11:02,600 Speaker 7: folks can get jobs. Yes, there might need to be 203 00:11:02,679 --> 00:11:06,720 Speaker 7: some reskilling. There are some skills gaps that we still see, 204 00:11:07,000 --> 00:11:09,040 Speaker 7: but overall, more people making more money. 205 00:11:09,040 --> 00:11:10,840 Speaker 8: Wages are still outpacing inflation. 206 00:11:10,960 --> 00:11:13,520 Speaker 2: We go to eco go, they go to the lord's 207 00:11:13,520 --> 00:11:16,920 Speaker 2: sidele Baker. The CPI is a tickop. I mean basically 208 00:11:17,760 --> 00:11:20,840 Speaker 2: a CPIX food and energy month over month. McKee looks 209 00:11:20,880 --> 00:11:23,679 Speaker 2: at it. I don't point two to point three year 210 00:11:23,720 --> 00:11:26,640 Speaker 2: over year two point seven to two point eight regular 211 00:11:26,679 --> 00:11:29,560 Speaker 2: CPI two point nine to three point zero. I get 212 00:11:29,600 --> 00:11:31,800 Speaker 2: the nudge up. Do you look at that as a 213 00:11:31,840 --> 00:11:36,920 Speaker 2: linear function? Dare I say? Out there four percent top 214 00:11:37,000 --> 00:11:37,800 Speaker 2: line CPI? 215 00:11:38,240 --> 00:11:40,439 Speaker 8: I think that is well within the range of possibility. 216 00:11:40,480 --> 00:11:43,560 Speaker 2: What is the outcome of that? Forget double major Wellesley 217 00:11:43,679 --> 00:11:47,000 Speaker 2: Economics and religion. Yes, that means she went to Patriots, 218 00:11:47,000 --> 00:11:50,720 Speaker 2: stay red Sox baseball. Okay, you're religion major from Wellesley? 219 00:11:51,000 --> 00:11:54,560 Speaker 2: What is the political religion of this nation? The day 220 00:11:54,600 --> 00:11:55,959 Speaker 2: we print four percent? 221 00:11:57,360 --> 00:11:59,720 Speaker 7: At that point, I think the Fed has their hands tied. 222 00:12:00,080 --> 00:12:02,600 Speaker 7: I think we might see a couple more rate increases, 223 00:12:02,640 --> 00:12:04,960 Speaker 7: call it twenty five maybe fifty basis points. I know 224 00:12:05,440 --> 00:12:07,680 Speaker 7: I've been hearing talk of three cuts this year. I 225 00:12:07,679 --> 00:12:09,360 Speaker 7: think that's going to be a tough reason. 226 00:12:09,520 --> 00:12:11,600 Speaker 2: Some people out there are talking, say you're not listening 227 00:12:11,600 --> 00:12:14,960 Speaker 2: to show enough. Some people are talking seven rate cuts. 228 00:12:15,240 --> 00:12:17,600 Speaker 8: I've heard seven, and you're going to wait with you. 229 00:12:17,679 --> 00:12:21,640 Speaker 2: I love your optimism, seriously, folks. So she's here, But 230 00:12:21,880 --> 00:12:25,640 Speaker 2: if we get Lauren's Sidelbaker optimism, we get four percent 231 00:12:25,800 --> 00:12:29,880 Speaker 2: CPI what does that mean to our listeners and viewers? Besides, 232 00:12:29,880 --> 00:12:31,359 Speaker 2: a grocery store is expensive. 233 00:12:32,080 --> 00:12:33,760 Speaker 7: I think you can't be waiting for rates to go 234 00:12:33,880 --> 00:12:35,760 Speaker 7: back to the lows that they were just a few 235 00:12:35,840 --> 00:12:39,520 Speaker 7: years ago. I see rates going up, not down, and 236 00:12:39,640 --> 00:12:42,080 Speaker 7: again maybe a couple bumps in the road to get there. 237 00:12:42,120 --> 00:12:44,400 Speaker 8: But I really would be if. 238 00:12:44,320 --> 00:12:47,040 Speaker 7: You need to be doing borrowing or refinancing, now is 239 00:12:47,080 --> 00:12:47,840 Speaker 7: the time to do it. 240 00:12:47,880 --> 00:12:49,520 Speaker 8: I'm not waiting to time. 241 00:12:49,320 --> 00:12:52,160 Speaker 7: The low for the sake unless you're very, very interest 242 00:12:52,240 --> 00:12:55,040 Speaker 7: rate sensitive. The sake of twenty five maybe fifty basis points, 243 00:12:55,080 --> 00:12:57,800 Speaker 7: what are you for going? What's the opportunity cost of 244 00:12:57,800 --> 00:13:00,000 Speaker 7: that to risk timing that exact LFE. 245 00:13:00,120 --> 00:13:01,040 Speaker 8: I don't think it's worth it. 246 00:13:01,840 --> 00:13:04,880 Speaker 4: What's an unemployment rate that you think gets the Fed's 247 00:13:04,960 --> 00:13:06,160 Speaker 4: attention here, because right. 248 00:13:06,040 --> 00:13:07,439 Speaker 5: Now you mentioned you know, good question. 249 00:13:07,440 --> 00:13:10,319 Speaker 4: The labor market's pretty solid, although it's maybe it's tougher 250 00:13:10,360 --> 00:13:11,559 Speaker 4: to get a job than it was a couple of 251 00:13:11,640 --> 00:13:14,520 Speaker 4: years ago, but generally most people who want jobs have 252 00:13:14,640 --> 00:13:15,240 Speaker 4: their jobs. 253 00:13:15,480 --> 00:13:19,280 Speaker 5: Wages are growing three, four or five percent. What is 254 00:13:19,280 --> 00:13:20,280 Speaker 5: your view of the labor market. 255 00:13:20,520 --> 00:13:23,240 Speaker 7: So one metric that I'm looking at even more than 256 00:13:23,240 --> 00:13:26,719 Speaker 7: the unemployment rate, that's the balance between unemployed workers and 257 00:13:26,800 --> 00:13:30,720 Speaker 7: job openings. That's one point zero four, so just a 258 00:13:30,760 --> 00:13:35,680 Speaker 7: hair over one worker per available job opening. Now that balance, 259 00:13:35,880 --> 00:13:37,040 Speaker 7: I think we are in balance. 260 00:13:37,080 --> 00:13:39,120 Speaker 8: It's just that both of those numbers are lower. There 261 00:13:39,160 --> 00:13:41,559 Speaker 8: are relatively fewer job seekers right now. 262 00:13:41,840 --> 00:13:45,280 Speaker 7: We'll see that trend continue with negative net migration this year. 263 00:13:45,440 --> 00:13:46,160 Speaker 8: But we also have. 264 00:13:46,160 --> 00:13:49,800 Speaker 7: Fewer job openings as businesses they're just holding back, they're waiting. 265 00:13:49,960 --> 00:13:52,640 Speaker 7: So that balance, I think on both sides we can 266 00:13:52,679 --> 00:13:55,080 Speaker 7: be in balanced, even at lower levels. It's just easier 267 00:13:55,120 --> 00:13:56,120 Speaker 7: to knock it out of balance. 268 00:13:56,200 --> 00:13:58,760 Speaker 2: Out on YouTube, a brilliant live chat. Thank you so 269 00:13:58,880 --> 00:14:01,960 Speaker 2: much for this quote. The rich get richer, the poor 270 00:14:02,040 --> 00:14:05,120 Speaker 2: get poorer. I mean, that's really what this is about, 271 00:14:05,360 --> 00:14:08,959 Speaker 2: isn't it. The rich you know, don't care three point 272 00:14:08,960 --> 00:14:11,560 Speaker 2: eighty four percent, They're like whatever, just you know, by 273 00:14:11,600 --> 00:14:15,800 Speaker 2: the avocados, I mean, it's a partition of the country. Right. 274 00:14:16,840 --> 00:14:21,080 Speaker 7: At some point, again, many more of the wage gains 275 00:14:21,120 --> 00:14:23,440 Speaker 7: in the past couple of years had been concentrated at 276 00:14:23,480 --> 00:14:25,920 Speaker 7: the lower end of the the real wage. 277 00:14:26,080 --> 00:14:28,800 Speaker 2: Negative here with what Paul Swooney's talking about, right, you know, 278 00:14:28,880 --> 00:14:30,120 Speaker 2: higher inflation. 279 00:14:29,840 --> 00:14:30,480 Speaker 8: That's the risk. 280 00:14:30,840 --> 00:14:32,280 Speaker 7: We can only look at the media and I wish 281 00:14:32,360 --> 00:14:34,680 Speaker 7: we had more granular data across the board, but on 282 00:14:34,880 --> 00:14:37,360 Speaker 7: mediaan are our net consumers still doing better. 283 00:14:38,000 --> 00:14:40,680 Speaker 2: This has been great. Thank you for coming in from 284 00:14:40,680 --> 00:14:43,560 Speaker 2: New Hampshire. Yeah really, you know, appreciate it. 285 00:14:43,600 --> 00:14:44,520 Speaker 8: Thank you for having us. 286 00:14:44,600 --> 00:14:48,600 Speaker 2: Well, they're up there, you know water When I was 287 00:14:48,640 --> 00:14:51,520 Speaker 2: a kid, Oh, come on, Cannon Mountain, it's like the 288 00:14:51,560 --> 00:14:54,320 Speaker 2: ice age. I almost lost a child. This is over 289 00:14:54,360 --> 00:14:57,240 Speaker 2: in Vermont, folks. I literally had to hold on to 290 00:14:57,320 --> 00:15:00,240 Speaker 2: the middle child at the top of Jpeak. It's like 291 00:15:00,240 --> 00:15:03,360 Speaker 2: one hundred miles. It's not west. You gotta understand, Lauren 292 00:15:03,520 --> 00:15:06,400 Speaker 2: Sweeney doesn't ski the east. Now he's so large, he's 293 00:15:06,440 --> 00:15:08,360 Speaker 2: only doing Rocky Mountain High exactly. 294 00:15:08,480 --> 00:15:11,640 Speaker 4: I mean I grew up skiing all through New Hampshire, Vermont, 295 00:15:12,080 --> 00:15:14,040 Speaker 4: Ocono's you know, shout. 296 00:15:13,800 --> 00:15:16,800 Speaker 2: Out No, that's where I saw my first I saw 297 00:15:16,880 --> 00:15:20,280 Speaker 2: you at the Wobbley barat It was a few years ago. 298 00:15:20,400 --> 00:15:22,400 Speaker 4: Yep, got my first Wall Street Bonus check back in 299 00:15:22,440 --> 00:15:24,120 Speaker 4: the day. Haven't been back to you since. 300 00:15:24,520 --> 00:15:27,960 Speaker 2: Lauren Seidelbaker, thank you so much. ITR Economics, New Hampshire. 301 00:15:28,120 --> 00:15:32,040 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 302 00:15:32,040 --> 00:15:35,360 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 303 00:15:35,480 --> 00:15:38,440 Speaker 1: with the Bloomberg Business app. You can also listen live 304 00:15:38,520 --> 00:15:42,120 Speaker 1: on Amazon Alexa from our flagship New York station, Just 305 00:15:42,160 --> 00:15:44,680 Speaker 1: say Alexa play Bloomberg eleven thirty. 306 00:15:45,160 --> 00:15:48,560 Speaker 2: Last night we had a meeting This is with Surveillance 307 00:15:49,560 --> 00:15:54,360 Speaker 2: Senior executive producer Eric Mallow, Herder of Interns. Yep, it's 308 00:15:54,400 --> 00:15:57,000 Speaker 2: his new title, Herder of Interns. And we had a 309 00:15:57,040 --> 00:15:59,240 Speaker 2: list of people and at the top of the list 310 00:15:59,400 --> 00:16:03,520 Speaker 2: on Putin Trump in Alaska was Angela's stent. Her book 311 00:16:03,560 --> 00:16:07,360 Speaker 2: Putin's World is absolutely definitive. We are beyond honored to 312 00:16:07,400 --> 00:16:13,240 Speaker 2: have a conversation this morning with Angela Stent. Angela, if 313 00:16:13,280 --> 00:16:16,480 Speaker 2: you were in Alaska for this meeting, what would you 314 00:16:16,640 --> 00:16:18,480 Speaker 2: listen for from the two? 315 00:16:20,400 --> 00:16:23,600 Speaker 9: Well, I'm listening to see what it is that Putin 316 00:16:23,720 --> 00:16:27,280 Speaker 9: is proposing to President Trump. And so far it seems that, 317 00:16:27,720 --> 00:16:31,040 Speaker 9: you know, Ukraine is supposed to seed territory to Russia 318 00:16:31,080 --> 00:16:34,840 Speaker 9: that Russia doesn't even control and really not get very 319 00:16:34,920 --> 00:16:40,280 Speaker 9: much in return, maybe a freezing of the Catalines. And 320 00:16:40,440 --> 00:16:44,120 Speaker 9: with Trump, I'm listening to see does he really understand 321 00:16:44,160 --> 00:16:47,200 Speaker 9: that Putin isn't willing to stop this war that he's 322 00:16:47,240 --> 00:16:50,520 Speaker 9: being played. So those are the things that I would 323 00:16:50,520 --> 00:16:51,120 Speaker 9: be listening to. 324 00:16:51,400 --> 00:16:54,240 Speaker 2: And I look, Angela at this, and of course in 325 00:16:54,280 --> 00:16:57,800 Speaker 2: the Zeitgeist this morning is the build article in Germany 326 00:16:57,880 --> 00:17:01,240 Speaker 2: that they got the translation run. Do we have the 327 00:17:01,400 --> 00:17:06,040 Speaker 2: process and apparatus to prepare for Friday's meeting? I mean, 328 00:17:06,080 --> 00:17:09,080 Speaker 2: do we have administration in place that can do this? 329 00:17:10,240 --> 00:17:12,600 Speaker 9: So so far it doesn't appear that we do. I mean, 330 00:17:12,680 --> 00:17:15,640 Speaker 9: normally these kinds of summits are well prepared in advance, 331 00:17:15,960 --> 00:17:19,199 Speaker 9: their experienced diplomats or involved in them. This is the 332 00:17:19,280 --> 00:17:24,320 Speaker 9: result of, you know, a long conversation between Steve and Witkoff, 333 00:17:24,400 --> 00:17:27,719 Speaker 9: not a diplomat, not an expert on Russia and Vladimo Putin. 334 00:17:27,760 --> 00:17:31,000 Speaker 9: We don't know the contents of it, and so we 335 00:17:31,320 --> 00:17:33,760 Speaker 9: are really left in the dark about what the process 336 00:17:33,800 --> 00:17:36,600 Speaker 9: is in this. And the concern is that President Trump 337 00:17:36,600 --> 00:17:38,920 Speaker 9: will be there and then he doesn't have all the 338 00:17:38,960 --> 00:17:43,200 Speaker 9: backing he needs and the understanding going into this about 339 00:17:43,200 --> 00:17:44,840 Speaker 9: what prudent's actually trying to do. 340 00:17:45,800 --> 00:17:49,679 Speaker 5: What is the role, if any, for President Zelenski. 341 00:17:51,040 --> 00:17:54,359 Speaker 9: Well, so far, President Zelenski, of course, has been excluded 342 00:17:54,359 --> 00:17:56,800 Speaker 9: from this. The US and Russia are talking about his 343 00:17:56,880 --> 00:18:01,199 Speaker 9: own country. President Trump has spoken to him, He's in 344 00:18:01,440 --> 00:18:04,520 Speaker 9: He's Zelenski's in very close contact with the Europeans. The 345 00:18:04,560 --> 00:18:07,639 Speaker 9: Europeans are trying to impress on President Trump that he 346 00:18:07,720 --> 00:18:11,960 Speaker 9: has to go into this clear eye and realistic about. 347 00:18:11,680 --> 00:18:13,000 Speaker 10: What Putin is trying to do. 348 00:18:13,720 --> 00:18:17,600 Speaker 9: But to think about two countries trading away another country's 349 00:18:17,680 --> 00:18:21,080 Speaker 9: territory without that country being present, I think that theres 350 00:18:21,880 --> 00:18:23,560 Speaker 9: a lot of thinking about. 351 00:18:23,960 --> 00:18:26,960 Speaker 4: Does President Putin have any intention to sign a ceasefire 352 00:18:27,680 --> 00:18:29,320 Speaker 4: on Friday or even discussing it? 353 00:18:29,560 --> 00:18:30,800 Speaker 10: I very much doubt it. 354 00:18:30,920 --> 00:18:32,879 Speaker 9: I think what he's trying to do is to probe 355 00:18:32,880 --> 00:18:35,439 Speaker 9: and see how much he can get from President Trump. 356 00:18:35,520 --> 00:18:37,520 Speaker 10: So I would not hold your breath on. 357 00:18:37,440 --> 00:18:40,119 Speaker 2: That, Angela. Get the drama. Max Putin writes it up 358 00:18:40,160 --> 00:18:42,720 Speaker 2: in the Washington Post and others, And we don't need 359 00:18:42,760 --> 00:18:45,439 Speaker 2: to do a history lesson in nineteen thirty eight Munich, 360 00:18:45,480 --> 00:18:49,320 Speaker 2: where Neville Chamberlain gave away a piece of Czechoslovakia and 361 00:18:49,359 --> 00:18:52,880 Speaker 2: look what happened. But do you see that moment here? 362 00:18:53,080 --> 00:18:55,879 Speaker 2: I mean, these two world leaders, do we, Angela? Do 363 00:18:55,920 --> 00:18:58,320 Speaker 2: we know where they're going to meet in Alaska? Yet? 364 00:18:59,400 --> 00:19:01,360 Speaker 9: I don't know what they're going to meet in Alaska? 365 00:19:02,200 --> 00:19:05,240 Speaker 9: And it's interesting. So for Putin, all he has to 366 00:19:05,280 --> 00:19:07,680 Speaker 9: do is fly over Russia. If he were to meet 367 00:19:07,680 --> 00:19:10,320 Speaker 9: Trump in many other places, he probably couldn't because there 368 00:19:10,320 --> 00:19:11,920 Speaker 9: are a lot of countries he can't fly over. 369 00:19:11,960 --> 00:19:14,840 Speaker 10: Because it's interesting. Interesting, So we. 370 00:19:14,840 --> 00:19:17,119 Speaker 2: Don't know, Okay, So maybe they're going to meet on 371 00:19:17,119 --> 00:19:19,680 Speaker 2: those two islands. They can wave at each other across 372 00:19:19,720 --> 00:19:24,360 Speaker 2: the bearing straight Angela's stent discuss what's in the zeitgeist 373 00:19:24,359 --> 00:19:28,680 Speaker 2: this morning of illusions to two years before World War Two? 374 00:19:30,960 --> 00:19:33,760 Speaker 10: Well, I think you know two years before World War two? 375 00:19:33,880 --> 00:19:36,320 Speaker 9: If you think about Neville Chamberlain, I mean he was 376 00:19:36,359 --> 00:19:40,159 Speaker 9: trying to postpone a war because you know, he and 377 00:19:40,200 --> 00:19:43,840 Speaker 9: he believed that if he just gave Hitler what he wanted, 378 00:19:44,640 --> 00:19:46,920 Speaker 9: which was, you know, talking about what was happening to 379 00:19:46,920 --> 00:19:48,920 Speaker 9: the Zudatelane, then there wouldn't be a war. 380 00:19:50,800 --> 00:19:52,760 Speaker 10: I think we may still be at that point. 381 00:19:52,840 --> 00:19:56,760 Speaker 9: I think there's enough a full comprehension among the in 382 00:19:56,840 --> 00:20:00,560 Speaker 9: the Trump administration that you know that from Putin. The 383 00:20:00,600 --> 00:20:04,040 Speaker 9: subordination of Ukraine is the goal now, but it's the 384 00:20:04,080 --> 00:20:09,439 Speaker 9: first step towards really retaking influence and land in what 385 00:20:09,600 --> 00:20:13,520 Speaker 9: used to be the former Soviet Union. Putin has expansionist aims, 386 00:20:13,800 --> 00:20:16,720 Speaker 9: and I think maybe in nineteen thirty eight mister Chamberlain 387 00:20:16,880 --> 00:20:21,040 Speaker 9: didn't understand exactly what Hitler's expansionist aims were. So I 388 00:20:21,040 --> 00:20:24,280 Speaker 9: think people need to understand what this is about. And 389 00:20:24,320 --> 00:20:28,399 Speaker 9: I'm sure that that's not fully appreciated in the White House. 390 00:20:28,440 --> 00:20:29,040 Speaker 10: Yet. 391 00:20:29,560 --> 00:20:34,080 Speaker 4: It seems, Angela that most world leaders around the world 392 00:20:34,200 --> 00:20:36,439 Speaker 4: have bent their need to President Trump, whether it's on 393 00:20:36,520 --> 00:20:40,399 Speaker 4: tariffs or other issues. That's not the case with mister Putin. 394 00:20:42,119 --> 00:20:44,960 Speaker 4: Does he how do you think he've vieused President Trump 395 00:20:45,040 --> 00:20:45,760 Speaker 4: and the administration. 396 00:20:46,920 --> 00:20:47,880 Speaker 10: Well, I think he. 397 00:20:47,760 --> 00:20:50,560 Speaker 9: Believes that mister Trump really wants to have a better 398 00:20:50,640 --> 00:20:54,160 Speaker 9: relationship with Russia. Trump started out by saying we need 399 00:20:54,200 --> 00:20:57,840 Speaker 9: to reset and improve relations. I think the Russians understand 400 00:20:58,000 --> 00:21:01,800 Speaker 9: that there's inconsistency in the position of the Trump administration. 401 00:21:01,880 --> 00:21:03,960 Speaker 9: They're going to push as far as they can. This 402 00:21:04,119 --> 00:21:06,680 Speaker 9: is the old if you like Soviet style of negotiation. 403 00:21:07,400 --> 00:21:10,480 Speaker 9: What's mine is mine and what is what's us as negotiable. 404 00:21:10,760 --> 00:21:13,600 Speaker 9: So I think they still believe that they can get 405 00:21:13,640 --> 00:21:17,040 Speaker 9: President Trump to agree to terms that would be really 406 00:21:17,240 --> 00:21:20,600 Speaker 9: very unfavorable for Ukraine and would give Russia most of 407 00:21:20,680 --> 00:21:21,359 Speaker 9: what it wants. 408 00:21:21,440 --> 00:21:24,960 Speaker 2: Angel Ston, the cover of your book, Putin's World, folks, 409 00:21:24,960 --> 00:21:26,840 Speaker 2: it was my book, I think I can't remember, Paul 410 00:21:26,880 --> 00:21:28,119 Speaker 2: if it was Book of the Year, Book of the 411 00:21:28,160 --> 00:21:32,080 Speaker 2: sor whatever. Read the book Putin's World, Angela Stent with 412 00:21:32,160 --> 00:21:35,000 Speaker 2: a new chapter out now. Bill Burns, who has a 413 00:21:35,040 --> 00:21:38,280 Speaker 2: little bit of experience at CIA, says Putin's World is 414 00:21:38,320 --> 00:21:42,600 Speaker 2: a definitive guide to understanding the tangled history of post 415 00:21:42,640 --> 00:21:45,119 Speaker 2: Cold War Russia and its place in the world. You 416 00:21:45,200 --> 00:21:47,600 Speaker 2: got a great photo on the cover, Angela. I'm sure 417 00:21:47,600 --> 00:21:50,600 Speaker 2: you picked it out of the forty seven foot table 418 00:21:50,920 --> 00:21:53,160 Speaker 2: with mister Putin sitting at one end, and I think 419 00:21:53,200 --> 00:21:56,320 Speaker 2: mister mccaran said at the other end. That's not going 420 00:21:56,359 --> 00:21:59,120 Speaker 2: to be Alaska. Is it going to be all smilies 421 00:21:59,200 --> 00:22:02,320 Speaker 2: and you know, arm patting and all that. I mean, 422 00:22:02,400 --> 00:22:03,719 Speaker 2: is it going to be touchy feely? 423 00:22:05,280 --> 00:22:06,240 Speaker 10: It may well be. 424 00:22:06,440 --> 00:22:09,240 Speaker 9: I mean, you've seen the pictures of mister Whitcoff and 425 00:22:09,280 --> 00:22:12,560 Speaker 9: put mister Whitcoff putting his hand on his heart, smiling, 426 00:22:12,880 --> 00:22:16,040 Speaker 9: shaking his hand. I don't know what President Trump will do, 427 00:22:16,640 --> 00:22:18,919 Speaker 9: but it's not going to be this long table. So 428 00:22:20,080 --> 00:22:22,320 Speaker 9: there will be smiles, at least for the public. 429 00:22:22,440 --> 00:22:25,080 Speaker 2: Azo you're not old enough to remember this. I remember 430 00:22:25,119 --> 00:22:28,639 Speaker 2: when khrushchef took a shoe off and pounded in the UN. 431 00:22:28,960 --> 00:22:32,760 Speaker 2: Have we treated Khrushchev or Bresnem or Stylin or dare 432 00:22:32,760 --> 00:22:37,600 Speaker 2: I say Lenin? Have we treated them like the administration's 433 00:22:37,640 --> 00:22:40,440 Speaker 2: treating mister Putin. It's absolutely original, isn't it. 434 00:22:41,080 --> 00:22:44,160 Speaker 9: Oh, it's completely original. No, we were very suspicious of them. 435 00:22:44,720 --> 00:22:47,600 Speaker 9: They were communists. We knew that they were at least 436 00:22:47,600 --> 00:22:50,200 Speaker 9: officially committed to taking over the world. 437 00:22:50,280 --> 00:22:51,640 Speaker 10: We were very wary with them. 438 00:22:51,840 --> 00:22:55,960 Speaker 9: Having said that, you know, Nixon and Brezhnev you know, 439 00:22:56,080 --> 00:22:58,760 Speaker 9: did shake each other's hand. We're all smiles. Bren have 440 00:22:58,880 --> 00:23:01,960 Speaker 9: visited the US, drove around in big cost so there 441 00:23:01,960 --> 00:23:04,280 Speaker 9: was some of that. But this is a very different 442 00:23:04,280 --> 00:23:07,000 Speaker 9: feel to what it was like impossible during the Cold War. 443 00:23:07,240 --> 00:23:10,440 Speaker 2: This is just it's like the new season is slow horses. 444 00:23:10,960 --> 00:23:14,080 Speaker 2: I mean, mister Trump and mister Whitcoff and al should 445 00:23:14,119 --> 00:23:16,600 Speaker 2: just watch slow horses. I mean, that's what the that's 446 00:23:16,600 --> 00:23:17,840 Speaker 2: how they go prepared for. 447 00:23:18,160 --> 00:23:21,280 Speaker 4: So, Angela, is there a scenario here where I don't know, 448 00:23:21,440 --> 00:23:24,879 Speaker 4: some kind of deal gets signed between Russia and President Trump, 449 00:23:24,880 --> 00:23:27,080 Speaker 4: and if I'm a Ukraine I'm just sitting on the 450 00:23:27,080 --> 00:23:29,120 Speaker 4: outside saying what do I do here? 451 00:23:29,160 --> 00:23:32,359 Speaker 10: I mean that is that eveninitely a scenario? 452 00:23:32,600 --> 00:23:35,240 Speaker 9: I mean the Russian goal is to sign and agree 453 00:23:35,400 --> 00:23:38,840 Speaker 9: with President Trump it's favorable toward Russia and then blame 454 00:23:38,920 --> 00:23:42,320 Speaker 9: the Ukrainians if it doesn't work out, because the Ukrainians 455 00:23:42,320 --> 00:23:44,720 Speaker 9: are not going to sign onto a deal that status 456 00:23:44,800 --> 00:23:47,640 Speaker 9: advantageous for them, and the Europeans are going to back 457 00:23:47,680 --> 00:23:51,160 Speaker 9: them in this. So that's definitely a scenario that some 458 00:23:51,240 --> 00:23:53,800 Speaker 9: deal is signed between the US and Russia, but in 459 00:23:53,800 --> 00:23:55,760 Speaker 9: fact the Ukrainians won't accept it. 460 00:23:55,880 --> 00:23:59,080 Speaker 2: And just said one final serious question. Then this goes 461 00:23:59,119 --> 00:24:03,000 Speaker 2: back to mister Gates and Condaliza Rice. I believe in Belgrade. 462 00:24:03,480 --> 00:24:06,000 Speaker 2: I mean, I get it. There's territory in eastern Ukraine 463 00:24:06,040 --> 00:24:10,160 Speaker 2: and they've got four acres of Russia. It comes back 464 00:24:10,200 --> 00:24:15,000 Speaker 2: to the emotion of Crimea. Will that even be discussed 465 00:24:15,040 --> 00:24:20,000 Speaker 2: at this meeting about the sheer reality of Crimea on 466 00:24:20,080 --> 00:24:22,399 Speaker 2: the Black Sea? 467 00:24:22,600 --> 00:24:24,840 Speaker 9: I don't know whether it'll be discussed, but it really 468 00:24:24,880 --> 00:24:26,879 Speaker 9: doesn't seem to be an issue. I mean, I think 469 00:24:27,040 --> 00:24:30,840 Speaker 9: the Trump administration is assuming that the Ukrainians can't do 470 00:24:30,880 --> 00:24:33,880 Speaker 9: anything about the annexation of Crimea, and that they will 471 00:24:33,920 --> 00:24:35,480 Speaker 9: at least day facto. 472 00:24:35,560 --> 00:24:38,440 Speaker 2: I have to recognize, what do you need from Secretary Rubio? 473 00:24:40,040 --> 00:24:44,159 Speaker 9: Well, I think Secretary Rubio needs to, you know, to 474 00:24:44,280 --> 00:24:47,639 Speaker 9: make sure that concessions are not made to Putin that 475 00:24:47,680 --> 00:24:50,760 Speaker 9: are not warranted. He seems to he I think, understands 476 00:24:50,760 --> 00:24:54,280 Speaker 9: the situation pretty well. He was previously at least a 477 00:24:54,359 --> 00:24:58,040 Speaker 9: hawk on Russia, so he needs to somehow be a 478 00:24:58,080 --> 00:24:59,520 Speaker 9: restraining factor in. 479 00:24:59,520 --> 00:25:03,600 Speaker 2: This wonderful This was great. Paul Angelas Stin, thank you 480 00:25:03,680 --> 00:25:06,399 Speaker 2: so much. On Putin's World, we begin our coverage of 481 00:25:06,440 --> 00:25:11,439 Speaker 2: this historic summit meeting. It is scheduled for Friday. David 482 00:25:11,480 --> 00:25:13,840 Speaker 2: Girl will join us later in the show this morning 483 00:25:13,880 --> 00:25:16,879 Speaker 2: to provide further briefing. It is a story on a 484 00:25:16,960 --> 00:25:19,439 Speaker 2: move to say the least. 485 00:25:24,400 --> 00:25:28,280 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 486 00:25:28,320 --> 00:25:31,719 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 487 00:25:31,760 --> 00:25:34,600 Speaker 1: with the Bloomberg Business app. You can also watch us 488 00:25:34,640 --> 00:25:38,440 Speaker 1: live every weekday on YouTube and always on the Bloomberg Terminal. 489 00:25:38,520 --> 00:25:42,159 Speaker 2: Jeffrey Meacham joins now from City Group with an acclaimed career. 490 00:25:42,760 --> 00:25:46,440 Speaker 2: Counting the free cash flow of healthcare. How much in 491 00:25:46,520 --> 00:25:49,720 Speaker 2: a value trap is a healthcare sector right now? Jeffrey, 492 00:25:51,840 --> 00:25:52,600 Speaker 2: it's pretty bad. 493 00:25:52,680 --> 00:25:58,240 Speaker 11: I would say, I think the main catalyst is getting 494 00:25:58,240 --> 00:26:01,800 Speaker 11: over this policy of worry. But for sure, though these 495 00:26:01,840 --> 00:26:06,800 Speaker 11: companies and large cap pharma, you know, devices, services, et cetera, 496 00:26:07,000 --> 00:26:11,199 Speaker 11: are generating a ton of cash. You're totally right, But 497 00:26:11,280 --> 00:26:13,560 Speaker 11: we just have to get through the you know, the 498 00:26:13,560 --> 00:26:17,119 Speaker 11: policy over hanks that you know that been prevalent pretty 499 00:26:17,200 --> 00:26:17,879 Speaker 11: much all year. 500 00:26:17,800 --> 00:26:20,960 Speaker 2: Full disclosure, folks. They have a huge bias to Eli Lilly. 501 00:26:21,119 --> 00:26:24,120 Speaker 2: Some of the FAMI is from Indiana and we're original 502 00:26:24,160 --> 00:26:27,120 Speaker 2: shareholders back you know when the covered wagons were there. 503 00:26:27,240 --> 00:26:31,920 Speaker 2: ELI Lilly last ten years twenty six zero point ninety 504 00:26:32,000 --> 00:26:36,560 Speaker 2: seven five percent per year. What, Yes, Eli Lilly is 505 00:26:36,600 --> 00:26:41,639 Speaker 2: a mag seven performance Jeffrey Meacham. It's tanked the last 506 00:26:41,680 --> 00:26:45,679 Speaker 2: twelve months down whatever huge amount down? Is this the 507 00:26:45,760 --> 00:26:49,880 Speaker 2: by opportunity of a lifetime in the giant of Indianapolis. 508 00:26:51,400 --> 00:26:52,600 Speaker 2: I really do think so. 509 00:26:52,840 --> 00:26:55,560 Speaker 11: I mean, honestly, if you look at the past week, 510 00:26:55,680 --> 00:26:59,359 Speaker 11: let's just let's just go back there. The second quarter was, 511 00:26:59,480 --> 00:27:03,399 Speaker 11: you know, was fantastic. We didn't see as much or 512 00:27:03,480 --> 00:27:07,880 Speaker 11: we really saw no resilience, but not as many issues 513 00:27:07,920 --> 00:27:10,400 Speaker 11: as Novo had for sure. In fact, you know they're 514 00:27:10,440 --> 00:27:15,520 Speaker 11: gaining share, you know, growth rate raising, guidance, growth rate higher. 515 00:27:16,359 --> 00:27:19,520 Speaker 11: I think the one you know, kind of negative surprise 516 00:27:19,680 --> 00:27:23,919 Speaker 11: was the orphiklepron data the oral GLP one and you 517 00:27:23,920 --> 00:27:26,720 Speaker 11: know that's what happens when you have a higher multiple stock, 518 00:27:26,880 --> 00:27:29,560 Speaker 11: you know, and people expect, you know, twelve fifteen percent 519 00:27:29,600 --> 00:27:34,000 Speaker 11: weight loss and it's literally only eleven. So that's a 520 00:27:34,160 --> 00:27:39,720 Speaker 11: massive overcorrection, right that I think is completely ridiculous. We're 521 00:27:39,760 --> 00:27:41,439 Speaker 11: going to look back in about a year from now 522 00:27:41,440 --> 00:27:44,840 Speaker 11: when this drug launches and you know it's several billion 523 00:27:44,960 --> 00:27:46,040 Speaker 11: in the first month. 524 00:27:46,720 --> 00:27:50,960 Speaker 2: That laugh at this, I suspect, Paul, do you see 525 00:27:51,000 --> 00:27:53,720 Speaker 2: that for Bloomberg Radio? You're missing this moment On YouTube 526 00:27:53,760 --> 00:27:56,680 Speaker 2: you can observe it. Mister Meacham has the gold trim 527 00:27:56,720 --> 00:27:59,639 Speaker 2: behind him. Sure in his YouTube video shot. Just like 528 00:27:59,680 --> 00:28:01,880 Speaker 2: the isn't it? Just like it's like, you know, the whole, 529 00:28:02,040 --> 00:28:03,159 Speaker 2: the whole houses. 530 00:28:02,920 --> 00:28:04,320 Speaker 5: Styles and new styles. 531 00:28:04,600 --> 00:28:09,200 Speaker 4: Jeffrey, can you summarize what the regulatory or policy overhang 532 00:28:09,320 --> 00:28:12,040 Speaker 4: is for healthcare right at the moment and how you 533 00:28:12,080 --> 00:28:12,840 Speaker 4: think it might play out? 534 00:28:14,440 --> 00:28:16,920 Speaker 11: Yeah, I think the first thing is m f N, Right, 535 00:28:16,960 --> 00:28:19,320 Speaker 11: So m f N is a situation where you know, 536 00:28:19,400 --> 00:28:23,960 Speaker 11: most favored nation where there has to be delineation of pricing, 537 00:28:24,880 --> 00:28:27,959 Speaker 11: how US compares the o U S pricing And it's complicated, 538 00:28:28,000 --> 00:28:30,280 Speaker 11: and I think at the end of the day, Trump 539 00:28:30,400 --> 00:28:34,359 Speaker 11: just wants to have a win where the US pharma 540 00:28:34,440 --> 00:28:38,800 Speaker 11: companies get higher prices from you know, from Europe. So 541 00:28:39,000 --> 00:28:41,080 Speaker 11: how that's going to take form, I think it's it's 542 00:28:41,080 --> 00:28:44,520 Speaker 11: really not clear at this point. The second thing is 543 00:28:44,680 --> 00:28:48,360 Speaker 11: pharma tariffs, and that's a lot more simple, and that 544 00:28:48,520 --> 00:28:52,520 Speaker 11: just is justifying you know, companies bringing on board new 545 00:28:52,600 --> 00:28:55,840 Speaker 11: manufacturing sites, et cetera. And that I think is you know, 546 00:28:56,840 --> 00:28:59,160 Speaker 11: more likely to be resolved I think by the end 547 00:28:59,200 --> 00:29:02,080 Speaker 11: of the year. And you know, and as Trump has 548 00:29:02,120 --> 00:29:04,840 Speaker 11: said in the past, it's been a bit of a 549 00:29:05,200 --> 00:29:08,400 Speaker 11: weight in right. You have like essentially, you know, twelve eighteen, 550 00:29:08,520 --> 00:29:13,280 Speaker 11: twenty four months to bring those manufacturing plants you know, 551 00:29:13,360 --> 00:29:16,920 Speaker 11: and facilities here to the US. And then the last 552 00:29:16,920 --> 00:29:18,920 Speaker 11: one it's a little bit more nebulous. I'm not sure 553 00:29:18,960 --> 00:29:25,000 Speaker 11: about PBM reform. That's that affects the industry indirectly. And 554 00:29:25,080 --> 00:29:28,560 Speaker 11: the other piece is just looking at things like you know, 555 00:29:28,760 --> 00:29:31,560 Speaker 11: vaccines and how that you know that policy is going 556 00:29:31,640 --> 00:29:34,960 Speaker 11: to play out. So it's mostly BARMA tariffs and MFN 557 00:29:35,000 --> 00:29:36,160 Speaker 11: has been the biggest overhang. 558 00:29:36,680 --> 00:29:39,160 Speaker 4: Does any of that result in lower drug prices for 559 00:29:39,320 --> 00:29:40,080 Speaker 4: US consumers? 560 00:29:42,040 --> 00:29:43,360 Speaker 2: I suspect it will. 561 00:29:43,440 --> 00:29:47,440 Speaker 11: But the one so, the one angle in MFN is 562 00:29:48,040 --> 00:29:51,000 Speaker 11: is a consumer base, you know, and this is what 563 00:29:51,040 --> 00:29:54,680 Speaker 11: Trump has mentioned. It's actually pretty insightful if you look 564 00:29:54,720 --> 00:29:59,040 Speaker 11: at the you know, the US in drug industry, it's 565 00:29:59,080 --> 00:30:01,880 Speaker 11: mostly been just like Europe, it's been paid for by 566 00:30:01,960 --> 00:30:06,160 Speaker 11: medicare or you know, private insurance or corporate insurance. A 567 00:30:06,240 --> 00:30:09,440 Speaker 11: drug like Warford glipbarm for obesity is perfect for this, 568 00:30:09,560 --> 00:30:11,920 Speaker 11: right if you think about, you know, how much out 569 00:30:11,920 --> 00:30:14,160 Speaker 11: of pocket is it worth to you? You know, And 570 00:30:14,240 --> 00:30:18,200 Speaker 11: so that's something where Trump is trying to evolve the 571 00:30:18,320 --> 00:30:21,400 Speaker 11: consumer angle into this, and I think I think that's 572 00:30:21,440 --> 00:30:23,920 Speaker 11: a smart strategy. And every company we've talked to in 573 00:30:24,000 --> 00:30:27,560 Speaker 11: major pharma this quarter has talked about Yeah that we're 574 00:30:27,600 --> 00:30:29,600 Speaker 11: trying to figure out how that would play out, but 575 00:30:30,120 --> 00:30:32,760 Speaker 11: I think that would if you if you carve out 576 00:30:32,800 --> 00:30:36,160 Speaker 11: the PBM industry, you know, they you know, up charge 577 00:30:36,400 --> 00:30:39,560 Speaker 11: I don't know, eight ten, fifteen percent in some cases 578 00:30:39,640 --> 00:30:43,760 Speaker 11: maybe more. That could save the US you know, consumer 579 00:30:43,800 --> 00:30:44,320 Speaker 11: a ton. 580 00:30:44,560 --> 00:30:47,000 Speaker 2: Jeffrey, do you have a single best buyke? We talked Lily, 581 00:30:47,080 --> 00:30:49,720 Speaker 2: but is there a Jeffrey Meacham single best buy right now? 582 00:30:50,600 --> 00:30:51,680 Speaker 2: I would say Lily. 583 00:30:52,640 --> 00:30:54,840 Speaker 11: Lily in Vertex of the two that we've liked, and 584 00:30:54,920 --> 00:30:58,680 Speaker 11: both have been really shelled and asked stuff that was 585 00:30:58,760 --> 00:31:03,560 Speaker 11: a month or so. But Vertex is one where you know, look, 586 00:31:03,600 --> 00:31:07,040 Speaker 11: they have assistant Vibrosa's business which is you know, which 587 00:31:07,080 --> 00:31:11,520 Speaker 11: is legendary. I mean it's fifteen billion peak potential, you know, 588 00:31:11,800 --> 00:31:14,840 Speaker 11: very high margin, but they need an Encore and they've 589 00:31:14,880 --> 00:31:17,880 Speaker 11: struggled with that, and they have a pain franchise, they 590 00:31:17,920 --> 00:31:19,560 Speaker 11: have a sickle cell cell therapy. 591 00:31:20,400 --> 00:31:20,840 Speaker 2: All that. 592 00:31:21,040 --> 00:31:25,520 Speaker 11: It's all tracking, but no one's worried about the underlying 593 00:31:25,560 --> 00:31:28,400 Speaker 11: based business right and yet the multiple again has come 594 00:31:28,440 --> 00:31:31,560 Speaker 11: in a ton. But those two are the best growers 595 00:31:31,600 --> 00:31:33,320 Speaker 11: I think in large cat therapeutics. 596 00:31:33,320 --> 00:31:35,520 Speaker 2: This has been a pleasure. Jeffrey Mentium, thank you so 597 00:31:35,600 --> 00:31:36,440 Speaker 2: much for City Group. 598 00:31:36,560 --> 00:31:40,480 Speaker 1: This is the Bloomberg Surveillance Podcast. Listen live each weekday 599 00:31:40,480 --> 00:31:43,800 Speaker 1: starting at seven am Eastern on Applecarplay and Android Auto 600 00:31:43,920 --> 00:31:46,880 Speaker 1: with the Bloomberg Business app. You can also listen live 601 00:31:46,960 --> 00:31:50,520 Speaker 1: on Amazon Alexa from our flagship New York station, Just 602 00:31:50,600 --> 00:31:53,120 Speaker 1: say Alexa play Bloomberg eleven thirty. 603 00:31:53,280 --> 00:31:56,000 Speaker 2: The newspapers is actually worked all weekend on this. I mean, 604 00:31:56,040 --> 00:31:58,880 Speaker 2: it's just amazing. I mean she goes twenty four to 605 00:31:58,880 --> 00:32:01,680 Speaker 2: seven to prepare for this. The newspapers would Lisa, and 606 00:32:02,080 --> 00:32:02,960 Speaker 2: the Monday edition. 607 00:32:03,120 --> 00:32:03,880 Speaker 10: The Monday edition. 608 00:32:04,120 --> 00:32:06,120 Speaker 6: Okay, so I'm not sure if either you ever received 609 00:32:06,120 --> 00:32:08,520 Speaker 6: a ticket in the mail for speeding or those red 610 00:32:08,600 --> 00:32:10,640 Speaker 6: light cameras I hacking. 611 00:32:10,960 --> 00:32:15,480 Speaker 4: My vespa inappropriately at the beach, got it in the mail? 612 00:32:14,920 --> 00:32:20,520 Speaker 5: What I the spot that was not a dedicated parking spot. 613 00:32:20,840 --> 00:32:23,520 Speaker 5: Boom spring lay hit me up for fifty five big ones. 614 00:32:23,600 --> 00:32:26,080 Speaker 6: Oh my god, yeah, are you going to go to court? 615 00:32:26,760 --> 00:32:29,360 Speaker 4: No, but a woman says she doesn't pay her tickets. 616 00:32:29,360 --> 00:32:31,120 Speaker 4: She says there's no sign. It says I can't pay. 617 00:32:31,320 --> 00:32:32,880 Speaker 4: I can't park here, so I'm not going to pay. 618 00:32:33,080 --> 00:32:35,400 Speaker 6: Well, that's the thing. So people are getting mail tickets right. 619 00:32:35,440 --> 00:32:36,680 Speaker 6: I don't know if you get one for the Vesta 620 00:32:36,760 --> 00:32:38,720 Speaker 6: for the noise, because it's not a noisy. It's not 621 00:32:38,760 --> 00:32:42,040 Speaker 6: like a Harley or anything like that. But there are 622 00:32:42,360 --> 00:32:45,800 Speaker 6: some noise cameras that are giving people and sending them 623 00:32:45,840 --> 00:32:47,400 Speaker 6: in the mail, you know, just like the red light, 624 00:32:47,560 --> 00:32:48,960 Speaker 6: just like the speeding tickets that I've. 625 00:32:48,800 --> 00:32:52,479 Speaker 8: Gotten to from that. So they're starting to go up. 626 00:32:53,080 --> 00:32:55,400 Speaker 6: Tickets can range anywhere from fifty dollars all the way 627 00:32:55,400 --> 00:32:58,600 Speaker 6: to eight hundred dollars. People are getting tickets for these noises. 628 00:32:58,680 --> 00:33:01,080 Speaker 6: And we're talking about loud. Is it coming from it right? 629 00:33:01,520 --> 00:33:04,880 Speaker 6: The revving engines, the mufflers that people make on purpose 630 00:33:05,000 --> 00:33:05,920 Speaker 6: to beat. 631 00:33:05,760 --> 00:33:06,360 Speaker 8: Up the sound. 632 00:33:07,000 --> 00:33:10,160 Speaker 6: It comes from the municipality. So there are noise cameras 633 00:33:10,400 --> 00:33:13,840 Speaker 6: that are out there and they're tracking as cars go 634 00:33:13,920 --> 00:33:17,080 Speaker 6: by to see how loud their car is, and if 635 00:33:17,120 --> 00:33:18,600 Speaker 6: it's over a certain decipel you. 636 00:33:18,560 --> 00:33:19,800 Speaker 5: Will get a ticket in the mail. 637 00:33:19,880 --> 00:33:21,040 Speaker 8: And people are getting these. 638 00:33:21,280 --> 00:33:23,680 Speaker 6: I mean especially Newport Rhode Island is a big spot 639 00:33:23,720 --> 00:33:26,320 Speaker 6: because people are saying, who live there. The tourists come 640 00:33:26,360 --> 00:33:28,000 Speaker 6: in and they're making all this racket and we don't 641 00:33:28,000 --> 00:33:30,560 Speaker 6: want it anymore. But New York City is actually the 642 00:33:30,640 --> 00:33:33,960 Speaker 6: number one noise camera at the center. I wasn't aware 643 00:33:33,960 --> 00:33:36,160 Speaker 6: of this, but they're fine. Started at eight hundred dollars, 644 00:33:36,200 --> 00:33:38,360 Speaker 6: they've already issued more than twenty five hundred tickets since 645 00:33:38,400 --> 00:33:41,080 Speaker 6: twenty twenty one, so they're really really sending this out. 646 00:33:41,120 --> 00:33:42,520 Speaker 6: But like you said, people aren't paid. 647 00:33:42,640 --> 00:33:44,160 Speaker 4: I like the signs in New York City to say 648 00:33:44,160 --> 00:33:47,280 Speaker 4: don't honk your horn, and you hear it all the time. 649 00:33:47,680 --> 00:33:49,720 Speaker 6: But that's another reason for the noise thing, is the 650 00:33:49,760 --> 00:33:53,400 Speaker 6: honking the horn. So this is becoming more of an issue. Okay, 651 00:33:53,480 --> 00:33:57,520 Speaker 6: So this one is in Lucashaw's screen Time newsletter. So 652 00:33:57,560 --> 00:33:59,320 Speaker 6: we've been talking about, Yeah, how a lot of more 653 00:33:59,360 --> 00:34:02,520 Speaker 6: sports are are entering the streaming market, right, So so 654 00:34:02,760 --> 00:34:06,040 Speaker 6: he took a look into why Amazon, Apple, Netflix, YouTube 655 00:34:06,080 --> 00:34:09,280 Speaker 6: are kind of capitalizing on it. He said, the problem 656 00:34:09,320 --> 00:34:11,600 Speaker 6: is that leagues are looking for these bigger paydays right 657 00:34:11,600 --> 00:34:13,880 Speaker 6: because they're the only kind of entertainment program that can 658 00:34:13,920 --> 00:34:17,279 Speaker 6: pull in these live audiences. But their partners, which are 659 00:34:17,280 --> 00:34:22,080 Speaker 6: broadcast in cable networks, traditional partners, they've shrunk, traditional media 660 00:34:22,120 --> 00:34:25,080 Speaker 6: companies like Disney, Paramount, Global, Warner Brothers, they can they 661 00:34:25,120 --> 00:34:27,719 Speaker 6: have a limit on how much they can spend. So 662 00:34:27,760 --> 00:34:30,120 Speaker 6: in order to get these big payouts that they want, 663 00:34:30,120 --> 00:34:32,640 Speaker 6: they're going to have to divide the rights among like 664 00:34:32,680 --> 00:34:35,280 Speaker 6: a different and a wider. 665 00:34:34,880 --> 00:34:37,800 Speaker 2: I've read this too. Thank you Lisa for bringing this up, Paul. 666 00:34:37,960 --> 00:34:40,560 Speaker 2: If I'm watching the NFL, which folks, I don't do. 667 00:34:40,719 --> 00:34:43,920 Speaker 2: I don't do much NFL, but if I was at 668 00:34:43,960 --> 00:34:46,319 Speaker 2: a given game, I really don't. I got like, what 669 00:34:46,520 --> 00:34:48,000 Speaker 2: five places I have to look? 670 00:34:48,239 --> 00:34:51,879 Speaker 5: Yeah, including Yeah, absolutely. But the big, big. 671 00:34:51,640 --> 00:34:54,880 Speaker 4: Sea change will be when one of these Sunday afternoon 672 00:34:54,920 --> 00:34:57,400 Speaker 4: packages and ones that either go to Fox or CBS. 673 00:34:57,800 --> 00:35:00,480 Speaker 4: If one of those packages, which are national packages, go 674 00:35:00,600 --> 00:35:03,200 Speaker 4: to a streaming service, that's gonna be the sea change. 675 00:35:03,280 --> 00:35:06,560 Speaker 4: And it will happen absolutely absolutely because that's just where 676 00:35:06,560 --> 00:35:10,880 Speaker 4: the eyeballs are. So you know, so the nobody's better 677 00:35:11,120 --> 00:35:13,879 Speaker 4: than monetizing broadcast rights in the NFL. They create as 678 00:35:14,080 --> 00:35:16,120 Speaker 4: much demand as they cannot, cross as many bitters as 679 00:35:16,120 --> 00:35:16,440 Speaker 4: they can. 680 00:35:16,920 --> 00:35:19,600 Speaker 2: Both prices go on quickly. Is this because of Pete Rosel? 681 00:35:19,760 --> 00:35:22,800 Speaker 2: Do we underestimate what Pete Rosel invented? 682 00:35:23,040 --> 00:35:24,759 Speaker 5: Yeah? Yeah, he certainly was. 683 00:35:24,800 --> 00:35:28,080 Speaker 4: But Roger Goodell, who gets paid a gajillion dollars here, 684 00:35:28,120 --> 00:35:32,000 Speaker 4: has just minted money for his employers, which are the 685 00:35:32,000 --> 00:35:33,719 Speaker 4: owners thirty second squeeze one more in lea. 686 00:35:33,920 --> 00:35:34,520 Speaker 5: You got it. Okay. 687 00:35:34,520 --> 00:35:36,440 Speaker 6: People use chat sjubyt for a lot of things, but 688 00:35:36,480 --> 00:35:39,040 Speaker 6: there's one thing that Sam Altman says he is not 689 00:35:39,200 --> 00:35:41,040 Speaker 6: very happy about. It's how people are using it as 690 00:35:41,080 --> 00:35:44,840 Speaker 6: a therapist or a life coach. He said that, you know, 691 00:35:44,920 --> 00:35:48,319 Speaker 6: they're they're tracking people's sense of attachment to AI because 692 00:35:48,320 --> 00:35:50,839 Speaker 6: the problem is people who are maybe lonely or whatever, 693 00:35:50,840 --> 00:35:53,279 Speaker 6: they go on chat shoobyt and they start interacting and 694 00:35:53,280 --> 00:35:55,880 Speaker 6: then the query start, query start, and so it becomes 695 00:35:56,160 --> 00:35:59,439 Speaker 6: like this therapist. And he says, that's not the right 696 00:35:59,480 --> 00:36:02,640 Speaker 6: way to to use it. So that's a little bit. 697 00:36:02,560 --> 00:36:03,080 Speaker 5: Scary to me. 698 00:36:03,120 --> 00:36:06,319 Speaker 2: It's a time bag. I mean, like the you know, 699 00:36:06,360 --> 00:36:08,880 Speaker 2: the chet dept. Stuff that's different than doing. 700 00:36:08,760 --> 00:36:11,720 Speaker 6: Searches correct correct, because it keeps asking you what prompts 701 00:36:11,760 --> 00:36:13,799 Speaker 6: you maybe would you like to know more about this? 702 00:36:13,880 --> 00:36:14,319 Speaker 5: Would you like? 703 00:36:14,360 --> 00:36:16,879 Speaker 6: And it kind of keeps prompting you to ask, did you. 704 00:36:16,880 --> 00:36:20,680 Speaker 2: Spend all day Sunday working on newspapers for today? 705 00:36:21,239 --> 00:36:22,520 Speaker 5: Half the day, half the day? 706 00:36:22,800 --> 00:36:25,319 Speaker 2: Lisa, let say thank you so much the newspapers on 707 00:36:25,360 --> 00:36:28,239 Speaker 2: a Monday. We promised Tuesday will be an improvement. 708 00:36:28,600 --> 00:36:33,440 Speaker 1: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 709 00:36:33,560 --> 00:36:37,359 Speaker 1: and anywhere else you get your podcasts. Listen live each 710 00:36:37,360 --> 00:36:41,240 Speaker 1: weekday seven to ten am Eastern on Bloomberg dot Com, 711 00:36:41,360 --> 00:36:45,160 Speaker 1: the iHeartRadio app, tune In, and the Bloomberg Business app. 712 00:36:45,480 --> 00:36:48,560 Speaker 1: You can also watch us live every weekday on YouTube 713 00:36:48,880 --> 00:36:50,880 Speaker 1: and always on the Bloomberg terminal