1 00:00:00,080 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:11,960 --> 00:00:15,560 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Tom Keene along 3 00:00:15,600 --> 00:00:18,960 Speaker 2: with Paul Sweeney. Join us each day for insight from 4 00:00:18,960 --> 00:00:23,160 Speaker 2: the best in economics, finance, investment, and international relations. You 5 00:00:23,160 --> 00:00:26,520 Speaker 2: can also watch the show live on YouTube. Visit the 6 00:00:26,520 --> 00:00:31,280 Speaker 2: Bloomberg Podcast channel on YouTube to see the show weekday 7 00:00:31,280 --> 00:00:34,320 Speaker 2: mornings from seven to ten am Eastern from our global 8 00:00:34,360 --> 00:00:39,000 Speaker 2: headquarters in New York City. Subscribe to the podcast on Apple, Spotify, 9 00:00:39,360 --> 00:00:42,920 Speaker 2: or anywhere else you listen and always I'm Bloomberg Radio, 10 00:00:43,080 --> 00:00:46,960 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business app r in 11 00:00:47,120 --> 00:00:50,760 Speaker 2: Timor is definitive at Fidelity with our question look on LinkedIn. 12 00:00:51,320 --> 00:00:55,000 Speaker 2: It's the best place to see this. The absolute smartest 13 00:00:55,680 --> 00:01:01,320 Speaker 2: combination of economics and finance in the charts, technical analysis, 14 00:01:01,720 --> 00:01:03,200 Speaker 2: and it's so good. I'm going to put this up 15 00:01:03,200 --> 00:01:06,600 Speaker 2: for YouTube. I took a screen grab of my most 16 00:01:06,600 --> 00:01:10,160 Speaker 2: important chart of the second quarter. It's of course from 17 00:01:10,200 --> 00:01:13,920 Speaker 2: mister timmor of Fidelity. E'ine. It's real simple use of 18 00:01:13,959 --> 00:01:18,319 Speaker 2: cash earnings to twenty five. I got a linear growth 19 00:01:18,360 --> 00:01:22,399 Speaker 2: and dividends seventy five dollars and I got ninety dollars 20 00:01:22,440 --> 00:01:28,039 Speaker 2: in share buyback corporations are generating seventy three percent payout 21 00:01:29,000 --> 00:01:31,840 Speaker 2: on those earnings of two hundred and twenty five dollars. 22 00:01:31,880 --> 00:01:34,520 Speaker 2: Does that continue? Yeah? 23 00:01:34,600 --> 00:01:36,720 Speaker 3: And you know, and this is the reason why the 24 00:01:36,880 --> 00:01:40,319 Speaker 3: US trades at a premium to most of the rest 25 00:01:40,360 --> 00:01:45,720 Speaker 3: of the world, because the share buyback culture is somewhat unique. 26 00:01:45,720 --> 00:01:48,240 Speaker 3: I mean, it happens in other places. But the payout 27 00:01:48,560 --> 00:01:51,320 Speaker 3: of seventy three percent, which is actually below where it 28 00:01:51,360 --> 00:01:53,680 Speaker 3: has been over the past decade or so, was closer 29 00:01:53,720 --> 00:01:56,200 Speaker 3: to ninety percent. But if you think about it from 30 00:01:56,240 --> 00:02:00,240 Speaker 3: a DCF you know, discount of cashlow model perspective. If 31 00:02:00,240 --> 00:02:03,559 Speaker 3: you're a shareholder and you're getting more of the company's 32 00:02:03,640 --> 00:02:07,200 Speaker 3: earnings return to you in one way or the other, 33 00:02:07,800 --> 00:02:11,440 Speaker 3: that commands a higher premium, right, And so that's why 34 00:02:11,480 --> 00:02:15,440 Speaker 3: the US has traded, you know, more more expensive, I guess, 35 00:02:15,440 --> 00:02:19,080 Speaker 3: but it's well earned. And if the big free cash 36 00:02:19,080 --> 00:02:23,200 Speaker 3: flow generators continue to generate that cash flow, then I 37 00:02:23,280 --> 00:02:24,760 Speaker 3: suspect it will continue. 38 00:02:24,919 --> 00:02:28,280 Speaker 2: So there's this dovetail with Michael Mobison's work, which what's 39 00:02:28,360 --> 00:02:32,959 Speaker 2: more important now is the annual payout along the continuum 40 00:02:33,520 --> 00:02:36,760 Speaker 2: rather than the terminal rate. Insanity we were lectured on 41 00:02:37,320 --> 00:02:41,480 Speaker 2: in school. Is the actual yearly payout that you describe 42 00:02:42,120 --> 00:02:47,240 Speaker 2: more important than some phony calculation of terminal value? 43 00:02:47,560 --> 00:02:49,440 Speaker 3: Well, you know, you're getting into the ways of the 44 00:02:49,520 --> 00:02:54,280 Speaker 3: DCF model, which is both so elegant and frustrating at 45 00:02:54,280 --> 00:02:58,040 Speaker 3: the same time, because there are there are so many variables, right, 46 00:02:58,080 --> 00:03:00,560 Speaker 3: you have earnings growth, you have to payout, you have 47 00:03:00,600 --> 00:03:03,799 Speaker 3: the risk free rate, and you have the equity risk premium. 48 00:03:04,120 --> 00:03:08,119 Speaker 3: And it's elegant because you can explain the market through 49 00:03:08,280 --> 00:03:12,360 Speaker 3: every variable, including sentiment, which I think the risk premium 50 00:03:12,639 --> 00:03:15,880 Speaker 3: is a reflection of. But you also can never solve 51 00:03:15,919 --> 00:03:19,560 Speaker 3: for four variables at once. That makes it frustrating. So 52 00:03:19,639 --> 00:03:24,440 Speaker 3: you have to isolate. So the terminal rate versus the 53 00:03:24,480 --> 00:03:27,680 Speaker 3: next five years growth, I just assume that it's going 54 00:03:27,720 --> 00:03:30,639 Speaker 3: to be six percent. The terminal rate is the ten 55 00:03:30,720 --> 00:03:34,239 Speaker 3: year treasury yield, and then I saw for the risk 56 00:03:34,320 --> 00:03:36,320 Speaker 3: premium because you have to isolate something. 57 00:03:36,360 --> 00:03:39,160 Speaker 2: Paul I was in Boston near the state House, a 58 00:03:39,200 --> 00:03:41,960 Speaker 2: lovely or in seventeenth century state house whatever, the red 59 00:03:42,000 --> 00:03:44,640 Speaker 2: brick building there, and some guy next to me is 60 00:03:44,680 --> 00:03:48,040 Speaker 2: going on on DCF. Peter Lynch through a snowball. 61 00:03:47,560 --> 00:03:51,200 Speaker 4: At him, So you're in I mean, I know a 62 00:03:51,200 --> 00:03:54,080 Speaker 4: lot of companies when they come through Boston, they come 63 00:03:54,120 --> 00:03:57,720 Speaker 4: into the Fidelity offices to meet with you guys. When 64 00:03:57,720 --> 00:04:01,040 Speaker 4: you're talking about use of cash, how do you and 65 00:04:01,080 --> 00:04:03,040 Speaker 4: I'm sure a lot of these companies say, hey, what 66 00:04:03,080 --> 00:04:05,840 Speaker 4: would you like to see dividends or buybacks or what 67 00:04:05,920 --> 00:04:08,240 Speaker 4: kind of mix? How do you answer that question for 68 00:04:08,320 --> 00:04:08,880 Speaker 4: these companies? 69 00:04:10,520 --> 00:04:11,800 Speaker 2: Well, that's a good question. 70 00:04:11,880 --> 00:04:14,880 Speaker 3: I guess it depends. I mean, dividends are sort of, 71 00:04:15,720 --> 00:04:18,160 Speaker 3: you know, like a sacred commitment, right, so if you're 72 00:04:18,200 --> 00:04:21,200 Speaker 3: going to pay a dividend, you better not take it away. 73 00:04:22,200 --> 00:04:25,520 Speaker 3: And buybacks are more variable. Right, If you have the 74 00:04:25,560 --> 00:04:28,279 Speaker 3: cash flow buy back the share, then the question is 75 00:04:28,279 --> 00:04:30,080 Speaker 3: do you buy back shares or do you spend it 76 00:04:30,120 --> 00:04:34,800 Speaker 3: on capex? And actually, it's interesting that the capex as 77 00:04:34,839 --> 00:04:38,920 Speaker 3: a percent of revenues has been increasing and maybe that's 78 00:04:39,000 --> 00:04:42,880 Speaker 3: part of the whole AI boom. But that's obviously good 79 00:04:42,920 --> 00:04:46,120 Speaker 3: to see. But it comes down to, you know, the 80 00:04:46,160 --> 00:04:49,320 Speaker 3: productive views of your cash. And if you're generating so 81 00:04:49,400 --> 00:04:54,000 Speaker 3: much cash that even after satisfying capex, it's just sitting 82 00:04:54,080 --> 00:04:56,200 Speaker 3: on your barance sheet, well then you might as well 83 00:04:56,240 --> 00:04:59,640 Speaker 3: return it to shareholders, because that is part of the 84 00:04:59,800 --> 00:05:00,400 Speaker 3: of math. 85 00:05:00,760 --> 00:05:03,680 Speaker 4: How about for our good friends in Cooper Tino, Tim Cook, Apple, 86 00:05:04,160 --> 00:05:06,200 Speaker 4: you know, they pay just a token dividend. We've seen 87 00:05:06,240 --> 00:05:09,080 Speaker 4: Meta initiate a token dividend. What do you say to 88 00:05:09,160 --> 00:05:12,560 Speaker 4: the technology companies when they come through your offices about, okay, 89 00:05:12,560 --> 00:05:15,360 Speaker 4: thank you for the jillion dollar buy back, But would 90 00:05:15,360 --> 00:05:17,919 Speaker 4: a three percent dividend yield kill you? I mean, do 91 00:05:17,960 --> 00:05:20,040 Speaker 4: you have those conversations with the big tech companies. 92 00:05:21,480 --> 00:05:27,280 Speaker 3: I think for the growthier companies, I think generally they 93 00:05:27,640 --> 00:05:30,479 Speaker 3: have paid less individends than for instance, you know a 94 00:05:30,520 --> 00:05:34,120 Speaker 3: bank or you know a consumer stable. And I think 95 00:05:34,120 --> 00:05:37,919 Speaker 3: that's just part of the of the structure of different sectors. 96 00:05:37,960 --> 00:05:42,120 Speaker 3: And so as long as it comes back, you know, again, 97 00:05:42,440 --> 00:05:46,719 Speaker 3: if the cash is used for productive purpose CAPEX, whatever 98 00:05:46,800 --> 00:05:50,400 Speaker 3: your R and D, then that's fine. If it's not used, 99 00:05:50,440 --> 00:05:54,039 Speaker 3: whether it comes back as a dividend or as a buyback, 100 00:05:54,200 --> 00:05:57,120 Speaker 3: you know, I guess ultimately it doesn't matter too much. 101 00:05:57,240 --> 00:06:00,680 Speaker 3: Probably a dividend would command a higher pre because it's 102 00:06:00,960 --> 00:06:04,440 Speaker 3: less likely to go away, But for growth companies it's 103 00:06:04,480 --> 00:06:06,080 Speaker 3: I don't think it's generally expected. 104 00:06:06,360 --> 00:06:09,200 Speaker 2: You're in a technical question, folks, inside baseball. Here, come 105 00:06:09,240 --> 00:06:12,520 Speaker 2: with us. It's a global Wall Street question. You're in timmer. 106 00:06:12,600 --> 00:06:16,520 Speaker 2: The return on invested capital of Nvidia is fifty four percent. 107 00:06:17,160 --> 00:06:19,240 Speaker 2: The EVA spread, we're not going to go on the 108 00:06:19,279 --> 00:06:23,279 Speaker 2: details now, is a mind blowing forty two percent. If 109 00:06:23,320 --> 00:06:30,800 Speaker 2: they migrate to trend, can their stock hold up that? 110 00:06:30,800 --> 00:06:34,800 Speaker 3: That is a good question. You know, you get into 111 00:06:35,200 --> 00:06:40,599 Speaker 3: that super growthy space and you start looking at not 112 00:06:41,000 --> 00:06:43,640 Speaker 3: just the second derivatives, but the third derivatives, you know, 113 00:06:43,720 --> 00:06:47,240 Speaker 3: and so that's always a tough question. It depends on, 114 00:06:47,360 --> 00:06:50,360 Speaker 3: you know, how crowded the space is, what the valuations are. 115 00:06:51,320 --> 00:06:52,960 Speaker 3: One thing I'll tell you is that, you know, I've 116 00:06:53,000 --> 00:06:55,680 Speaker 3: looked at this concept of the nifty to fifty, and 117 00:06:55,760 --> 00:06:58,680 Speaker 3: of course we're down to the MAC seven, but generally 118 00:06:58,720 --> 00:07:02,159 Speaker 3: speaking the nifty fifty I study that very carefully, going 119 00:07:02,200 --> 00:07:05,599 Speaker 3: back to the early seventies, which was the original nifty 120 00:07:05,640 --> 00:07:08,960 Speaker 3: to fifty, and when you see periods of these big 121 00:07:09,000 --> 00:07:12,880 Speaker 3: growth companies really dominating, as we did in the early 122 00:07:12,960 --> 00:07:16,080 Speaker 3: seventies and the late nineties, at the end of the day, 123 00:07:16,880 --> 00:07:21,559 Speaker 3: those companies traded at a x multiple to the rest 124 00:07:21,640 --> 00:07:25,000 Speaker 3: of the market, and today the top fifty are trading 125 00:07:25,040 --> 00:07:28,680 Speaker 3: only at about a thirty percent multiple, So maybe there's 126 00:07:28,720 --> 00:07:31,880 Speaker 3: still some room to go because most of their performance 127 00:07:32,200 --> 00:07:34,800 Speaker 3: has been justified by earnings. 128 00:07:34,480 --> 00:07:36,720 Speaker 2: Just just great, you're in Timmor, Thank you so much 129 00:07:36,720 --> 00:07:50,440 Speaker 2: to Fidelity. We're going to take a measured conversation right 130 00:07:50,520 --> 00:07:53,400 Speaker 2: now with mister Ives. Dan Ives is Opiniata. He's senior 131 00:07:53,440 --> 00:07:57,800 Speaker 2: equity pinata at Wedbush Securities. Everybody loves to hate him. 132 00:07:57,880 --> 00:07:59,680 Speaker 2: And my problem is if I have a look at 133 00:08:00,200 --> 00:08:01,880 Speaker 2: you know, if I don't look at a daily charter 134 00:08:02,000 --> 00:08:04,680 Speaker 2: in every fifteen minutes chart like Scott looks at over 135 00:08:04,720 --> 00:08:07,560 Speaker 2: at the dusk Star, Dan Eyes, I'm looking at a 136 00:08:07,600 --> 00:08:12,080 Speaker 2: monthly chart of Apple and it is beyond elegant, bouncing 137 00:08:12,120 --> 00:08:15,880 Speaker 2: off my long term moving average at one sixty six. 138 00:08:16,000 --> 00:08:20,120 Speaker 2: It's up sixteen percent in the last x number of 139 00:08:20,240 --> 00:08:22,760 Speaker 2: days and weeks. First of all, Dan Eyes, why is 140 00:08:22,800 --> 00:08:24,440 Speaker 2: Apple up sixteen percent? 141 00:08:26,480 --> 00:08:30,800 Speaker 5: Because investors are anticipating not just what's gonna happen in 142 00:08:30,960 --> 00:08:34,319 Speaker 5: WWDC where they're gonna release cook and cup Patina, the 143 00:08:34,440 --> 00:08:38,120 Speaker 5: AI strategy. But if you look at numbers coming out 144 00:08:38,160 --> 00:08:41,280 Speaker 5: of you know, our Asia checks and others, you're seeing 145 00:08:41,280 --> 00:08:44,720 Speaker 5: a stabilization of iPhone demand and I think a renaissance 146 00:08:44,760 --> 00:08:47,880 Speaker 5: of growth right now on the horizon for Apple. 147 00:08:48,200 --> 00:08:50,040 Speaker 2: Okay, I don't want to do a fanboy thing here 148 00:08:50,040 --> 00:08:54,880 Speaker 2: at Dan Eyes, but I'm absolutely blown away by the 149 00:08:55,040 --> 00:08:59,920 Speaker 2: resolution from the M four chip over to the fancy iPad. 150 00:09:00,559 --> 00:09:04,160 Speaker 2: Are they going to cannibalize other Apple products or are 151 00:09:04,160 --> 00:09:05,600 Speaker 2: they going to stand on their own? 152 00:09:06,760 --> 00:09:09,000 Speaker 5: I think it stands on its own. Look, I mean, 153 00:09:09,040 --> 00:09:12,120 Speaker 5: you've come about us a lot, the chips that they 154 00:09:12,200 --> 00:09:14,280 Speaker 5: beat in till it's their own game, and I think 155 00:09:14,400 --> 00:09:18,840 Speaker 5: now you'll have a legit refresh on iPads. But it 156 00:09:19,000 --> 00:09:23,040 Speaker 5: shows the power of those chips. And the important thing 157 00:09:23,120 --> 00:09:25,760 Speaker 5: is that those chips too, they're going to be able 158 00:09:26,440 --> 00:09:31,520 Speaker 5: to ultimately navigate and deploy AI features within the broader 159 00:09:31,640 --> 00:09:35,360 Speaker 5: Coupertino ecosystem, and that's why most are going to access 160 00:09:35,480 --> 00:09:40,600 Speaker 5: AI in the future through an Apple device. Hey, Dan, you. 161 00:09:40,480 --> 00:09:43,840 Speaker 4: Know, as Tom mentioned this, Apple's up sixteen percent over 162 00:09:43,880 --> 00:09:47,920 Speaker 4: the last period of time here several days and weeks. 163 00:09:48,800 --> 00:09:51,800 Speaker 4: What's the call on China these days? How's the market 164 00:09:52,240 --> 00:09:54,559 Speaker 4: viewing the China? I'm going to call it a risk 165 00:09:55,160 --> 00:09:58,640 Speaker 4: for Apple. How's the market digesting and discounting it? 166 00:10:00,240 --> 00:10:02,640 Speaker 5: Yeah, Paul I think it went from a huge risk 167 00:10:02,880 --> 00:10:06,920 Speaker 5: to what we've seen, especially at our checks in Taiwan 168 00:10:07,080 --> 00:10:11,600 Speaker 5: this week, steaveisition to an uptick. So I think we're 169 00:10:11,640 --> 00:10:15,520 Speaker 5: starting that market's starting to sniff out not just a steaveisition, 170 00:10:15,640 --> 00:10:20,040 Speaker 5: but an uptick in China. And at that point, I mean, 171 00:10:20,120 --> 00:10:24,840 Speaker 5: that's that's cook drinking a mimosa, because then you now 172 00:10:24,960 --> 00:10:29,040 Speaker 5: start to see an upgrade cycle take place with the 173 00:10:29,080 --> 00:10:33,120 Speaker 5: biggest event we've seen in a decade with AI Common Apple. 174 00:10:33,960 --> 00:10:38,000 Speaker 4: All right, so June this developer conference. What should the 175 00:10:38,040 --> 00:10:40,760 Speaker 4: market expect here? What do you think is going to 176 00:10:40,840 --> 00:10:41,320 Speaker 4: happen there? 177 00:10:42,760 --> 00:10:45,360 Speaker 5: So I think look summer, fearing it will be a 178 00:10:45,440 --> 00:10:49,040 Speaker 5: hype event, I strongly disagree. I think this is the 179 00:10:49,080 --> 00:10:53,240 Speaker 5: start of essential Whi's going to be AI To developers, 180 00:10:53,440 --> 00:10:56,840 Speaker 5: you're gonna it's really the start of a new AI 181 00:10:56,920 --> 00:11:00,080 Speaker 5: app store from a services perspective. And I think the 182 00:11:00,120 --> 00:11:04,000 Speaker 5: features that they're gonna build in right, not just the 183 00:11:04,120 --> 00:11:07,480 Speaker 5: room but open AI that they're ultimately introduced, I think 184 00:11:07,520 --> 00:11:11,160 Speaker 5: that's a partnership, right, that's gonna be exclusive and important. 185 00:11:11,440 --> 00:11:13,800 Speaker 2: One more Apple question. I really want to go financial, 186 00:11:13,840 --> 00:11:16,600 Speaker 2: but I'm going to stay on the fanboy stuff. Dan 187 00:11:16,679 --> 00:11:19,680 Speaker 2: I what am I actually gonna do with AI with Apple? 188 00:11:19,960 --> 00:11:22,800 Speaker 2: If I've got the iPad and the pencil pro and 189 00:11:22,840 --> 00:11:25,440 Speaker 2: I miss her artsy FARTSI what's AI going to do 190 00:11:25,559 --> 00:11:28,040 Speaker 2: for me? Where I look like I'm not making Popeye 191 00:11:28,080 --> 00:11:29,079 Speaker 2: as a comic strip. 192 00:11:30,400 --> 00:11:32,880 Speaker 5: Well, first off, I think the big thing, especially with 193 00:11:32,960 --> 00:11:36,720 Speaker 5: open AI and some of these LM features, Apple is 194 00:11:36,800 --> 00:11:40,640 Speaker 5: really trying to get you to almost bypass things like 195 00:11:40,760 --> 00:11:44,360 Speaker 5: Google and some of the traditional search. But I think 196 00:11:44,400 --> 00:11:48,080 Speaker 5: the biggest thing is just the features that you're gonna 197 00:11:48,080 --> 00:11:53,480 Speaker 5: see come out on healthcare, on consumer apps, on generative AI. 198 00:11:54,320 --> 00:11:57,560 Speaker 5: It's all gonna be apps. Developers are going to be 199 00:11:57,679 --> 00:12:04,600 Speaker 5: building AI, generative AI driven apps on the iOS foundation, 200 00:12:04,760 --> 00:12:07,600 Speaker 5: and that's and that's the key in the future. It's 201 00:12:07,720 --> 00:12:11,280 Speaker 5: all gonna be mostly through Apple device. But that's what 202 00:12:11,400 --> 00:12:14,160 Speaker 5: Microsoft is fighting this week. They want to be He 203 00:12:14,280 --> 00:12:16,480 Speaker 5: said that from a consumer perspective. 204 00:12:16,240 --> 00:12:19,040 Speaker 2: And now the obligatory in video questions. 205 00:12:18,640 --> 00:12:21,960 Speaker 4: Paul Sweeney, So, Dan, I mean Tom Kean's all about 206 00:12:22,000 --> 00:12:24,720 Speaker 4: AI here? What's he gonna what should he be looking 207 00:12:24,760 --> 00:12:28,920 Speaker 4: for tomorrow afternoon? When when in video reports. 208 00:12:29,120 --> 00:12:33,440 Speaker 5: I think, get get the popcorn ready and get all set. 209 00:12:33,679 --> 00:12:36,680 Speaker 5: You know your favorite you know, beverage when they were 210 00:12:36,760 --> 00:12:39,880 Speaker 5: port Because when the Godfather of Ai Jensen and a 211 00:12:40,000 --> 00:12:42,400 Speaker 5: video report, I think it's gonna be another jaw dropper 212 00:12:42,480 --> 00:12:44,800 Speaker 5: in terms of the demand that we're seeing. It's not 213 00:12:45,000 --> 00:12:47,959 Speaker 5: slowing down, and I think we're just starting to see 214 00:12:48,000 --> 00:12:51,240 Speaker 5: this acceleration. And that's important for the second, third, fourth 215 00:12:51,240 --> 00:12:55,720 Speaker 5: derivatives within tech, which is why we believe this tech 216 00:12:55,800 --> 00:12:59,439 Speaker 5: bull market has significant legs from here. But it all 217 00:12:59,480 --> 00:13:03,000 Speaker 5: starts with odd Father of Ai Jensen. Tomorrow, I'm expecting 218 00:13:03,000 --> 00:13:05,400 Speaker 5: another just drop the micro yeah. 219 00:13:05,280 --> 00:13:07,280 Speaker 2: I mean he's going on existential on it. So the 220 00:13:07,360 --> 00:13:10,520 Speaker 2: third and fourth derivative as well, Where does Apple fit 221 00:13:10,600 --> 00:13:13,400 Speaker 2: into the derivatives? I mean they're not first or second derivative, 222 00:13:13,480 --> 00:13:16,600 Speaker 2: are they? They're a follow on from all these other people, right. 223 00:13:17,600 --> 00:13:19,439 Speaker 5: I think they're second, third driven because when we go 224 00:13:19,559 --> 00:13:24,280 Speaker 5: my nvideo Microsoft Google service, now that's enterprise, but on 225 00:13:24,360 --> 00:13:29,000 Speaker 5: the consumer side, the chips and the actual use cases, 226 00:13:29,440 --> 00:13:32,840 Speaker 5: how are they coming to the consumer? It's meta Google, 227 00:13:32,920 --> 00:13:37,040 Speaker 5: but most importantly it's Apple. And that's why now this 228 00:13:37,200 --> 00:13:41,479 Speaker 5: is ready for prime time starting next month at WWC. 229 00:13:41,760 --> 00:13:46,040 Speaker 5: That's where the unveil starts and eventually the iPhone sixteen, 230 00:13:46,080 --> 00:13:48,760 Speaker 5: I will have their own AI features built in. 231 00:13:49,960 --> 00:13:51,080 Speaker 6: Hey, Dan, who goes to this? 232 00:13:51,480 --> 00:13:54,200 Speaker 4: I mean is can top king get a ticket to this? 233 00:13:57,720 --> 00:14:01,680 Speaker 5: The King could get a t it anywhere. So he's 234 00:14:01,720 --> 00:14:04,440 Speaker 5: like Gilms have to exclude him. I mean, he's he's 235 00:14:04,480 --> 00:14:08,720 Speaker 5: one of those exclusive you know, Monaco. But for the 236 00:14:08,760 --> 00:14:13,000 Speaker 5: average this is really for developers. Yep, it's for industry folks. 237 00:14:13,280 --> 00:14:16,960 Speaker 5: That's really the focus of WWBC what we'll be at. 238 00:14:17,280 --> 00:14:18,760 Speaker 2: What are you doing with your two hundred and fifty 239 00:14:18,840 --> 00:14:21,880 Speaker 2: dollars price target? You're an outlier? But seriously, Dan ives 240 00:14:22,280 --> 00:14:24,760 Speaker 2: some of the parts are earnings momentum as they come 241 00:14:24,760 --> 00:14:27,520 Speaker 2: off the mat of sixteen percent? Are you ready to 242 00:14:27,520 --> 00:14:29,720 Speaker 2: adjust that up so we can make some news this morning. 243 00:14:30,680 --> 00:14:35,520 Speaker 5: Look to fifty's base case. We I believe AI will 244 00:14:35,560 --> 00:14:39,800 Speaker 5: add thirty to forty dollars per share to this Apple 245 00:14:39,920 --> 00:14:42,640 Speaker 5: story over the coming years. And that's why I think 246 00:14:43,240 --> 00:14:46,680 Speaker 5: four trillion will be what we'll be talking about a year. 247 00:14:46,920 --> 00:14:50,680 Speaker 2: Go go first, de rivet And what's it do to Microsoft? Oh? 248 00:14:50,720 --> 00:14:53,840 Speaker 5: I mean, Mike, I think Microsoft that they're in there 249 00:14:53,880 --> 00:14:56,440 Speaker 5: right now in the in the leader seat. From an 250 00:14:56,560 --> 00:15:00,800 Speaker 5: enterprise perspective, I mean, if the mount Rush of Ai. 251 00:15:01,240 --> 00:15:05,040 Speaker 5: It's Gentsen there carving that out. Who's next to It's Nadella. 252 00:15:06,120 --> 00:15:14,440 Speaker 2: Can you see Mount Rushmore? Jensen Dyan Ives. I mean, 253 00:15:14,480 --> 00:15:16,920 Speaker 2: it's just it would be too much, Dan Ives, I 254 00:15:16,960 --> 00:15:19,480 Speaker 2: could just see you on Mount Rushbort, thank you so much. 255 00:15:19,960 --> 00:15:21,800 Speaker 2: With Webb Bush, you can send your hate mail to 256 00:15:21,840 --> 00:15:24,600 Speaker 2: mister Is directly, or I get the hate mail too. 257 00:15:24,760 --> 00:15:26,360 Speaker 2: If you have love notes for Dan and Ives, they 258 00:15:26,400 --> 00:15:29,840 Speaker 2: go through a Lisa and Tao. Mister Is with Wedbush, 259 00:15:29,960 --> 00:15:40,240 Speaker 2: he is enthusiastic on America's technology darkening the door of commerce. 260 00:15:40,680 --> 00:15:43,480 Speaker 2: A number of years ago, an academic from the Upper 261 00:15:43,480 --> 00:15:46,640 Speaker 2: East Side of the Council on Foreign Relations, Elizabeth Economy, 262 00:15:46,680 --> 00:15:50,160 Speaker 2: went down to assist the Governor of Rhode Island with 263 00:15:50,320 --> 00:15:53,800 Speaker 2: Commerce Ford. Elizabeth Economy joins us, right now, she's free 264 00:15:54,240 --> 00:15:57,160 Speaker 2: from the clutches of our public service. What was the 265 00:15:57,200 --> 00:15:59,720 Speaker 2: first day like it it Commerce? Did they put a 266 00:15:59,720 --> 00:16:02,200 Speaker 2: cork in your mouth and just say be nice? What 267 00:16:02,360 --> 00:16:03,320 Speaker 2: was the first day like? 268 00:16:03,640 --> 00:16:05,200 Speaker 1: I don't think they knew what to expect. 269 00:16:05,440 --> 00:16:06,120 Speaker 2: Yeah, exactly. 270 00:16:06,120 --> 00:16:08,440 Speaker 1: Honestly, there were only about fifty people working there at 271 00:16:08,440 --> 00:16:10,160 Speaker 1: the time because it was right in the middle of 272 00:16:10,160 --> 00:16:12,920 Speaker 1: the pandemic, and the only people that were showing up 273 00:16:12,920 --> 00:16:15,960 Speaker 1: for work were the secretary is kind of immediate, twenty 274 00:16:16,040 --> 00:16:18,320 Speaker 1: to thirty people on the fifth floor, So it was 275 00:16:18,360 --> 00:16:21,080 Speaker 1: like a ghost town. But it was a great, great opportunity, 276 00:16:21,080 --> 00:16:22,240 Speaker 1: and she's just fantastic. 277 00:16:22,360 --> 00:16:25,640 Speaker 2: And just to remind people Elizabeth Economy years ago out 278 00:16:25,640 --> 00:16:27,800 Speaker 2: of Michigan where the river runs black. It was just 279 00:16:27,800 --> 00:16:32,840 Speaker 2: in a profoundly changing book on China's pollution right now, 280 00:16:32,880 --> 00:16:35,600 Speaker 2: an all series of books along the way. I want 281 00:16:35,600 --> 00:16:39,360 Speaker 2: to go to your foreign affairs blistering essay and without 282 00:16:39,400 --> 00:16:41,840 Speaker 2: going into the details within the confines of the length 283 00:16:41,880 --> 00:16:45,200 Speaker 2: of this interview, what should the US do? Are you 284 00:16:45,200 --> 00:16:47,160 Speaker 2: allowed to say this now? Are you like in a 285 00:16:47,280 --> 00:16:49,040 Speaker 2: timeout chare for six months. 286 00:16:48,880 --> 00:16:52,040 Speaker 1: After leaving no notice? What should we read the restrictions on? 287 00:16:52,120 --> 00:16:55,640 Speaker 2: How do we respond to your blistering essay of China's plan? 288 00:16:55,960 --> 00:16:57,720 Speaker 1: I think the point that I was really trying to 289 00:16:57,720 --> 00:17:01,160 Speaker 1: make in the piece was that the United States has 290 00:17:01,200 --> 00:17:03,840 Speaker 1: done a really good job of responding in the first 291 00:17:03,920 --> 00:17:06,600 Speaker 1: couple of years of the administration to the immediate challenge 292 00:17:06,600 --> 00:17:09,360 Speaker 1: that China poses, But now we really need to expand 293 00:17:09,400 --> 00:17:12,200 Speaker 1: to the global stage and pay attention to how China, 294 00:17:12,240 --> 00:17:16,160 Speaker 1: through its Belton Road Initiative, through its Global Civilization Initiative, 295 00:17:16,160 --> 00:17:19,880 Speaker 1: It's security initiative, It's development initiative, all of these things 296 00:17:19,920 --> 00:17:23,000 Speaker 1: are designed to transform the international system in ways that 297 00:17:23,040 --> 00:17:26,320 Speaker 1: are anathetical to the US, and so that necessitates a 298 00:17:26,359 --> 00:17:30,199 Speaker 1: new strategy, a kind of second tier strategy from the 299 00:17:30,320 --> 00:17:34,159 Speaker 1: United States, which is much more than simply focusing on 300 00:17:34,240 --> 00:17:37,920 Speaker 1: our European and our Asian allies, but really expanding our 301 00:17:37,960 --> 00:17:41,640 Speaker 1: tent to include emerging economies in Latin America and Africa 302 00:17:41,720 --> 00:17:45,040 Speaker 1: and Southeast Asia and bringing them into an American vision 303 00:17:45,240 --> 00:17:46,880 Speaker 1: of the world for the twenty first century. 304 00:17:48,160 --> 00:17:50,960 Speaker 4: I guess I grew up on Global Wall Street, where 305 00:17:51,560 --> 00:17:56,840 Speaker 4: globalization was the thing that was my career with China, 306 00:17:56,920 --> 00:17:59,560 Speaker 4: should we try to engage with China? Should that be 307 00:17:59,600 --> 00:18:01,879 Speaker 4: our first order business to try to engage with China? 308 00:18:02,080 --> 00:18:05,280 Speaker 4: Or where should we step back and say, this is 309 00:18:05,320 --> 00:18:08,160 Speaker 4: almost like I don't know the Soviet Union from back 310 00:18:08,160 --> 00:18:10,520 Speaker 4: in the day. I mean, how should we engage with Chinese? 311 00:18:10,520 --> 00:18:13,119 Speaker 1: So I think, for you know, thirty thirty five years 312 00:18:13,160 --> 00:18:17,720 Speaker 1: we had ninety percent engagement, ten percent competition. Right now 313 00:18:17,760 --> 00:18:22,040 Speaker 1: we're basically at ninety percent competition. And ten percent engagement. 314 00:18:22,359 --> 00:18:25,200 Speaker 1: I think actually, unfortunately, we've got it about right at 315 00:18:25,200 --> 00:18:27,760 Speaker 1: this point. I think we need to understand that China 316 00:18:27,800 --> 00:18:31,440 Speaker 1: is not interested in the kind of engagement that we've 317 00:18:31,720 --> 00:18:34,399 Speaker 1: you know, pursued for thirty some years. They have their 318 00:18:34,480 --> 00:18:37,320 Speaker 1: own vision, They want their own norms, their own values, 319 00:18:37,359 --> 00:18:39,720 Speaker 1: their own interests reflected on the global stage. 320 00:18:39,840 --> 00:18:42,000 Speaker 2: Your your book The Third Revolution was in my book 321 00:18:42,000 --> 00:18:44,800 Speaker 2: of the Summer. You know, it seems ages ago pandemic 322 00:18:45,160 --> 00:18:48,720 Speaker 2: ago as well. In it, you were really controversial about 323 00:18:48,720 --> 00:18:53,399 Speaker 2: the power that presidency has in China. Has he solidified 324 00:18:53,560 --> 00:18:55,560 Speaker 2: his power? Is he impregnable now? 325 00:18:56,000 --> 00:18:58,880 Speaker 1: I don't know whether anyone is impregnable. Certainly he's done 326 00:18:58,920 --> 00:19:03,840 Speaker 1: an amazing job of bringing institutional power into his own hands. 327 00:19:03,840 --> 00:19:06,840 Speaker 1: What we don't know is, you know, how much his 328 00:19:06,960 --> 00:19:10,360 Speaker 1: personal power actually radiates through society. What is the real 329 00:19:10,480 --> 00:19:14,000 Speaker 1: legitimacy of chi jinping among the Chinese people. We have 330 00:19:14,080 --> 00:19:17,240 Speaker 1: some polls, for example, that show that urban Chinese would 331 00:19:17,280 --> 00:19:20,119 Speaker 1: really like to have greater freedom of speech, they'd really like, 332 00:19:20,240 --> 00:19:23,199 Speaker 1: you know, greater property rights, the right to assemble. I 333 00:19:23,200 --> 00:19:25,840 Speaker 1: think you can look and see a lot of dissatisfaction 334 00:19:25,960 --> 00:19:28,919 Speaker 1: in the country if you look beneath the surface. You know, 335 00:19:28,960 --> 00:19:31,199 Speaker 1: we don't have one hundred and eighty thousand protests on 336 00:19:31,240 --> 00:19:33,760 Speaker 1: the streets the way we used to because Sheijinping is 337 00:19:33,760 --> 00:19:37,439 Speaker 1: put in place is incredible repressive apparatus. But that's not 338 00:19:37,600 --> 00:19:39,720 Speaker 1: to say discontent is not still there the. 339 00:19:39,640 --> 00:19:41,359 Speaker 2: Heart of the matter. And folks, I attended to the 340 00:19:41,440 --> 00:19:46,159 Speaker 2: Consulum for Relations where I'm a member of very important 341 00:19:46,560 --> 00:19:50,760 Speaker 2: conference by Jina Romando. I've got a Paul as you mentioned, 342 00:19:50,800 --> 00:19:56,840 Speaker 2: a business globalization structure debating China, and I've got a 343 00:19:56,920 --> 00:19:59,800 Speaker 2: president of the United States word about four swing states, 344 00:20:00,040 --> 00:20:03,760 Speaker 2: so he's anti China, and the candidate for the Republican Party, 345 00:20:03,840 --> 00:20:07,200 Speaker 2: I believe is anti China as well. Are we able 346 00:20:07,280 --> 00:20:10,040 Speaker 2: to have a kojin discussion on China now? Are we 347 00:20:10,160 --> 00:20:14,280 Speaker 2: literally back to Shang Kai shek in the ballet post 348 00:20:14,359 --> 00:20:15,120 Speaker 2: World War Two? 349 00:20:16,080 --> 00:20:18,159 Speaker 1: I think that we're able to have a cojin discussion, 350 00:20:18,240 --> 00:20:21,800 Speaker 1: But the parameters have shifted so that it's there's a 351 00:20:21,840 --> 00:20:25,040 Speaker 1: new realization about the real challenge that China presents. I 352 00:20:25,080 --> 00:20:27,840 Speaker 1: think we don't want to sort of go down the 353 00:20:27,920 --> 00:20:30,639 Speaker 1: rabbit hole where everything is about competition. We need to 354 00:20:30,680 --> 00:20:33,240 Speaker 1: do what the Biden administration started out to do, which 355 00:20:33,280 --> 00:20:35,679 Speaker 1: is to look for areas of common ground and common purpose, 356 00:20:35,960 --> 00:20:39,560 Speaker 1: to try to find communication channels on the mil to 357 00:20:39,840 --> 00:20:43,240 Speaker 1: military to military cooperation. We don't want this relationship to 358 00:20:43,280 --> 00:20:47,160 Speaker 1: devolve into kinetic conflict. But it's also true that we 359 00:20:47,200 --> 00:20:52,159 Speaker 1: recognize we can't continue that globalization without any protection for 360 00:20:52,240 --> 00:20:55,240 Speaker 1: the American economy. You can argue whether we're too far 361 00:20:55,440 --> 00:20:57,880 Speaker 1: swinging too far in one way. You can argue whether 362 00:20:58,000 --> 00:21:00,919 Speaker 1: or not we actually have been very clear about what 363 00:21:00,920 --> 00:21:03,399 Speaker 1: we're doing in terms of our economic strategy on the 364 00:21:03,400 --> 00:21:07,800 Speaker 1: grounds of national security or economic security or economic competitiveness. 365 00:21:08,119 --> 00:21:09,560 Speaker 6: I think we can do a better job there. 366 00:21:09,640 --> 00:21:11,480 Speaker 2: I'm running on a time. Can you make this a 367 00:21:11,480 --> 00:21:17,640 Speaker 2: weekly appointment? You know, Elizabeth, Economy. We've deployed four military 368 00:21:17,720 --> 00:21:21,840 Speaker 2: bases in a new military effort from the northern Philippines 369 00:21:21,880 --> 00:21:24,800 Speaker 2: down to somewhere in the vicinity of Indonesia. We've got 370 00:21:24,800 --> 00:21:27,399 Speaker 2: to build out in Australia, et cetera, et cetera, et cetera. 371 00:21:27,880 --> 00:21:30,960 Speaker 2: Is the Pentagon going to be our state department to 372 00:21:31,119 --> 00:21:33,119 Speaker 2: China in the next five years. No. 373 00:21:33,200 --> 00:21:35,640 Speaker 1: I think the Commerce Department has been our state department 374 00:21:38,040 --> 00:21:41,640 Speaker 1: and good thing too, because its secretary is really the star. No, 375 00:21:41,680 --> 00:21:43,600 Speaker 1: I mean, I think our economic strategy has. 376 00:21:43,760 --> 00:21:45,960 Speaker 2: Rich she's still working for the government or not. Did 377 00:21:46,000 --> 00:21:47,840 Speaker 2: I look at the memo? No? 378 00:21:48,000 --> 00:21:51,560 Speaker 1: I think again, we've you know, enacted so many different 379 00:21:51,640 --> 00:21:55,040 Speaker 1: kinds of new economic policies that have a pretty significant 380 00:21:55,040 --> 00:21:57,640 Speaker 1: impact on China. I think that has been our first 381 00:21:57,680 --> 00:22:00,439 Speaker 1: foot forward. But it's also true that if looking at 382 00:22:00,480 --> 00:22:03,000 Speaker 1: issues like Taiwan or as you're suggesting, the Philippines in 383 00:22:03,040 --> 00:22:04,920 Speaker 1: the South China, see the military has to. 384 00:22:04,840 --> 00:22:07,120 Speaker 2: Be How long is Ted Burns over there, a good 385 00:22:07,160 --> 00:22:09,479 Speaker 2: friend of the show, Nicholas Burns out of Wellesley and 386 00:22:09,880 --> 00:22:13,000 Speaker 2: all of his public service as well. Is our State 387 00:22:13,440 --> 00:22:15,400 Speaker 2: department alone in Beijing? 388 00:22:15,840 --> 00:22:18,919 Speaker 1: No, No, I think he's done an amazing job of engaging, 389 00:22:19,040 --> 00:22:22,720 Speaker 1: frankly with our other ambassadors from our allies and partners, 390 00:22:23,280 --> 00:22:25,280 Speaker 1: you know. So he's he's got a lot of support, 391 00:22:25,320 --> 00:22:27,440 Speaker 1: a lot of friends. I think in the earlier days 392 00:22:27,440 --> 00:22:30,240 Speaker 1: of the pandemic it was extremely difficult, but he's been 393 00:22:30,280 --> 00:22:32,040 Speaker 1: an amazing ambassador. 394 00:22:31,560 --> 00:22:33,439 Speaker 2: At least it wants to know. I mean, do you 395 00:22:33,520 --> 00:22:35,760 Speaker 2: really think that high school kids now should pick up 396 00:22:35,800 --> 00:22:37,280 Speaker 2: Mandarin is a third language? 397 00:22:38,040 --> 00:22:38,600 Speaker 6: Absolutely? 398 00:22:38,920 --> 00:22:43,200 Speaker 1: Absolutely, absolutely, we need the next generation of China scholars 399 00:22:43,200 --> 00:22:46,520 Speaker 1: and China policymakers. We need people to be informed about 400 00:22:46,560 --> 00:22:49,600 Speaker 1: this country. You know, it's one point three some billion 401 00:22:49,680 --> 00:22:53,480 Speaker 1: people of second you know, largest economy, largest military. Why 402 00:22:53,520 --> 00:22:55,720 Speaker 1: do we not want to be expert. 403 00:22:55,480 --> 00:22:57,800 Speaker 2: In everybody on's a new book? What are you doing here? 404 00:22:57,840 --> 00:23:00,479 Speaker 2: You are you slacking off? Six hours today? Right? 405 00:23:00,720 --> 00:23:04,240 Speaker 1: Polarized polity, looking at polarization in China, arguing that it's 406 00:23:04,280 --> 00:23:08,439 Speaker 1: easily as China, easily as polarized as the United States, 407 00:23:08,440 --> 00:23:10,399 Speaker 1: and implications for China's future can Alho. 408 00:23:10,520 --> 00:23:12,960 Speaker 2: What's your name is? Scarlett Johansson? Is that? How do 409 00:23:13,000 --> 00:23:13,800 Speaker 2: you pronounce her name? 410 00:23:14,480 --> 00:23:15,080 Speaker 5: Joe Hanson? 411 00:23:15,520 --> 00:23:16,160 Speaker 2: Joe Hansson? 412 00:23:17,119 --> 00:23:19,600 Speaker 1: Did you starring as? 413 00:23:19,600 --> 00:23:19,679 Speaker 2: She? 414 00:23:19,720 --> 00:23:20,840 Speaker 6: Didn't p anytime soon? 415 00:23:21,040 --> 00:23:23,200 Speaker 2: When does this? When does his tone come out? 416 00:23:23,680 --> 00:23:25,760 Speaker 1: Let's let's call it two and a half years, two and. 417 00:23:25,760 --> 00:23:29,040 Speaker 2: A half years great Elizabeth Economy, do not be a 418 00:23:29,080 --> 00:23:32,400 Speaker 2: stranger her public service to the nation at commerce now 419 00:23:32,400 --> 00:23:36,520 Speaker 2: ascons to the consul and foreign relations definitive China. Look 420 00:23:36,560 --> 00:23:39,760 Speaker 2: for writings. I can't say enough about her first effort 421 00:23:39,800 --> 00:23:45,240 Speaker 2: for Foreign Affairs magazine. Look for that. It's a blistering essay, 422 00:23:45,240 --> 00:23:59,480 Speaker 2: a to do list for America with China. You did 423 00:23:59,560 --> 00:24:01,920 Speaker 2: to look at the front pages around the world a 424 00:24:02,000 --> 00:24:05,479 Speaker 2: foundation to what we do. You're including our newspaper cent 425 00:24:05,680 --> 00:24:07,760 Speaker 2: I glanced at at least this is a great lineup 426 00:24:07,760 --> 00:24:08,960 Speaker 2: you got today. Where do you start? 427 00:24:09,080 --> 00:24:11,320 Speaker 7: Yeah, we're starting. This is an interesting article in the terminal. 428 00:24:11,359 --> 00:24:13,400 Speaker 7: You can check it out for yourself. Florida being hit 429 00:24:13,440 --> 00:24:16,720 Speaker 7: by this surge in commercial property insurance bills and because 430 00:24:16,720 --> 00:24:18,880 Speaker 7: of that it's causing a major issue there. I'll get 431 00:24:18,880 --> 00:24:20,160 Speaker 7: to that in a second. I want to break down 432 00:24:20,160 --> 00:24:22,800 Speaker 7: the numbers though. In the five year period ending twenty 433 00:24:22,840 --> 00:24:26,120 Speaker 7: twenty three, costs surged one hundred and twenty five percent. 434 00:24:26,440 --> 00:24:30,240 Speaker 7: Last year, premiums so twenty seven percent for the second 435 00:24:30,320 --> 00:24:32,560 Speaker 7: year in a row. So because of that, more nursing 436 00:24:32,600 --> 00:24:35,080 Speaker 7: homes they're starting to close down each year. The cost 437 00:24:35,119 --> 00:24:38,359 Speaker 7: of senior care is starting to rise. Two things are happening. 438 00:24:38,400 --> 00:24:41,640 Speaker 7: So you have climate change, you have more you know, hurricanes, 439 00:24:41,680 --> 00:24:44,160 Speaker 7: stronger hurricanes, and then you have the challenge of caring 440 00:24:44,240 --> 00:24:47,720 Speaker 7: for an elderly growing population. So you have those things 441 00:24:47,720 --> 00:24:50,160 Speaker 7: starting to collide together. And now because of that, there's 442 00:24:50,200 --> 00:24:53,639 Speaker 7: this issue where are the elderly going to live? Because 443 00:24:53,640 --> 00:24:55,640 Speaker 7: they all like you know, to go down to Florida 444 00:24:55,680 --> 00:24:57,879 Speaker 7: for the warmer weather, lower tax Yep, that. 445 00:24:57,880 --> 00:25:00,320 Speaker 2: Was years ago. Do they want to go down there now? 446 00:25:00,400 --> 00:25:02,800 Speaker 2: I don't know, because you know, what I've seen is 447 00:25:02,800 --> 00:25:04,520 Speaker 2: a couple of good articles. I'll give the Wall Street 448 00:25:04,600 --> 00:25:08,199 Speaker 2: Journal a shout out on this and the exodus of 449 00:25:08,359 --> 00:25:12,040 Speaker 2: middle class people from Florida. They're going up to Georgia, 450 00:25:12,080 --> 00:25:14,520 Speaker 2: North Carolina, you know the low country that is. 451 00:25:15,160 --> 00:25:18,680 Speaker 4: Yeah, with Florida being threatened by more powerful hurricanes, commercial 452 00:25:18,680 --> 00:25:22,280 Speaker 4: property insurance costs last year surged at nearly five times 453 00:25:22,280 --> 00:25:24,560 Speaker 4: at the national pace. That's that's a problem. 454 00:25:24,680 --> 00:25:28,040 Speaker 7: It's it's a and if these more theies retirements and 455 00:25:28,160 --> 00:25:29,400 Speaker 7: also closing down, I mean. 456 00:25:29,359 --> 00:25:32,119 Speaker 4: Florida, they can't take all these people that have been 457 00:25:32,119 --> 00:25:34,399 Speaker 4: coming down. I would think they'd have an issues with 458 00:25:34,520 --> 00:25:38,880 Speaker 4: schools or housing or water. 459 00:25:39,280 --> 00:25:41,720 Speaker 2: I mean, somebody in the last twenty four hoursand I 460 00:25:41,800 --> 00:25:44,600 Speaker 2: guys had a whole thing on Coral Gables. Yeah, I 461 00:25:44,600 --> 00:25:48,560 Speaker 2: mean I look seriously at Coral Gables. About seven years ago. 462 00:25:49,000 --> 00:25:51,000 Speaker 2: It was really I just didn't want to get out 463 00:25:51,040 --> 00:25:54,080 Speaker 2: of the triple averaged all cash fire. But the answer 464 00:25:54,200 --> 00:25:58,400 Speaker 2: is Florida isn't Miami, Florida isn't just Coral Gables and 465 00:25:58,920 --> 00:26:01,080 Speaker 2: hedge funds and you know all the other fans, you 466 00:26:01,080 --> 00:26:04,960 Speaker 2: know the life of my it's just you know, there's 467 00:26:05,000 --> 00:26:05,879 Speaker 2: a whole other floor. 468 00:26:05,920 --> 00:26:08,560 Speaker 7: Well, the thing is it's hard to find a play. 469 00:26:08,640 --> 00:26:11,040 Speaker 7: My mom's in Naples, and when she had to move 470 00:26:11,160 --> 00:26:13,880 Speaker 7: places from one retirement community to another, it was. 471 00:26:13,840 --> 00:26:15,560 Speaker 6: Hard to Like, you're on waiting list. I mean it's 472 00:26:15,640 --> 00:26:16,720 Speaker 6: it's hard to funking place. 473 00:26:17,240 --> 00:26:20,680 Speaker 7: So and with more closing down, I'm just okay, you're 474 00:26:20,720 --> 00:26:22,600 Speaker 7: sitting in Jersey, you're sitting the show. 475 00:26:22,880 --> 00:26:23,160 Speaker 5: Okay. 476 00:26:23,560 --> 00:26:28,800 Speaker 7: Next, the highest paid CEOs of twenty twenty three. Okay, 477 00:26:28,800 --> 00:26:30,879 Speaker 7: this is from the Wall Street Journal. They did an 478 00:26:30,880 --> 00:26:35,440 Speaker 7: analysis more than four hundred companies from my log iq. Okay, 479 00:26:35,520 --> 00:26:37,840 Speaker 7: so they found that half of the executives made at 480 00:26:37,920 --> 00:26:40,919 Speaker 7: least fifteen point seven million. That's a record for this survey. 481 00:26:41,359 --> 00:26:44,639 Speaker 7: Several making abouts more than fifty million. The highest paid 482 00:26:44,760 --> 00:26:46,800 Speaker 7: S and P five hundred CEO and twenty twenty three 483 00:26:46,880 --> 00:26:50,480 Speaker 7: goes to broadcoms Hoc Tan, who made one hundred and 484 00:26:50,560 --> 00:26:53,840 Speaker 7: sixty two million dollars. There are certain stipulations, though, we 485 00:26:53,880 --> 00:26:56,000 Speaker 7: had to stand the job for five years, and broadcomes 486 00:26:56,000 --> 00:26:58,440 Speaker 7: share price has to reach certain targets after twenty twenty 487 00:26:58,520 --> 00:27:01,560 Speaker 7: five of October to get that full value. Then he 488 00:27:01,720 --> 00:27:05,520 Speaker 7: was followed down by Polo Alto Networks, Nikesh Aurora and 489 00:27:05,640 --> 00:27:07,480 Speaker 7: third Blackstones Stevens. 490 00:27:07,600 --> 00:27:11,840 Speaker 4: Every single year he's there, Stevens, is it is it? 491 00:27:11,880 --> 00:27:17,600 Speaker 2: Is it appropriate to put equitized risk into compensation studies? 492 00:27:17,760 --> 00:27:21,679 Speaker 4: Tom, the scam, the however you want to phrase it. 493 00:27:21,720 --> 00:27:25,879 Speaker 4: The the structures are basically stock based compensation. It sounds 494 00:27:25,920 --> 00:27:30,800 Speaker 4: good to shareholders. It's based upon metrics that can be 495 00:27:31,720 --> 00:27:37,520 Speaker 4: you know, managed, whether it's cash flow free, cash flow earnings, whatever. 496 00:27:37,760 --> 00:27:41,879 Speaker 4: You can run your business to reach those metrics to 497 00:27:42,080 --> 00:27:47,000 Speaker 4: achieve hurdles. So those hurdles to achieve your stock based 498 00:27:47,040 --> 00:27:50,879 Speaker 4: at risk compensation. And that's what Corporate America and the 499 00:27:50,920 --> 00:27:54,520 Speaker 4: boards and we and shareholders quite frankly and basically signed onto. 500 00:27:54,600 --> 00:27:55,439 Speaker 4: And that's kind of where we are. 501 00:27:55,520 --> 00:27:58,800 Speaker 6: Stock awards that grow in their compensation packages. I'll tell 502 00:27:58,840 --> 00:28:02,320 Speaker 6: you this one. You heard it come out. Scarlet scarlet Johannes, 503 00:28:02,920 --> 00:28:07,960 Speaker 6: huge scarlet Johan. Yes, I think maybe Okay got you 504 00:28:08,040 --> 00:28:10,359 Speaker 6: on that one. She has lawyered up. 505 00:28:10,440 --> 00:28:13,520 Speaker 7: She's fighting backs against open AI for a voice that 506 00:28:13,600 --> 00:28:14,840 Speaker 7: she says sounds like hers. 507 00:28:14,960 --> 00:28:18,680 Speaker 6: So the backstory is voice. In September, she. 508 00:28:18,800 --> 00:28:21,280 Speaker 7: Got an offer from open Ai Sam Altman to be 509 00:28:21,320 --> 00:28:24,880 Speaker 7: the voice of this audio feature for the chat Chept, but. 510 00:28:24,840 --> 00:28:26,120 Speaker 6: She decided to pass on it. 511 00:28:26,359 --> 00:28:29,280 Speaker 7: But then last week open Ai released these new tools 512 00:28:29,320 --> 00:28:32,359 Speaker 7: that included this voice called Sky, and she says it 513 00:28:32,480 --> 00:28:36,320 Speaker 7: sounded just like hers. Altman saying the voice is not hers. 514 00:28:36,400 --> 00:28:38,840 Speaker 7: It was not intended to sound like her. They had 515 00:28:38,840 --> 00:28:42,600 Speaker 7: a you know, a voice actor before even approaching her. 516 00:28:43,560 --> 00:28:45,960 Speaker 7: Open Aye did take down that voice it's called Sky, 517 00:28:46,080 --> 00:28:48,200 Speaker 7: replace it with another voice called Juniper. 518 00:28:48,560 --> 00:28:49,600 Speaker 6: But you see this. 519 00:28:51,400 --> 00:28:53,560 Speaker 2: What she believes is her voice. 520 00:28:54,200 --> 00:28:57,360 Speaker 7: Yes, but it's the point is the battle that you know, 521 00:28:57,400 --> 00:28:58,680 Speaker 7: the strikes were behind it too. 522 00:28:58,800 --> 00:29:00,720 Speaker 6: You know, AI fighting these deep face a. 523 00:29:00,720 --> 00:29:04,040 Speaker 3: Lot Hollywood for the next five years. 524 00:29:04,120 --> 00:29:05,080 Speaker 2: Oh my goodness. 525 00:29:05,160 --> 00:29:07,920 Speaker 4: True and looking at the Bloomberg Bloomberg reporting here that 526 00:29:08,000 --> 00:29:10,520 Speaker 4: Johnson has waited into legal issues in Hollywood before. In 527 00:29:10,560 --> 00:29:13,800 Speaker 4: twenty twenty one, the actress sued Walt Disney, claiming the 528 00:29:13,880 --> 00:29:16,480 Speaker 4: entertainment company broke its promises to release her latest film, 529 00:29:16,520 --> 00:29:19,480 Speaker 4: Black Widow only movie theaters when it made available for streaming. 530 00:29:19,520 --> 00:29:24,240 Speaker 2: So I haven't said this publicly, but Opening I got 531 00:29:24,240 --> 00:29:28,120 Speaker 2: in touch with me about eight months ago, and they said, 532 00:29:28,160 --> 00:29:30,120 Speaker 2: we'll pay you not to use your thoughts. 533 00:29:30,400 --> 00:29:31,960 Speaker 6: I was like, theyre going to use your foot I 534 00:29:31,960 --> 00:29:32,280 Speaker 6: don't care. 535 00:29:32,680 --> 00:29:34,320 Speaker 2: No, they said, it's so bad. 536 00:29:34,840 --> 00:29:37,080 Speaker 6: Ah, we'll pay you to go away. 537 00:29:37,360 --> 00:29:39,000 Speaker 2: Thank you. 538 00:29:39,600 --> 00:29:41,200 Speaker 6: Last one Red Lobster. 539 00:29:41,360 --> 00:29:43,479 Speaker 7: We told you it was filing for bankruptcy, right, But 540 00:29:43,520 --> 00:29:45,480 Speaker 7: now everyone is flushing in. 541 00:29:45,560 --> 00:29:47,440 Speaker 6: They want to get their last meals. 542 00:29:47,080 --> 00:29:49,680 Speaker 7: There, even take home a piece of nostalgia, some of 543 00:29:49,680 --> 00:29:52,520 Speaker 7: the history from there. That twenty dollars oh you can 544 00:29:52,560 --> 00:29:53,760 Speaker 7: eat shrimp deal in June. 545 00:29:53,840 --> 00:29:56,400 Speaker 6: It really killed him. 546 00:29:56,480 --> 00:30:00,240 Speaker 7: But people love the affordable price for seafood that they 547 00:30:00,320 --> 00:30:02,400 Speaker 7: can get there, and that's why people keep going back. 548 00:30:02,560 --> 00:30:05,320 Speaker 7: They say they like the nostalgia they had, you know, 549 00:30:05,480 --> 00:30:10,240 Speaker 7: family parties, birthday parties. And actually Elon Musk did tweet 550 00:30:10,280 --> 00:30:12,120 Speaker 7: that he was unhappy when he. 551 00:30:12,080 --> 00:30:14,160 Speaker 6: Found out that they were filing for bankruptcy. He said, 552 00:30:14,160 --> 00:30:14,640 Speaker 6: too bad. 553 00:30:14,760 --> 00:30:17,200 Speaker 7: I have some fond memories from a long time ago 554 00:30:17,680 --> 00:30:21,160 Speaker 7: eating at Red Lobster. So people have been trying to 555 00:30:21,200 --> 00:30:23,479 Speaker 7: buy certain things when those stores close out, like some 556 00:30:23,520 --> 00:30:26,320 Speaker 7: of the kitchen stuff. They want to buy the Lobster tanks. 557 00:30:26,320 --> 00:30:28,720 Speaker 7: So they want like a piece of the history because 558 00:30:28,760 --> 00:30:29,920 Speaker 7: they say it's been there. 559 00:30:30,080 --> 00:30:32,200 Speaker 2: They go under because they were given away shrimp. 560 00:30:32,400 --> 00:30:35,040 Speaker 6: That's no, no, no, no. 561 00:30:35,720 --> 00:30:37,320 Speaker 4: It had a lot more to do with it, think 562 00:30:37,960 --> 00:30:41,320 Speaker 4: real estate costs and labor costs and so on and 563 00:30:41,320 --> 00:30:43,400 Speaker 4: so forth. But I mean, and then just people. I 564 00:30:43,400 --> 00:30:46,360 Speaker 4: think their demographic has been kind of pencil a little 565 00:30:46,360 --> 00:30:47,000 Speaker 4: bit of the margin. 566 00:30:47,080 --> 00:30:49,400 Speaker 6: So it did, but that was an eleven million dollar 567 00:30:49,520 --> 00:30:50,080 Speaker 6: loss for them. 568 00:30:50,080 --> 00:30:55,720 Speaker 2: That's Lisa Mateo, Thank you so much. With our newspapers. 569 00:30:56,160 --> 00:30:59,400 Speaker 2: This is a Bloomberg Surveillance podcast, bringing you the best 570 00:30:59,400 --> 00:31:04,200 Speaker 2: and economic finance, investment, and international relations. You can also 571 00:31:04,240 --> 00:31:08,280 Speaker 2: watch the show live on YouTube. Visit the Bloomberg Podcast 572 00:31:08,400 --> 00:31:12,440 Speaker 2: channel on YouTube to see the show weekday mornings from 573 00:31:12,480 --> 00:31:15,760 Speaker 2: seven to ten am Eastern from our global headquarters in 574 00:31:15,840 --> 00:31:19,520 Speaker 2: New York City. Subscribe to the podcast on Apple, Spotify, 575 00:31:19,880 --> 00:31:23,440 Speaker 2: or anywhere else you listen, and always on Bloomberg Radio, 576 00:31:23,640 --> 00:31:26,800 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business app.