1 00:00:05,040 --> 00:00:08,639 Speaker 1: This is the Bloomberg Surveillance Podcast. I'm Tom Keene along 2 00:00:08,680 --> 00:00:12,040 Speaker 1: with Paul Sweeney. Join us each day for insight from 3 00:00:12,039 --> 00:00:16,200 Speaker 1: the best in economics, finance, investment, and international relations. You 4 00:00:16,239 --> 00:00:19,599 Speaker 1: can also watch the show live on YouTube. Visit the 5 00:00:19,600 --> 00:00:24,360 Speaker 1: Bloomberg Podcast channel on YouTube to see the show weekday 6 00:00:24,360 --> 00:00:27,400 Speaker 1: mornings from seven to ten am Eastern from our global 7 00:00:27,440 --> 00:00:32,080 Speaker 1: headquarters in New York City. Subscribe to the podcast on Apple, Spotify, 8 00:00:32,440 --> 00:00:36,000 Speaker 1: or anywhere else you listen, and always on Bloomberg Radio, 9 00:00:36,200 --> 00:00:40,159 Speaker 1: the Bloomberg Terminal, and the Bloomberg Business app. He's out 10 00:00:40,200 --> 00:00:43,400 Speaker 1: of the University of Virginia and the Dardens School, and 11 00:00:43,520 --> 00:00:45,920 Speaker 1: both Paul and I agree that Leland Miller owns a 12 00:00:46,000 --> 00:00:49,720 Speaker 1: high ground on analysis of China. His claim to fame 13 00:00:50,280 --> 00:00:54,400 Speaker 1: is micro analysis away from the macro blah blah blah. 14 00:00:54,480 --> 00:00:57,360 Speaker 1: He is with China Beige book. Leland, You've got some 15 00:00:57,400 --> 00:01:01,920 Speaker 1: great slides that say they're working on this. What does 16 00:01:01,960 --> 00:01:07,520 Speaker 1: the Leland Miller jump start to clear their property market disaster. 17 00:01:09,680 --> 00:01:11,240 Speaker 2: Well, I don't think they're going to clear the property 18 00:01:11,240 --> 00:01:14,000 Speaker 2: market disaster at least for not years and years and years. 19 00:01:14,360 --> 00:01:17,560 Speaker 2: And part of that is because this isn't just chaos. 20 00:01:17,640 --> 00:01:21,120 Speaker 2: This isn't just the economy unwinding. This is an intentional 21 00:01:21,680 --> 00:01:25,000 Speaker 2: effort by the government to de leverage the property sector 22 00:01:25,000 --> 00:01:28,280 Speaker 2: in a big way so that property will no longer 23 00:01:28,360 --> 00:01:32,399 Speaker 2: be this powerful driving force for growth going forward because 24 00:01:32,400 --> 00:01:35,400 Speaker 2: they're worried about the credit angle. They're worried about nonperforming loans, 25 00:01:35,640 --> 00:01:38,119 Speaker 2: so they're not worried about growth. They're worried about having 26 00:01:38,120 --> 00:01:39,960 Speaker 2: a more secure and state of economy. 27 00:01:40,000 --> 00:01:42,039 Speaker 1: I used to be there twice a year, sometimes even 28 00:01:42,080 --> 00:01:45,040 Speaker 1: three times a year at a damn plaque at the 29 00:01:45,040 --> 00:01:47,920 Speaker 1: Demandrain Hotel in Hong Kong, Leland. 30 00:01:47,960 --> 00:01:50,600 Speaker 3: That world is gone and the new world. 31 00:01:50,760 --> 00:01:52,960 Speaker 1: The one thing that stayed the same is their effort 32 00:01:52,960 --> 00:01:56,680 Speaker 1: to come over to a consumer society. Have they even 33 00:01:56,760 --> 00:02:00,920 Speaker 1: begun to make the shift toward a more Western market 34 00:02:01,040 --> 00:02:03,480 Speaker 1: society from what we knew twenty years ago? 35 00:02:04,880 --> 00:02:07,040 Speaker 2: Now not even closed and they're actually on a treadmill 36 00:02:07,120 --> 00:02:11,480 Speaker 2: walking backwards. And here's why you can talk about shifting 37 00:02:11,560 --> 00:02:14,600 Speaker 2: from investment to consumption. And they have been talking about 38 00:02:14,680 --> 00:02:18,240 Speaker 2: shifting from investment to consumption. But investment has gone down 39 00:02:18,280 --> 00:02:21,919 Speaker 2: and consumption has not improved. It hasn't grown. The consumption 40 00:02:22,360 --> 00:02:25,519 Speaker 2: incentives in society have not increased whatsoever. In fact, they've 41 00:02:25,560 --> 00:02:27,360 Speaker 2: gone the other way, because what you have to do 42 00:02:27,520 --> 00:02:31,400 Speaker 2: in order to empower consumer is to give consumers more 43 00:02:31,440 --> 00:02:36,040 Speaker 2: spending power, to stop financially suppressing the consumer, financially suppressing households. 44 00:02:36,200 --> 00:02:40,680 Speaker 2: The entire system is based around guiding advantages to the 45 00:02:40,680 --> 00:02:43,400 Speaker 2: state to making sure that that the consumer is not 46 00:02:43,720 --> 00:02:46,120 Speaker 2: better off. And so they have actually haven't moved in 47 00:02:46,200 --> 00:02:48,400 Speaker 2: any way in this one direction. It's been a marketing 48 00:02:48,400 --> 00:02:50,000 Speaker 2: campaign for about twenty years now. 49 00:02:50,680 --> 00:02:54,960 Speaker 4: So Leland, realistically, what can the government do here? I mean, 50 00:02:55,320 --> 00:02:57,919 Speaker 4: we've seen the US government and other Western governments they 51 00:02:57,919 --> 00:03:01,040 Speaker 4: can have a material impact on an economy through monetary policy, 52 00:03:01,040 --> 00:03:03,799 Speaker 4: fiscal policy. What can the Chinese government effectively do there 53 00:03:03,800 --> 00:03:05,280 Speaker 4: for the economy. 54 00:03:05,840 --> 00:03:08,080 Speaker 2: I'm going to say something that's gonna surprise you guys 55 00:03:08,240 --> 00:03:11,040 Speaker 2: and probably everyone else. They don't think they're doing that 56 00:03:11,120 --> 00:03:13,520 Speaker 2: bad a job. And here's why I say this. They 57 00:03:13,520 --> 00:03:16,280 Speaker 2: don't really care about the stock market. Wall Street cares 58 00:03:16,280 --> 00:03:17,880 Speaker 2: about the stock market, so they write a lot of 59 00:03:18,040 --> 00:03:21,240 Speaker 2: notes about how important the stock market is. Chechimpain doesn't 60 00:03:21,240 --> 00:03:23,160 Speaker 2: care about the stock market when it looks at when 61 00:03:23,160 --> 00:03:25,639 Speaker 2: you look at the economy, they used to prioritize high 62 00:03:25,720 --> 00:03:26,400 Speaker 2: levels of growth. 63 00:03:26,520 --> 00:03:27,720 Speaker 5: They're not doing that anymore. 64 00:03:27,880 --> 00:03:33,240 Speaker 2: They're worried about national security priorities, like creating a chip ecosystem, 65 00:03:33,240 --> 00:03:37,240 Speaker 2: domestic hip ecosystem, finding ways around the US dollar payment 66 00:03:37,280 --> 00:03:40,360 Speaker 2: system in the future. That's what keeps them up at night. 67 00:03:40,440 --> 00:03:42,560 Speaker 2: They're not worried about high levels of growth. So the 68 00:03:42,600 --> 00:03:46,120 Speaker 2: fact that their economy is slowing quite dramatically, that isn't 69 00:03:46,160 --> 00:03:48,240 Speaker 2: a major problem. What they have to make sure they 70 00:03:48,280 --> 00:03:52,080 Speaker 2: don't do is have too precipitous, a sudden fall off 71 00:03:52,400 --> 00:03:54,760 Speaker 2: in any of these areas of the economy that creates 72 00:03:54,760 --> 00:03:56,920 Speaker 2: a doom loop of confidence that gets them into trouble. 73 00:03:57,160 --> 00:04:03,000 Speaker 2: But significantly slowing growth, significantly slowing stock market, none of 74 00:04:03,080 --> 00:04:04,760 Speaker 2: these things are party one for them anymore. 75 00:04:05,480 --> 00:04:09,240 Speaker 4: So President g is there any I mean, to the 76 00:04:09,240 --> 00:04:13,120 Speaker 4: extent that this economic you know, unease continues. Is there 77 00:04:13,120 --> 00:04:16,600 Speaker 4: any threat to him or his position in the government 78 00:04:16,720 --> 00:04:18,880 Speaker 4: that could have I guess wider ramifications. 79 00:04:20,920 --> 00:04:22,040 Speaker 5: It's hard to imagine. 80 00:04:22,120 --> 00:04:24,920 Speaker 2: So obviously there's a point at which so many things 81 00:04:24,960 --> 00:04:28,320 Speaker 2: get so bad that that there's probably is a danger line. 82 00:04:28,360 --> 00:04:31,880 Speaker 2: But I think it's impossible to see that from outside 83 00:04:31,920 --> 00:04:34,440 Speaker 2: the country. It's probably impossible to see that from one 84 00:04:34,520 --> 00:04:37,039 Speaker 2: hundred feet away. So yeah, of course that's that's in 85 00:04:37,080 --> 00:04:39,600 Speaker 2: the distance, but it's it's very unlikely we see any 86 00:04:39,640 --> 00:04:41,040 Speaker 2: of this affecting Chijan Pig. 87 00:04:41,200 --> 00:04:42,320 Speaker 5: Like I said, the. 88 00:04:42,200 --> 00:04:44,600 Speaker 2: Party thinks it's doing a good job. It thinks it's 89 00:04:44,600 --> 00:04:47,640 Speaker 2: steering it towards a healthier course going forward, even though 90 00:04:47,680 --> 00:04:50,360 Speaker 2: foreign investors aren't very happy right now, one of. 91 00:04:50,279 --> 00:04:53,720 Speaker 1: Your slides pervades the gloom that's out there, and you 92 00:04:53,839 --> 00:04:57,720 Speaker 1: use loan demand as an example. Away from what Paul 93 00:04:57,800 --> 00:05:01,000 Speaker 1: and I know, away from Hong Kong, maybe six blocks 94 00:05:01,000 --> 00:05:05,200 Speaker 1: of Beijing, maybe down the bund in shanga Hi, away 95 00:05:05,240 --> 00:05:07,839 Speaker 1: from all that is China distressed. 96 00:05:09,880 --> 00:05:13,200 Speaker 2: Yeah, I think that the confidence was shattered under COVID 97 00:05:13,279 --> 00:05:17,239 Speaker 2: zero and it has never returned. So you know, last 98 00:05:17,279 --> 00:05:19,560 Speaker 2: year we didn't see this. You know, there was never 99 00:05:19,560 --> 00:05:21,200 Speaker 2: the big rally and then there were but there's never 100 00:05:21,240 --> 00:05:24,359 Speaker 2: the catastrophic you know, collapse panic that none of that 101 00:05:24,440 --> 00:05:26,320 Speaker 2: was real in the middle of the year. But China's 102 00:05:26,360 --> 00:05:28,440 Speaker 2: weakening and firms don't want to invest, and they don't 103 00:05:28,440 --> 00:05:30,160 Speaker 2: want to borrow, and they don't want to hire, and 104 00:05:30,520 --> 00:05:32,560 Speaker 2: they don't want to do that because they don't like 105 00:05:32,640 --> 00:05:33,719 Speaker 2: the future that they're seeing. 106 00:05:33,839 --> 00:05:36,680 Speaker 1: Okay, So you know, John Taylor's out at Stanford dressed 107 00:05:36,680 --> 00:05:39,320 Speaker 1: like a raisin, and he's saying, Okay, this is what 108 00:05:39,360 --> 00:05:41,640 Speaker 1: you do in a recession, a slow down, et cetera. 109 00:05:42,000 --> 00:05:45,880 Speaker 1: Did they have those tools available that America had in 110 00:05:46,000 --> 00:05:49,440 Speaker 1: nineteen seventy four or nineteen eighty one. Do they have 111 00:05:49,800 --> 00:05:50,960 Speaker 1: the same tools we have? 112 00:05:52,120 --> 00:05:55,719 Speaker 2: They do, But there's some sort of dogmatic resistance against 113 00:05:55,720 --> 00:05:57,560 Speaker 2: consumer sid side stimulus. 114 00:05:57,640 --> 00:05:59,520 Speaker 5: You know, they don't seem to want to do that. Okay, 115 00:06:00,000 --> 00:06:02,680 Speaker 5: it's come on, Leland, it's a totalitarian regime. 116 00:06:03,320 --> 00:06:06,719 Speaker 1: They have to survive. I believe you lectured me that 117 00:06:06,800 --> 00:06:10,400 Speaker 1: they have to keep people employed, right, So don't they 118 00:06:10,480 --> 00:06:11,960 Speaker 1: lose the dogmatic at some. 119 00:06:12,000 --> 00:06:14,440 Speaker 5: Point, one would think. 120 00:06:14,480 --> 00:06:16,320 Speaker 2: But this would be a pretty good time to lose 121 00:06:16,320 --> 00:06:19,520 Speaker 2: that dogmatic right now. You know, they just keep pumping 122 00:06:19,520 --> 00:06:21,800 Speaker 2: more money into the supply side, try to, you know, 123 00:06:21,920 --> 00:06:23,640 Speaker 2: juice up more exports to get them out of the 124 00:06:23,640 --> 00:06:25,560 Speaker 2: president the problem. 125 00:06:25,839 --> 00:06:26,720 Speaker 5: It just doesn't work. 126 00:06:26,760 --> 00:06:29,520 Speaker 2: But they haven't reversed course, at least not yet. 127 00:06:29,720 --> 00:06:32,080 Speaker 4: Hey, Leland, you know, certainly here in the US the 128 00:06:32,320 --> 00:06:34,800 Speaker 4: economy is driven by the consumer. Seventy percent of the 129 00:06:34,880 --> 00:06:38,560 Speaker 4: US economy's consumer driven. Give us a feel for how 130 00:06:38,600 --> 00:06:44,080 Speaker 4: it is in China, consumer versus manufacturing slash industrial. How 131 00:06:44,080 --> 00:06:45,720 Speaker 4: tough is it on the consumer there in China? 132 00:06:47,360 --> 00:06:50,440 Speaker 2: It's terrible because you know, the consumer doesn't you know, 133 00:06:50,520 --> 00:06:53,880 Speaker 2: the consumer has been disadvantaged due to the way that 134 00:06:53,960 --> 00:06:56,840 Speaker 2: China's economic system is set up. You know, one of 135 00:06:56,880 --> 00:07:00,320 Speaker 2: the ways that we've always talked about, you know, chijinping moving. 136 00:07:00,320 --> 00:07:03,240 Speaker 2: If you really truly wanted to incentivise, you know, the 137 00:07:03,320 --> 00:07:06,480 Speaker 2: rise of consumption, then you know, you shift assets from 138 00:07:06,480 --> 00:07:09,840 Speaker 2: the state to the private sector to households. You you, you, 139 00:07:09,840 --> 00:07:12,760 Speaker 2: you know, you improve the you you know, you strengthen 140 00:07:12,800 --> 00:07:15,520 Speaker 2: the currency so there's more persing power. You create this 141 00:07:15,840 --> 00:07:18,640 Speaker 2: a much more robust social safety that all those things 142 00:07:18,680 --> 00:07:21,320 Speaker 2: would give some comfort to the consumer to be able 143 00:07:21,320 --> 00:07:23,560 Speaker 2: to spend more if they if they liked what they 144 00:07:23,560 --> 00:07:25,560 Speaker 2: saw down the road. Right, none of those things are 145 00:07:25,600 --> 00:07:27,680 Speaker 2: really being done, and so you know, you seeing a 146 00:07:27,680 --> 00:07:30,360 Speaker 2: consumer that just hapless and hiding from the world. 147 00:07:30,480 --> 00:07:32,880 Speaker 1: So what's your macro GDP call. I mean, you're the 148 00:07:32,960 --> 00:07:36,000 Speaker 1: king of micro You look at the electric grid outside 149 00:07:36,000 --> 00:07:39,480 Speaker 1: Shanghai down the industrial corridor. Forget about that what's your 150 00:07:39,520 --> 00:07:40,320 Speaker 1: GDP call. 151 00:07:41,720 --> 00:07:44,880 Speaker 2: Yeah, Look, I think that for political reasons, they they 152 00:07:44,920 --> 00:07:48,000 Speaker 2: haven't been able to get away from the GDP target, 153 00:07:48,040 --> 00:07:50,239 Speaker 2: which they want to put in a four to five 154 00:07:51,280 --> 00:07:55,760 Speaker 2: percent range so that they're not shocking markets they're sliding down. 155 00:07:55,880 --> 00:07:58,280 Speaker 2: There's about a three year period in which I think 156 00:07:58,320 --> 00:08:01,560 Speaker 2: they're politically sensitive about having two precipitous a fall of GDP, 157 00:08:01,920 --> 00:08:03,600 Speaker 2: so they want to stick it somewhere in that four 158 00:08:03,640 --> 00:08:06,040 Speaker 2: percent range. For four to five percent range. I think 159 00:08:06,080 --> 00:08:08,600 Speaker 2: when we go beyond three years or so, we're gonna 160 00:08:08,600 --> 00:08:11,560 Speaker 2: see me seeing a much more precipitous fall off in growth, 161 00:08:11,640 --> 00:08:13,800 Speaker 2: and maybe the leadership doesn't care about faked it. 162 00:08:13,840 --> 00:08:16,720 Speaker 1: Any Leland, thank you for the brief. Leilany Miller the 163 00:08:16,760 --> 00:08:29,440 Speaker 1: best with us here with China of Asia. We're in 164 00:08:29,480 --> 00:08:32,280 Speaker 1: the middle of a great experiment and this guest is 165 00:08:32,360 --> 00:08:36,359 Speaker 1: the number one guest on the experiment we're doing worldwide 166 00:08:36,960 --> 00:08:41,000 Speaker 1: with Bloomberg surveillance. Paul Suanian, Tom Keener committed to the 167 00:08:41,040 --> 00:08:45,719 Speaker 1: new distribution, which is YouTube. It's YouTube Bloomberg podcasts. They 168 00:08:45,720 --> 00:08:48,640 Speaker 1: gave me the numbers yesterday. I'm humbled at how it's growing. 169 00:08:49,080 --> 00:08:51,760 Speaker 1: We're starting from you know, it's a brand new nascent 170 00:08:51,880 --> 00:08:57,400 Speaker 1: Google YouTube thing. And this guy is the expert on 171 00:08:57,600 --> 00:09:00,439 Speaker 1: saying we're gonna watch TV, but this is the way 172 00:09:00,440 --> 00:09:02,840 Speaker 1: we're gonna watch it. This is the guy that goes 173 00:09:02,880 --> 00:09:06,280 Speaker 1: back to Madison Avenue and mad Men and all the 174 00:09:06,320 --> 00:09:09,240 Speaker 1: rest of it. And what Brian Weezer says, Paul, I'm sorry, 175 00:09:09,280 --> 00:09:11,160 Speaker 1: I know it's possiful on YouTube. 176 00:09:11,200 --> 00:09:13,760 Speaker 4: Absolutely been reading his stuff, following his work for a 177 00:09:13,880 --> 00:09:18,000 Speaker 4: very long time. Brian Weezer, Madison Wall He's a principal there. Hey, Brian, 178 00:09:18,000 --> 00:09:20,600 Speaker 4: thanks so much for joining us here. I think last 179 00:09:20,640 --> 00:09:24,440 Speaker 4: night our good friends at Walt Disney Company had a 180 00:09:24,480 --> 00:09:27,360 Speaker 4: pretty solid quarter here. They laid out a path to 181 00:09:27,440 --> 00:09:30,640 Speaker 4: profitability for the streaming business. They announced a bunch of 182 00:09:30,760 --> 00:09:33,680 Speaker 4: new kind of deals with some sports streaming stuff. 183 00:09:33,880 --> 00:09:35,520 Speaker 6: What did you take away from Disney over the last 184 00:09:35,520 --> 00:09:36,120 Speaker 6: twelve hours. 185 00:09:37,320 --> 00:09:38,560 Speaker 7: Yeah, well, thanks for having me. 186 00:09:38,600 --> 00:09:42,800 Speaker 8: First of all, I don't really know fully what to 187 00:09:43,559 --> 00:09:47,720 Speaker 8: take away from that call yesterday, because there is a 188 00:09:47,760 --> 00:09:52,160 Speaker 8: bit of a bet the business approach that they might 189 00:09:52,200 --> 00:09:55,000 Speaker 8: be taking or not. It's hard to tell on this 190 00:09:55,200 --> 00:09:57,880 Speaker 8: sports app that they're trying to develop, And really I 191 00:09:57,960 --> 00:10:01,280 Speaker 8: think that's it can't be understand how potentially important it is. 192 00:10:01,760 --> 00:10:06,319 Speaker 8: It could be a nothing burger, so to speak, or 193 00:10:06,400 --> 00:10:10,439 Speaker 8: it could be an everything burger, because it's not clear 194 00:10:10,480 --> 00:10:13,080 Speaker 8: to me how exactly they're going to thread this needle 195 00:10:13,440 --> 00:10:16,240 Speaker 8: to figure out how they're going to find an elusive 196 00:10:16,280 --> 00:10:19,920 Speaker 8: group of people who both love sports enough that they're 197 00:10:19,920 --> 00:10:25,360 Speaker 8: willing to pay probably largish number for that service per month, 198 00:10:25,440 --> 00:10:29,600 Speaker 8: but they don't currently have pay TV. Yeah, I don't 199 00:10:29,679 --> 00:10:32,920 Speaker 8: know if this elusive creature exists. To get that person 200 00:10:33,000 --> 00:10:36,200 Speaker 8: to subscribe, they may have to reduce the price so 201 00:10:36,280 --> 00:10:39,600 Speaker 8: much that they accelerate the demise of their linear services. 202 00:10:40,520 --> 00:10:42,839 Speaker 4: It feels like, Brian, if you look across the media 203 00:10:43,040 --> 00:10:45,720 Speaker 4: landscape that you know it's just a matter of time 204 00:10:45,760 --> 00:10:48,880 Speaker 4: before the linear business as we know it, as we everybody, 205 00:10:48,960 --> 00:10:52,559 Speaker 4: all listeners and viewers grew up with that really is a. 206 00:10:52,520 --> 00:10:53,840 Speaker 6: Thing in the past. It has gone. 207 00:10:53,880 --> 00:10:56,760 Speaker 4: And it just feels like listening to the call the 208 00:10:56,840 --> 00:10:59,679 Speaker 4: last night from Disney that they've made that call and 209 00:10:59,720 --> 00:11:02,199 Speaker 4: they're going to go all in on this streaming business. 210 00:11:02,320 --> 00:11:06,040 Speaker 4: And I guess this deal with Paramount and Fox is 211 00:11:06,120 --> 00:11:07,000 Speaker 4: kind of an interview. 212 00:11:08,200 --> 00:11:12,079 Speaker 1: Who's the guy the activist going after Disney pelts and Pelts. 213 00:11:12,320 --> 00:11:15,480 Speaker 1: Pelts is saying there's a regulatory issue. I agree. I'm 214 00:11:15,480 --> 00:11:18,520 Speaker 1: an amateur in this, but I'm sorry the government's gonna 215 00:11:18,600 --> 00:11:22,800 Speaker 1: let all these people merge into one sports comedy fuck combine. 216 00:11:22,840 --> 00:11:23,040 Speaker 3: Poll. 217 00:11:23,200 --> 00:11:23,920 Speaker 6: What do you think, Brian? 218 00:11:23,960 --> 00:11:26,280 Speaker 4: I mean, I think do you think there is any 219 00:11:26,320 --> 00:11:28,640 Speaker 4: regulatory risks for some of these media companies coming together 220 00:11:28,640 --> 00:11:30,520 Speaker 4: with their sports programming at the very least? 221 00:11:30,760 --> 00:11:34,199 Speaker 8: I mean, this is one of the many, many unknowns 222 00:11:34,280 --> 00:11:38,600 Speaker 8: if in twenty eighteen, Let's remember the reason why Fox 223 00:11:38,600 --> 00:11:42,840 Speaker 8: sold this entertainment business to Disney, yep, was because of 224 00:11:42,880 --> 00:11:46,160 Speaker 8: their fear of Facebook investing in sports rights in India 225 00:11:46,160 --> 00:11:50,400 Speaker 8: initially and eventually everywhere else. That was the catalyst for 226 00:11:50,400 --> 00:11:53,760 Speaker 8: that transaction. And then Disney could not actually consummate the 227 00:11:53,800 --> 00:11:57,360 Speaker 8: transaction including all the rsns and the other sports properties, 228 00:11:58,000 --> 00:12:00,200 Speaker 8: right like, they couldn't because of this issue. And that 229 00:12:00,240 --> 00:12:03,280 Speaker 8: was in a Trump administration. It's not like the competition 230 00:12:03,559 --> 00:12:06,960 Speaker 8: is that much different than it was dead except Facebook's out, 231 00:12:06,880 --> 00:12:11,520 Speaker 8: Amazon's then much more, right, Well, so just settled. 232 00:12:11,360 --> 00:12:14,360 Speaker 1: Just because of time, Brian, some up here do you 233 00:12:14,440 --> 00:12:16,840 Speaker 1: think we are going to see this combination? 234 00:12:18,320 --> 00:12:21,640 Speaker 8: I have no idea. The fact that they didn't have. 235 00:12:21,800 --> 00:12:24,040 Speaker 8: We haven't really heard much from the distributors yet, right, 236 00:12:24,880 --> 00:12:27,439 Speaker 8: I see from the Well Journal that the sports leagues 237 00:12:27,440 --> 00:12:28,520 Speaker 8: were in the dark. 238 00:12:28,600 --> 00:12:30,080 Speaker 7: I really don't know how to take it. 239 00:12:30,800 --> 00:12:33,160 Speaker 1: Brian, I gotta rip up the script here. All my management, 240 00:12:33,240 --> 00:12:35,240 Speaker 1: all the people around me are saying, just shut up, 241 00:12:35,280 --> 00:12:38,360 Speaker 1: Tom and ask Brian about YouTube. Okay, Like here's you know, 242 00:12:38,440 --> 00:12:41,800 Speaker 1: Coco Melon. Okay, kids watch Coco Melan. I know this. 243 00:12:41,920 --> 00:12:42,080 Speaker 7: You know. 244 00:12:42,120 --> 00:12:46,319 Speaker 1: It's how I babysit. It's how I babysit. The grandchildren, 245 00:12:46,520 --> 00:12:49,560 Speaker 1: we watch Coco Melon. They used to watch Coco Melon 246 00:12:49,640 --> 00:12:52,960 Speaker 1: on Netflix. Now they watch Coco Melan on YouTube. I 247 00:12:53,000 --> 00:12:56,800 Speaker 1: got kids. Brian Weezer addicted to YouTube. We're doing YouTube 248 00:12:56,840 --> 00:13:00,160 Speaker 1: here at Bloomberg Surveillance. In five years, Brian Weezer was 249 00:13:00,160 --> 00:13:01,480 Speaker 1: the only game left in town. 250 00:13:02,000 --> 00:13:04,800 Speaker 7: YouTube no, but a big share of it. 251 00:13:04,840 --> 00:13:06,960 Speaker 8: I mean, I estimated this past week they spent maybe 252 00:13:07,000 --> 00:13:09,360 Speaker 8: twenty three billion dollars on content last year. 253 00:13:09,559 --> 00:13:10,880 Speaker 7: So you're getting a good chunk of that. 254 00:13:12,040 --> 00:13:14,840 Speaker 1: Well, I am. I mean, what do the streamers do? 255 00:13:14,920 --> 00:13:17,840 Speaker 1: What does Paul Sweeney's World do about YouTube? 256 00:13:18,880 --> 00:13:21,280 Speaker 8: I think it's an important let's call it. It's a 257 00:13:21,400 --> 00:13:24,120 Speaker 8: tenth of the media industry by itself, right, Like I 258 00:13:24,160 --> 00:13:27,040 Speaker 8: think it's just it's a really important compliment and for 259 00:13:27,120 --> 00:13:29,040 Speaker 8: a lot of people it's a primary way. 260 00:13:28,920 --> 00:13:32,360 Speaker 1: To gets like gun smoke, you know, I it's like 261 00:13:32,440 --> 00:13:33,640 Speaker 1: CBS and gun smoke. 262 00:13:33,640 --> 00:13:36,960 Speaker 4: Okay, Brian, You know, if I'm a Disney investor, am 263 00:13:37,000 --> 00:13:39,960 Speaker 4: I really primarily a theme park investor? 264 00:13:41,880 --> 00:13:44,360 Speaker 8: I don't think that's the catalyst right now. I think 265 00:13:44,360 --> 00:13:46,839 Speaker 8: that theme parks and I haven't really looked close to 266 00:13:46,880 --> 00:13:49,439 Speaker 8: the theme park business since I was nanamals covering the stock. 267 00:13:49,720 --> 00:13:51,840 Speaker 8: But it's it's an important part, but it's not the 268 00:13:51,880 --> 00:13:54,240 Speaker 8: story that's really driving it right now because so much 269 00:13:54,240 --> 00:13:56,840 Speaker 8: of their cash flows dependent on the TV business, which 270 00:13:56,840 --> 00:13:59,160 Speaker 8: goes back to your view and what exactly is this 271 00:13:59,360 --> 00:14:00,920 Speaker 8: inniche of going to be? Is it going to actually 272 00:14:00,960 --> 00:14:02,920 Speaker 8: take off? How much risk are they putting on themselves. 273 00:14:02,960 --> 00:14:05,320 Speaker 8: It's the right long term strategy to your point earlier, 274 00:14:05,559 --> 00:14:08,599 Speaker 8: and if you believe in like a fifty year business investment, 275 00:14:08,840 --> 00:14:11,080 Speaker 8: absolutely they should be doing this, but it doesn't mean 276 00:14:11,080 --> 00:14:13,520 Speaker 8: their economics are going to work out very well, which 277 00:14:13,600 --> 00:14:14,480 Speaker 8: was the issue with Disney. 278 00:14:14,480 --> 00:14:18,000 Speaker 1: Plus your thoughts on Super Bowl advertising, I mean, it 279 00:14:18,120 --> 00:14:20,240 Speaker 1: is a thing peaked out. I mean, Brian, what was 280 00:14:20,240 --> 00:14:22,040 Speaker 1: a seven I thought it was seven. 281 00:14:21,800 --> 00:14:27,600 Speaker 3: Million for a one minute, million a minute? 282 00:14:27,920 --> 00:14:29,440 Speaker 1: Brian, your thoughts as we go to the. 283 00:14:30,800 --> 00:14:34,360 Speaker 8: It's still an incredibly effective medium. It's still there is 284 00:14:34,400 --> 00:14:37,040 Speaker 8: nothing like it in terms of the reach capacity, the 285 00:14:37,120 --> 00:14:40,080 Speaker 8: water cool effect. It's really important that the campaigns around 286 00:14:40,160 --> 00:14:44,280 Speaker 8: the commercials are really strong and they're not just celebrity spectacles. 287 00:14:44,640 --> 00:14:48,080 Speaker 1: Brian, will you watch U on youtubet podcast? We need 288 00:14:48,120 --> 00:14:48,840 Speaker 1: one more person? 289 00:14:49,760 --> 00:14:51,560 Speaker 7: Absolutely, thank you because. 290 00:14:51,360 --> 00:14:52,600 Speaker 1: You know we're working on it. 291 00:14:52,640 --> 00:14:55,480 Speaker 3: Brian Weezer there, Netflix before the reh she's a. 292 00:14:55,480 --> 00:14:58,960 Speaker 1: Very big Yeah. That's actually wicked true. Yeah, yeah, Brian 293 00:14:58,960 --> 00:15:02,960 Speaker 1: Weezer there, Medicine Wall just just outstanding on all this 294 00:15:03,080 --> 00:15:11,680 Speaker 1: confluence of what we're living with each and every day. 295 00:15:11,800 --> 00:15:14,480 Speaker 1: Joining us now on radio, it's a sight to behold, 296 00:15:14,600 --> 00:15:18,960 Speaker 1: even better on YouTube. Wearing the garb of the Great 297 00:15:18,960 --> 00:15:22,640 Speaker 1: Willis of the San Francisco forty nine ers, The retiring 298 00:15:22,920 --> 00:15:26,760 Speaker 1: Christopher Allman joins us now from Kelsters. And what's important 299 00:15:26,840 --> 00:15:31,840 Speaker 1: here is with that ginormous hunk of money, he's delivered 300 00:15:31,880 --> 00:15:38,000 Speaker 1: a total return. Christopher, you have been instrumental in common 301 00:15:38,240 --> 00:15:43,040 Speaker 1: sense with big piles of money what's your number one 302 00:15:43,080 --> 00:15:46,680 Speaker 1: advice to the team that replaces you at Kelster's in June. 303 00:15:47,000 --> 00:15:52,160 Speaker 1: How do you handle those gazillions of dollars? 304 00:15:52,200 --> 00:15:54,760 Speaker 9: Well, Tom, first off, it's an incredible pleasure to speak 305 00:15:54,800 --> 00:15:56,680 Speaker 9: to you again, and thank you for letting me join 306 00:15:56,840 --> 00:16:00,160 Speaker 9: the show. I'm glad to be part of it. Thank 307 00:16:00,200 --> 00:16:02,800 Speaker 9: you for that kind of introduction. Number one piece of advice, 308 00:16:02,840 --> 00:16:05,560 Speaker 9: it's simple what you've always said, don't fight the Fed, 309 00:16:06,280 --> 00:16:08,920 Speaker 9: follow the Fed. And you know, I got to say 310 00:16:09,000 --> 00:16:12,080 Speaker 9: in here, Tom, the markets seem to be fine with 311 00:16:12,160 --> 00:16:12,840 Speaker 9: five percent. 312 00:16:13,000 --> 00:16:14,600 Speaker 10: They did stay there for a while. 313 00:16:15,040 --> 00:16:16,800 Speaker 6: So I mean, and Chris, that kind of goes to it. 314 00:16:16,840 --> 00:16:19,720 Speaker 4: I mean, we saw that performance that just amazed a 315 00:16:19,720 --> 00:16:21,680 Speaker 4: lot of people in November and December, and we've kind 316 00:16:21,680 --> 00:16:24,360 Speaker 4: of had a pretty solid January to start the year. 317 00:16:24,400 --> 00:16:24,720 Speaker 1: Here. 318 00:16:25,840 --> 00:16:28,120 Speaker 6: Did we take some of the twenty four performance late 319 00:16:28,240 --> 00:16:28,720 Speaker 6: last year? 320 00:16:30,400 --> 00:16:30,560 Speaker 7: Oh? 321 00:16:30,600 --> 00:16:32,400 Speaker 9: I got to think so, I mean, goodness, we got 322 00:16:32,440 --> 00:16:35,240 Speaker 9: way too far ahead, Paul. You saw that you know 323 00:16:35,280 --> 00:16:38,880 Speaker 9: we're expecting six cuts. I mean that basically implied that 324 00:16:38,880 --> 00:16:41,520 Speaker 9: we're gonna have a recession at twenty four. 325 00:16:42,520 --> 00:16:43,520 Speaker 10: Way too far ahead. 326 00:16:43,600 --> 00:16:46,200 Speaker 9: Market's got to be choppy in here, But I think 327 00:16:46,200 --> 00:16:47,320 Speaker 9: we realistically. 328 00:16:47,360 --> 00:16:48,360 Speaker 10: This week people are. 329 00:16:48,240 --> 00:16:50,800 Speaker 9: Asking themselves, Gee, could the Fed stay at five for 330 00:16:51,160 --> 00:16:53,400 Speaker 9: a good chunk of this year? And maybe that's okay. 331 00:16:53,440 --> 00:16:56,080 Speaker 9: We're hitting record highs, earnings are okay. 332 00:16:56,560 --> 00:16:59,440 Speaker 1: You started in the trenches at Sacramento, you went to 333 00:16:59,560 --> 00:17:04,280 Speaker 1: Washington State. Now you're running Kelster's with what's a total portfolio? 334 00:17:04,840 --> 00:17:05,760 Speaker 1: Got Chris. 335 00:17:06,960 --> 00:17:11,240 Speaker 6: Seven six billion times that's trillion, that's a billion. That's 336 00:17:11,480 --> 00:17:15,040 Speaker 6: all the state teachers. Yeah, I mean, so he's managing 337 00:17:15,080 --> 00:17:16,480 Speaker 6: the state teachers retirement money. 338 00:17:16,520 --> 00:17:18,879 Speaker 1: What do you do with the magnificent four, five and 339 00:17:19,000 --> 00:17:24,399 Speaker 1: six including the asterisk that it's the culture of your California. 340 00:17:24,480 --> 00:17:26,639 Speaker 1: I mean, you got to own them because it's what 341 00:17:26,720 --> 00:17:29,520 Speaker 1: your people are living out in California. What do you 342 00:17:29,560 --> 00:17:31,040 Speaker 1: do with a magnificent six? 343 00:17:32,760 --> 00:17:36,240 Speaker 9: Yeah, Tom, we're the market. I gave up on active 344 00:17:36,280 --> 00:17:38,919 Speaker 9: management a long time ago. We're active in small caps, 345 00:17:38,920 --> 00:17:40,800 Speaker 9: but in the US we're mostly passive. 346 00:17:40,880 --> 00:17:42,480 Speaker 10: We own the market, so we own. 347 00:17:42,440 --> 00:17:44,960 Speaker 1: Them, so you you own them? I mean, right now, 348 00:17:45,040 --> 00:17:47,480 Speaker 1: in active management, this is a huge issue folks, where 349 00:17:47,480 --> 00:17:50,119 Speaker 1: they're under own on Microsoft and Video, they're all moving 350 00:17:50,160 --> 00:17:53,800 Speaker 1: so fast. Can you keep up with? Correct ownership is 351 00:17:53,840 --> 00:17:56,280 Speaker 1: a passive investor Chris, are you always. 352 00:17:55,920 --> 00:18:01,159 Speaker 9: Behind No, we're right on spot on. I run it internally. 353 00:18:01,160 --> 00:18:03,280 Speaker 9: I have my own team, so they are one hundred 354 00:18:03,280 --> 00:18:05,400 Speaker 9: percent focused on it. They don't have to run ten 355 00:18:05,880 --> 00:18:09,320 Speaker 9: or twenty indexes. They've got their own accounts and we 356 00:18:09,400 --> 00:18:11,240 Speaker 9: nail it every day and they're right on top. 357 00:18:11,359 --> 00:18:12,000 Speaker 1: So important. 358 00:18:12,080 --> 00:18:12,639 Speaker 10: I'm worried. 359 00:18:12,800 --> 00:18:15,040 Speaker 9: So this feels a lot like the nifty to fifty 360 00:18:15,480 --> 00:18:18,760 Speaker 9: all the way back in the sixties seventies. It feels like, oh, 361 00:18:18,800 --> 00:18:21,920 Speaker 9: one oh two, But the earnings are real this time, 362 00:18:22,080 --> 00:18:24,399 Speaker 9: so it could stay this way for a while. 363 00:18:25,040 --> 00:18:27,280 Speaker 4: Hey, Chris, one of the concerns out there, one of 364 00:18:27,320 --> 00:18:28,800 Speaker 4: the headwinds out there, and I don't think people have 365 00:18:28,840 --> 00:18:30,320 Speaker 4: a real good handle on it. 366 00:18:30,320 --> 00:18:32,120 Speaker 6: It's commercial real estate and what it. 367 00:18:32,000 --> 00:18:34,000 Speaker 4: Means for the economy, what it means for the banks. 368 00:18:34,040 --> 00:18:35,520 Speaker 4: I mean, you've got some issues in some of your 369 00:18:35,560 --> 00:18:38,320 Speaker 4: markets out there in California, as we do here on 370 00:18:38,400 --> 00:18:40,680 Speaker 4: the East Coast. How do you and your team kind 371 00:18:40,680 --> 00:18:42,560 Speaker 4: of frame out commercial real estate? Is it big enough 372 00:18:42,560 --> 00:18:43,240 Speaker 4: to be material? 373 00:18:44,600 --> 00:18:44,800 Speaker 7: Oh? 374 00:18:44,840 --> 00:18:45,399 Speaker 10: Absolutely. 375 00:18:45,400 --> 00:18:49,800 Speaker 9: In fact, yesterday we ran at our risk Allocation Committee. 376 00:18:49,840 --> 00:18:53,159 Speaker 9: We talked about the mid center and mid size banks 377 00:18:53,200 --> 00:18:56,680 Speaker 9: that are heavily exposed to commercial real estate. But even 378 00:18:56,760 --> 00:18:59,359 Speaker 9: within commercial real estate, Paul, you got to think about it. 379 00:18:59,359 --> 00:19:03,040 Speaker 9: If they've got warehouses and apartments, they're okay. If it's 380 00:19:03,080 --> 00:19:06,600 Speaker 9: an office portfolio, then you've got to be very worried. 381 00:19:07,320 --> 00:19:10,239 Speaker 9: But I said last year on the radio, on your 382 00:19:10,280 --> 00:19:13,280 Speaker 9: show that I thought real estate would be down, commercial 383 00:19:13,280 --> 00:19:17,159 Speaker 9: office would be down about twenty percent. It's been about 384 00:19:17,160 --> 00:19:17,800 Speaker 9: that range. 385 00:19:17,920 --> 00:19:18,080 Speaker 1: Right. 386 00:19:18,119 --> 00:19:20,600 Speaker 9: Downs have been slow. It's been dropping about five percent 387 00:19:20,640 --> 00:19:24,600 Speaker 9: a quarter. Our office portfolio has gotten hurt as well. 388 00:19:25,080 --> 00:19:28,160 Speaker 9: But in turn, real estate, while it was saft last year, 389 00:19:28,560 --> 00:19:31,239 Speaker 9: you have other parts of the four food groups, as 390 00:19:31,280 --> 00:19:33,480 Speaker 9: we like to say, that have done really, really well. 391 00:19:33,600 --> 00:19:36,520 Speaker 9: So you've really got to dig down within those banks 392 00:19:36,520 --> 00:19:39,760 Speaker 9: that are exposed to commercial real estate and figure out 393 00:19:39,880 --> 00:19:43,439 Speaker 9: what type and who's really exposed to office in the 394 00:19:43,480 --> 00:19:45,720 Speaker 9: B and the C city locations. 395 00:19:45,800 --> 00:19:46,960 Speaker 10: Those people are getting hurt. 396 00:19:47,160 --> 00:19:47,360 Speaker 1: Yep. 397 00:19:47,400 --> 00:19:50,720 Speaker 4: Absolutely so you and your team Chris based in Sacramento, 398 00:19:50,720 --> 00:19:53,320 Speaker 4: of course, the state capital, but you're awfully close to 399 00:19:53,359 --> 00:19:56,320 Speaker 4: Silicon Valley and a lot of folks are saying, boy, 400 00:19:56,760 --> 00:19:59,200 Speaker 4: those guys been kind of quiet in terms of venture capital, 401 00:19:59,240 --> 00:20:02,680 Speaker 4: private equity. You know, it's we talk a lot about AI. 402 00:20:03,240 --> 00:20:05,359 Speaker 4: Do you think We're going to see your friends down 403 00:20:05,440 --> 00:20:07,480 Speaker 4: in Silicon Valley get a little bit more active in 404 00:20:07,520 --> 00:20:08,240 Speaker 4: twenty four. 405 00:20:10,200 --> 00:20:12,600 Speaker 9: I think so I'm starting to see the private equity 406 00:20:12,600 --> 00:20:16,200 Speaker 9: market unfree so the first time, partly because they want 407 00:20:16,200 --> 00:20:18,199 Speaker 9: to raise money, so they've got to kick back some 408 00:20:18,720 --> 00:20:21,000 Speaker 9: distributions and not. 409 00:20:21,080 --> 00:20:22,080 Speaker 10: A few IPOs. 410 00:20:22,119 --> 00:20:24,520 Speaker 9: We had a little bit of merger Monday start up 411 00:20:24,520 --> 00:20:27,040 Speaker 9: in the fall. It needs to come back in here 412 00:20:27,400 --> 00:20:29,680 Speaker 9: for that market to really open up. But I think 413 00:20:29,720 --> 00:20:32,560 Speaker 9: you're going to continue to see innovation out of Silicon 414 00:20:32,640 --> 00:20:37,680 Speaker 9: Valley it is an amazing place, but innovation in Brooklyn 415 00:20:37,760 --> 00:20:40,280 Speaker 9: and in other spots of the USA as well. So 416 00:20:41,240 --> 00:20:44,280 Speaker 9: you're going to see some new ideas. But unfortunately, particularly 417 00:20:44,280 --> 00:20:47,760 Speaker 9: with AI, the biggest firms that can make the investment 418 00:20:47,840 --> 00:20:50,640 Speaker 9: are the ones that are going to dominate. So these 419 00:20:50,720 --> 00:20:53,800 Speaker 9: six seven, as Tom said, ARENA are going to continue 420 00:20:53,840 --> 00:20:55,320 Speaker 9: to grow and be the leaders. 421 00:20:55,720 --> 00:20:58,119 Speaker 1: Chris Salmon, I want you to talk about the greater 422 00:20:58,840 --> 00:21:03,200 Speaker 1: retirement failure of America from the Employment Retirement Income Security 423 00:21:03,240 --> 00:21:06,680 Speaker 1: Act of nineteen seventy four. As you know Roger Ferguson 424 00:21:06,720 --> 00:21:11,000 Speaker 1: at TIAT craft he has providing great leadership on this. If 425 00:21:11,040 --> 00:21:15,400 Speaker 1: you could amend the American retirement failure. What's the first 426 00:21:15,480 --> 00:21:16,080 Speaker 1: thing you'd. 427 00:21:15,920 --> 00:21:21,320 Speaker 9: Do, boy, I would try to aggregate either the assets 428 00:21:21,480 --> 00:21:24,280 Speaker 9: or the liabilities. I think that's really been the thing 429 00:21:24,359 --> 00:21:27,520 Speaker 9: that a defined benefit provides is where we lump together 430 00:21:27,560 --> 00:21:30,680 Speaker 9: the liabilities, spread it over people who live a really 431 00:21:30,720 --> 00:21:32,639 Speaker 9: long time and people who live in a short time. 432 00:21:33,160 --> 00:21:35,479 Speaker 9: The asset management side, you know, the four to one 433 00:21:35,560 --> 00:21:39,240 Speaker 9: K market generally trails us by a full percent. 434 00:21:39,080 --> 00:21:41,359 Speaker 10: By one hundred business points, mostly the fees. 435 00:21:42,160 --> 00:21:44,200 Speaker 1: Okay, but this is critical. Are you telling me to 436 00:21:44,280 --> 00:21:47,680 Speaker 1: find contribution is a failure and we've got to get 437 00:21:47,720 --> 00:21:52,080 Speaker 1: back to some hybrid contribution to find benefit program? Or 438 00:21:52,080 --> 00:21:53,960 Speaker 1: do we go back to what our parents knew? 439 00:21:56,160 --> 00:21:58,840 Speaker 9: Tom, we go back to a hybrid, we go back 440 00:21:58,840 --> 00:22:01,280 Speaker 9: to a mix. You know, the problem with the four 441 00:22:01,440 --> 00:22:03,960 Speaker 9: one K and Rogers spot on, and I've been saying 442 00:22:03,960 --> 00:22:07,600 Speaker 9: it for years is people don't invest early enough. The 443 00:22:07,640 --> 00:22:10,879 Speaker 9: time value of money is powerful. Define benefit forces you 444 00:22:10,920 --> 00:22:13,720 Speaker 9: to put money away the first day you start working. 445 00:22:13,800 --> 00:22:14,640 Speaker 10: A four to one K. 446 00:22:14,720 --> 00:22:17,760 Speaker 9: An average kid starts with a minimum and doesn't start 447 00:22:17,800 --> 00:22:20,000 Speaker 9: putting money away until they're fifty and it's too late. 448 00:22:20,520 --> 00:22:23,440 Speaker 9: The power of investing, and you know it is the time, 449 00:22:23,560 --> 00:22:26,520 Speaker 9: value of money. It's the eighth wonder of the world, 450 00:22:26,600 --> 00:22:30,040 Speaker 9: compounding of interest. So that's what we have on our side. 451 00:22:30,200 --> 00:22:35,480 Speaker 9: Professional management, aggregation of the liabilities. I've got over four 452 00:22:35,560 --> 00:22:38,560 Speaker 9: hundred and fifty teachers that are over one hundred years. 453 00:22:38,400 --> 00:22:39,600 Speaker 10: Old getting a pension. 454 00:22:39,760 --> 00:22:43,639 Speaker 9: Wow, and four one k Tom, like I said, you 455 00:22:43,640 --> 00:22:44,639 Speaker 9: can outlive your money. 456 00:22:45,160 --> 00:22:47,560 Speaker 1: I got one minute left rock perty Could he do it? 457 00:22:47,600 --> 00:22:49,600 Speaker 1: You got to be kidding me. Last guy drafted in 458 00:22:49,640 --> 00:22:51,480 Speaker 1: the NFL. You got to be rooting for the forty 459 00:22:51,560 --> 00:22:51,960 Speaker 1: nine ers. 460 00:22:52,040 --> 00:22:53,640 Speaker 10: I mean, he's been amazing. 461 00:22:53,760 --> 00:22:56,440 Speaker 9: I don't know, Tom, the last two games have I'm 462 00:22:56,480 --> 00:22:59,680 Speaker 9: still stressed from the last two games. We'll see which 463 00:22:59,720 --> 00:23:01,959 Speaker 9: team shows up. It's I think it's gonna come down 464 00:23:02,000 --> 00:23:07,240 Speaker 9: to the coaches. I'll take Shanahan over Spagnola. He's pretty good, 465 00:23:07,280 --> 00:23:10,920 Speaker 9: but I'm worried about Steve wilkeson our defense against Andy Reid. 466 00:23:11,119 --> 00:23:13,160 Speaker 10: Chris Alman, Patrick Mahomes. 467 00:23:12,680 --> 00:23:15,239 Speaker 3: With William Gross rooting for the forty nine ers. 468 00:23:15,320 --> 00:23:18,520 Speaker 1: Chris Saleman, thank you so much for wisdom on America's 469 00:23:18,560 --> 00:23:32,119 Speaker 1: retirement at Kelster's today's front page headlines. She knows the 470 00:23:32,200 --> 00:23:36,080 Speaker 1: rock She's looking at under armour Lisa Matteo, what do 471 00:23:36,080 --> 00:23:36,240 Speaker 1: you go? 472 00:23:36,600 --> 00:23:38,399 Speaker 11: All right, we're talking about the Super Bowl? 473 00:23:38,440 --> 00:23:39,000 Speaker 6: What else? 474 00:23:39,119 --> 00:23:39,320 Speaker 10: Right? 475 00:23:39,400 --> 00:23:40,119 Speaker 6: Okay, so the. 476 00:23:40,000 --> 00:23:42,119 Speaker 1: Walks the Rock is in a box in the fifty 477 00:23:42,200 --> 00:23:42,640 Speaker 1: yard line. 478 00:23:42,680 --> 00:23:44,040 Speaker 6: Oh, most definitely. 479 00:23:44,320 --> 00:23:46,480 Speaker 3: I mean he's in one of those like Taylor boxes. 480 00:23:46,600 --> 00:23:46,879 Speaker 10: I know. 481 00:23:47,359 --> 00:23:48,680 Speaker 11: I'm waiting for the cutaway shots. 482 00:23:48,720 --> 00:23:48,960 Speaker 7: I'm just. 483 00:23:51,200 --> 00:23:51,440 Speaker 9: Too. 484 00:23:52,520 --> 00:23:54,480 Speaker 11: So here's the question for you I have for both 485 00:23:54,480 --> 00:23:57,560 Speaker 11: of you. Would you pay to watch a Super Bowl? 486 00:23:57,560 --> 00:24:01,200 Speaker 11: They're talking about possible pay proof you options. Would you pay? 487 00:24:01,359 --> 00:24:04,440 Speaker 4: It's just like peacock is yeah yeah, And I mean 488 00:24:04,760 --> 00:24:08,480 Speaker 4: Jason gay Uh at the Wall Street Journal has this 489 00:24:08,760 --> 00:24:10,240 Speaker 4: article and it's he's plugged in. 490 00:24:10,320 --> 00:24:13,880 Speaker 6: But I don't know. I don't think it's a national treasure. 491 00:24:13,920 --> 00:24:15,280 Speaker 6: You can't put it behind. 492 00:24:15,040 --> 00:24:17,440 Speaker 5: A paper like like like boxing. 493 00:24:18,760 --> 00:24:19,879 Speaker 3: Box six dollars. 494 00:24:22,160 --> 00:24:24,960 Speaker 11: Yes, you don't know. 495 00:24:25,440 --> 00:24:28,840 Speaker 1: Trust me. I know who Manipaccio is because there's a 496 00:24:28,880 --> 00:24:29,360 Speaker 1: case of. 497 00:24:29,320 --> 00:24:31,720 Speaker 3: The beer from Manila that I have to drink. 498 00:24:31,960 --> 00:24:32,879 Speaker 1: Yeah, yeah, that's right. 499 00:24:32,880 --> 00:24:33,960 Speaker 10: I forgot get that. 500 00:24:34,960 --> 00:24:37,960 Speaker 4: But I can't imagine they would put this national pastime 501 00:24:38,040 --> 00:24:39,119 Speaker 4: of the super But they're. 502 00:24:39,000 --> 00:24:40,720 Speaker 11: Saying, you know what, it has the ability to reach 503 00:24:40,760 --> 00:24:41,720 Speaker 11: one hundred, it does. 504 00:24:41,760 --> 00:24:45,159 Speaker 5: People super Well, oh my god, it. 505 00:24:44,920 --> 00:24:46,280 Speaker 4: I don't know he should be given up all that 506 00:24:46,320 --> 00:24:48,639 Speaker 4: advertising one hundred and something. 507 00:24:48,720 --> 00:24:50,000 Speaker 6: They would probably. 508 00:24:49,760 --> 00:24:52,400 Speaker 11: Keep the commercial because that's what people watch. 509 00:24:52,960 --> 00:24:56,080 Speaker 6: Yeah, this is a beautiful business right here. The way 510 00:24:56,080 --> 00:24:57,880 Speaker 6: it is don't necessas in my. 511 00:24:57,800 --> 00:25:01,080 Speaker 1: Bedroom when the Western light comes in and it glances 512 00:25:01,119 --> 00:25:04,520 Speaker 1: off the portrait of Mannipecchio. It's just great. But I 513 00:25:04,560 --> 00:25:05,119 Speaker 1: got next. 514 00:25:06,280 --> 00:25:08,240 Speaker 11: Okay, we talked about this yesterday. We had it was 515 00:25:08,400 --> 00:25:13,080 Speaker 11: Andrew Murphy from Jean Munster on about the Apple Vision Pro. 516 00:25:13,240 --> 00:25:14,280 Speaker 6: Okay, the headset. 517 00:25:14,520 --> 00:25:16,640 Speaker 11: Now it went on sale, right he was talking about 518 00:25:16,640 --> 00:25:19,040 Speaker 11: how much it was, about thirty five hundred dollars. But 519 00:25:19,119 --> 00:25:22,080 Speaker 11: here's the thing. It's created a resale market. So now 520 00:25:22,119 --> 00:25:25,359 Speaker 11: you have Vision Pro showing up on some Asian marketplaces 521 00:25:25,800 --> 00:25:30,320 Speaker 11: asking prices as high as six thousand, three hundred dollars. 522 00:25:30,400 --> 00:25:32,080 Speaker 6: What do you think, I don't. I mean, it's this 523 00:25:32,400 --> 00:25:33,359 Speaker 6: scarcity value. 524 00:25:33,400 --> 00:25:35,760 Speaker 4: It's the early adopters, correct, you know, it's all the 525 00:25:35,840 --> 00:25:38,120 Speaker 4: tech geeks out there that have to have the latest thing, 526 00:25:38,160 --> 00:25:41,240 Speaker 4: and God love them. And you know, if you're into 527 00:25:41,280 --> 00:25:42,640 Speaker 4: that kind of stuff, this is going to be big 528 00:25:42,680 --> 00:25:45,800 Speaker 4: because anytime Apple gets into a product category, whether it's the. 529 00:25:45,720 --> 00:25:47,840 Speaker 6: Phone or the watch, you know, it's going to be 530 00:25:48,119 --> 00:25:50,680 Speaker 6: a step above. And I think a lot of people. 531 00:25:50,480 --> 00:25:54,040 Speaker 1: And I said, yesterday I got the iPod. 532 00:25:53,520 --> 00:25:54,360 Speaker 6: Yeah, the little thing. 533 00:25:54,680 --> 00:25:59,280 Speaker 1: I got that wrong. But Andrew with Gene Munster, Colgate 534 00:25:59,320 --> 00:26:02,119 Speaker 1: guy put it between the watch and the iPad. 535 00:26:02,240 --> 00:26:06,320 Speaker 6: Right, that's a big, big market next one. 536 00:26:06,359 --> 00:26:06,560 Speaker 10: I know. 537 00:26:06,680 --> 00:26:07,400 Speaker 11: Matter of fact, I forgot. 538 00:26:07,440 --> 00:26:07,920 Speaker 1: That's great. 539 00:26:08,840 --> 00:26:10,360 Speaker 11: I forgot to ask them if it leaves a mark 540 00:26:10,400 --> 00:26:13,880 Speaker 11: on your face that I want to know. All right, 541 00:26:13,960 --> 00:26:15,880 Speaker 11: So we're going on to the New York Times right now. 542 00:26:16,320 --> 00:26:18,760 Speaker 11: They have a story out with about the record heat 543 00:26:18,840 --> 00:26:21,040 Speaker 11: like today, we have a stretch of fifty degree weather 544 00:26:21,080 --> 00:26:25,520 Speaker 11: in Awmerican February. I mean, it's crazy, but we're talking worldwide. Okay, 545 00:26:25,560 --> 00:26:29,040 Speaker 11: So this is from the European Union Climate Monitor. January 546 00:26:29,160 --> 00:26:33,360 Speaker 11: the eighth month in a row global temperatures blue pass records, 547 00:26:33,760 --> 00:26:37,320 Speaker 11: the hottest January on record. And this is coming off 548 00:26:37,359 --> 00:26:40,360 Speaker 11: of last year, which the Earth's warmest year in over 549 00:26:40,400 --> 00:26:42,480 Speaker 11: a century and a half. So you see the trend 550 00:26:42,560 --> 00:26:43,000 Speaker 11: kind of here. 551 00:26:43,359 --> 00:26:44,960 Speaker 6: Even the hottest january for. 552 00:26:44,920 --> 00:26:47,240 Speaker 11: The oceans, which is a big thing because those sea 553 00:26:47,320 --> 00:26:49,280 Speaker 11: surface temperatures warmer oceans. 554 00:26:49,520 --> 00:26:51,679 Speaker 4: Well, I just did the polar plunge down in Seacret, 555 00:26:51,720 --> 00:26:54,399 Speaker 4: New Jersey, West Saturday, it was forty one degree. So 556 00:26:54,480 --> 00:26:56,600 Speaker 4: I don't know where they're getting their their water, but yeah, 557 00:26:56,640 --> 00:26:58,879 Speaker 4: I know I've seen the data. It's just it's incredible, 558 00:27:00,800 --> 00:27:02,000 Speaker 4: you know, I don't know. I'm gonna leave it for 559 00:27:02,040 --> 00:27:02,640 Speaker 4: the smarter people. 560 00:27:04,800 --> 00:27:08,560 Speaker 1: Guys, here's the one person, whether you're four against is 561 00:27:09,240 --> 00:27:12,399 Speaker 1: this is the guy working his heart on this is 562 00:27:12,560 --> 00:27:16,720 Speaker 1: anybody else. His name is Michael Man. He's so an 563 00:27:16,760 --> 00:27:19,040 Speaker 1: academic depending Man. I think he's been at like ten 564 00:27:19,119 --> 00:27:22,119 Speaker 1: schools at last eight years or so. He's out of 565 00:27:22,160 --> 00:27:26,200 Speaker 1: Berkeley and Yale University. And Michael Man owns a high 566 00:27:26,200 --> 00:27:28,640 Speaker 1: ground and he just says, Lisa, to your good point 567 00:27:28,680 --> 00:27:32,320 Speaker 1: of bringing this up, the fact is there's no snow 568 00:27:32,359 --> 00:27:35,159 Speaker 1: in Central Park that you know, where we get a 569 00:27:35,240 --> 00:27:35,919 Speaker 1: dusting this year. 570 00:27:36,200 --> 00:27:36,400 Speaker 5: Nothing. 571 00:27:36,480 --> 00:27:36,880 Speaker 10: Yeah. 572 00:27:36,920 --> 00:27:38,879 Speaker 1: What'd you see out in the climbs the mountains of 573 00:27:38,920 --> 00:27:39,840 Speaker 1: New Jersey. 574 00:27:39,680 --> 00:27:41,880 Speaker 4: Yeah, I mean nothing. I mean, if if you want 575 00:27:41,880 --> 00:27:44,320 Speaker 4: to ski, you have to go. I mean, there's they're 576 00:27:44,359 --> 00:27:46,320 Speaker 4: making snow up up in New England. But you know, 577 00:27:46,359 --> 00:27:48,400 Speaker 4: the real snow is out west because they're getting those 578 00:27:48,760 --> 00:27:50,880 Speaker 4: huge storms out on the west coast and it's been 579 00:27:51,040 --> 00:27:53,760 Speaker 4: you know, we saw the flooding coming in southern California. 580 00:27:53,760 --> 00:27:56,400 Speaker 4: But it's just feet after feet after feet of snow 581 00:27:56,480 --> 00:27:59,159 Speaker 4: up in up in the Sierra and getting that out west. 582 00:27:59,280 --> 00:28:02,320 Speaker 6: So it's climate change, I guess, is how I've come 583 00:28:02,359 --> 00:28:04,840 Speaker 6: to understand, as opposed to you know, global warming, it's 584 00:28:04,840 --> 00:28:08,000 Speaker 6: climate change. Stuff's changing. Well, yeah, the data is the data. 585 00:28:08,040 --> 00:28:08,399 Speaker 6: I don't know. 586 00:28:09,560 --> 00:28:11,800 Speaker 1: Again, I'm going to look at Michael Mann's work and 587 00:28:11,840 --> 00:28:13,760 Speaker 1: I'll put something out on LinkedIn on it, and I 588 00:28:13,760 --> 00:28:15,480 Speaker 1: think he's done some great things. And there's a great 589 00:28:15,520 --> 00:28:18,800 Speaker 1: premer on this from Oxford University, a real short read 590 00:28:18,880 --> 00:28:22,159 Speaker 1: that really gives you some focus, and I get it. 591 00:28:22,160 --> 00:28:24,600 Speaker 1: It's a really contest it could you know it's a 592 00:28:24,640 --> 00:28:25,720 Speaker 1: contested issue. 593 00:28:25,800 --> 00:28:27,000 Speaker 6: Yeah, I don't know. 594 00:28:27,280 --> 00:28:30,040 Speaker 4: I guess kind of Bloomberg fifteen years so I think 595 00:28:30,040 --> 00:28:33,520 Speaker 4: I finally understand it's just the data. Don't just show 596 00:28:33,560 --> 00:28:36,120 Speaker 4: the data then you decided, And the data I look 597 00:28:36,160 --> 00:28:39,160 Speaker 4: at says, you know, tempts are going up and things 598 00:28:39,160 --> 00:28:40,040 Speaker 4: are going not to. 599 00:28:40,000 --> 00:28:42,720 Speaker 1: Sell his worship. I was at Paris with Mike Bloomberg 600 00:28:43,120 --> 00:28:46,600 Speaker 1: with the esteem people, Francine laqual leading our coverage and 601 00:28:46,760 --> 00:28:48,960 Speaker 1: what Mike and others folks are doing and they're saying, 602 00:28:48,960 --> 00:28:53,440 Speaker 1: look all this big macro stuff China US, nobody's getting together. 603 00:28:54,200 --> 00:28:56,360 Speaker 1: If we're going to solve this and control this and 604 00:28:56,440 --> 00:28:58,240 Speaker 1: manage it, we're going to do it on a smaller 605 00:28:58,400 --> 00:29:01,520 Speaker 1: city by city. The cities you know, I'm sorry, are 606 00:29:01,560 --> 00:29:04,640 Speaker 1: the Rooss White you know what, it works, that kind 607 00:29:04,680 --> 00:29:07,000 Speaker 1: of thing. And I think it's going to be open 608 00:29:07,000 --> 00:29:09,080 Speaker 1: to debate, and of course I'm not going to inswuence. 609 00:29:09,080 --> 00:29:12,440 Speaker 1: We got a rocket scientice with Bloomberg Green in London, yep. 610 00:29:12,560 --> 00:29:14,040 Speaker 1: And I was name in front of me right now, 611 00:29:14,080 --> 00:29:17,040 Speaker 1: but you know, I'm Cole and I'm the rest of 612 00:29:17,040 --> 00:29:19,479 Speaker 1: it as well, and you know, I gotta be honest. 613 00:29:19,480 --> 00:29:22,560 Speaker 1: It devolves back right now to China, to Leland Miller's 614 00:29:22,640 --> 00:29:25,640 Speaker 1: China and what they're doing there. Thank you Lisa greatly. 615 00:29:26,000 --> 00:29:30,040 Speaker 1: I appreciate the headlines today. This is the Bloomberg Surveillance Podcast, 616 00:29:30,280 --> 00:29:35,120 Speaker 1: bringing you the best in economics, finance, investment, and international relations. 617 00:29:35,320 --> 00:29:38,720 Speaker 1: You can also watch the show live on YouTube. Visit 618 00:29:38,720 --> 00:29:42,880 Speaker 1: the Bloomberg Podcast channel on YouTube to see the show 619 00:29:43,120 --> 00:29:46,160 Speaker 1: weekday mornings from seven to ten am Eastern from our 620 00:29:46,200 --> 00:29:50,000 Speaker 1: global headquarters in New York City. Subscribe to the podcast 621 00:29:50,040 --> 00:29:54,080 Speaker 1: on Apple, Spotify or anywhere else you listen, and always 622 00:29:54,200 --> 00:29:58,600 Speaker 1: on Bloomberg Radio, the Bloomberg Terminal, and the Bloomberg Business app.