1 00:00:02,720 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,600 --> 00:00:14,560 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:14,640 --> 00:00:17,880 Speaker 1: Eastern on Apple, Cocklay and Android Auto with the Bloomberg 4 00:00:17,920 --> 00:00:21,080 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:24,080 Speaker 1: or watch us live on YouTube as. 6 00:00:24,000 --> 00:00:26,160 Speaker 2: Christina Quino sitting in for Scarlet for I'm Paul Sweeney 7 00:00:26,160 --> 00:00:28,680 Speaker 2: live here on our Bloomberg Interactive Brokers Studio. I always 8 00:00:28,680 --> 00:00:31,640 Speaker 2: love chatting with Kim Farrest, founder and Chief Bestment Officer, 9 00:00:31,680 --> 00:00:32,320 Speaker 2: Bok Partner. 10 00:00:32,360 --> 00:00:32,879 Speaker 3: We love talking to. 11 00:00:32,920 --> 00:00:37,199 Speaker 2: Kim about markets, about technology, AI and maybe I want 12 00:00:37,200 --> 00:00:39,440 Speaker 2: to run this one by Intel. The news on Intel 13 00:00:39,840 --> 00:00:43,600 Speaker 2: shares fell after report said that Nvidia halted a test 14 00:00:43,640 --> 00:00:47,600 Speaker 2: to use Intel's production process to make advanced chips. Kim, 15 00:00:47,880 --> 00:00:50,239 Speaker 2: you mentioned in the notes that your firm is an 16 00:00:50,280 --> 00:00:52,479 Speaker 2: investor in Intel. How do you view this news? Is 17 00:00:52,520 --> 00:00:54,880 Speaker 2: a big news game changer? Don't worry about it kind 18 00:00:54,880 --> 00:00:55,080 Speaker 2: of thing? 19 00:00:56,200 --> 00:00:56,400 Speaker 4: Oh? 20 00:00:56,480 --> 00:00:59,320 Speaker 5: I think you know, as a portfolio manager managing other 21 00:00:59,360 --> 00:01:02,960 Speaker 5: people's mine, you always worry about everything, But on this 22 00:01:03,240 --> 00:01:06,479 Speaker 5: I'm not terribly worried about it. It's a new process 23 00:01:06,640 --> 00:01:11,760 Speaker 5: for Intel. They've been trying hard to compete against Taiwan 24 00:01:11,880 --> 00:01:16,240 Speaker 5: Semi and I think this is a setback for sure, 25 00:01:16,760 --> 00:01:20,000 Speaker 5: but maybe in video really wasn't going to ever use 26 00:01:20,680 --> 00:01:22,400 Speaker 5: Intel's processes. 27 00:01:22,760 --> 00:01:24,080 Speaker 3: We have to think about that. 28 00:01:24,800 --> 00:01:29,280 Speaker 5: And it's good that they tried it against the absolute 29 00:01:29,319 --> 00:01:32,000 Speaker 5: pinnacle of chips at this point, or at least the 30 00:01:32,040 --> 00:01:35,480 Speaker 5: pinnacle of chip makers at this point. So I think 31 00:01:35,560 --> 00:01:41,880 Speaker 5: that the CEO of Intel is someone who actually learns 32 00:01:42,160 --> 00:01:45,320 Speaker 5: and changes, and I believe that this is probably a 33 00:01:45,319 --> 00:01:49,840 Speaker 5: good thing ultimately, as they probably gain Intel probably gained 34 00:01:49,840 --> 00:01:52,520 Speaker 5: a lot of knowledge about what's right and what's wrong 35 00:01:52,560 --> 00:01:53,520 Speaker 5: with the process. 36 00:01:53,960 --> 00:01:57,400 Speaker 6: Yeah, caam, well, very interesting. That seems like really the 37 00:01:57,600 --> 00:02:01,520 Speaker 6: AI trade at this point a lot of discussions around chips, right, 38 00:02:01,600 --> 00:02:04,240 Speaker 6: and the diversification of where these companies are going to 39 00:02:04,280 --> 00:02:07,200 Speaker 6: be getting their chips in Vida no longer perhaps the 40 00:02:07,240 --> 00:02:10,000 Speaker 6: only player in the game. But yeah, what does that 41 00:02:10,120 --> 00:02:13,040 Speaker 6: tell you about where we are in the AI trade cycle? 42 00:02:13,800 --> 00:02:16,000 Speaker 6: Is it a good thing that we are starting to 43 00:02:16,040 --> 00:02:18,360 Speaker 6: see more producers stepping up and saying like, hey, we 44 00:02:18,360 --> 00:02:20,639 Speaker 6: can make these chips too, if you want to take 45 00:02:20,639 --> 00:02:21,520 Speaker 6: a look at our business. 46 00:02:22,760 --> 00:02:23,160 Speaker 7: I do. 47 00:02:23,280 --> 00:02:26,720 Speaker 5: Actually, I think I'm a big fan of capitalism, which 48 00:02:26,720 --> 00:02:30,280 Speaker 5: should be no one not a surprise in anyway. And 49 00:02:30,400 --> 00:02:33,640 Speaker 5: what the very best thing that capitalism does is create 50 00:02:33,760 --> 00:02:38,160 Speaker 5: a competitive environment. And even last year at this time, 51 00:02:38,320 --> 00:02:40,840 Speaker 5: well maybe especially last year at this time, because twenty 52 00:02:40,880 --> 00:02:44,959 Speaker 5: twenty four was the year of Nvidia, I think everybody 53 00:02:44,960 --> 00:02:47,320 Speaker 5: thought it was game over. There was no way for 54 00:02:47,400 --> 00:02:49,840 Speaker 5: any company to be able to compete with them. And 55 00:02:49,960 --> 00:02:52,280 Speaker 5: yet here we are looking at a whole slew of 56 00:02:52,360 --> 00:02:58,120 Speaker 5: not only new competition for the training kind of chips, 57 00:02:58,360 --> 00:03:01,760 Speaker 5: but there's we're broadening out. We're understanding that AI may 58 00:03:01,880 --> 00:03:05,639 Speaker 5: not just be asking chat GPT things, but there's other 59 00:03:05,840 --> 00:03:08,240 Speaker 5: uses for it. And guess what we're going to need 60 00:03:08,280 --> 00:03:11,960 Speaker 5: other chips. So vendors are lining up to try to 61 00:03:12,000 --> 00:03:15,680 Speaker 5: figure out how to best serve this market. Again an 62 00:03:15,760 --> 00:03:17,400 Speaker 5: advertisement for capitalism. 63 00:03:18,080 --> 00:03:22,280 Speaker 2: So Kim has the discussion around AI, to what extent 64 00:03:22,320 --> 00:03:24,960 Speaker 2: has it evolved? If it has it all, it feels 65 00:03:25,000 --> 00:03:28,120 Speaker 2: like now we've got to ask some different questions, like 66 00:03:28,160 --> 00:03:31,560 Speaker 2: maybe the return on some investment, like maybe what's it 67 00:03:31,720 --> 00:03:36,640 Speaker 2: really going to do for productivity? Asking some harder questions, 68 00:03:37,200 --> 00:03:38,360 Speaker 2: how do you think where do you think we are 69 00:03:38,360 --> 00:03:38,920 Speaker 2: in that evolution? 70 00:03:39,920 --> 00:03:42,400 Speaker 5: I think we're just beginning to scratch our head and 71 00:03:42,440 --> 00:03:46,480 Speaker 5: it's disappointing to me. I came from software and the 72 00:03:46,520 --> 00:03:49,200 Speaker 5: reason why I sit before you is because I worked 73 00:03:49,200 --> 00:03:52,600 Speaker 5: at AI companies that weren't asking the question how much 74 00:03:52,680 --> 00:03:56,360 Speaker 5: does my solution cost? And what problem am I solving 75 00:03:56,640 --> 00:03:58,760 Speaker 5: and what's the cost of that problem? 76 00:03:58,960 --> 00:03:59,240 Speaker 8: Right? 77 00:03:59,680 --> 00:04:03,560 Speaker 5: So, how technology has to work. Sorry to tell people 78 00:04:03,920 --> 00:04:08,480 Speaker 5: that it has to solve a problem less expensively than 79 00:04:08,520 --> 00:04:12,120 Speaker 5: the problem itself. That's just it. And I don't think 80 00:04:12,160 --> 00:04:16,839 Speaker 5: we're asking that the price of training these large language 81 00:04:16,839 --> 00:04:21,320 Speaker 5: models is incredible, And I'm not sure that investors are 82 00:04:21,360 --> 00:04:24,080 Speaker 5: really asking the questions that need to be asked, like 83 00:04:24,600 --> 00:04:26,960 Speaker 5: who's going to pay for this? And what's the return 84 00:04:27,080 --> 00:04:29,560 Speaker 5: and all of those kind of good things. Will this 85 00:04:29,760 --> 00:04:33,600 Speaker 5: cause a train wreck? Maybe, but I think it again, 86 00:04:33,880 --> 00:04:36,560 Speaker 5: I'm such an optimist. I think it would be a 87 00:04:36,560 --> 00:04:39,320 Speaker 5: good thing because then would narrow down on how we 88 00:04:39,320 --> 00:04:42,400 Speaker 5: can use this technology to actually get a benefit from it, 89 00:04:42,720 --> 00:04:46,440 Speaker 5: not just because it's cool, interesting, or whatever drives people 90 00:04:46,440 --> 00:04:47,080 Speaker 5: to look at tech. 91 00:04:47,640 --> 00:04:49,400 Speaker 6: Yeah, well, game your question of who's going to pay 92 00:04:49,400 --> 00:04:52,040 Speaker 6: for it? That was definitely the question that Marcus we're asking. 93 00:04:52,320 --> 00:04:54,839 Speaker 6: A few weeks ago, if you recall when we did 94 00:04:54,880 --> 00:04:57,400 Speaker 6: get a little bit of that AI bubble worry of 95 00:04:57,520 --> 00:05:00,159 Speaker 6: permeating the markets. Where do you stand on that? Is 96 00:05:00,200 --> 00:05:03,039 Speaker 6: that actually a good worry for markets to have at 97 00:05:03,040 --> 00:05:05,159 Speaker 6: this stage? And who do you think is going to 98 00:05:05,160 --> 00:05:07,040 Speaker 6: be the winners and losers coming out of that? 99 00:05:07,960 --> 00:05:08,239 Speaker 4: Sure? 100 00:05:08,360 --> 00:05:08,600 Speaker 8: I do. 101 00:05:08,760 --> 00:05:10,520 Speaker 5: I think it's a great question. I think it's the 102 00:05:10,560 --> 00:05:15,080 Speaker 5: only question an investor, not a technologist, an investor should ask, 103 00:05:15,240 --> 00:05:18,480 Speaker 5: is you know who benefits and where should I put 104 00:05:18,480 --> 00:05:21,839 Speaker 5: my money? Yes, it is early days, but I'm looking 105 00:05:21,839 --> 00:05:25,479 Speaker 5: at companies that are very much married to the large 106 00:05:25,560 --> 00:05:28,920 Speaker 5: language model. Most of them are private, and you know 107 00:05:29,000 --> 00:05:31,440 Speaker 5: they're talking in their own book over and over again, 108 00:05:31,520 --> 00:05:35,040 Speaker 5: and I think that should serve as a warning to investors. 109 00:05:35,560 --> 00:05:40,000 Speaker 5: So I think the bubble thing still is out there. 110 00:05:40,360 --> 00:05:44,760 Speaker 5: But ultimately I strongly believe that AI is productive when 111 00:05:44,839 --> 00:05:50,000 Speaker 5: targeted correctly, when asking the right questions, and when delivering solutions. 112 00:05:50,360 --> 00:05:53,960 Speaker 5: But I hate to tell investors this, especially on Christmas, 113 00:05:53,960 --> 00:05:56,200 Speaker 5: because I am an optimist. It's going to take way 114 00:05:56,240 --> 00:05:58,640 Speaker 5: longer than anybody thinks, way longer. 115 00:05:58,360 --> 00:06:00,840 Speaker 3: Way longer. The good things usually waiting for that. They 116 00:06:00,880 --> 00:06:01,920 Speaker 3: say as well. 117 00:06:02,080 --> 00:06:03,880 Speaker 2: Kim Farres, thank you so much, we appreciate it. Kim 118 00:06:03,920 --> 00:06:07,240 Speaker 2: far She's a founder and chief investment officer Bok Capital Partners. 119 00:06:07,240 --> 00:06:10,479 Speaker 2: She's out there in Pittsburgh, one of my favorite towns. 120 00:06:10,839 --> 00:06:13,120 Speaker 3: It's a great town, Pittsburgh. Stay with us. More from 121 00:06:13,160 --> 00:06:15,120 Speaker 3: Bloomberg Intelligence coming up after this. 122 00:06:18,760 --> 00:06:22,400 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 123 00:06:22,520 --> 00:06:25,640 Speaker 1: weekdays at ten am Eastern on Apple, Cocklay and Android 124 00:06:25,640 --> 00:06:28,960 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 125 00:06:29,000 --> 00:06:32,120 Speaker 1: you get your podcasts, or watch us live on YouTube. 126 00:06:32,640 --> 00:06:35,000 Speaker 2: Hi, Christina Quino sitting in for Scarlett film Paul Sweeney 127 00:06:35,040 --> 00:06:37,400 Speaker 2: Live here in our Bloomberg inenrective brokers studio, streaming live 128 00:06:37,480 --> 00:06:40,160 Speaker 2: on YouTube. Well, a federal judge so the Trump administration 129 00:06:40,279 --> 00:06:43,719 Speaker 2: can move ahead with a one hundred thousand dollars fee 130 00:06:43,760 --> 00:06:47,320 Speaker 2: on new h one B visa application, providing setback for 131 00:06:47,480 --> 00:06:50,240 Speaker 2: US technology companies. To get some more color there, were 132 00:06:50,320 --> 00:06:52,640 Speaker 2: joined by Eric Larson. He is a US legal reporter 133 00:06:53,080 --> 00:06:55,040 Speaker 2: for Bloomberg News, joining us live here in a Bloomberg 134 00:06:55,040 --> 00:06:57,160 Speaker 2: inactive broker studio. I mean there's like a handful of 135 00:06:57,200 --> 00:06:59,360 Speaker 2: people in this buildings. Eric's one of them. 136 00:06:59,600 --> 00:07:00,440 Speaker 3: Eric, what's what? 137 00:07:00,640 --> 00:07:03,359 Speaker 2: Just give us the background of this one hundred thousand 138 00:07:03,360 --> 00:07:04,839 Speaker 2: dollars each would be visa thing. 139 00:07:05,520 --> 00:07:08,520 Speaker 9: Sure, so the president put this fee in place, sort 140 00:07:08,520 --> 00:07:11,880 Speaker 9: of surprised everyone with it. One of his many rules 141 00:07:11,880 --> 00:07:15,240 Speaker 9: that he put in place, sort of slowing immigration, targeting immigration, 142 00:07:15,800 --> 00:07:19,239 Speaker 9: saying that individuals who were using these particular visas were 143 00:07:19,800 --> 00:07:25,480 Speaker 9: taking jobs from skilled American workers who could do those 144 00:07:25,600 --> 00:07:29,520 Speaker 9: jobs but get paid more. Essentially, so they accuse these companies, 145 00:07:29,600 --> 00:07:32,680 Speaker 9: these industries of basically profiting. 146 00:07:32,200 --> 00:07:33,600 Speaker 4: From importing cheaper labor. 147 00:07:34,080 --> 00:07:37,880 Speaker 9: And there are several lawsuits were filed and we've got 148 00:07:37,880 --> 00:07:38,600 Speaker 9: our first ruling. 149 00:07:39,560 --> 00:07:43,320 Speaker 6: Yeah, Well, given the popularity of these visas, particularly in 150 00:07:43,360 --> 00:07:47,000 Speaker 6: a tech sector, Eric recom for audience, kind of what's 151 00:07:47,040 --> 00:07:50,520 Speaker 6: been the response from these companies involved and how do 152 00:07:50,640 --> 00:07:54,040 Speaker 6: they envision moving forward with the labor supply. 153 00:07:54,880 --> 00:07:57,200 Speaker 9: Well, I mean, it remains to be seen what will 154 00:07:57,200 --> 00:07:59,920 Speaker 9: actually happen with this one hundred thousand dollars. 155 00:08:00,360 --> 00:08:01,280 Speaker 4: This is one ruling. 156 00:08:01,360 --> 00:08:04,000 Speaker 9: There's a couple of other big lawsuits out there where 157 00:08:04,000 --> 00:08:06,800 Speaker 9: there haven't been rulings yet. So notably, none of those 158 00:08:06,880 --> 00:08:11,160 Speaker 9: lawsuits are filed by the big corporations who use these visas. 159 00:08:11,400 --> 00:08:13,800 Speaker 9: Maybe perhaps they're waiting it out to see what happens 160 00:08:13,800 --> 00:08:16,360 Speaker 9: with the lawsuits, but at any rate. There is another 161 00:08:16,400 --> 00:08:19,640 Speaker 9: big lawsuit filed by a Democratic led states, led by 162 00:08:19,680 --> 00:08:23,800 Speaker 9: California's attorney general. There's another big lawsuit filed by unions 163 00:08:23,800 --> 00:08:26,800 Speaker 9: and a group of nurses, and we haven't gotten any 164 00:08:26,840 --> 00:08:29,320 Speaker 9: rulings on those yet. So theoretically we could get a 165 00:08:29,400 --> 00:08:31,640 Speaker 9: ruling that goes the other way. This could be one 166 00:08:31,680 --> 00:08:33,679 Speaker 9: of the many cases that goes up to the Supreme 167 00:08:33,720 --> 00:08:34,599 Speaker 9: Court eventually. 168 00:08:35,280 --> 00:08:37,520 Speaker 2: What is the reality or what is the data show 169 00:08:37,600 --> 00:08:43,040 Speaker 2: about the need for H one B VISA workers. Is 170 00:08:43,040 --> 00:08:45,679 Speaker 2: there a lack of high tech workers coming out of 171 00:08:45,720 --> 00:08:48,200 Speaker 2: the US, Is there in fact a need for these people? 172 00:08:48,760 --> 00:08:52,199 Speaker 9: Well, it depends who you ask. Each of these lawsuits 173 00:08:52,240 --> 00:08:55,320 Speaker 9: gave a slightly different perspective. The Chamber of Commerce lawsuit, 174 00:08:55,360 --> 00:08:56,720 Speaker 9: which is the one we just had the ruling on 175 00:08:57,240 --> 00:09:00,920 Speaker 9: representing the ideas of businesses. The States are saying that 176 00:09:01,000 --> 00:09:07,640 Speaker 9: this fee harms the states in the capacity of hospitals 177 00:09:07,720 --> 00:09:12,280 Speaker 9: needing H one V VISA employees, teacher like universities, things 178 00:09:12,320 --> 00:09:15,880 Speaker 9: like that. And they're saying that pretty much every part 179 00:09:15,880 --> 00:09:19,520 Speaker 9: of American society somehow uses these visas. 180 00:09:19,800 --> 00:09:21,080 Speaker 4: So it depends on who you ask. 181 00:09:21,440 --> 00:09:24,439 Speaker 9: The government says you can find these skilled workers here 182 00:09:24,480 --> 00:09:26,200 Speaker 9: in the US, you're just going to have to pay 183 00:09:26,240 --> 00:09:28,679 Speaker 9: them more. But that is not at all how these 184 00:09:28,679 --> 00:09:31,400 Speaker 9: plans see it. They say that there's just a huge shortage, 185 00:09:31,480 --> 00:09:35,720 Speaker 9: especially when it comes to hospitals, nurses, and these tech 186 00:09:35,760 --> 00:09:40,000 Speaker 9: companies say that this creates innovation and having more diverse 187 00:09:40,120 --> 00:09:42,479 Speaker 9: views from backgrounds coming in from around the world. 188 00:09:43,080 --> 00:09:44,920 Speaker 4: That are people who are are. 189 00:09:44,840 --> 00:09:48,760 Speaker 9: Deeply you know, steeped in this in the tech sectors. 190 00:09:48,840 --> 00:09:51,120 Speaker 9: It's impossible to really say, you know, both sides are 191 00:09:51,200 --> 00:09:52,320 Speaker 9: pushing pretty hard here. 192 00:09:53,400 --> 00:09:55,839 Speaker 6: Do we have a sense of what's been going on 193 00:09:55,960 --> 00:09:59,800 Speaker 6: in the ground in terms of companies and workers involved 194 00:09:59,840 --> 00:10:02,640 Speaker 6: in in the process currently of trying to obtain an 195 00:10:02,640 --> 00:10:05,520 Speaker 6: age one B. I imagine there's a lot of confusion and 196 00:10:05,640 --> 00:10:07,000 Speaker 6: maybe delays in the process. 197 00:10:07,080 --> 00:10:09,400 Speaker 4: Now, yes, I would think so. 198 00:10:09,440 --> 00:10:12,280 Speaker 9: I've spoken immigration lawyers who say that this is a 199 00:10:12,400 --> 00:10:16,880 Speaker 9: huge problem for them and their clients and expectations of 200 00:10:16,920 --> 00:10:19,480 Speaker 9: people who thought they might be able to use this visa. 201 00:10:20,440 --> 00:10:22,720 Speaker 4: But for now, I mean, this ruling. 202 00:10:22,400 --> 00:10:25,800 Speaker 9: Makes it pretty clear that this might be the law 203 00:10:25,800 --> 00:10:28,679 Speaker 9: of the land for a while. This was an Obama 204 00:10:28,720 --> 00:10:32,520 Speaker 9: appointed judge who said that the president has this broad 205 00:10:32,559 --> 00:10:35,800 Speaker 9: authority that Congress gave him. In the Immigration and Nationality 206 00:10:35,840 --> 00:10:40,200 Speaker 9: Act gave the president this type of authority when the 207 00:10:40,240 --> 00:10:43,800 Speaker 9: president believes that someone is or a group of people 208 00:10:43,920 --> 00:10:46,959 Speaker 9: are a threat to the economy, that that's in the 209 00:10:47,600 --> 00:10:51,280 Speaker 9: Immigration and Nationality Act. So this Democratic appointed judge who's 210 00:10:51,320 --> 00:10:53,959 Speaker 9: ruled against Trump on other things is saying he has 211 00:10:54,000 --> 00:10:56,560 Speaker 9: this authority. And that's kind of not saying that every 212 00:10:56,559 --> 00:10:58,640 Speaker 9: other judge will rule the same way in these other cases. 213 00:10:59,040 --> 00:11:01,480 Speaker 9: But that is how these individuals are gonna have to 214 00:11:01,480 --> 00:11:03,959 Speaker 9: look at it, these companies in terms of planning for 215 00:11:04,400 --> 00:11:06,480 Speaker 9: the future and as well as workers. 216 00:11:06,960 --> 00:11:09,120 Speaker 3: Yeah, I don't see this just personally. I don't see 217 00:11:09,120 --> 00:11:11,080 Speaker 3: this as a big issue for the big tech companies. 218 00:11:11,080 --> 00:11:13,080 Speaker 2: They can afford it. They can whine, they can afford it. 219 00:11:13,440 --> 00:11:16,880 Speaker 2: But you mentioned healthcare, and I'm thinking I keep hearing 220 00:11:16,920 --> 00:11:19,560 Speaker 2: and reading about nursing shortages and things like that, and 221 00:11:19,600 --> 00:11:22,280 Speaker 2: I would think they try to fill some of the 222 00:11:22,400 --> 00:11:25,199 Speaker 2: shortages with non US workers via the H one B 223 00:11:25,400 --> 00:11:28,280 Speaker 2: visa situation. That could be a problem if you're a 224 00:11:28,280 --> 00:11:30,360 Speaker 2: hospital and now you're saying it where I'm a you know, 225 00:11:30,360 --> 00:11:32,160 Speaker 2: I got to pay more to get my nurses in 226 00:11:32,240 --> 00:11:33,280 Speaker 2: from wherever I get them. 227 00:11:33,840 --> 00:11:34,960 Speaker 4: That would be a child problem. 228 00:11:35,000 --> 00:11:37,280 Speaker 9: I would think absolutely, And that was a highlight of 229 00:11:37,320 --> 00:11:42,080 Speaker 9: the case filed by the nineteen or twenty Democratic attorneys general, 230 00:11:42,880 --> 00:11:45,080 Speaker 9: most of them in the country said that, you know, 231 00:11:45,120 --> 00:11:47,800 Speaker 9: this is a particular problem, and that's how they the 232 00:11:47,840 --> 00:11:49,680 Speaker 9: states in one of the ways they said they have 233 00:11:49,840 --> 00:11:51,720 Speaker 9: standing to sue. You know that they have a right 234 00:11:51,760 --> 00:11:55,559 Speaker 9: to sue, is saying that the threat to the healthcare 235 00:11:55,640 --> 00:11:59,400 Speaker 9: industry in particular makes it a public issue that the 236 00:11:59,440 --> 00:12:03,640 Speaker 9: states have responsibility to sue over essentially saying that they 237 00:12:03,640 --> 00:12:07,240 Speaker 9: need to keep the flow of these skilled healthcare workers 238 00:12:07,280 --> 00:12:07,679 Speaker 9: coming in. 239 00:12:08,040 --> 00:12:10,319 Speaker 2: Is that also for students as well? How do I 240 00:12:10,320 --> 00:12:11,880 Speaker 2: get that student visas are different? 241 00:12:11,880 --> 00:12:14,840 Speaker 4: I guess yeah, that's a different different because that's. 242 00:12:14,679 --> 00:12:17,559 Speaker 2: Also been a challenge for universities all the uncertainty about immigration. 243 00:12:18,320 --> 00:12:22,840 Speaker 2: A lot of their international applicants are down significant because 244 00:12:23,360 --> 00:12:25,520 Speaker 2: those people are unsure about what the policy is going 245 00:12:25,600 --> 00:12:27,600 Speaker 2: to be in the US, and that's hurting the universities 246 00:12:27,600 --> 00:12:29,160 Speaker 2: who depend upon them to some degree. 247 00:12:29,360 --> 00:12:30,640 Speaker 3: Eric, thanks so much, appreciate it. 248 00:12:30,720 --> 00:12:34,720 Speaker 2: Eric Larson, us legal reporter for Bloomberg News, joining us 249 00:12:34,760 --> 00:12:39,200 Speaker 2: in our Bloomberg Interactive Brokers Studio Extra Star today. Eric 250 00:12:39,240 --> 00:12:41,520 Speaker 2: for coming in on Christmas Eve. 251 00:12:41,720 --> 00:12:44,840 Speaker 3: Stay with us. More from Bloomberg Intelligence coming up after this. 252 00:12:48,720 --> 00:12:52,400 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 253 00:12:52,480 --> 00:12:55,880 Speaker 1: weekdays at ten am Eastern on Applecarplay and Android Auto 254 00:12:55,960 --> 00:12:59,040 Speaker 1: with the Bloomberg Business App. Listen on demand wherever you 255 00:12:59,080 --> 00:13:02,560 Speaker 1: get your podcasts, or watch us live on YouTube. 256 00:13:02,920 --> 00:13:06,240 Speaker 2: Chicken with Smasha. She's a vice president Research and Insights 257 00:13:06,240 --> 00:13:10,280 Speaker 2: at Censor Tower. Sema, thanks so much for joining us here. 258 00:13:11,200 --> 00:13:13,360 Speaker 2: What are you seeing out there in I mean it's 259 00:13:13,440 --> 00:13:15,040 Speaker 2: Christmas season here? What are you seeing out there in 260 00:13:15,080 --> 00:13:15,760 Speaker 2: the marketplace? 261 00:13:18,280 --> 00:13:20,400 Speaker 7: I mean I would say, like we're talking about retail, 262 00:13:20,559 --> 00:13:23,920 Speaker 7: I will say that, you know, our figures are slower 263 00:13:23,920 --> 00:13:26,240 Speaker 7: than they were in the prior years in terms of 264 00:13:26,720 --> 00:13:30,240 Speaker 7: monthly active users and in terms of traffic we're seeing 265 00:13:30,240 --> 00:13:34,160 Speaker 7: and some of the mobile apps has definitely been a 266 00:13:34,160 --> 00:13:36,240 Speaker 7: little bit slower. And we're also seeing a sort of 267 00:13:36,280 --> 00:13:41,080 Speaker 7: a skew to value. So if you think of like 268 00:13:41,160 --> 00:13:42,600 Speaker 7: the team Moves of the world as have sort of 269 00:13:42,600 --> 00:13:46,320 Speaker 7: seen a resurgence, but also life Polesale and other value players, 270 00:13:47,000 --> 00:13:49,800 Speaker 7: that's what we're sort of seeing in their retail landscape. 271 00:13:49,800 --> 00:13:53,120 Speaker 7: But I think from a broader step back if we 272 00:13:53,200 --> 00:13:55,760 Speaker 7: just look across categories in the US, I would say 273 00:13:55,800 --> 00:14:00,640 Speaker 7: that there's still this pressure on discretionary sort of expenditure. 274 00:14:00,760 --> 00:14:03,280 Speaker 7: So based on how we look at the mobile app universe, 275 00:14:03,320 --> 00:14:06,640 Speaker 7: if you look at like dating app, subscriber revenue and 276 00:14:06,760 --> 00:14:10,440 Speaker 7: interaction is down, same with streaming as a whole. So 277 00:14:11,320 --> 00:14:13,080 Speaker 7: that's kind of what we're seeing at like a fifty 278 00:14:13,120 --> 00:14:13,960 Speaker 7: thousand fut level. 279 00:14:14,480 --> 00:14:16,880 Speaker 2: I mean, net how is this season going to be 280 00:14:17,000 --> 00:14:19,200 Speaker 2: in terms of the Christmas season? 281 00:14:19,240 --> 00:14:20,360 Speaker 3: And that just a holiday season. 282 00:14:20,560 --> 00:14:22,920 Speaker 2: I mean there's lots of reports out there that the 283 00:14:22,920 --> 00:14:25,320 Speaker 2: consumers stretched and all that type of stuff. 284 00:14:26,760 --> 00:14:29,560 Speaker 7: Yeah, and our data sort of confirms that, both our 285 00:14:29,600 --> 00:14:31,800 Speaker 7: mobile and our web data. And the other thing that 286 00:14:31,840 --> 00:14:36,120 Speaker 7: we saw is when we looked at the advertising spend 287 00:14:36,200 --> 00:14:39,800 Speaker 7: in prior years versus this year, we can already see 288 00:14:39,800 --> 00:14:42,160 Speaker 7: that in this fourth quarter there's been a slow down 289 00:14:42,240 --> 00:14:45,880 Speaker 7: in overall ad spend, which typically means that presumably the 290 00:14:45,920 --> 00:14:48,240 Speaker 7: advertisers think that there'll be a pullback and spending. And 291 00:14:48,280 --> 00:14:50,880 Speaker 7: we've sort of seen that slow down across the metrics 292 00:14:50,920 --> 00:14:53,600 Speaker 7: that we follow and that we sort of used to 293 00:14:53,720 --> 00:14:56,680 Speaker 7: infer how people are spending. What our metric don't take 294 00:14:56,680 --> 00:15:00,360 Speaker 7: into account that would be inflation and anything to do 295 00:15:00,400 --> 00:15:03,400 Speaker 7: specifically with price. So I think when we get the 296 00:15:03,440 --> 00:15:06,040 Speaker 7: retail sales numbers and other sort of comp numbers, we 297 00:15:06,080 --> 00:15:08,640 Speaker 7: should be cognizant to see how much of that was 298 00:15:08,680 --> 00:15:12,280 Speaker 7: price versus traffic, because from our end, the traffic part 299 00:15:12,320 --> 00:15:13,600 Speaker 7: seems to definitely be weaker. 300 00:15:13,840 --> 00:15:15,320 Speaker 2: All right, seem I was throwing for a loop here 301 00:15:15,320 --> 00:15:17,640 Speaker 2: because I know you in the context of talking about retail. 302 00:15:17,680 --> 00:15:21,640 Speaker 2: But yes, so now, okay, so now you've brought your 303 00:15:21,720 --> 00:15:24,640 Speaker 2: remit here and you can talk about I guess some 304 00:15:24,760 --> 00:15:25,240 Speaker 2: of these. 305 00:15:25,160 --> 00:15:26,240 Speaker 3: Media deals out there. 306 00:15:26,640 --> 00:15:28,320 Speaker 2: I love to get your thoughts on kind of what's 307 00:15:28,320 --> 00:15:30,000 Speaker 2: happening in Warner Brothers Discovery. 308 00:15:30,840 --> 00:15:34,600 Speaker 7: Yes, absolutely so. As everybody knows, there's two competing bids, 309 00:15:34,720 --> 00:15:40,600 Speaker 7: Netflix versus Paramount Skydance, and from our perspective, the results 310 00:15:40,640 --> 00:15:43,160 Speaker 7: of each merger, if they were passed, are very different, 311 00:15:43,200 --> 00:15:47,040 Speaker 7: and what Warner Brothers brings to each group is very different. Right. 312 00:15:47,080 --> 00:15:51,120 Speaker 7: Netflix is the leader by far, oh nearly fifty percent 313 00:15:51,160 --> 00:15:54,840 Speaker 7: of all monthly active users globally are on Netflix. For Paramount, 314 00:15:54,880 --> 00:15:57,560 Speaker 7: on the other hand, it's only four percent, with HBO 315 00:15:57,760 --> 00:16:03,200 Speaker 7: around ten percent. So if Netflix acquires Warner Brothers it 316 00:16:03,280 --> 00:16:06,320 Speaker 7: becomes even larger and more likely that people will not 317 00:16:06,400 --> 00:16:08,880 Speaker 7: be able to get caught up with them. For paramount, 318 00:16:09,120 --> 00:16:12,120 Speaker 7: the addition of HBO is huge. It jumps them up 319 00:16:12,160 --> 00:16:16,120 Speaker 7: to the same level of active user penetration as Disney 320 00:16:16,120 --> 00:16:19,120 Speaker 7: plus an Amazon Prime. It gives them access to tent 321 00:16:19,200 --> 00:16:22,600 Speaker 7: pole content, you know, like The Game of Thrones, White Lotus. 322 00:16:22,920 --> 00:16:26,680 Speaker 7: It kind of puts them into the higher sphere of 323 00:16:27,120 --> 00:16:31,240 Speaker 7: streamers in terms of content. For Netflix, it gives them 324 00:16:31,280 --> 00:16:35,360 Speaker 7: the opportunity to maybe jumpstart their subscriber growth. Right, it's 325 00:16:35,360 --> 00:16:38,440 Speaker 7: been pretty stagnant to down because they're so large, but 326 00:16:38,720 --> 00:16:42,600 Speaker 7: HBO is really the fastest growing international streamer that we follow, 327 00:16:42,880 --> 00:16:45,560 Speaker 7: So this would be an opportunity for Netflix to pick 328 00:16:45,640 --> 00:16:50,400 Speaker 7: up those users potentially, but also to leverage its content creation. 329 00:16:51,760 --> 00:16:54,960 Speaker 7: You know, Bohemoth that they can make local language content 330 00:16:55,000 --> 00:16:57,480 Speaker 7: and apply that to HBO's content. So I think there's 331 00:16:57,520 --> 00:17:00,000 Speaker 7: a lot of opportunity, but it just to really depends 332 00:17:00,200 --> 00:17:03,240 Speaker 7: on who ends up getting the deal or not what 333 00:17:03,360 --> 00:17:05,000 Speaker 7: it does for each player. 334 00:17:05,200 --> 00:17:07,760 Speaker 6: Yeah, we'll see that. It sounds like we're nowhere close 335 00:17:07,800 --> 00:17:10,480 Speaker 6: to finding who end up getting the deal because you know, 336 00:17:10,520 --> 00:17:13,000 Speaker 6: Warner Brothers leadership very clear they want to push their 337 00:17:13,040 --> 00:17:16,560 Speaker 6: investors to go with Netflix here, but then Larry Ellison 338 00:17:17,000 --> 00:17:21,840 Speaker 6: waiting into this battle in personally guaranteeing some of that 339 00:17:22,000 --> 00:17:25,000 Speaker 6: bid from Paramount. So where do you think these firms 340 00:17:25,000 --> 00:17:28,040 Speaker 6: stand in terms of who's closer to be able to 341 00:17:28,160 --> 00:17:30,120 Speaker 6: finally clinch the deal at the end of the day. 342 00:17:30,760 --> 00:17:33,399 Speaker 7: Well, I think just generally because the Warner Brothers board 343 00:17:33,480 --> 00:17:38,639 Speaker 7: is on board with Netflix, that definitely makes that seem 344 00:17:38,680 --> 00:17:40,960 Speaker 7: like a more likely deal. However, and I think that 345 00:17:41,040 --> 00:17:44,280 Speaker 7: if Paramount wants to get the deal, they have to 346 00:17:44,320 --> 00:17:47,440 Speaker 7: continue to increase their bid. I know that they recently 347 00:17:48,600 --> 00:17:52,360 Speaker 7: offered the same breakup fee as Netflix, but I think 348 00:17:52,400 --> 00:17:54,760 Speaker 7: there might be some other fees that they would have 349 00:17:54,800 --> 00:17:57,840 Speaker 7: to increase the value of that bid in order to 350 00:17:57,920 --> 00:18:01,040 Speaker 7: make it worth their while, you know so? And I 351 00:18:01,040 --> 00:18:04,200 Speaker 7: think it also depends on the value of discovery, which 352 00:18:04,240 --> 00:18:07,600 Speaker 7: I have heard valuations from one dollar to almost four 353 00:18:07,640 --> 00:18:09,879 Speaker 7: dollars per share for that portion of the business for 354 00:18:09,880 --> 00:18:13,639 Speaker 7: the linear TV. So I think it really depends on 355 00:18:13,760 --> 00:18:15,800 Speaker 7: how people view that because the Netflix bid does not 356 00:18:15,840 --> 00:18:16,280 Speaker 7: include that. 357 00:18:17,119 --> 00:18:18,919 Speaker 2: What do you think the regulators are going to say 358 00:18:18,920 --> 00:18:20,840 Speaker 2: about this deal going forward? 359 00:18:21,640 --> 00:18:22,080 Speaker 3: Yeah? 360 00:18:22,119 --> 00:18:25,280 Speaker 7: So, I mean to be fair, Look, Netflix is so large. 361 00:18:25,320 --> 00:18:28,000 Speaker 7: If they acquired Warner Brothers and they had HBO, they 362 00:18:28,000 --> 00:18:31,480 Speaker 7: would be by far the largest. But in the grand 363 00:18:31,520 --> 00:18:35,200 Speaker 7: scheme of life, like HBO is only ten percent of MAUS, 364 00:18:35,680 --> 00:18:39,600 Speaker 7: Netflix is already almost fifty percent. So it does make 365 00:18:39,640 --> 00:18:41,720 Speaker 7: it a little bit more difficult, I think, for the 366 00:18:41,800 --> 00:18:44,080 Speaker 7: average streamer to try to catch up to them. But 367 00:18:45,520 --> 00:18:48,359 Speaker 7: I don't think it's completely uncompetitive for I mean, but 368 00:18:48,440 --> 00:18:52,359 Speaker 7: I think that it'll be viewed potentially as uncompetitive just 369 00:18:52,400 --> 00:18:57,200 Speaker 7: because if other streamers also start consolidating, there's or fewer 370 00:18:57,240 --> 00:19:00,439 Speaker 7: options for consumers. And we're already seeing pricing issues for 371 00:19:00,520 --> 00:19:04,560 Speaker 7: subscribe for subscriptions both ad supported and non ad supported, 372 00:19:04,640 --> 00:19:08,119 Speaker 7: So I think that will be a concern, you know, 373 00:19:08,160 --> 00:19:11,160 Speaker 7: for regulatory purposes. For Netflix pre paramount, I don't really 374 00:19:11,200 --> 00:19:15,120 Speaker 7: see an, uh, you know, a real regulatory issue given 375 00:19:15,160 --> 00:19:19,439 Speaker 7: that its size is very small, and even with HBO, 376 00:19:19,600 --> 00:19:22,280 Speaker 7: it would just be on par with Disney Plus and 377 00:19:22,320 --> 00:19:26,160 Speaker 7: Amazon Prime, so it seems like it would have less 378 00:19:26,160 --> 00:19:28,600 Speaker 7: of an impact from a regulatory perspective. 379 00:19:28,960 --> 00:19:29,520 Speaker 3: And we'll see that. 380 00:19:29,560 --> 00:19:31,720 Speaker 6: You make an interesting point about kind of how this 381 00:19:31,800 --> 00:19:35,520 Speaker 6: could potentially change the streamer landscape, right and especially when 382 00:19:35,520 --> 00:19:38,199 Speaker 6: it comes to consolidation. Where do you see that going. 383 00:19:38,400 --> 00:19:40,399 Speaker 6: Which other streamers do you think might be prime for 384 00:19:40,520 --> 00:19:41,880 Speaker 6: a similar deal like this? 385 00:19:43,600 --> 00:19:46,840 Speaker 7: Well, you already saw Disney Plus sort of buy out 386 00:19:46,880 --> 00:19:50,280 Speaker 7: the rest of Hulu, So that is one form of consolidation, right, 387 00:19:50,280 --> 00:19:52,880 Speaker 7: they're all own together. I'm not sure if the other 388 00:19:52,960 --> 00:19:55,560 Speaker 7: streamers are are part of some of these larger companies, 389 00:19:55,560 --> 00:19:59,760 Speaker 7: so they are less likely to be acquired. But I 390 00:19:59,840 --> 00:20:02,560 Speaker 7: do think that if we're thinking from a competitive standpoint, 391 00:20:02,720 --> 00:20:05,119 Speaker 7: if you really want to understand this, you have to 392 00:20:05,119 --> 00:20:07,719 Speaker 7: realize that the streamers are not just competing with themselves. 393 00:20:08,000 --> 00:20:10,639 Speaker 7: They're basically competing with anything else that takes time. And 394 00:20:10,680 --> 00:20:13,199 Speaker 7: so we view that as like short form video and 395 00:20:13,280 --> 00:20:17,959 Speaker 7: social media. So if you broaden the landscape to include those, 396 00:20:18,200 --> 00:20:22,879 Speaker 7: neither deal is really anti competitive, right because users have 397 00:20:22,960 --> 00:20:25,320 Speaker 7: so many options on the ways to get content and 398 00:20:25,359 --> 00:20:28,560 Speaker 7: the way that they view content. And I think so 399 00:20:29,000 --> 00:20:32,320 Speaker 7: short form video and streaming, social storry, social media are 400 00:20:32,480 --> 00:20:37,080 Speaker 7: very growing, and you know, competitors that the streamers need 401 00:20:37,119 --> 00:20:41,320 Speaker 7: to look for. So I so on the consolidation question, 402 00:20:41,400 --> 00:20:43,879 Speaker 7: I don't think that's necessarily going to be a roll 403 00:20:44,000 --> 00:20:45,840 Speaker 7: up of the industry. But and I think from the 404 00:20:45,880 --> 00:20:48,520 Speaker 7: anti competitive spart portion. We should really look at the 405 00:20:48,560 --> 00:20:51,880 Speaker 7: broader space of how consumers spend their time. 406 00:20:52,160 --> 00:20:52,400 Speaker 4: Yeah. 407 00:20:52,440 --> 00:20:54,600 Speaker 6: Well, speaking of the broader space, then what's all look 408 00:20:54,680 --> 00:20:57,720 Speaker 6: for twenty twenty six? How do you think, Yeah, the 409 00:20:57,760 --> 00:20:59,760 Speaker 6: media space is going to shape up. Are there kind 410 00:20:59,760 --> 00:21:04,200 Speaker 6: of any underestimated risks or surprises that perhaps investors aren't 411 00:21:04,240 --> 00:21:05,439 Speaker 6: necessarily paying attention to. 412 00:21:06,960 --> 00:21:07,200 Speaker 1: Yeah. 413 00:21:07,400 --> 00:21:09,960 Speaker 7: I think that one thing that we've noticed has been 414 00:21:10,000 --> 00:21:12,520 Speaker 7: sort of an acceleration of what we called the fast 415 00:21:12,600 --> 00:21:15,040 Speaker 7: the free ad supporter streamers. Think of the two B's 416 00:21:15,119 --> 00:21:18,359 Speaker 7: of the world that have increased their live sports content, 417 00:21:18,400 --> 00:21:20,480 Speaker 7: which is really great for grabbing subscribers. 418 00:21:21,320 --> 00:21:21,919 Speaker 4: They're free. 419 00:21:22,560 --> 00:21:24,800 Speaker 7: Everybody knows that they come with ads. I don't think 420 00:21:24,840 --> 00:21:27,560 Speaker 7: there's any confusion as to the subscription that they have 421 00:21:27,800 --> 00:21:30,240 Speaker 7: or what they're getting, And I think that probably resonates 422 00:21:30,240 --> 00:21:32,119 Speaker 7: with a lot of the younger consumers like gen Z, 423 00:21:32,359 --> 00:21:35,520 Speaker 7: where finances might be a little bit tighter and you 424 00:21:35,600 --> 00:21:38,080 Speaker 7: really can't have all these subscriptions. So with these free 425 00:21:38,080 --> 00:21:42,040 Speaker 7: ad supported players improving their content and their live sports, 426 00:21:42,119 --> 00:21:43,720 Speaker 7: I think that's something to look for as we go 427 00:21:43,760 --> 00:21:44,680 Speaker 7: into twenty twenty six. 428 00:21:45,000 --> 00:21:49,600 Speaker 2: They seem if Paramount doesn't get Warner Brothers. What do 429 00:21:49,680 --> 00:21:52,280 Speaker 2: they do then, because boy, they're left kind of holding 430 00:21:52,320 --> 00:21:52,880 Speaker 2: their back here. 431 00:21:54,200 --> 00:21:54,440 Speaker 3: Yeah. 432 00:21:54,480 --> 00:21:56,719 Speaker 7: I mean, like from all aspects of our data, they 433 00:21:56,720 --> 00:21:58,600 Speaker 7: are very far one of the smallest. They only have 434 00:21:58,680 --> 00:22:02,439 Speaker 7: four percent of advertising dollars in the US compared to 435 00:22:02,480 --> 00:22:06,199 Speaker 7: the other streamers four percent of active users. I think that, 436 00:22:08,000 --> 00:22:09,880 Speaker 7: you know, it's going to be very hard for them 437 00:22:09,960 --> 00:22:13,439 Speaker 7: because people have so many subscriptions already it's hard to 438 00:22:13,440 --> 00:22:16,640 Speaker 7: add another one. So unless they really bump up their 439 00:22:16,720 --> 00:22:19,440 Speaker 7: content and have you know, a show that's in the 440 00:22:19,520 --> 00:22:22,399 Speaker 7: zeitgeist like Stranger Things or White Lotus, it's going to 441 00:22:22,440 --> 00:22:24,880 Speaker 7: be very difficult for them to sort of move out 442 00:22:24,920 --> 00:22:28,280 Speaker 7: of their positioning regardless of whether or not the Netflix 443 00:22:28,600 --> 00:22:29,440 Speaker 7: deal goes through. 444 00:22:29,880 --> 00:22:32,119 Speaker 2: Sema, thanks so much for joining us. I appreciate chatting 445 00:22:32,119 --> 00:22:34,800 Speaker 2: with you, Sima Shaw. She's vice president Research and Insights 446 00:22:34,800 --> 00:22:36,160 Speaker 2: at Sensor Towers. 447 00:22:36,480 --> 00:22:37,120 Speaker 8: Stay with us. 448 00:22:37,240 --> 00:22:39,560 Speaker 3: More from Bloomberg Intelligence coming up after this. 449 00:22:43,520 --> 00:22:47,200 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch US Live 450 00:22:47,280 --> 00:22:50,360 Speaker 1: weekdays at ten am Eastern on Apple, Coarclay, and Android 451 00:22:50,400 --> 00:22:53,679 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 452 00:22:53,760 --> 00:22:56,480 Speaker 1: you get your podcasts, or watch US live on. 453 00:22:56,400 --> 00:23:00,360 Speaker 2: YouTube Christina Kuino sitting in for Scarlett Foo. I'm Paul 454 00:23:00,400 --> 00:23:03,680 Speaker 2: Sweeney live here in our Bloomberg Interactive Brokers studios. Let's stay, 455 00:23:04,200 --> 00:23:07,639 Speaker 2: let's focus on commercial real estate these days. I'm going 456 00:23:07,720 --> 00:23:11,399 Speaker 2: to call it better than stabilized. It feels like it's 457 00:23:11,480 --> 00:23:13,280 Speaker 2: kind of back and for a lot of sectors and 458 00:23:13,359 --> 00:23:15,800 Speaker 2: a lot of parts of the country here. Now we've 459 00:23:15,800 --> 00:23:18,680 Speaker 2: got interest rates coming down, should be another support being 460 00:23:18,760 --> 00:23:21,080 Speaker 2: for our commercial real estate. But Liz Hard, she's the 461 00:23:21,119 --> 00:23:24,800 Speaker 2: pro president of leasing for North America at Newmark based 462 00:23:24,840 --> 00:23:25,679 Speaker 2: in San Francisco. 463 00:23:25,760 --> 00:23:27,399 Speaker 3: I have no idea where she is now. I'm not 464 00:23:27,400 --> 00:23:28,200 Speaker 3: sure I want to know. 465 00:23:28,640 --> 00:23:32,359 Speaker 2: Liz characterized kind of you would right now, how's a 466 00:23:32,359 --> 00:23:34,520 Speaker 2: commercial real estate market in this country? 467 00:23:36,119 --> 00:23:38,159 Speaker 8: Well, I think you nailed it. Twenty twenty five was 468 00:23:38,160 --> 00:23:40,040 Speaker 8: really the pivot year. It was the year that we 469 00:23:40,040 --> 00:23:42,640 Speaker 8: started to have positive absorption across the country halfway through 470 00:23:42,680 --> 00:23:45,000 Speaker 8: the year, and we're heading into twenty twenty six on 471 00:23:45,080 --> 00:23:49,199 Speaker 8: quite the optimistic note. Trophy performing exceptionally well in New 472 00:23:49,280 --> 00:23:51,920 Speaker 8: York City where you guys are today, four point six 473 00:23:52,000 --> 00:23:55,240 Speaker 8: percent availability at the top of the market, demand double 474 00:23:55,280 --> 00:23:57,960 Speaker 8: that right now and with no supply expected until the 475 00:23:58,000 --> 00:23:59,080 Speaker 8: early twenty thirties. 476 00:24:00,080 --> 00:24:02,760 Speaker 6: Yeah, well, you know, the Trophy A space in Manhattan 477 00:24:02,920 --> 00:24:05,800 Speaker 6: especially very much thriving here, as you mentioned, Liz, do 478 00:24:05,840 --> 00:24:08,720 Speaker 6: you think that means that rent will continue to stay 479 00:24:08,720 --> 00:24:12,240 Speaker 6: elevated while even if overall they can see. 480 00:24:12,119 --> 00:24:13,760 Speaker 3: Is also still elevated. 481 00:24:14,600 --> 00:24:17,040 Speaker 8: Well, certainly in that part of the trophy market. We 482 00:24:17,040 --> 00:24:19,159 Speaker 8: would expect it to be elevated in New York City 483 00:24:19,440 --> 00:24:22,639 Speaker 8: and across the markets. But as you're kind of referencing, 484 00:24:23,000 --> 00:24:25,720 Speaker 8: rents aren't going to be going up across every single 485 00:24:25,760 --> 00:24:28,399 Speaker 8: sector at the Trophy definitely, and in the Class A 486 00:24:28,560 --> 00:24:31,160 Speaker 8: market where we see that we're doing, you know, one 487 00:24:31,280 --> 00:24:34,280 Speaker 8: third of the product inventory is doing half of the leasing. 488 00:24:34,560 --> 00:24:36,960 Speaker 8: We'd expect rents to increase there, but it's not going 489 00:24:36,960 --> 00:24:39,119 Speaker 8: to happen across every single part of the category. In 490 00:24:39,160 --> 00:24:40,720 Speaker 8: the lower end, we're still struggling. 491 00:24:41,640 --> 00:24:44,920 Speaker 3: How about retail here, how's that looking these days? 492 00:24:46,160 --> 00:24:48,920 Speaker 8: Retail's looking pretty strong again. It's a story of outperformance 493 00:24:48,920 --> 00:24:50,879 Speaker 8: at the top of the market. But what's looking like 494 00:24:50,880 --> 00:24:52,320 Speaker 8: it's going to be very interesting in the beginning of 495 00:24:52,359 --> 00:24:55,920 Speaker 8: the year, particularly for those New Year's resolutions. Wellness whileness 496 00:24:56,000 --> 00:24:58,240 Speaker 8: is really expected to be a standout in twenty twenty six. 497 00:24:59,440 --> 00:25:02,199 Speaker 6: Yeah, well, I'm definitely seeing a lot of what like 498 00:25:02,320 --> 00:25:06,200 Speaker 6: yoga studios, pilate studios, climbing James popping up in the neighborhood. 499 00:25:06,600 --> 00:25:10,240 Speaker 2: So very much about on the industrial side there, we've 500 00:25:10,320 --> 00:25:14,320 Speaker 2: got this reshoring near shuring, near shoring mandate. Is that 501 00:25:14,840 --> 00:25:16,439 Speaker 2: make industrial a good place to be? 502 00:25:17,720 --> 00:25:20,520 Speaker 8: It's showing up in the data. That's what's showing up well. 503 00:25:20,600 --> 00:25:23,280 Speaker 8: Is the new construction so certainly doing well. And then 504 00:25:23,320 --> 00:25:26,520 Speaker 8: also intermodial cities, So think of areas like Dallas and 505 00:25:26,560 --> 00:25:29,720 Speaker 8: Phoenix very close to Mexico. They're showing to be very 506 00:25:29,760 --> 00:25:32,160 Speaker 8: strong performers and expected to do so in twenty six 507 00:25:32,200 --> 00:25:32,679 Speaker 8: and beyond. 508 00:25:33,440 --> 00:25:36,200 Speaker 6: Yeah, what do you think is well moving to kind 509 00:25:36,200 --> 00:25:39,560 Speaker 6: of like the less optimistic part of commercial real estate? Liza, 510 00:25:39,880 --> 00:25:43,040 Speaker 6: do you think there are kind of sectors that will 511 00:25:43,040 --> 00:25:44,560 Speaker 6: be challenged heading into next year? 512 00:25:45,840 --> 00:25:47,600 Speaker 8: Well, I think when you look at the vacancy that's 513 00:25:47,600 --> 00:25:50,159 Speaker 8: been on the market for a long time, there's parts 514 00:25:50,160 --> 00:25:52,560 Speaker 8: that are just not really moving, particularly in retail. So 515 00:25:53,119 --> 00:25:55,800 Speaker 8: for space that's been on the market for greater than 516 00:25:56,119 --> 00:25:58,480 Speaker 8: you know, twenty four forty eight months, it's time to 517 00:25:58,560 --> 00:26:01,040 Speaker 8: reinvent and I think if your space has been on 518 00:26:01,080 --> 00:26:02,879 Speaker 8: the market for you know, a couple of years, you 519 00:26:02,920 --> 00:26:05,840 Speaker 8: really have to look at repositioning it and reconsidering it. 520 00:26:06,760 --> 00:26:09,159 Speaker 8: You know, if it's not moving, it's probably for a reason. 521 00:26:09,600 --> 00:26:12,800 Speaker 8: Demand is moving when there is space that matches it. 522 00:26:14,280 --> 00:26:16,680 Speaker 2: So tell us about San Francisco. I know you're based 523 00:26:16,680 --> 00:26:18,800 Speaker 2: in San Francisco. Give us kind of where we are 524 00:26:19,280 --> 00:26:22,720 Speaker 2: in San Francisco. No city city was in great, great, 525 00:26:22,720 --> 00:26:25,560 Speaker 2: great shape before the pandemic, and then maybe no major 526 00:26:25,640 --> 00:26:29,159 Speaker 2: uscit got hurt more during the pandemic than San Francisco. 527 00:26:29,640 --> 00:26:32,280 Speaker 2: But there's some real signs that it's been coming back. 528 00:26:32,359 --> 00:26:33,880 Speaker 2: Give us a kind of an overview. 529 00:26:34,880 --> 00:26:35,000 Speaker 7: Oh. 530 00:26:35,080 --> 00:26:38,359 Speaker 8: Absolutely, I mean the demand is back at pre pandemic levels, 531 00:26:38,680 --> 00:26:41,920 Speaker 8: mostly driven by the technology industry. The technology industry has 532 00:26:41,920 --> 00:26:45,280 Speaker 8: been an outperformer across the country, but certainly led by 533 00:26:45,280 --> 00:26:48,359 Speaker 8: the AI companies in San Francisco. You have Open Ai 534 00:26:48,480 --> 00:26:51,560 Speaker 8: Andthropic being two standouts there, but many others as well 535 00:26:51,760 --> 00:26:54,520 Speaker 8: who've leased well in excess of one hundred thousand square feet, 536 00:26:54,560 --> 00:26:56,960 Speaker 8: you know, several in excess of five hundred thousand square feet, 537 00:26:57,240 --> 00:27:01,239 Speaker 8: leading that demand curve rents increasing. So we'd expect San 538 00:27:01,280 --> 00:27:03,320 Speaker 8: francis going to be a strong performer than twenty six 539 00:27:03,320 --> 00:27:04,920 Speaker 8: and twenty seven as well. 540 00:27:05,080 --> 00:27:08,200 Speaker 6: Yeah, well you mentioned a pre pandemic situation, Liz, and 541 00:27:08,320 --> 00:27:10,879 Speaker 6: it's interesting because we'd still have about half of pre 542 00:27:10,960 --> 00:27:14,080 Speaker 6: pandemic office leases rolling. So do you think twenty twenty 543 00:27:14,080 --> 00:27:16,400 Speaker 6: six is going to be more about growth or are 544 00:27:16,400 --> 00:27:21,680 Speaker 6: we kind of hitting this right size sort of reality 545 00:27:21,800 --> 00:27:25,520 Speaker 6: now after we saw a few years of struggle in 546 00:27:25,520 --> 00:27:25,960 Speaker 6: that space. 547 00:27:27,119 --> 00:27:29,400 Speaker 8: Well, at the end of twenty five through twenty seven 548 00:27:29,480 --> 00:27:31,840 Speaker 8: is one about half of those pre pandemic leases are 549 00:27:32,000 --> 00:27:34,040 Speaker 8: set to expire. So we're tracking over a billion and 550 00:27:34,160 --> 00:27:36,880 Speaker 8: a half square a billion and a half square feet 551 00:27:36,880 --> 00:27:38,960 Speaker 8: of leases, and what we're seeing in the data is 552 00:27:38,960 --> 00:27:41,400 Speaker 8: that seventy two percent of those tenants are looking for 553 00:27:41,440 --> 00:27:44,280 Speaker 8: the same or greater amount of space. So what that 554 00:27:44,359 --> 00:27:47,000 Speaker 8: shows us is the contraction is mostly behind us, and 555 00:27:47,040 --> 00:27:49,840 Speaker 8: it looks like we're headed into a stabilization and growth cycle. 556 00:27:50,560 --> 00:27:52,800 Speaker 2: So how about just kind of out in Suburbia, Like 557 00:27:52,920 --> 00:27:57,359 Speaker 2: you drive around Suburbia, USA and any offs park, I 558 00:27:57,359 --> 00:27:59,679 Speaker 2: don't see a lot of cars. I'm talk to us 559 00:27:59,680 --> 00:28:02,280 Speaker 2: about that market because it just feels like that's got 560 00:28:02,320 --> 00:28:05,200 Speaker 2: a lot of vacancy there give us a suburban kind 561 00:28:05,200 --> 00:28:05,880 Speaker 2: of commercial. 562 00:28:06,840 --> 00:28:09,280 Speaker 8: Well, it's hard to say across every single market because 563 00:28:09,280 --> 00:28:12,439 Speaker 8: it does depend on which suburban market that you're talking about. 564 00:28:12,680 --> 00:28:15,639 Speaker 8: But certainly, you know the suburban markets outside of San Francisco, 565 00:28:15,680 --> 00:28:18,800 Speaker 8: the ones outside of Dallas there are some pretty strong performers. 566 00:28:18,880 --> 00:28:21,040 Speaker 8: So it depends on where that demand is and where 567 00:28:21,080 --> 00:28:23,159 Speaker 8: that job growth is, and if it's proximate to an 568 00:28:23,160 --> 00:28:25,359 Speaker 8: area that has it, then you know those those markets 569 00:28:25,400 --> 00:28:26,359 Speaker 8: are doing well as well. 570 00:28:27,000 --> 00:28:29,560 Speaker 6: Yeah, what's your up and cooming city for commercial in 571 00:28:29,600 --> 00:28:30,400 Speaker 6: twenty twenty six? 572 00:28:30,480 --> 00:28:33,160 Speaker 8: Liz, Well, I think the up and coming, even though 573 00:28:33,160 --> 00:28:35,040 Speaker 8: it's already there, is still going to be San Francisco 574 00:28:35,040 --> 00:28:37,120 Speaker 8: because that's set to be the outperformer in twenty six. 575 00:28:38,240 --> 00:28:41,280 Speaker 3: Is Dallas and Texas? Is that kind of peaked? Do 576 00:28:41,320 --> 00:28:41,640 Speaker 3: you think? 577 00:28:42,880 --> 00:28:44,760 Speaker 8: I don't think it's peaked yet. I think Dallas and 578 00:28:44,800 --> 00:28:46,880 Speaker 8: Houston still have quite a bit of way to go. 579 00:28:48,400 --> 00:28:51,080 Speaker 2: All right, Liz, thanks very much, appreciate it. Liz Hart, 580 00:28:51,080 --> 00:28:53,560 Speaker 2: President of Leasing for North America New Mark. 581 00:28:53,800 --> 00:28:58,480 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 582 00:28:58,680 --> 00:29:02,120 Speaker 1: and anywhere else you get your podcasts. 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