1 00:00:02,759 --> 00:00:10,600 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news. You're listening to the 2 00:00:10,640 --> 00:00:14,600 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 00:00:17,960 --> 00:00:21,080 Speaker 1: Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,400 --> 00:00:23,560 Speaker 1: or watch us live on YouTube. 6 00:00:24,160 --> 00:00:25,080 Speaker 2: All right, let's talk tech. 7 00:00:25,120 --> 00:00:26,640 Speaker 3: There's a lot going on out there. I want to see. 8 00:00:26,960 --> 00:00:29,360 Speaker 3: I'm doing this for John Tucker. He's a big TikTok 9 00:00:29,800 --> 00:00:32,000 Speaker 3: per person here, and he's really interested to see what's 10 00:00:32,040 --> 00:00:33,720 Speaker 3: going to be happening at this what's his handle with 11 00:00:34,040 --> 00:00:34,320 Speaker 3: what you. 12 00:00:34,400 --> 00:00:38,800 Speaker 4: Love those thirty second videos about really stupid stuff. 13 00:00:38,720 --> 00:00:41,639 Speaker 5: Thinks on rumbas, Right, kats. 14 00:00:41,640 --> 00:00:42,360 Speaker 2: Gotta have it. 15 00:00:43,000 --> 00:00:44,920 Speaker 3: That's why when we talk about cats and roomors, we 16 00:00:44,920 --> 00:00:48,599 Speaker 3: talk to our senior technology analyst at Bloomberg Intelligence, man 17 00:00:48,640 --> 00:00:51,320 Speaker 3: Deep sing On, Rona Mandeeps here in our studio on 18 00:00:51,400 --> 00:00:56,120 Speaker 3: a Rocks in our Chicago bureau. Let's just talk Mandeep, 19 00:00:56,240 --> 00:00:59,320 Speaker 3: just what's the latest on TikTok here? Because I'm seeing 20 00:00:59,360 --> 00:01:02,240 Speaker 3: some big private equity guys might be involved, some big 21 00:01:02,280 --> 00:01:04,640 Speaker 3: tech names may be involved. What's going on here with TikTok? 22 00:01:05,360 --> 00:01:09,520 Speaker 6: Yes, I think the White House is definitely keen to 23 00:01:09,560 --> 00:01:12,679 Speaker 6: get a deal done. And as you said, there are 24 00:01:12,760 --> 00:01:18,120 Speaker 6: multiple parties involved. Oracle is the publicly traded entity that's 25 00:01:19,040 --> 00:01:22,560 Speaker 6: front end center in terms of being the lead company 26 00:01:22,600 --> 00:01:27,600 Speaker 6: that will be owning TikTok along with these other private investors. 27 00:01:27,680 --> 00:01:29,720 Speaker 6: And look, at the end of the day, it's clear 28 00:01:29,959 --> 00:01:34,080 Speaker 6: the algorithm would be rewritten or they would be licensing it. 29 00:01:34,240 --> 00:01:35,440 Speaker 5: That is, that was a. 30 00:01:35,400 --> 00:01:40,679 Speaker 6: Sticking point all along. So Oracle already has the data 31 00:01:41,160 --> 00:01:44,520 Speaker 6: for TikTok in their data centers, so that part is 32 00:01:44,520 --> 00:01:47,120 Speaker 6: already sorted out, and it looks like there will be 33 00:01:47,200 --> 00:01:51,480 Speaker 6: a deal done. I mean, the more private investors are involved, 34 00:01:51,480 --> 00:01:55,040 Speaker 6: it kind of makes it hard who will determine the 35 00:01:55,440 --> 00:01:58,920 Speaker 6: stratity in this age of AI, given all these companies 36 00:01:58,920 --> 00:02:03,040 Speaker 6: are focused on and LLLM, so who would call the 37 00:02:03,080 --> 00:02:05,880 Speaker 6: shots in terms of what the future TikTok will look like. 38 00:02:06,000 --> 00:02:09,160 Speaker 6: But at least it will be owned by US entity 39 00:02:09,240 --> 00:02:11,600 Speaker 6: and private investors based in US. 40 00:02:11,520 --> 00:02:13,320 Speaker 5: And Oracle is going to play a key role, a 41 00:02:13,360 --> 00:02:17,680 Speaker 5: big role in operating everything, including retraining a copy of 42 00:02:17,680 --> 00:02:20,840 Speaker 5: the algorithm that the US based TikTok would lease from 43 00:02:20,919 --> 00:02:24,120 Speaker 5: Byteedance an rag. I mean, we knew that that was 44 00:02:24,200 --> 00:02:27,000 Speaker 5: kind of in the works from the get go. But 45 00:02:27,280 --> 00:02:32,600 Speaker 5: what's surprising me today is some CEO announcements from Oracle 46 00:02:32,720 --> 00:02:36,360 Speaker 5: Saffracats is being succeeded by two cocos. 47 00:02:36,680 --> 00:02:38,160 Speaker 4: Is this news a surprise. 48 00:02:39,080 --> 00:02:41,440 Speaker 7: Well, it's a surprise, yes, But at the same time, 49 00:02:41,480 --> 00:02:43,840 Speaker 7: I think Oracles in a very strong position right now. 50 00:02:44,120 --> 00:02:46,120 Speaker 2: You know, I would say, go back several years. 51 00:02:46,120 --> 00:02:49,880 Speaker 7: I think somewhere around twenty fourteen, Larry Ellison had appointed 52 00:02:50,200 --> 00:02:53,160 Speaker 7: Safa and Mark Hurd as the co CEOs, But I 53 00:02:53,160 --> 00:02:55,200 Speaker 7: think Safra has been there for a very long period 54 00:02:55,240 --> 00:02:58,120 Speaker 7: of time. Now they're basically saying they're going to move 55 00:02:58,160 --> 00:03:02,480 Speaker 7: on the leadership to much younger people. And one of 56 00:03:02,480 --> 00:03:06,200 Speaker 7: them actually is the leader who runs OCI or Oracle 57 00:03:06,200 --> 00:03:09,560 Speaker 7: cloud infrastructure, which is behind the TikTok deal, as well 58 00:03:09,600 --> 00:03:12,480 Speaker 7: as all the other AI deals that we're seeing right now. 59 00:03:14,720 --> 00:03:18,240 Speaker 3: Googles and facebooks of the world and the competitors to TikTok. 60 00:03:18,600 --> 00:03:20,720 Speaker 3: I mean, this is no foregone conclusion that this thing's 61 00:03:20,720 --> 00:03:22,560 Speaker 3: going to work, is it? Because I'm still I'm a 62 00:03:22,639 --> 00:03:25,560 Speaker 3: TikTok user. I still got to, I guess, get a 63 00:03:25,560 --> 00:03:27,679 Speaker 3: new map port all my stuff and do I mean 64 00:03:28,400 --> 00:03:29,880 Speaker 3: we're not sure this scene going to work. 65 00:03:29,720 --> 00:03:30,280 Speaker 6: Is it? 66 00:03:30,280 --> 00:03:30,680 Speaker 8: It is? 67 00:03:30,800 --> 00:03:35,360 Speaker 6: And also a lot of the creators have moved to 68 00:03:35,720 --> 00:03:40,080 Speaker 6: these alternative platforms given this unsanatory has been there for 69 00:03:40,240 --> 00:03:43,160 Speaker 6: you know, almost more than a year now. So who's 70 00:03:43,200 --> 00:03:48,840 Speaker 6: benefiting I mean your YouTube, Instagram to an extend Snapchat. 71 00:03:48,880 --> 00:03:53,320 Speaker 6: But to my mind, the whole focus has shifted from 72 00:03:53,480 --> 00:03:57,560 Speaker 6: you know, which who has the best recommendation algorithm to 73 00:03:58,040 --> 00:04:01,520 Speaker 6: who can have the best AI based on the data 74 00:04:01,640 --> 00:04:05,040 Speaker 6: they have? So look at you know. What open ai 75 00:04:05,120 --> 00:04:07,440 Speaker 6: has done is used all the open Internet data. What 76 00:04:07,520 --> 00:04:10,600 Speaker 6: Meta is trying to do with their superintelligence is use 77 00:04:10,640 --> 00:04:13,760 Speaker 6: their social network data to come up with a better 78 00:04:14,320 --> 00:04:18,039 Speaker 6: large anglid model. That's what Gemini is doing, and I 79 00:04:18,080 --> 00:04:21,520 Speaker 6: think that's where the smaller players have a disadvantage. Or Snapchat, 80 00:04:21,839 --> 00:04:24,440 Speaker 6: even though it may gain some engagement, it just doesn't 81 00:04:24,440 --> 00:04:27,279 Speaker 6: have the infrastructure to train their own large anglid model 82 00:04:27,320 --> 00:04:30,080 Speaker 6: based on the data they have. That's what you would 83 00:04:30,120 --> 00:04:33,800 Speaker 6: hope to see with a company like TikTok Us that 84 00:04:33,880 --> 00:04:37,760 Speaker 6: they focus on training their own large anglid model based 85 00:04:37,760 --> 00:04:40,719 Speaker 6: on the video data that they have. But I doubt 86 00:04:40,720 --> 00:04:43,920 Speaker 6: when you have got so many players involved, that's never 87 00:04:44,040 --> 00:04:46,200 Speaker 6: good for you know, a long term strategy where you 88 00:04:46,279 --> 00:04:48,960 Speaker 6: focus on building a product first and then monetizing. It 89 00:04:48,960 --> 00:04:51,919 Speaker 6: would be more about making the company profitable and making 90 00:04:51,960 --> 00:04:55,640 Speaker 6: sure they have a return on investment for what they're doing. 91 00:04:55,720 --> 00:04:57,960 Speaker 5: I mean, this is going to be a complicated transaction 92 00:04:58,160 --> 00:05:01,160 Speaker 5: because the law mandates this stick to sale to US owners, 93 00:05:01,440 --> 00:05:05,279 Speaker 5: but it forbids byttance from any operational role, including with software. Meantime, 94 00:05:05,400 --> 00:05:08,760 Speaker 5: China's law X bars the export of sensitive technology like 95 00:05:08,960 --> 00:05:12,200 Speaker 5: the algorithms. So I guess, anach My question to you 96 00:05:12,360 --> 00:05:15,800 Speaker 5: is is it not only technically feasible to fully disentangle 97 00:05:15,920 --> 00:05:21,280 Speaker 5: TikTok from bytans, but will US lawmakers accept whatever convoluted 98 00:05:21,360 --> 00:05:22,320 Speaker 5: plan has come up here? 99 00:05:23,480 --> 00:05:24,960 Speaker 2: You know, I think that has been very clear. 100 00:05:25,000 --> 00:05:26,920 Speaker 7: I mean, I imagine if you go back, you know, 101 00:05:26,960 --> 00:05:29,200 Speaker 7: back in January, we're supposed to be shut down, but 102 00:05:29,320 --> 00:05:30,520 Speaker 7: people have been operating it. 103 00:05:30,760 --> 00:05:32,000 Speaker 2: Oracle has been hosting it. 104 00:05:32,080 --> 00:05:34,359 Speaker 7: So I think Oracle is going to go out and 105 00:05:34,400 --> 00:05:37,279 Speaker 7: say we have control over the data, we have control 106 00:05:37,320 --> 00:05:38,240 Speaker 7: over the algorithm. 107 00:05:38,400 --> 00:05:41,040 Speaker 2: And I think that may let's let's hope that. 108 00:05:41,040 --> 00:05:44,880 Speaker 7: Will pacify all the regulators and the uh, you know, 109 00:05:44,920 --> 00:05:46,119 Speaker 7: the Congress out there. 110 00:05:46,440 --> 00:05:50,480 Speaker 3: So many. Do we know who the CEO USA is 111 00:05:50,520 --> 00:05:51,960 Speaker 3: going to be, who the CFO is going to be, 112 00:05:52,120 --> 00:05:52,640 Speaker 3: what the board? 113 00:05:52,720 --> 00:05:53,440 Speaker 5: Oh good question. 114 00:05:53,520 --> 00:05:54,400 Speaker 3: I mean we don't know any of that. 115 00:05:54,640 --> 00:05:57,760 Speaker 6: No, no, I mean the transaction isn't even finalized. We're 116 00:05:57,800 --> 00:06:01,599 Speaker 6: still hearing rumors about who the private investors are going 117 00:06:01,680 --> 00:06:04,760 Speaker 6: to be, and that list seems to be growing, you know, 118 00:06:04,839 --> 00:06:07,360 Speaker 6: beyond the private equity guys. Now it's a Rupert Murdoch. 119 00:06:07,440 --> 00:06:11,480 Speaker 6: And you know, it was interesting to hear their names. Okay, 120 00:06:11,520 --> 00:06:15,440 Speaker 6: but look, I mean it will be somebody seasoned. My 121 00:06:15,800 --> 00:06:19,160 Speaker 6: only hunt here is they may be too focused on 122 00:06:19,200 --> 00:06:23,479 Speaker 6: you know, the algorithm where the bigger opportunity lies in 123 00:06:23,520 --> 00:06:26,080 Speaker 6: the LM. And you know how a video LLLM could 124 00:06:26,160 --> 00:06:28,200 Speaker 6: be gamescha AI everything. 125 00:06:28,320 --> 00:06:29,880 Speaker 5: Well, you know we always have to bring everything back 126 00:06:29,920 --> 00:06:30,240 Speaker 5: to AI. 127 00:06:30,360 --> 00:06:32,760 Speaker 3: Yeah, he knows what get they clicks, he knows what's 128 00:06:32,760 --> 00:06:35,480 Speaker 3: going on. We trained them. Well, all right, just on 129 00:06:36,000 --> 00:06:38,080 Speaker 3: what's the thirty second stuff. What's the big thing you're 130 00:06:38,120 --> 00:06:39,320 Speaker 3: looking at this week? 131 00:06:40,200 --> 00:06:42,000 Speaker 7: This week it's going to be Apple and how the 132 00:06:42,560 --> 00:06:44,279 Speaker 7: pro is going to be doing in the market. 133 00:06:45,240 --> 00:06:45,880 Speaker 1: Stay with us. 134 00:06:46,040 --> 00:06:47,599 Speaker 3: More from Bloomberg Intelligence coming. 135 00:06:47,520 --> 00:06:48,320 Speaker 4: Up after this. 136 00:06:52,000 --> 00:06:55,680 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 137 00:06:55,760 --> 00:06:58,839 Speaker 1: weekdays at ten am Eastern on Apple, Coarplay and Android 138 00:06:58,880 --> 00:07:02,160 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 139 00:07:02,240 --> 00:07:05,360 Speaker 1: you get your podcasts, or watch us live on YouTube. 140 00:07:06,200 --> 00:07:08,800 Speaker 3: I swear this whole healthcare discussion used to be more 141 00:07:09,279 --> 00:07:10,480 Speaker 3: than just obesity drugs. 142 00:07:10,720 --> 00:07:12,360 Speaker 5: I know, but it feels like that's the most exciting 143 00:07:12,400 --> 00:07:14,440 Speaker 5: part of the healthcare world, the pharmer world. 144 00:07:14,560 --> 00:07:17,880 Speaker 3: Yes, I don't know. I mean Sampa's Ellie Joints is here. 145 00:07:17,880 --> 00:07:20,240 Speaker 3: He's a director of research for Global Industries. He's also 146 00:07:20,320 --> 00:07:23,040 Speaker 3: like the best healthcare guy over there in Europe, is 147 00:07:23,080 --> 00:07:25,600 Speaker 3: based in London, one of the leaders there, and we 148 00:07:25,640 --> 00:07:26,600 Speaker 3: talked to him all the time. 149 00:07:27,000 --> 00:07:27,280 Speaker 2: Sam. 150 00:07:27,360 --> 00:07:31,280 Speaker 3: It looks like again Pfizer here spending four point nine 151 00:07:31,320 --> 00:07:34,480 Speaker 3: billion dollars for this obesity startups. Met Sarah, what can 152 00:07:34,520 --> 00:07:36,679 Speaker 3: you tell us about? Met Sarah? 153 00:07:37,200 --> 00:07:38,760 Speaker 8: Yeah, well how are you doing so? 154 00:07:39,200 --> 00:07:39,840 Speaker 2: And Scarlett? 155 00:07:40,280 --> 00:07:44,800 Speaker 8: Nice to have you both again taking about this topic. 156 00:07:45,080 --> 00:07:48,679 Speaker 8: Thank you, topic of obesity. So look, just to answer 157 00:07:48,760 --> 00:07:53,480 Speaker 8: your your opening point, obesity is one of the key 158 00:07:53,480 --> 00:07:59,239 Speaker 8: causes of a whole variety of diseases cardiovascular, cancer, mental health. 159 00:07:59,560 --> 00:08:01,920 Speaker 8: So we can treat it if we can prevent it, 160 00:08:01,960 --> 00:08:06,360 Speaker 8: if we can reduce it, it's brilliant for the entirety of society. 161 00:08:06,720 --> 00:08:09,160 Speaker 8: Here there is a deal where I thinks they've got 162 00:08:09,160 --> 00:08:12,000 Speaker 8: something that's going to be able to give them a 163 00:08:12,120 --> 00:08:15,360 Speaker 8: chance at playing in this very important area and very 164 00:08:15,400 --> 00:08:19,360 Speaker 8: massive market. Right. So the drugs are interesting, they're relatively 165 00:08:19,400 --> 00:08:23,119 Speaker 8: early stage. We're looking to see with some new data 166 00:08:23,120 --> 00:08:25,600 Speaker 8: coming up, whether some of the promise that we've seen 167 00:08:25,680 --> 00:08:28,560 Speaker 8: earlier for these drugs that the company has, which the 168 00:08:28,680 --> 00:08:30,800 Speaker 8: latest stage one is still in phase two. They need 169 00:08:30,800 --> 00:08:34,319 Speaker 8: to start the phase three in twenty twenty six, whether 170 00:08:34,400 --> 00:08:37,520 Speaker 8: they are as competitive as they looked in the earlier trials. 171 00:08:37,760 --> 00:08:41,200 Speaker 8: There were some questions on efficacy less so than side 172 00:08:41,200 --> 00:08:43,439 Speaker 8: effect profile, So we'll have to wait and see how 173 00:08:43,440 --> 00:08:44,200 Speaker 8: that pans out. 174 00:08:44,360 --> 00:08:46,560 Speaker 5: Sam, can you get into the science a little bit 175 00:08:46,600 --> 00:08:48,960 Speaker 5: and maybe you know, keep it basic for folks like 176 00:08:49,000 --> 00:08:52,240 Speaker 5: Paul and me, Because Metzara is described as the next 177 00:08:52,240 --> 00:08:55,600 Speaker 5: generation hopeful in obesities. They use these long acting amlin 178 00:08:55,800 --> 00:08:59,200 Speaker 5: analogs versus GLP one, and I'm wondering for people who 179 00:08:59,440 --> 00:09:03,840 Speaker 5: might behold out for matsera's treatment what that means versus 180 00:09:03,960 --> 00:09:06,800 Speaker 5: the currently available zep bound or we goo v. 181 00:09:08,080 --> 00:09:08,280 Speaker 2: Yeah. 182 00:09:08,360 --> 00:09:11,200 Speaker 8: Yeah, So the latest stage drug is very similar to 183 00:09:11,240 --> 00:09:17,480 Speaker 8: we go vy and similar to zepetite or zip bound, 184 00:09:17,960 --> 00:09:20,720 Speaker 8: and the anlin drug is a little bit early stage. 185 00:09:20,760 --> 00:09:25,360 Speaker 8: Earlier stage, there are companies were more advanced drugs in 186 00:09:25,400 --> 00:09:28,200 Speaker 8: that world, but they all kind of feed into the 187 00:09:28,240 --> 00:09:32,400 Speaker 8: same pathway, which is the pathway that talks between your 188 00:09:32,640 --> 00:09:36,719 Speaker 8: food intake and your satiety centers in your brain and 189 00:09:36,760 --> 00:09:41,080 Speaker 8: your insulin centers in your pancreas it tries to balance 190 00:09:41,559 --> 00:09:45,240 Speaker 8: of eaten enough, let's stop eating now, and let's release 191 00:09:45,280 --> 00:09:47,920 Speaker 8: some insulin make it more sensitive so that we can 192 00:09:48,000 --> 00:09:50,720 Speaker 8: deal with the onslaughter sugar that comes into our blood. 193 00:09:50,880 --> 00:09:53,199 Speaker 8: That's where they are is that's central to that space. 194 00:09:53,520 --> 00:09:57,719 Speaker 8: There's cells in the gut that release look on like 195 00:09:58,080 --> 00:10:02,000 Speaker 8: GLP ones, gk on like peptize the cells in other 196 00:10:02,040 --> 00:10:04,440 Speaker 8: parts of the body who are responding to it. So 197 00:10:04,480 --> 00:10:06,800 Speaker 8: that's where these things sit, and amulin is just one 198 00:10:06,840 --> 00:10:08,600 Speaker 8: of those agents in the middle of it. 199 00:10:09,160 --> 00:10:11,080 Speaker 3: SA I'm just kind of stepping back on his GLP 200 00:10:11,160 --> 00:10:14,640 Speaker 3: one drugs in general, there's a certain level of efficacy today, 201 00:10:14,800 --> 00:10:17,920 Speaker 3: there's a certain level of say, side effect, whether it's 202 00:10:17,920 --> 00:10:20,679 Speaker 3: a large or something else today. Is there a room 203 00:10:20,720 --> 00:10:24,120 Speaker 3: for improvement on both efficacy and side effects going forward 204 00:10:24,120 --> 00:10:24,960 Speaker 3: with these drugs? 205 00:10:25,840 --> 00:10:29,240 Speaker 8: Yeah, I mean with it's the balance that's the most importantacy. 206 00:10:29,280 --> 00:10:30,760 Speaker 8: I think we're pretty much there. I mean, you know, 207 00:10:30,840 --> 00:10:32,520 Speaker 8: there are folks that we know that go on a 208 00:10:32,600 --> 00:10:35,160 Speaker 8: drug for a week or two and they lose four 209 00:10:35,240 --> 00:10:37,760 Speaker 8: or five kilograms. That's fine. You don't want to lose 210 00:10:37,840 --> 00:10:40,719 Speaker 8: much faster than that, because I don't think it's particularly 211 00:10:40,760 --> 00:10:44,360 Speaker 8: healthy if you lose weight at a much higher speed. 212 00:10:44,520 --> 00:10:47,040 Speaker 8: And also you don't want to get much lighter than 213 00:10:47,080 --> 00:10:50,520 Speaker 8: a aty kilo or ninety kilo or seventy five kilograms, 214 00:10:50,520 --> 00:10:52,480 Speaker 8: depending on your size. So the key is how do 215 00:10:52,520 --> 00:10:55,640 Speaker 8: you get there? If you get there by having lots 216 00:10:55,640 --> 00:10:57,679 Speaker 8: of side effects in your probability of staying on the 217 00:10:57,760 --> 00:10:59,640 Speaker 8: drug is lower, but we want you to stay on 218 00:10:59,640 --> 00:11:02,600 Speaker 8: the drug. So it's a very very tight balance. And 219 00:11:02,640 --> 00:11:04,600 Speaker 8: then of course you have to figure out what am 220 00:11:04,600 --> 00:11:07,280 Speaker 8: I happy taking a weekly injection, which I think a 221 00:11:07,320 --> 00:11:09,480 Speaker 8: lot of people are not. Don't have a problem with it, 222 00:11:09,720 --> 00:11:12,800 Speaker 8: But what if Mitzra's writing can push it to once monthly. 223 00:11:12,920 --> 00:11:15,200 Speaker 8: What if some of the other competitors coming along with 224 00:11:15,480 --> 00:11:18,319 Speaker 8: once every three months now. Those are things that we 225 00:11:18,400 --> 00:11:20,240 Speaker 8: have to wait and see how the data shows in 226 00:11:20,320 --> 00:11:23,080 Speaker 8: terms of that balance. Have just referred to Sam. 227 00:11:23,120 --> 00:11:25,360 Speaker 5: We mentioned earlier the headline that the White House now 228 00:11:25,400 --> 00:11:28,160 Speaker 5: says doctors may be exempt from H one B visa 229 00:11:28,200 --> 00:11:30,400 Speaker 5: fees that were just an ounce of one hundred thousand dollars. 230 00:11:30,600 --> 00:11:34,839 Speaker 5: Obviously that has huge ramifications for the medical industry. What 231 00:11:34,880 --> 00:11:37,640 Speaker 5: does it mean potentially the one hundred thousand dollars fee 232 00:11:37,679 --> 00:11:39,680 Speaker 5: for H one B visas for the pharma and the 233 00:11:39,679 --> 00:11:41,439 Speaker 5: biotech industry in the US. 234 00:11:42,520 --> 00:11:48,680 Speaker 8: Yeah, I think any industry that requires skilled workers. I 235 00:11:48,720 --> 00:11:51,520 Speaker 8: think the sector, the sector that's most exposed is one 236 00:11:51,559 --> 00:11:54,800 Speaker 8: that you guys probably have already talked about, is the 237 00:11:54,840 --> 00:11:58,680 Speaker 8: tech industry. Right in terms of pharma biotech. I think 238 00:11:58,679 --> 00:12:04,280 Speaker 8: the US has really good existing talent. The point is, though, 239 00:12:04,480 --> 00:12:07,679 Speaker 8: that sometimes a particular talent is based somewhere else. You 240 00:12:07,760 --> 00:12:10,680 Speaker 8: just want that particular person. So why do you have 241 00:12:10,760 --> 00:12:13,600 Speaker 8: to go through this process if they really are the 242 00:12:13,640 --> 00:12:17,280 Speaker 8: one person who knows this particular disease area so well, 243 00:12:17,559 --> 00:12:19,920 Speaker 8: and does really one or two people at that level 244 00:12:20,000 --> 00:12:23,599 Speaker 8: make a difference, Especially in a sector where US is 245 00:12:23,640 --> 00:12:26,200 Speaker 8: already a leader, You're not really bringing in people to 246 00:12:26,240 --> 00:12:28,839 Speaker 8: compete with the US talent. So that's something that I 247 00:12:28,880 --> 00:12:31,880 Speaker 8: think is important to remember. Doctors, of course, you know 248 00:12:32,000 --> 00:12:35,200 Speaker 8: the country that doesn't like Europe, many countries in Europe 249 00:12:35,280 --> 00:12:38,960 Speaker 8: on producing enough doctors. UK especially, you need to allow. 250 00:12:38,760 --> 00:12:40,320 Speaker 4: That stay with us. 251 00:12:40,480 --> 00:12:42,800 Speaker 3: More from Bloomberg Intelligence coming up after this. 252 00:12:46,280 --> 00:12:50,000 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 253 00:12:50,080 --> 00:12:53,160 Speaker 1: weekdays at ten am Eastern on Apple, Coarclay, and Android 254 00:12:53,160 --> 00:12:56,480 Speaker 1: Auto with the Bloomberg Business app. Listen on demand wherever 255 00:12:56,559 --> 00:13:00,160 Speaker 1: you get your podcasts, or watch us live on YouTube. 256 00:13:00,640 --> 00:13:02,720 Speaker 5: Let's go down to Mark German. He's our go to 257 00:13:03,320 --> 00:13:05,959 Speaker 5: tech gadget guy for more on Aura because we're just 258 00:13:06,000 --> 00:13:09,439 Speaker 5: talking about how Aura's the company that owns Aura that 259 00:13:10,000 --> 00:13:13,640 Speaker 5: how Wellness Ring is now an eleven billion dollar company 260 00:13:13,640 --> 00:13:17,600 Speaker 5: with its latest capital raise. Mark, this is a finish 261 00:13:17,720 --> 00:13:20,320 Speaker 5: company and it needed to raise more money, didn't it. 262 00:13:21,760 --> 00:13:24,400 Speaker 9: Definitely they want to scale production, they want to scale 263 00:13:24,559 --> 00:13:28,319 Speaker 9: r Indeed, they want to move into new regions, they 264 00:13:28,320 --> 00:13:30,439 Speaker 9: want to get into new retail stores, they want to 265 00:13:30,440 --> 00:13:33,720 Speaker 9: add new software features. So they're looking to grow quickly. 266 00:13:34,200 --> 00:13:37,640 Speaker 9: This nearly eleven billion dollar valuation. This is a you know, 267 00:13:37,720 --> 00:13:41,000 Speaker 9: a pretty specific hardware company. They really make one thing, 268 00:13:41,840 --> 00:13:44,560 Speaker 9: and if you look at their market cap now after 269 00:13:44,640 --> 00:13:48,160 Speaker 9: that raise, you compare it to other companies that are 270 00:13:48,160 --> 00:13:52,800 Speaker 9: known for really one type of hardware product Peloton, Eye, Robot, 271 00:13:53,600 --> 00:13:57,800 Speaker 9: Sonos bos Aura is now worth more than all of 272 00:13:57,800 --> 00:14:02,000 Speaker 9: them combined, which is pretty crazy to think about. So 273 00:14:02,000 --> 00:14:04,680 Speaker 9: so far, this looks to be a success story. It's 274 00:14:04,679 --> 00:14:07,520 Speaker 9: not a very old company, but it's a company doing 275 00:14:07,520 --> 00:14:10,920 Speaker 9: effective things and they're clearly building a product that people like. 276 00:14:11,040 --> 00:14:14,720 Speaker 9: They've sold three million units in the last fourteen fifteen 277 00:14:14,720 --> 00:14:17,280 Speaker 9: months or so. They've sold five and a half million 278 00:14:17,720 --> 00:14:21,360 Speaker 9: rings to date. They're due to cross one billion in 279 00:14:21,440 --> 00:14:24,160 Speaker 9: revenue in twenty five, a billion and a half in 280 00:14:24,200 --> 00:14:28,200 Speaker 9: twenty six. They did five hundred million in twenty four 281 00:14:29,040 --> 00:14:30,840 Speaker 9: so they seem to be growing quite nicely. 282 00:14:31,480 --> 00:14:34,040 Speaker 3: I don't know, not being into the ring fit ring 283 00:14:34,120 --> 00:14:34,960 Speaker 3: business myself. 284 00:14:35,520 --> 00:14:36,920 Speaker 5: Fitring, I like that fit ring. 285 00:14:37,080 --> 00:14:37,640 Speaker 8: I mean, this. 286 00:14:37,680 --> 00:14:39,880 Speaker 3: Seems like something that your friends in Cooper Tina could 287 00:14:39,920 --> 00:14:42,880 Speaker 3: come out with tomorrow and copycat. How do you think 288 00:14:42,880 --> 00:14:44,720 Speaker 3: about the competitive landscape. 289 00:14:45,000 --> 00:14:47,560 Speaker 9: Yeah, the competitive landscape is interesting. There's a few smaller 290 00:14:47,560 --> 00:14:50,920 Speaker 9: players that are also doing smart rings. Samsung rolled out 291 00:14:51,280 --> 00:14:54,600 Speaker 9: what they call the Galaxy Ring last year, and for Samsung, 292 00:14:54,600 --> 00:14:57,640 Speaker 9: who's actually been a dud, the functionality is just not 293 00:14:57,760 --> 00:15:01,360 Speaker 9: on par with Aura. What Aura as is a very 294 00:15:01,400 --> 00:15:05,720 Speaker 9: strong brand, They have very strong functionality, and they have 295 00:15:05,840 --> 00:15:09,680 Speaker 9: that big first mover advantage. But you're right, if Apple 296 00:15:09,800 --> 00:15:13,040 Speaker 9: comes out with the ring, They're gonna eat Aura's lunch. 297 00:15:13,600 --> 00:15:17,000 Speaker 9: You know. Aura's perspective is that they have this gigantic 298 00:15:17,320 --> 00:15:23,720 Speaker 9: and tried and true in legal proceedings patent portfolio, and 299 00:15:23,800 --> 00:15:26,040 Speaker 9: so they feel that if Apple were to come out 300 00:15:26,080 --> 00:15:29,160 Speaker 9: with a ring, or another company were to really hit 301 00:15:29,160 --> 00:15:31,080 Speaker 9: the nail on the head with a ring, that they 302 00:15:31,120 --> 00:15:34,840 Speaker 9: would be able to defend their patents. And they've shown 303 00:15:34,880 --> 00:15:37,120 Speaker 9: to be able to do that. They have some cases 304 00:15:37,120 --> 00:15:41,359 Speaker 9: in front of the International Trade Commission and other organizations 305 00:15:41,440 --> 00:15:43,960 Speaker 9: right now for some of the other competitors. So we'll 306 00:15:43,960 --> 00:15:46,920 Speaker 9: see what happens. I don't anticipate Apple coming out with 307 00:15:46,960 --> 00:15:51,120 Speaker 9: a ring anytime soon. I will say that this ten 308 00:15:51,160 --> 00:15:53,080 Speaker 9: billion dollar valuation is a little bit of a double 309 00:15:53,200 --> 00:15:56,680 Speaker 9: edged sword. On one hand, that's amazing for the company. 310 00:15:57,120 --> 00:15:59,120 Speaker 9: On the other hand, it puts them in territory where 311 00:15:59,160 --> 00:16:01,360 Speaker 9: they're probably not going to be acquired or bought in, 312 00:16:01,400 --> 00:16:04,480 Speaker 9: which would spur another company like Apple if they wanted 313 00:16:04,440 --> 00:16:08,760 Speaker 9: to ring develop one versus by them. And definitely they're 314 00:16:08,760 --> 00:16:10,280 Speaker 9: going to have to make a decision in the next 315 00:16:10,280 --> 00:16:12,960 Speaker 9: couple of years whether they're going to go public via 316 00:16:13,000 --> 00:16:16,040 Speaker 9: an IPO spat or if they're going to stay private. 317 00:16:16,440 --> 00:16:17,080 Speaker 2: Stay with us. 318 00:16:17,200 --> 00:16:19,600 Speaker 3: More from Bloomberg Intelligence coming up after this. 319 00:16:23,480 --> 00:16:27,160 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 320 00:16:27,240 --> 00:16:30,360 Speaker 1: weekdays at ten am easterne on Apple, Cocklay and Android 321 00:16:30,360 --> 00:16:33,680 Speaker 1: Auto with the Bloomberg Business App. Listen on demand wherever 322 00:16:33,720 --> 00:16:36,800 Speaker 1: you get your podcasts, or watch us live on YouTube. 323 00:16:37,720 --> 00:16:39,240 Speaker 5: Let's go back to a story that we were talking 324 00:16:39,240 --> 00:16:42,800 Speaker 5: about earlier, which is the CEO change over at T Mobile. 325 00:16:42,840 --> 00:16:45,240 Speaker 5: We just spoke earlier with the outgoing CEO and the 326 00:16:45,280 --> 00:16:49,160 Speaker 5: incoming CEO with our Bloomberg Television colleagues Caroline Hyde and 327 00:16:49,360 --> 00:16:51,440 Speaker 5: Ed Ludlow, and so now we want to bring in 328 00:16:51,480 --> 00:16:55,560 Speaker 5: our Bloomberg Intelligence expert, John Butler, the senior telecom analyst 329 00:16:55,800 --> 00:16:58,640 Speaker 5: for more on this side. John, was this a surprise? 330 00:16:58,720 --> 00:17:04,480 Speaker 4: This changeover all? This was incredibly well broadcast. Shriney has 331 00:17:04,600 --> 00:17:07,760 Speaker 4: been hitting the conference circuit, so at this time of year, 332 00:17:07,840 --> 00:17:11,800 Speaker 4: all the major investment banks hold these conferences, and he's 333 00:17:11,840 --> 00:17:15,240 Speaker 4: been in almost everyone sort of out there telling the 334 00:17:15,320 --> 00:17:19,120 Speaker 4: T Mobiles story. And in my mind it answers one 335 00:17:19,119 --> 00:17:22,439 Speaker 4: of two questions. Right with any incoming CEO, You're like, 336 00:17:23,200 --> 00:17:26,760 Speaker 4: can they manage the company effectively? And can they manage 337 00:17:26,840 --> 00:17:30,720 Speaker 4: the stock effectively? Can they get that narrative out? It's 338 00:17:30,760 --> 00:17:33,800 Speaker 4: been a good story and he is really good at that. 339 00:17:34,040 --> 00:17:37,719 Speaker 4: So he's answered the second question and I think in 340 00:17:37,760 --> 00:17:41,320 Speaker 4: some ways he's answered the first as well. 341 00:17:41,400 --> 00:17:44,200 Speaker 3: Talk to us about the wireless business these days. It's 342 00:17:44,280 --> 00:17:46,840 Speaker 3: just a brutally competitive business. Just give us the lay 343 00:17:46,880 --> 00:17:50,240 Speaker 3: of the land there between AT and T, Verizon, T Mobile, 344 00:17:50,240 --> 00:17:51,800 Speaker 3: and anybody else who might be out there. 345 00:17:51,800 --> 00:17:54,240 Speaker 4: I mean, the big three are still dominant. Paul and 346 00:17:54,359 --> 00:17:58,439 Speaker 4: T Mobile has executed beautifully over the past few years. 347 00:17:58,560 --> 00:18:01,720 Speaker 4: You know, they've done a very good of sort of 348 00:18:01,800 --> 00:18:06,320 Speaker 4: securing the lead in terms of subscriber growth by you know, 349 00:18:07,400 --> 00:18:12,800 Speaker 4: marketing on this hip counterculture brand image. They continue to be, 350 00:18:14,680 --> 00:18:18,320 Speaker 4: I think, having an outsized impact on consumers. When you 351 00:18:18,359 --> 00:18:21,720 Speaker 4: think a wireless it really is a consumer retail business. 352 00:18:21,760 --> 00:18:25,399 Speaker 4: They all have thousands of stores, they advertise on the 353 00:18:25,440 --> 00:18:28,479 Speaker 4: Super Bowl, they have giveaways, and I think T Mobile 354 00:18:28,560 --> 00:18:31,720 Speaker 4: more than most really does that well. And I think 355 00:18:31,760 --> 00:18:35,320 Speaker 4: the Big three, because of their scale set, it sort 356 00:18:35,359 --> 00:18:38,960 Speaker 4: of sets this sort of wide mode for any newcomers 357 00:18:38,960 --> 00:18:42,280 Speaker 4: that want to come in. So Mobile as number two 358 00:18:42,280 --> 00:18:45,080 Speaker 4: in the industry, I think is going to remain firmly 359 00:18:45,119 --> 00:18:48,120 Speaker 4: in that place, if not move into the number one 360 00:18:48,200 --> 00:18:51,920 Speaker 4: position over the next several years. Number one Zon Number 361 00:18:51,920 --> 00:18:55,080 Speaker 4: one is Verizon still, so I'm a Verizon person. 362 00:18:55,200 --> 00:18:57,960 Speaker 5: I am too, But I just went to Italy and 363 00:18:58,160 --> 00:18:59,880 Speaker 5: how did what did you do for your phone needs? 364 00:19:00,160 --> 00:19:02,800 Speaker 3: Fine, it's just I have a plan that just ports 365 00:19:02,800 --> 00:19:04,280 Speaker 3: over to an international. 366 00:19:03,920 --> 00:19:06,520 Speaker 5: Okay, because as do uh huh. 367 00:19:05,960 --> 00:19:07,439 Speaker 3: All of my offspring that's the only thing that I 368 00:19:07,480 --> 00:19:08,080 Speaker 3: still pay for. 369 00:19:10,240 --> 00:19:13,119 Speaker 5: Yes, no one, no one wants to give that up. 370 00:19:13,119 --> 00:19:15,280 Speaker 5: Why pay for your own clone service when dad will 371 00:19:15,280 --> 00:19:17,760 Speaker 5: pay for it. I switched over to T Mobile because 372 00:19:17,760 --> 00:19:21,359 Speaker 5: of the giveaways, yes, because of the free iPhone last cycle, 373 00:19:21,680 --> 00:19:24,760 Speaker 5: and also because you get free data and free international 374 00:19:24,800 --> 00:19:27,720 Speaker 5: texting when you're overseas up to five gigabytes, so that 375 00:19:27,760 --> 00:19:30,199 Speaker 5: means I never have to buy an international data pison shopping. 376 00:19:30,280 --> 00:19:33,320 Speaker 4: That is the single biggest hook I hear. So when 377 00:19:33,359 --> 00:19:34,920 Speaker 4: people come to me and they're like, I'm a T 378 00:19:35,119 --> 00:19:38,359 Speaker 4: mobile subscriber. They have all these giveaways and they have 379 00:19:38,560 --> 00:19:39,720 Speaker 4: international call. 380 00:19:40,400 --> 00:19:41,960 Speaker 5: That makes a big difference because when I was on 381 00:19:42,040 --> 00:19:43,760 Speaker 5: AT and T, I was paying ten dollars a day 382 00:19:43,760 --> 00:19:44,520 Speaker 5: and that adds. 383 00:19:44,280 --> 00:19:46,240 Speaker 4: Up really quickly, does it really? 384 00:19:46,280 --> 00:19:46,439 Speaker 8: You know? 385 00:19:46,520 --> 00:19:48,199 Speaker 5: And then only one person in the family can get 386 00:19:48,240 --> 00:19:49,560 Speaker 5: it because you know, not everyone's going to. 387 00:19:49,560 --> 00:19:51,800 Speaker 3: Get it right, and they have four offspring plus an 388 00:19:51,800 --> 00:19:52,879 Speaker 3: next wife, you're still paying for it. 389 00:19:52,960 --> 00:19:53,560 Speaker 4: Well, there you go. 390 00:19:55,160 --> 00:19:56,960 Speaker 3: Charlie Pellett is on the t MO, but he he 391 00:19:57,320 --> 00:19:58,240 Speaker 3: always tries to sell me. 392 00:19:58,240 --> 00:20:00,480 Speaker 5: To Charlie also knows the great deal. Well that's the 393 00:20:00,520 --> 00:20:01,400 Speaker 5: secret here at Bloomberg. 394 00:20:01,520 --> 00:20:03,720 Speaker 3: Charlie's traveling the strange parts of the world where he 395 00:20:03,760 --> 00:20:06,240 Speaker 3: probably needs that kind of stuff. So what's the future 396 00:20:06,280 --> 00:20:09,120 Speaker 3: of wireless in this country? Is it just our poop 397 00:20:09,160 --> 00:20:12,040 Speaker 3: growth average revenue per user? And is that kind of 398 00:20:12,080 --> 00:20:14,280 Speaker 3: the story for that is So. 399 00:20:14,320 --> 00:20:17,600 Speaker 4: That is a great question, that is what's driving growth 400 00:20:17,640 --> 00:20:20,000 Speaker 4: now for a telco you's sort of run out of 401 00:20:20,119 --> 00:20:23,520 Speaker 4: room for adding new subs and so you need to 402 00:20:23,640 --> 00:20:27,040 Speaker 4: drive that up, that average revenue per user, and they're 403 00:20:27,080 --> 00:20:29,760 Speaker 4: doing it with the giveaways. We were just talking about 404 00:20:29,920 --> 00:20:34,640 Speaker 4: They actually charge modestly for those. In some cases they're 405 00:20:34,720 --> 00:20:38,440 Speaker 4: selling you phone insurance. T Mobile is now pushing into 406 00:20:38,480 --> 00:20:41,919 Speaker 4: the advertising business, but the real avenue of growth to 407 00:20:42,000 --> 00:20:45,000 Speaker 4: watch for them going forward is broadband. They are making 408 00:20:45,080 --> 00:20:49,080 Speaker 4: more and more inroads into that market and T Mobile 409 00:20:49,640 --> 00:20:51,919 Speaker 4: It's what I'm watching with the new CEO here to 410 00:20:51,960 --> 00:20:55,240 Speaker 4: see what he does in fiber broadband, because if T 411 00:20:55,400 --> 00:20:58,439 Speaker 4: Mobile has had any sort of a misfire over the 412 00:20:58,480 --> 00:21:01,760 Speaker 4: past decade, it's not going into fiber broadband in a 413 00:21:01,800 --> 00:21:05,480 Speaker 4: bigger way in the way that AT and TM Verizon 414 00:21:05,560 --> 00:21:10,320 Speaker 4: both have through sizeable and aggressive acquisitions. So it'll be 415 00:21:10,400 --> 00:21:13,639 Speaker 4: interesting to see what he does there. My call is 416 00:21:13,720 --> 00:21:17,240 Speaker 4: he's going to start building quickly and aggressively, would be 417 00:21:17,320 --> 00:21:17,880 Speaker 4: my guess. 418 00:21:18,080 --> 00:21:20,000 Speaker 5: Another thing I just thought of that sold me on 419 00:21:20,040 --> 00:21:22,520 Speaker 5: TIM Mobile was they have a really simple bill, right, 420 00:21:22,560 --> 00:21:25,399 Speaker 5: they don't have the quoted amount and then tax on 421 00:21:25,440 --> 00:21:27,919 Speaker 5: top of that, everything's included, which makes any different. 422 00:21:28,240 --> 00:21:32,240 Speaker 4: It's user friendly, it's very They're very good at consumer branding. 423 00:21:32,320 --> 00:21:35,399 Speaker 4: They really understand the consumer and what they want and 424 00:21:35,480 --> 00:21:39,199 Speaker 4: wireless and from their carrier so and Snoop Dogg and 425 00:21:39,240 --> 00:21:40,359 Speaker 4: Snoopy spokesperson. 426 00:21:40,480 --> 00:21:43,440 Speaker 5: Yeah, I know, so when it comes to fierroptic, how 427 00:21:43,520 --> 00:21:45,800 Speaker 5: much more of that rollout is left? I mean, where 428 00:21:45,800 --> 00:21:48,639 Speaker 5: are they in that in that not transition, but in 429 00:21:48,680 --> 00:21:50,760 Speaker 5: that buildout. Is it like second inning or is it 430 00:21:50,880 --> 00:21:51,320 Speaker 5: eighth ining? 431 00:21:51,560 --> 00:21:54,320 Speaker 4: So I'm going to call second inning. Here's the really 432 00:21:54,359 --> 00:21:57,200 Speaker 4: interesting fact I picked up recently. If you look at 433 00:21:57,240 --> 00:22:01,919 Speaker 4: Canada or even Europe parts of Europe, fiber broadband is 434 00:22:02,080 --> 00:22:06,159 Speaker 4: seventy percent of the total installed base of broadband subscribers. 435 00:22:06,200 --> 00:22:09,639 Speaker 4: And keep in mind, fiber is far and away the 436 00:22:09,640 --> 00:22:13,760 Speaker 4: best medium for broadband. It has truly symmetrical speed, so 437 00:22:14,000 --> 00:22:18,640 Speaker 4: upload and download great for zoom calls, and it's extremely 438 00:22:18,720 --> 00:22:22,919 Speaker 4: high capacity, so it's sort of future proof in that sense. 439 00:22:23,400 --> 00:22:27,119 Speaker 4: The US is only thirty percent penetrated with fibers, so 440 00:22:27,160 --> 00:22:29,480 Speaker 4: I think there's lots of room to run there. And 441 00:22:29,480 --> 00:22:32,120 Speaker 4: that's what AT and T has done so well. They 442 00:22:32,119 --> 00:22:37,760 Speaker 4: have really leaned hard into a fiber broadband strategy. Verizon 443 00:22:37,960 --> 00:22:41,600 Speaker 4: has and is continuing to lean in there, and T 444 00:22:41,800 --> 00:22:44,520 Speaker 4: Mobile is the laggard. So again, with the new CEO 445 00:22:44,640 --> 00:22:47,480 Speaker 4: coming in here, I'm looking to see if we'll see 446 00:22:47,520 --> 00:22:49,600 Speaker 4: any change in that strategy of theirs. 447 00:22:50,359 --> 00:22:55,040 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apple, Spotify, 448 00:22:55,240 --> 00:22:59,200 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 449 00:22:59,400 --> 00:23:02,679 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 450 00:23:02,760 --> 00:23:06,639 Speaker 1: iHeartRadio app tune In, and the Bloomberg Business app. You 451 00:23:06,680 --> 00:23:09,960 Speaker 1: can also watch us live every weekday on YouTube and 452 00:23:10,160 --> 00:23:12,120 Speaker 1: always on the Bloomberg terminal