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 Coarclay and Android Auto with the Bloomberg 4 00:00:17,920 --> 00:00:21,000 Speaker 1: Business app. Listen on demand wherever you get your podcasts, 5 00:00:21,360 --> 00:00:23,120 Speaker 1: or watch us live on YouTube. 6 00:00:24,160 --> 00:00:27,360 Speaker 2: That title all situation. I don't know, Scarlett, I've said 7 00:00:27,360 --> 00:00:30,320 Speaker 2: this before, and Eric, my entire life has been the 8 00:00:30,360 --> 00:00:32,080 Speaker 2: magic drug that fixes. 9 00:00:31,760 --> 00:00:32,320 Speaker 3: Everything for me. 10 00:00:32,560 --> 00:00:35,440 Speaker 4: I know I have a mother who suffers from migraines 11 00:00:35,440 --> 00:00:37,480 Speaker 4: and she would reach for the titleal all the time. 12 00:00:37,600 --> 00:00:41,760 Speaker 4: So what President Trump is saying is certainly eye popping, 13 00:00:41,840 --> 00:00:42,800 Speaker 4: I think for a lot of people. 14 00:00:42,920 --> 00:00:46,040 Speaker 2: Yeah, exactly, moving the stock. As Charlie was just reporting, 15 00:00:46,040 --> 00:00:48,960 Speaker 2: we want to get the latest from Bloomberg Intelligence and 16 00:00:49,080 --> 00:00:51,440 Speaker 2: Hunter van Kirk Joints as she covers the healthcare stuff 17 00:00:51,600 --> 00:00:55,680 Speaker 2: for Bloomberg Intelligence and what is the what's the science 18 00:00:55,720 --> 00:00:58,360 Speaker 2: behind all of this? Is there science behind all of 19 00:00:58,400 --> 00:01:00,960 Speaker 2: this or is this just the present Trump and mister 20 00:01:01,160 --> 00:01:04,920 Speaker 2: Secretary Kennedy kind of going off the range a little bit. 21 00:01:06,280 --> 00:01:08,960 Speaker 5: That's a loaded question. There are a lot of studies 22 00:01:09,000 --> 00:01:12,960 Speaker 5: on it. It's certainly driven by an increase in finding 23 00:01:12,959 --> 00:01:16,679 Speaker 5: a solution for the increased rates of ADHD and autism. 24 00:01:17,120 --> 00:01:20,640 Speaker 5: I think it's really important here to qualify or quantify 25 00:01:20,760 --> 00:01:23,160 Speaker 5: what we're talking about with frequent tile and all use. 26 00:01:23,440 --> 00:01:26,280 Speaker 5: And most of the studies are looking at measured as 27 00:01:26,400 --> 00:01:29,119 Speaker 5: more than twenty eight days over the course of your pregnancy, 28 00:01:29,160 --> 00:01:31,400 Speaker 5: so that is a lot of tile and all use. 29 00:01:31,400 --> 00:01:34,160 Speaker 5: We're not talking about you have a high fever and 30 00:01:34,200 --> 00:01:37,000 Speaker 5: you take it for a day or two. Is this 31 00:01:37,040 --> 00:01:40,440 Speaker 5: is kind of more long term use. There is a 32 00:01:40,680 --> 00:01:44,480 Speaker 5: correlation between tile and all use and these disorders and children, 33 00:01:45,520 --> 00:01:47,720 Speaker 5: and I'll probably lose listeners if I go too deeply, 34 00:01:47,840 --> 00:01:51,440 Speaker 5: but correlation is not causation. Those are two separate things. 35 00:01:52,040 --> 00:01:54,120 Speaker 5: And while there's a lot of literature out there, a 36 00:01:54,160 --> 00:01:57,600 Speaker 5: lot of clinical studies, I would argue that the best 37 00:01:57,640 --> 00:02:01,520 Speaker 5: ones look at sibling analysis, so they compare a mother 38 00:02:01,680 --> 00:02:06,080 Speaker 5: who had frequent use during one pregnancy and not the next, 39 00:02:06,160 --> 00:02:08,720 Speaker 5: and that's the best way to kind of look at this. 40 00:02:08,800 --> 00:02:12,480 Speaker 5: And in those studies there was no findings of increased risks, 41 00:02:12,480 --> 00:02:14,200 Speaker 5: and there have been several There was a two and 42 00:02:14,200 --> 00:02:16,240 Speaker 5: a half million dollars a two and a half million 43 00:02:16,320 --> 00:02:19,720 Speaker 5: children study in Sweden as well as a more recent 44 00:02:20,080 --> 00:02:24,200 Speaker 5: one out of Japan. Unfortunately, randomized trials are are difficult 45 00:02:24,240 --> 00:02:27,320 Speaker 5: to do, there's just too many variables. But the sibling 46 00:02:27,360 --> 00:02:29,200 Speaker 5: analysis is probably the best we. 47 00:02:29,200 --> 00:02:31,600 Speaker 4: Have so And when I think about the companies that 48 00:02:31,600 --> 00:02:34,560 Speaker 4: are affected, certainly ken View, which owns the Tialnol brand, 49 00:02:34,760 --> 00:02:37,520 Speaker 4: is directly affected. And we saw the stock plunge yesterday. 50 00:02:37,520 --> 00:02:40,200 Speaker 4: It's recovered a bit today, up about three point two percent. 51 00:02:40,360 --> 00:02:43,400 Speaker 4: But Thailanol's generic name is a seed of meenaphin, and 52 00:02:43,440 --> 00:02:45,880 Speaker 4: there are many other companies that make a seed of 53 00:02:45,919 --> 00:02:49,079 Speaker 4: menaphin as well. Are we seeing them impacted in any way? 54 00:02:49,840 --> 00:02:50,080 Speaker 4: You know? 55 00:02:50,280 --> 00:02:52,560 Speaker 5: This is even for ken View, this is maybe a 56 00:02:52,600 --> 00:02:55,880 Speaker 5: high single digit portion of sales, and that's thailenol overall. 57 00:02:56,200 --> 00:02:59,040 Speaker 5: So you assume that the pregnant population is a much 58 00:02:59,080 --> 00:03:03,080 Speaker 5: smaller percentage of those sales. And I'd argue even you know, 59 00:03:03,360 --> 00:03:06,000 Speaker 5: before all of this, a lot of physicians, certainly mine 60 00:03:06,000 --> 00:03:09,560 Speaker 5: when I was pregnant, recommended only taking town hall when 61 00:03:09,600 --> 00:03:10,800 Speaker 5: you have one of those you. 62 00:03:10,840 --> 00:03:11,799 Speaker 3: Know, high fevers. 63 00:03:11,800 --> 00:03:16,320 Speaker 5: So I wouldn't expect it to truly be a material 64 00:03:16,360 --> 00:03:17,959 Speaker 5: impact to any of these companies. 65 00:03:18,600 --> 00:03:20,919 Speaker 2: Is there anything else out there that is at risk? Here, 66 00:03:21,080 --> 00:03:24,560 Speaker 2: I mean from just the FDA, I mean your coverage here, 67 00:03:24,560 --> 00:03:26,839 Speaker 2: because I know there's a lot of uncertainty about which 68 00:03:26,919 --> 00:03:30,400 Speaker 2: drugs are you know, kind of favored by this administration, 69 00:03:30,440 --> 00:03:32,240 Speaker 2: which ones aren't. Is that Are you seeing that in 70 00:03:32,240 --> 00:03:33,320 Speaker 2: your coverage of your companies? 71 00:03:33,560 --> 00:03:35,760 Speaker 5: Well, for pregnancy in particular, I'd say there are There 72 00:03:35,760 --> 00:03:38,240 Speaker 5: are no favorite drugs. You know, you certainly were never 73 00:03:39,680 --> 00:03:42,360 Speaker 5: suggested to take aspirin and Tilehall was one of the 74 00:03:42,400 --> 00:03:46,800 Speaker 5: few things that was considered okay. But overall, you know, 75 00:03:46,920 --> 00:03:49,680 Speaker 5: anytime you get a lot of media attention on any 76 00:03:50,040 --> 00:03:54,240 Speaker 5: drug from from politics or anything else, it's typically not 77 00:03:54,320 --> 00:03:56,160 Speaker 5: a great thing for the companies. But I think it 78 00:03:56,200 --> 00:03:58,920 Speaker 5: does tend to even out as it passes. 79 00:03:59,520 --> 00:04:03,640 Speaker 4: You are senior equity analyst for biopharmaceuticals. When the Secretary 80 00:04:03,760 --> 00:04:07,000 Speaker 4: of Health, Robert F. Kennedy Junior speaks, does he tend 81 00:04:07,040 --> 00:04:08,680 Speaker 4: to move companies in your universe? 82 00:04:09,320 --> 00:04:12,920 Speaker 5: I would argue, yes, for better or for worse. I'd 83 00:04:12,960 --> 00:04:15,040 Speaker 5: say they definitely move, but I would say that they 84 00:04:15,120 --> 00:04:16,320 Speaker 5: go back to a steady state. 85 00:04:18,200 --> 00:04:18,839 Speaker 3: Stay with us. 86 00:04:19,000 --> 00:04:21,279 Speaker 2: More from Bloomberg Intelligence coming up after this. 87 00:04:24,960 --> 00:04:28,640 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us Live 88 00:04:28,720 --> 00:04:31,440 Speaker 1: weekdays at ten am. He's done on Apple, Cocklay and 89 00:04:31,440 --> 00:04:34,720 Speaker 1: Android Auto with the Bloomberg Business app. Listen on demand 90 00:04:34,760 --> 00:04:38,320 Speaker 1: wherever you get your podcasts, or watch us live on YouTube. 91 00:04:38,920 --> 00:04:41,120 Speaker 2: The social media thing, I think it's a thing. 92 00:04:41,400 --> 00:04:42,120 Speaker 4: It's a big right. 93 00:04:42,279 --> 00:04:43,919 Speaker 2: And you know what's one of the big pieces of 94 00:04:43,920 --> 00:04:46,040 Speaker 2: this whole social media is the whole TikTok thing. That's 95 00:04:46,040 --> 00:04:46,360 Speaker 2: a thing. 96 00:04:46,640 --> 00:04:48,800 Speaker 4: Well, President Trump has changed his mind on this. He 97 00:04:48,920 --> 00:04:50,360 Speaker 4: wasn't failing for now he is. 98 00:04:50,520 --> 00:04:51,920 Speaker 2: I don't know where we're going on this. I mean, 99 00:04:53,120 --> 00:04:55,520 Speaker 2: this is something that active Congress says, Hey, you got 100 00:04:55,520 --> 00:04:56,400 Speaker 2: to sell it or. 101 00:04:57,560 --> 00:04:58,320 Speaker 4: You got shut down. 102 00:04:58,360 --> 00:05:00,800 Speaker 2: Shut I don't know what's going She joined that she 103 00:05:00,920 --> 00:05:02,880 Speaker 2: knows what's going on. She's a vice president of insights 104 00:05:02,920 --> 00:05:05,760 Speaker 2: for Censored Tower, joining us live here in our Bloomberg 105 00:05:05,760 --> 00:05:07,839 Speaker 2: Interactive broker's studio. 106 00:05:08,440 --> 00:05:10,000 Speaker 3: TikTok huge platform. 107 00:05:10,279 --> 00:05:13,400 Speaker 2: You guys track everything on the data, the advertising, the 108 00:05:13,560 --> 00:05:15,320 Speaker 2: in app spend. You know, you guys know what's going 109 00:05:15,320 --> 00:05:18,280 Speaker 2: on there. Ye talk to us about TikTok and if 110 00:05:18,279 --> 00:05:20,120 Speaker 2: I'm going to buy this thing, what am I buying? 111 00:05:20,160 --> 00:05:21,440 Speaker 3: Actually, what you're. 112 00:05:21,279 --> 00:05:23,960 Speaker 6: Really buying is the as we said, one point six 113 00:05:24,000 --> 00:05:26,720 Speaker 6: billion in in app revenue that they earned just this 114 00:05:26,839 --> 00:05:29,520 Speaker 6: year so far. I think since launch they've earned about 115 00:05:29,520 --> 00:05:32,600 Speaker 6: six billion in app revenue. So for those who aren't clear, 116 00:05:32,640 --> 00:05:34,200 Speaker 6: it's when you're on the app and you make a 117 00:05:34,240 --> 00:05:36,680 Speaker 6: purchase within it that goes through the app store, and 118 00:05:36,720 --> 00:05:40,880 Speaker 6: that is an in app revenue purchase. So that's one 119 00:05:40,920 --> 00:05:43,359 Speaker 6: part of it that's probably the most lucrative. It is 120 00:05:43,400 --> 00:05:46,240 Speaker 6: the most lucrative market for TikTok for InApp revenue. The 121 00:05:46,240 --> 00:05:49,640 Speaker 6: other thing is the value of its advertising, right. TikTok 122 00:05:49,720 --> 00:05:51,800 Speaker 6: users in the US spend eighty minutes per day on 123 00:05:51,880 --> 00:05:54,320 Speaker 6: the app, and this is followed by fifty three minutes 124 00:05:54,320 --> 00:05:56,880 Speaker 6: per day at Instagram. So it's very valuable of highly 125 00:05:56,920 --> 00:06:01,000 Speaker 6: engaged users. So it's a strong place to attractive market 126 00:06:01,200 --> 00:06:02,360 Speaker 6: or place to put your ads. 127 00:06:02,760 --> 00:06:04,520 Speaker 4: I'm a parent, and what you just said is like, 128 00:06:04,880 --> 00:06:07,400 Speaker 4: I'm filled with fear now listening to what you just said. 129 00:06:08,200 --> 00:06:09,800 Speaker 4: What I didn't hear you say though, in terms of 130 00:06:09,800 --> 00:06:12,960 Speaker 4: what you're buying is the algorithm, because TikTok apparently serves 131 00:06:13,000 --> 00:06:15,960 Speaker 4: up content better than any of the other social media networks. Right, 132 00:06:16,160 --> 00:06:17,839 Speaker 4: Instagram will serve you of a lot of things that 133 00:06:17,839 --> 00:06:20,640 Speaker 4: you're not interested in. But TikTok seems to know and 134 00:06:20,760 --> 00:06:23,840 Speaker 4: zero in of what gets your attention, So a US 135 00:06:23,920 --> 00:06:26,359 Speaker 4: buyer of US TikTok doesn't get that, does it. 136 00:06:26,520 --> 00:06:31,760 Speaker 6: My understanding is that the ByteDance would license that algorithm, 137 00:06:31,920 --> 00:06:35,240 Speaker 6: you know, technology to the US owners, and then there's 138 00:06:35,279 --> 00:06:37,200 Speaker 6: been talk maybe you'd have to have a separate app, 139 00:06:37,200 --> 00:06:40,080 Speaker 6: and that has gone away, But the question would be 140 00:06:40,279 --> 00:06:43,000 Speaker 6: like will you still get that same content even if 141 00:06:43,040 --> 00:06:45,840 Speaker 6: the algorithm is adjusted even slightly? And then what would 142 00:06:45,839 --> 00:06:48,960 Speaker 6: the value of TikTok actually be? And I think the 143 00:06:49,000 --> 00:06:52,240 Speaker 6: other thing, it's probably one of the more young or 144 00:06:52,440 --> 00:06:54,159 Speaker 6: youthful oriented platforms. 145 00:06:54,200 --> 00:06:56,960 Speaker 3: So if the buyers that. 146 00:06:56,839 --> 00:06:59,760 Speaker 6: Come in are you know, kind of shifted towards more 147 00:06:59,760 --> 00:07:02,880 Speaker 6: like a Facebook or changed the algorithm, it may be 148 00:07:02,920 --> 00:07:04,719 Speaker 6: less attractive to these younger users. 149 00:07:04,760 --> 00:07:07,200 Speaker 3: And therefore, as an advertising platform. 150 00:07:06,839 --> 00:07:09,280 Speaker 2: What are the advertisers saying. I mean, they've got a 151 00:07:09,360 --> 00:07:11,080 Speaker 2: vested interest in thy because they've you know a lot 152 00:07:11,160 --> 00:07:13,280 Speaker 2: of money. They spent a lot of money on this platform. 153 00:07:13,360 --> 00:07:15,920 Speaker 6: Yes, from year to date this year versus last year, 154 00:07:15,960 --> 00:07:18,640 Speaker 6: eight of the ten top advertisers on TikTok have increased 155 00:07:18,640 --> 00:07:22,520 Speaker 6: their spend like Uber Comcast, so they are spending. There's 156 00:07:22,520 --> 00:07:24,960 Speaker 6: been more fluctuations than Uber, just because I think people 157 00:07:24,960 --> 00:07:27,800 Speaker 6: were unsure about what was going to happen to the app, 158 00:07:27,840 --> 00:07:29,000 Speaker 6: if it was going to be removed. 159 00:07:29,000 --> 00:07:31,320 Speaker 3: But as of yet, it makes up about. 160 00:07:31,080 --> 00:07:34,880 Speaker 6: Five percent of social media ad revenue in the US. 161 00:07:35,240 --> 00:07:37,320 Speaker 4: We'll come second. I mean, if this thing is not 162 00:07:37,480 --> 00:07:39,800 Speaker 4: handled well, or if this takes longer than expected and 163 00:07:39,800 --> 00:07:42,880 Speaker 4: people start migrating to other platforms, who stands to benefit 164 00:07:42,920 --> 00:07:43,320 Speaker 4: the most. 165 00:07:44,000 --> 00:07:47,040 Speaker 6: I would say Instagram with its reels. Time spent on 166 00:07:47,680 --> 00:07:50,040 Speaker 6: Instagram as an app has gone up fourteen percent year 167 00:07:50,040 --> 00:07:53,000 Speaker 6: of the year versus just one percent for TikTok. And 168 00:07:53,040 --> 00:07:55,320 Speaker 6: the thing is people are spending about forty six percent 169 00:07:55,360 --> 00:07:58,200 Speaker 6: of their time within Instagram on reels, and that's up 170 00:07:58,200 --> 00:07:59,960 Speaker 6: from thirty four percent last year. 171 00:08:00,160 --> 00:08:01,040 Speaker 3: So there's a huge. 172 00:08:00,880 --> 00:08:03,200 Speaker 6: Amount of time spent on reels, which is another short 173 00:08:03,240 --> 00:08:08,320 Speaker 6: form video media, and it's similar to YouTube shorts. And 174 00:08:08,360 --> 00:08:12,000 Speaker 6: that's where I think you'd see people migrate to if the. 175 00:08:11,960 --> 00:08:15,440 Speaker 2: Sort who advertises on these the Tiktoks of the world. 176 00:08:17,280 --> 00:08:21,240 Speaker 6: The largest advertisers and shopping in pretty much all industries 177 00:08:21,320 --> 00:08:25,520 Speaker 6: media entertainment. You know, Amazon is a huge advertiser on 178 00:08:25,600 --> 00:08:28,720 Speaker 6: all of these networks, as was TMU prior a couple 179 00:08:28,760 --> 00:08:29,320 Speaker 6: of years ago. 180 00:08:29,440 --> 00:08:31,680 Speaker 3: Shean Walmart. They all are. 181 00:08:31,640 --> 00:08:35,199 Speaker 2: Advertising advertisers that used to advertise on broadcast. 182 00:08:35,000 --> 00:08:40,960 Speaker 7: Yeising, and it's a lot cheaper to advertise on the 183 00:08:40,920 --> 00:08:43,640 Speaker 7: still a more targeted theoretically, right, because they know what 184 00:08:43,679 --> 00:08:45,599 Speaker 7: you buy, what you like, so they can target the 185 00:08:45,640 --> 00:08:46,960 Speaker 7: ad Absolutely, that's. 186 00:08:47,000 --> 00:08:49,160 Speaker 2: A little better than eighteen to twenty nine men. 187 00:08:49,240 --> 00:08:53,040 Speaker 4: I know exactly Homer Simpson or you know Homer Simpson's 188 00:08:53,040 --> 00:08:55,400 Speaker 4: son bed rotting. Have you heard of that term? 189 00:08:55,480 --> 00:08:59,600 Speaker 3: Yes, I have, unfortunately bed rotting rotting. 190 00:08:59,679 --> 00:09:03,440 Speaker 4: It's a gen Z term where individuals, usually teenagers, spend 191 00:09:03,800 --> 00:09:06,520 Speaker 4: extended time in bed, not for sleep or illness, but 192 00:09:06,559 --> 00:09:08,600 Speaker 4: for passive activities like scrolling. 193 00:09:09,160 --> 00:09:13,240 Speaker 6: And I've unfortunately seen that in my own house. Yes, 194 00:09:13,320 --> 00:09:15,480 Speaker 6: I have seen that in what they are, and I 195 00:09:15,480 --> 00:09:17,800 Speaker 6: think I can see from my own sort of anecdotal 196 00:09:17,840 --> 00:09:20,800 Speaker 6: experience that algorithm works. I can hear them laughing, they 197 00:09:20,880 --> 00:09:23,760 Speaker 6: keep wanting I don't find them funny, but anyway, they 198 00:09:23,840 --> 00:09:25,760 Speaker 6: keep showing these videos and they can literally sit there 199 00:09:25,800 --> 00:09:28,200 Speaker 6: and scroll for hours and hours and hours. 200 00:09:28,200 --> 00:09:31,840 Speaker 4: It was very meta because bedriting became popular through TikTok 201 00:09:32,120 --> 00:09:33,320 Speaker 4: like TikTok kind of encouraged. 202 00:09:33,400 --> 00:09:36,520 Speaker 3: Yes, ass about it. Yes, it's like something to do. 203 00:09:36,559 --> 00:09:39,440 Speaker 6: It is glamorized, I would say by having this sort 204 00:09:39,840 --> 00:09:42,840 Speaker 6: So all that to say is, if this algorithm shifts, 205 00:09:43,120 --> 00:09:46,720 Speaker 6: there will be other winners, probably Instagram or meta platforms. 206 00:09:46,720 --> 00:09:48,480 Speaker 6: But it like, I don't know what it would mean 207 00:09:49,000 --> 00:09:51,480 Speaker 6: to TikTok itself if there was any change in the 208 00:09:51,520 --> 00:09:54,400 Speaker 6: algorithm or any change in the way the content is delivered. 209 00:09:54,679 --> 00:09:58,920 Speaker 2: Right, And this is a obviously this is a global business. Yes, 210 00:09:59,120 --> 00:10:01,000 Speaker 2: I mean I'm looking at I thought just most things, 211 00:10:01,000 --> 00:10:02,760 Speaker 2: I just think. I just thought the US would lead 212 00:10:02,800 --> 00:10:06,160 Speaker 2: in in use, but it doesn't. 213 00:10:05,760 --> 00:10:09,040 Speaker 6: Indonesia, Brazil, and Mexico are larger than the US. The 214 00:10:09,120 --> 00:10:12,479 Speaker 6: US only makes up six percent of daily active users 215 00:10:12,520 --> 00:10:16,079 Speaker 6: for TikTok, but thirty percent of in app revenue. 216 00:10:16,280 --> 00:10:19,560 Speaker 4: So what would happen if you know, TikTok us is 217 00:10:19,600 --> 00:10:22,199 Speaker 4: siphoned off from regular TikTok. We're the only market that 218 00:10:22,240 --> 00:10:24,960 Speaker 4: gets us TikTok and everyone else stays on TikTok proper. 219 00:10:26,360 --> 00:10:28,640 Speaker 6: If there was a separate app, I suppose that could happen. 220 00:10:28,720 --> 00:10:31,880 Speaker 6: But a lot of the content that people consume is 221 00:10:32,200 --> 00:10:35,000 Speaker 6: Internet it's global, so if you cut that off then 222 00:10:35,080 --> 00:10:37,160 Speaker 6: I don't really know, and you can get the same 223 00:10:37,240 --> 00:10:41,280 Speaker 6: global content from competitors like Instagram. I think that would 224 00:10:41,280 --> 00:10:45,760 Speaker 6: be a huge risk to TikTok's engagement levels, daily active users, 225 00:10:45,760 --> 00:10:48,440 Speaker 6: and then subsequently down the pipe advertising because obviously the 226 00:10:48,440 --> 00:10:49,720 Speaker 6: platform is less attractive. 227 00:10:49,920 --> 00:10:51,760 Speaker 2: There's few people I have any sense of when we're 228 00:10:51,800 --> 00:10:53,320 Speaker 2: going to get clarity on this whole thing. 229 00:10:53,960 --> 00:10:57,400 Speaker 6: Supposedly December sixteenth, but that's sort of a rolling deadline, 230 00:10:57,440 --> 00:11:00,480 Speaker 6: so you see, I think people are still unsure of 231 00:11:00,720 --> 00:11:03,480 Speaker 6: what is going to happen. But the news of the 232 00:11:03,559 --> 00:11:06,640 Speaker 6: late seems a little bit more solid that there is 233 00:11:06,679 --> 00:11:09,599 Speaker 6: a group of potentially a group of people. Oracle is 234 00:11:09,640 --> 00:11:10,679 Speaker 6: going to manage the server. 235 00:11:10,840 --> 00:11:13,520 Speaker 4: That's been the consistent name throughout this y and a. 236 00:11:13,520 --> 00:11:16,680 Speaker 2: Couple of private equity but I mean great private andres 237 00:11:16,720 --> 00:11:19,079 Speaker 2: and Horowitz silver Lake, who I think is the best 238 00:11:19,120 --> 00:11:22,960 Speaker 2: private equity player in technology, and recent's little bit more 239 00:11:23,040 --> 00:11:26,319 Speaker 2: VC earlier. Stay. Yeah, yeah, so the real names and oh. 240 00:11:26,280 --> 00:11:28,400 Speaker 6: They're definitely a real name, but it's just a matter 241 00:11:28,440 --> 00:11:30,760 Speaker 6: of how they manage the business though after and how 242 00:11:30,800 --> 00:11:34,640 Speaker 6: that changes. It's a cultural phenomenon in some senses right, 243 00:11:34,720 --> 00:11:36,600 Speaker 6: so you can be careful what you do with it. 244 00:11:37,240 --> 00:11:41,920 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 245 00:11:42,120 --> 00:11:46,080 Speaker 1: and anywhere else you get your podcasts. Listen live each weekday, 246 00:11:46,280 --> 00:11:49,640 Speaker 1: ten am to noon Eastern on Bloomberg dot com, the 247 00:11:49,640 --> 00:11:53,520 Speaker 1: iHeartRadio app, tune In, and the Bloomberg Business app. You 248 00:11:53,559 --> 00:11:56,880 Speaker 1: can also watch us live every weekday on YouTube and 249 00:11:57,080 --> 00:11:59,760 Speaker 1: always on the Bloomberg terminal