1 00:00:02,520 --> 00:00:09,680 Speaker 1: Bloomberg Audio Studios, podcasts, radio news from the heart of 2 00:00:09,760 --> 00:00:15,480 Speaker 1: where innovation, money and power collide in Silicon Valley and beyond. 3 00:00:15,920 --> 00:00:41,560 Speaker 1: This is Bloomberg Technology with Caroline Hyde and Ed Ludlow. 4 00:00:35,200 --> 00:00:37,199 Speaker 2: Live from New York. I'm Caroline Hyde. 5 00:00:37,760 --> 00:00:41,680 Speaker 3: And I'm Mike Sheppard and Washington. This is Bloomberg Technology. 6 00:00:41,159 --> 00:00:44,280 Speaker 4: Coming up metas all in on AI with plans to 7 00:00:44,320 --> 00:00:47,440 Speaker 4: boost capital expenditure to up to sixty five billion dollars 8 00:00:47,479 --> 00:00:50,080 Speaker 4: in twenty twenty five, plus a choppy start to chip 9 00:00:50,080 --> 00:00:53,559 Speaker 4: earnings with global semi stocks falling after Texas Instruments is 10 00:00:53,560 --> 00:00:56,080 Speaker 4: the latest to underwhelm and what'll be joined by Frank 11 00:00:56,120 --> 00:00:59,000 Speaker 4: McCourt on the future of TikTok in the US and 12 00:00:59,160 --> 00:01:01,920 Speaker 4: his bid for the social media platform. At first, we 13 00:01:02,040 --> 00:01:04,800 Speaker 4: check in on these markets, Mike, which are still treading 14 00:01:04,840 --> 00:01:05,679 Speaker 4: near record highs. 15 00:01:05,720 --> 00:01:07,560 Speaker 2: The NASAC is up almost two percent with the course 16 00:01:07,560 --> 00:01:07,959 Speaker 2: of the week. 17 00:01:08,160 --> 00:01:10,560 Speaker 4: But we draw down a little bit as we of 18 00:01:10,600 --> 00:01:13,080 Speaker 4: course see the weight of some chip stocks causing a 19 00:01:13,080 --> 00:01:16,760 Speaker 4: little anxiety. Look at his industrial automotive end markets that 20 00:01:16,840 --> 00:01:19,920 Speaker 4: still prove wheak. Texas Instruments again falling on from s 21 00:01:20,000 --> 00:01:22,839 Speaker 4: k Heinix, which had a little bit of an underwhelming 22 00:01:22,880 --> 00:01:26,360 Speaker 4: earnings report as well. They're seeing the smartphone weakness, but 23 00:01:26,560 --> 00:01:29,560 Speaker 4: AI still really managing to drive forward. Broadcom is on 24 00:01:29,560 --> 00:01:32,320 Speaker 4: the higher side when it comes to the socks. Why's 25 00:01:32,360 --> 00:01:34,520 Speaker 4: broad come up because of our nex stock. Let's have 26 00:01:34,520 --> 00:01:36,840 Speaker 4: a look at what's happening with Meta today, because they 27 00:01:37,120 --> 00:01:39,959 Speaker 4: see from Mark Zuckerberg almost front running his own earnings 28 00:01:40,000 --> 00:01:42,200 Speaker 4: report next week to say that they are committed to 29 00:01:42,240 --> 00:01:47,080 Speaker 4: spending on AI, data centers, people, infrastructure, and indeed we're 30 00:01:47,120 --> 00:01:48,680 Speaker 4: starting to see it up nineteen percent. 31 00:01:48,760 --> 00:01:49,880 Speaker 2: We're at a record high for Meta. 32 00:01:49,920 --> 00:01:52,200 Speaker 4: Let's get out to Kurt Wagner for more, because this 33 00:01:52,280 --> 00:01:56,040 Speaker 4: is all about upping its capital expenditure to whopping sixty 34 00:01:56,040 --> 00:01:56,600 Speaker 4: five billion. 35 00:01:57,840 --> 00:02:00,200 Speaker 5: Yeah, and that's about fifty percent more than what we 36 00:02:00,240 --> 00:02:02,720 Speaker 5: saw in twenty twenty four, which was a big amount 37 00:02:02,720 --> 00:02:04,639 Speaker 5: thirty eight to forty billion, and a lot of people 38 00:02:04,880 --> 00:02:07,120 Speaker 5: a year ago, Caroline, were sort of worried is Meta 39 00:02:07,200 --> 00:02:10,399 Speaker 5: overspending here? Right? And here they are jumping up even higher. 40 00:02:10,440 --> 00:02:12,760 Speaker 5: I mean, I think you hit it right there, which 41 00:02:12,800 --> 00:02:15,000 Speaker 5: is that this is an AI play, right, This is 42 00:02:15,320 --> 00:02:18,680 Speaker 5: data centers, these are GPUs, this is you know, trying 43 00:02:18,680 --> 00:02:21,959 Speaker 5: to keep pace with Open AI and Microsoft and Google 44 00:02:21,960 --> 00:02:24,400 Speaker 5: and all these other companies that are investing so heavily. 45 00:02:24,400 --> 00:02:26,639 Speaker 5: It's been a huge focus for Mark Zuckerberg over the 46 00:02:26,720 --> 00:02:29,040 Speaker 5: last couple of years and clearly will continue to be 47 00:02:29,080 --> 00:02:29,920 Speaker 5: in twenty twenty five. 48 00:02:30,720 --> 00:02:34,000 Speaker 3: Kurt. We've seen some investors express concern about whether there 49 00:02:34,040 --> 00:02:37,280 Speaker 3: is an overspend in AI, but today they seem to 50 00:02:37,320 --> 00:02:40,080 Speaker 3: be giving a little bit of grace to Meta. Why 51 00:02:40,200 --> 00:02:41,360 Speaker 3: is that in metas case? 52 00:02:41,720 --> 00:02:44,480 Speaker 5: Well, I think this is the most exciting technology that 53 00:02:44,520 --> 00:02:45,760 Speaker 5: Meta could be investing in. 54 00:02:45,840 --> 00:02:45,960 Speaker 6: Right. 55 00:02:46,000 --> 00:02:47,880 Speaker 5: If you're a meta investor and you say, hey, what 56 00:02:47,919 --> 00:02:50,560 Speaker 5: would you rather do have Mark Zuckerberg put twenty billion 57 00:02:50,600 --> 00:02:54,800 Speaker 5: dollars into AI or twenty billion dollars into you know, 58 00:02:55,160 --> 00:02:55,760 Speaker 5: the metaverse? 59 00:02:55,840 --> 00:02:56,000 Speaker 7: Right? 60 00:02:56,040 --> 00:02:58,000 Speaker 5: And obviously those things are related. A lot of the 61 00:02:58,000 --> 00:03:01,240 Speaker 5: A technology will ultimately power the metaverse. But my point 62 00:03:01,360 --> 00:03:04,959 Speaker 5: simply being is that I think this is the avenue 63 00:03:05,200 --> 00:03:07,520 Speaker 5: where investors are okay with overspending. 64 00:03:07,600 --> 00:03:07,720 Speaker 7: Right. 65 00:03:07,720 --> 00:03:11,000 Speaker 5: Even Mark Zuckerberg told our own Emily Chang last summer, Hey, 66 00:03:11,040 --> 00:03:12,880 Speaker 5: a lot of us are going to overspend, but that 67 00:03:13,040 --> 00:03:16,400 Speaker 5: is a better outcome than waking up ten years from 68 00:03:16,440 --> 00:03:18,480 Speaker 5: now and realizing you missed the boat on this whole thing. 69 00:03:18,880 --> 00:03:22,000 Speaker 3: Bloomberg's Kurt Wagner, Thank you. And it was a big 70 00:03:22,000 --> 00:03:25,320 Speaker 3: week for chip stocks as President Trump announced Project Stargate 71 00:03:25,400 --> 00:03:29,280 Speaker 3: to help boost AI infrastructure, but weakness in traditional memory 72 00:03:29,320 --> 00:03:32,799 Speaker 3: markets is limiting that euphoria. For more, we're joined by 73 00:03:32,840 --> 00:03:37,040 Speaker 3: Peter Elstrom of Bloomberg. Thank you, Peter. Peter, we are 74 00:03:37,120 --> 00:03:40,400 Speaker 3: seeing that this AI wave is not lifting all boats. 75 00:03:40,440 --> 00:03:42,240 Speaker 3: Can you talk a little bit about what happened with 76 00:03:42,360 --> 00:03:46,000 Speaker 3: sk Heinex and Texast Instruments for example, and then more broadly. 77 00:03:46,840 --> 00:03:50,200 Speaker 8: Yeah, Ska Honicks is a Korean company that doesn't get 78 00:03:50,240 --> 00:03:52,760 Speaker 8: that much attention, doesn't get the kind of attention that 79 00:03:52,960 --> 00:03:56,520 Speaker 8: Nvidia does, but it's very related to them. In Vidia 80 00:03:56,560 --> 00:03:59,800 Speaker 8: makes the AI accelerators and Ska Honicks makes the memory 81 00:04:00,200 --> 00:04:02,280 Speaker 8: that are paired with those accelerators to be able to 82 00:04:02,360 --> 00:04:04,839 Speaker 8: run these AI models. So it's a pretty good bill 83 00:04:04,880 --> 00:04:07,040 Speaker 8: weather of what's going on in the AI market now. 84 00:04:07,080 --> 00:04:10,080 Speaker 8: It's earnings results, by almost any measure, were quite strong. 85 00:04:10,200 --> 00:04:13,320 Speaker 8: Revenue was of seventy five percent, their operating profit was 86 00:04:13,400 --> 00:04:16,719 Speaker 8: up twenty fold, but it wasn't enough for investors. The 87 00:04:16,760 --> 00:04:19,719 Speaker 8: shares actually declined about three percent yesterday. There's been some 88 00:04:19,839 --> 00:04:22,160 Speaker 8: softness in that market, and that sort of sent some 89 00:04:22,240 --> 00:04:25,400 Speaker 8: concerns throughout the market, including here into Europe and into 90 00:04:25,440 --> 00:04:28,120 Speaker 8: the US yesterday. It just goes to show how high 91 00:04:28,120 --> 00:04:30,640 Speaker 8: the expectations are in this market. You would think that 92 00:04:30,800 --> 00:04:33,520 Speaker 8: sixty five billion dollars in spending on AI will get 93 00:04:33,520 --> 00:04:35,720 Speaker 8: you something of a rally in stocks, but that's not 94 00:04:35,720 --> 00:04:36,560 Speaker 8: what we're seeing so far. 95 00:04:36,640 --> 00:04:39,640 Speaker 4: Yeah, any Broadcom really managing to garnering any love from 96 00:04:39,640 --> 00:04:42,240 Speaker 4: that because it's a supplier to Meta so too is 97 00:04:42,279 --> 00:04:44,480 Speaker 4: in video that's on the downside, and maybe that's more 98 00:04:44,640 --> 00:04:47,080 Speaker 4: in line with what we're seeing with Texas instruments. It 99 00:04:47,200 --> 00:04:50,320 Speaker 4: underwhelms on its numbers, but it's the end markets of autos, 100 00:04:50,320 --> 00:04:53,200 Speaker 4: of industrials of actually maybe where we'll see some tariffs 101 00:04:53,279 --> 00:04:54,400 Speaker 4: being hit from China too. 102 00:04:55,800 --> 00:04:58,640 Speaker 8: Yeah, there are different kinds of concerns around Texas instruments. 103 00:04:58,680 --> 00:05:01,040 Speaker 8: They play a bit more into the traditional markets, as 104 00:05:01,080 --> 00:05:03,720 Speaker 8: you say, into the auto market in particular. We could 105 00:05:03,760 --> 00:05:06,480 Speaker 8: have teriffs impact some of those in markets. It's not 106 00:05:06,520 --> 00:05:08,600 Speaker 8: clear exactly how that's going to spend. And also Trump 107 00:05:08,680 --> 00:05:11,400 Speaker 8: has been talking about rolling back some of the subsidies 108 00:05:11,400 --> 00:05:13,599 Speaker 8: for evs, which take a lot of these ships too. 109 00:05:13,920 --> 00:05:17,920 Speaker 8: So there's some softness and some more traditional size parts 110 00:05:17,920 --> 00:05:20,839 Speaker 8: of the chip market here that may be impacting Texas 111 00:05:20,880 --> 00:05:23,919 Speaker 8: instruments and overall just raising concerns about whether some of 112 00:05:23,920 --> 00:05:27,840 Speaker 8: these valuations have gotten ahead of themselves from AI into 113 00:05:27,839 --> 00:05:28,919 Speaker 8: some of these other areas. 114 00:05:29,640 --> 00:05:33,400 Speaker 4: Peter Elstrom manering the tech with the politics. 115 00:05:33,600 --> 00:05:36,640 Speaker 2: We thank you so much on all things chip. President Trump. 116 00:05:36,640 --> 00:05:40,239 Speaker 4: They're speaking as he boards Air Force one in Nashville, 117 00:05:40,279 --> 00:05:44,359 Speaker 4: North Carolina, visiting. Of course family is affected by Hurricane Helen. 118 00:05:44,440 --> 00:05:47,719 Speaker 4: But he spoke much more about Federal Emergency Management Agency, 119 00:05:47,760 --> 00:05:51,200 Speaker 4: wanting them to see less involvement in hurricane recovery and 120 00:05:51,320 --> 00:05:54,080 Speaker 4: more state involvement when it comes to these sorts of 121 00:05:54,160 --> 00:05:55,040 Speaker 4: natural disasters. 122 00:05:55,440 --> 00:05:57,640 Speaker 2: Also speaking about OPEC, the view. 123 00:05:57,560 --> 00:06:00,520 Speaker 4: On cutting oil prices, and indeed he was speaking that 124 00:06:00,640 --> 00:06:03,039 Speaker 4: a little bit about some of the immigration policies, and 125 00:06:03,120 --> 00:06:07,320 Speaker 4: indeed once again criticizing some of the water policies in California. 126 00:06:07,360 --> 00:06:12,000 Speaker 4: He pans to visit California next and regarding those LA wildfires. 127 00:06:12,120 --> 00:06:14,880 Speaker 4: But Mike, we have much more on President Trump's policies. 128 00:06:16,240 --> 00:06:18,560 Speaker 3: We do, and he has these big ambitions for the 129 00:06:18,680 --> 00:06:21,640 Speaker 3: US to become an AI superpower. As we heard him 130 00:06:21,680 --> 00:06:24,680 Speaker 3: talk about at Davos yesterday. This is touching off a 131 00:06:24,720 --> 00:06:27,880 Speaker 3: global tech race, and we're joined by Michelle guid To, 132 00:06:28,279 --> 00:06:32,120 Speaker 3: the CEO of the Kroc Institute for Tech Diplomacy at Purdue, 133 00:06:32,200 --> 00:06:35,600 Speaker 3: to talk us through it. Michelle, we have seen this 134 00:06:35,640 --> 00:06:38,839 Speaker 3: week the Stargate venture announced and then Meta today talking 135 00:06:38,880 --> 00:06:42,719 Speaker 3: about a big investment in AI and in data centers. 136 00:06:42,839 --> 00:06:45,640 Speaker 3: Those are all private sector initiatives. Are they going to 137 00:06:45,680 --> 00:06:48,520 Speaker 3: be enough to keep up with what rivals like China 138 00:06:48,600 --> 00:06:51,760 Speaker 3: in particular, are doing with state driven investment? 139 00:06:53,480 --> 00:06:53,680 Speaker 7: Yeah? 140 00:06:53,720 --> 00:06:55,719 Speaker 9: Thanks, thanks for that. Mike. Well, I think what we're 141 00:06:55,720 --> 00:06:58,680 Speaker 9: seeing in the first five days of the second Trump 142 00:06:58,760 --> 00:07:03,600 Speaker 9: administration is America First also means innovation first, and as 143 00:07:03,640 --> 00:07:05,440 Speaker 9: you pointed out, there is a lot of momentum with 144 00:07:05,520 --> 00:07:09,080 Speaker 9: private sector companies now stepping up their game to invest 145 00:07:09,200 --> 00:07:11,960 Speaker 9: in the future of the United States becoming what the 146 00:07:12,000 --> 00:07:16,200 Speaker 9: President has said will be the world capital of artificial intelligence, 147 00:07:16,200 --> 00:07:20,400 Speaker 9: the world capital of cryptocurrency. And that's really important because 148 00:07:20,520 --> 00:07:23,400 Speaker 9: China wants to hold that title. And China is also 149 00:07:23,440 --> 00:07:25,840 Speaker 9: pouring a lot of its own government money, billions and 150 00:07:25,880 --> 00:07:31,040 Speaker 9: billions of dollars into building out data centers, building out infrastructure. 151 00:07:31,040 --> 00:07:34,560 Speaker 9: They're building eight new massive data hubs. They're approving ten 152 00:07:34,640 --> 00:07:38,680 Speaker 9: nuclear power plants every year. They have a national initiative 153 00:07:38,760 --> 00:07:42,520 Speaker 9: called Eastern Data Western Compute. So to see private sector 154 00:07:42,520 --> 00:07:47,000 Speaker 9: companies United States all of a sudden really cranking up 155 00:07:47,040 --> 00:07:49,720 Speaker 9: their investment in this strategic capability for the United States 156 00:07:49,760 --> 00:07:50,360 Speaker 9: as good news. 157 00:07:52,000 --> 00:07:54,520 Speaker 3: Michelle, You've talked in the past about the importance of 158 00:07:54,600 --> 00:07:59,240 Speaker 3: democratic allies working together in this area of tech. Yesterday, 159 00:07:59,240 --> 00:08:02,760 Speaker 3: also at Davo's, we heard Donald Trump talking about tariffs 160 00:08:02,880 --> 00:08:06,600 Speaker 3: and differences over regulation with the European Union. How does 161 00:08:06,640 --> 00:08:09,720 Speaker 3: that complicate joint efforts to say counter China. 162 00:08:11,040 --> 00:08:13,760 Speaker 9: Well, you know, with trusted allies and partners, you can 163 00:08:13,800 --> 00:08:16,400 Speaker 9: also be really honest and they are honest conversations going 164 00:08:16,440 --> 00:08:20,000 Speaker 9: on about what it takes to work together and to 165 00:08:20,080 --> 00:08:24,040 Speaker 9: be effective economically, to be effective technologically in order to 166 00:08:24,080 --> 00:08:28,720 Speaker 9: compete against China. And the innovation first approach is really 167 00:08:28,720 --> 00:08:31,360 Speaker 9: interesting because the opposite of that, the alternative to that, 168 00:08:31,480 --> 00:08:34,520 Speaker 9: is a regulatory first approach. We've seen what happens with that. 169 00:08:34,720 --> 00:08:35,600 Speaker 7: Just look at Europe. 170 00:08:35,840 --> 00:08:38,320 Speaker 9: The report that Mario Dragi release just a few months 171 00:08:38,360 --> 00:08:41,760 Speaker 9: ago outlined how painful it's become for Europe. They have 172 00:08:41,800 --> 00:08:45,679 Speaker 9: to pay eight hundred billion dollars a year just to 173 00:08:45,760 --> 00:08:48,640 Speaker 9: catch up in terms of tech competitives. In fifty years, 174 00:08:48,640 --> 00:08:52,400 Speaker 9: they haven't created a single company that's got greater than 175 00:08:52,559 --> 00:08:55,080 Speaker 9: one hundred billion dollar market cap. All of their unicorns, 176 00:08:55,080 --> 00:08:57,600 Speaker 9: a third of their unicorns are fleeing the EU. So 177 00:08:58,480 --> 00:09:01,559 Speaker 9: we have to change that because the Europeans, our friends 178 00:09:01,559 --> 00:09:03,960 Speaker 9: in the Indo Pacific, Latin America, all across the world 179 00:09:04,000 --> 00:09:05,680 Speaker 9: are really important partner. So we need to be on 180 00:09:05,720 --> 00:09:07,800 Speaker 9: the same page in terms of how we power innovation 181 00:09:08,840 --> 00:09:11,320 Speaker 9: at the same time we are powering oternational security. 182 00:09:12,120 --> 00:09:15,960 Speaker 4: Michelle, it's interesting that the previous administration, in the last 183 00:09:16,040 --> 00:09:19,320 Speaker 4: days of the Biden administration, did put some pretty tough 184 00:09:19,400 --> 00:09:22,840 Speaker 4: focus on Nvidia, for example. Then it's a bitity to export, 185 00:09:22,880 --> 00:09:25,559 Speaker 4: particularly to China. How much might that hinders some of 186 00:09:25,600 --> 00:09:28,480 Speaker 4: the very successful companies here in the United States with 187 00:09:28,559 --> 00:09:30,120 Speaker 4: the ongoing geopolitical tension. 188 00:09:31,440 --> 00:09:35,600 Speaker 9: Yeah, I think we'll see some developments with the new 189 00:09:35,640 --> 00:09:38,400 Speaker 9: Trump administration on where they're going with export controls. Well, 190 00:09:38,440 --> 00:09:41,240 Speaker 9: remember that started under the first administration was carried forward 191 00:09:41,240 --> 00:09:42,720 Speaker 9: by the Biden administration. 192 00:09:42,840 --> 00:09:44,040 Speaker 7: We'll see where that goes. 193 00:09:44,080 --> 00:09:46,599 Speaker 9: But I think you can tell that this administration is 194 00:09:46,760 --> 00:09:50,480 Speaker 9: very focused on innovation and national security at the same time. 195 00:09:50,520 --> 00:09:53,680 Speaker 9: So we've got a bolster us and allied innovation and 196 00:09:53,760 --> 00:09:56,640 Speaker 9: leadership so that we win and our values are represented 197 00:09:56,640 --> 00:09:59,880 Speaker 9: in technology. At the same time, we can also protect 198 00:10:00,160 --> 00:10:03,520 Speaker 9: national security. And as President Trump said in his inaugural address, 199 00:10:03,800 --> 00:10:06,200 Speaker 9: America can do the impossible. It's what we do. And 200 00:10:06,240 --> 00:10:08,960 Speaker 9: to balance those two things with our allies. I think 201 00:10:08,960 --> 00:10:10,600 Speaker 9: we're headed on a trajectory toward that. 202 00:10:10,720 --> 00:10:11,520 Speaker 2: But it takes time. 203 00:10:12,040 --> 00:10:14,640 Speaker 4: These one hundred billion dollars of investment up to five 204 00:10:14,720 --> 00:10:18,080 Speaker 4: hundred billion dollars can't go into the ground immediately to 205 00:10:18,120 --> 00:10:21,040 Speaker 4: start getting data centers up and running. It takes years, 206 00:10:21,360 --> 00:10:24,600 Speaker 4: and yet we might see an impact on goods coming 207 00:10:24,600 --> 00:10:26,240 Speaker 4: from China in months. 208 00:10:26,600 --> 00:10:29,200 Speaker 2: Is that a key issue? Is that a national security risk? 209 00:10:30,600 --> 00:10:34,439 Speaker 9: Well, I think this administration has signaled that this all 210 00:10:34,480 --> 00:10:36,640 Speaker 9: needs to happen as fast as possible. They've used the 211 00:10:36,679 --> 00:10:41,520 Speaker 9: word unleash many times, unleashing American energy, unleashing American innovation, 212 00:10:41,720 --> 00:10:45,480 Speaker 9: declaring an energy emergency in order to really catalyze and 213 00:10:45,520 --> 00:10:47,920 Speaker 9: accelerate what we're doing there, We're going to need so 214 00:10:48,080 --> 00:10:52,000 Speaker 9: much more energy to power these data centers that power ai. 215 00:10:52,720 --> 00:10:55,319 Speaker 9: Open Ai and Goldman Sacks I think had estimate it. 216 00:10:55,360 --> 00:10:59,199 Speaker 9: We're going to need fifty gegawatts of new incremental energy. 217 00:10:59,200 --> 00:11:00,080 Speaker 10: In order to do that. 218 00:11:00,080 --> 00:11:02,640 Speaker 9: We're dusting off all nuclear power plants, so you're right, 219 00:11:02,760 --> 00:11:05,840 Speaker 9: that has to happen really fast. And the great part 220 00:11:05,880 --> 00:11:08,000 Speaker 9: is that we've got private sector companies now on board 221 00:11:08,000 --> 00:11:09,560 Speaker 9: that are going to turbo charge our effort. 222 00:11:10,720 --> 00:11:12,240 Speaker 4: Chere, Geida, It's always great to have you on the 223 00:11:12,320 --> 00:11:15,160 Speaker 4: crowd Institute for Tech Topoonmacy at Perdu, we thank you. 224 00:11:15,640 --> 00:11:16,040 Speaker 2: Coming up. 225 00:11:16,080 --> 00:11:18,280 Speaker 4: Look, open ai is joining a growing number of tech 226 00:11:18,280 --> 00:11:20,880 Speaker 4: companies bending on so called AI agents. We're going to 227 00:11:20,880 --> 00:11:24,240 Speaker 4: talk about what Operator is capable of and some of 228 00:11:24,280 --> 00:11:40,560 Speaker 4: the concerns. This is blue Meg technology. Let's turn to 229 00:11:40,559 --> 00:11:43,199 Speaker 4: the latest product out of open Ai, the startup launching 230 00:11:43,520 --> 00:11:44,640 Speaker 4: its AI agent. 231 00:11:45,080 --> 00:11:47,480 Speaker 2: Of course, this is all regarding Operator. 232 00:11:47,920 --> 00:11:50,240 Speaker 4: Apparently it can put you flights, plan your grocery orders, 233 00:11:50,240 --> 00:11:53,360 Speaker 4: even complete purchases for users. We're joined now by bloomgg's 234 00:11:53,400 --> 00:11:56,480 Speaker 4: Rachel Metz, who I'm told is wearing some lipstick that 235 00:11:56,559 --> 00:11:57,760 Speaker 4: Operator already. 236 00:11:57,400 --> 00:11:57,800 Speaker 2: Bought for you. 237 00:11:58,880 --> 00:12:02,880 Speaker 11: This is correct. I used Operator yesterday to do a 238 00:12:02,920 --> 00:12:04,880 Speaker 11: whole bunch of different things, just trying it out really 239 00:12:04,960 --> 00:12:07,000 Speaker 11: quickly to sort of put it through its paces. One 240 00:12:07,000 --> 00:12:10,000 Speaker 11: of the things I did well, actually it relates to you. 241 00:12:10,000 --> 00:12:12,000 Speaker 11: You were wearing a nice neutral shade of lipstick a 242 00:12:12,080 --> 00:12:14,240 Speaker 11: few days ago that I happened a spot and I 243 00:12:14,280 --> 00:12:17,240 Speaker 11: asked Operator to pick out a neutral lipstick shade for 244 00:12:17,320 --> 00:12:20,920 Speaker 11: me from Sephora and purchase it. And it did, And 245 00:12:20,960 --> 00:12:22,319 Speaker 11: then I went to Sephora and picked it up and 246 00:12:22,360 --> 00:12:23,000 Speaker 11: I'm wearing it now. 247 00:12:25,000 --> 00:12:29,520 Speaker 3: Rachel. Investors have been looking for this breakthrough functionality with AI. 248 00:12:29,679 --> 00:12:31,360 Speaker 3: Are we getting any closer with this? 249 00:12:32,880 --> 00:12:34,720 Speaker 11: I think it's still a little bit tricky to tell, 250 00:12:34,760 --> 00:12:36,840 Speaker 11: but it is very clear that they're putting a lot 251 00:12:36,880 --> 00:12:39,880 Speaker 11: of time and resources into trying to figure out new 252 00:12:39,920 --> 00:12:42,760 Speaker 11: ways that they can integrate these tools into people's lives. 253 00:12:42,920 --> 00:12:46,880 Speaker 11: Operator is meant to be pretty general purpose, as you 254 00:12:46,960 --> 00:12:48,760 Speaker 11: might have noticed from the way they were positioning it. 255 00:12:49,400 --> 00:12:52,280 Speaker 11: You mentioned caroline, grocery orders. I think you might have 256 00:12:52,320 --> 00:12:55,400 Speaker 11: mentioned planning flights. These are all like different things that 257 00:12:55,440 --> 00:12:58,080 Speaker 11: the average person can totally envision doing themselves that they 258 00:12:58,160 --> 00:13:01,040 Speaker 11: might not like doing posted to some of the other 259 00:13:01,240 --> 00:13:04,040 Speaker 11: agent type software that's already out there that's more inward 260 00:13:04,120 --> 00:13:07,480 Speaker 11: things like coding. I feel like we're definitely seeing this 261 00:13:07,840 --> 00:13:10,280 Speaker 11: the idea of this at least being spread as more 262 00:13:10,320 --> 00:13:12,880 Speaker 11: of a mass market thing, even though operator is only 263 00:13:12,920 --> 00:13:15,360 Speaker 11: available to a small number of Opening Eyes users who 264 00:13:15,400 --> 00:13:17,520 Speaker 11: want to pay two hundred dollars a month for it 265 00:13:17,600 --> 00:13:19,280 Speaker 11: as part of a larger service. 266 00:13:19,320 --> 00:13:22,200 Speaker 4: Almost beta testing as it does tend to do. Rachel Metz, 267 00:13:22,400 --> 00:13:24,080 Speaker 4: great to have you, and I like the way that 268 00:13:24,160 --> 00:13:26,480 Speaker 4: you encompass that there is competition how there as well. 269 00:13:34,600 --> 00:13:36,800 Speaker 4: Welcome back to Blue Meg Technology and Caroin Hide in New. 270 00:13:36,800 --> 00:13:39,560 Speaker 3: York and I'm Mike Sheppard and Washington. 271 00:13:39,760 --> 00:13:42,640 Speaker 4: Quick check on these markets, Mike, because we are at 272 00:13:42,800 --> 00:13:44,920 Speaker 4: near record highs and that's that one hundred is up 273 00:13:44,920 --> 00:13:46,640 Speaker 4: almost two percent on the week we just pulled back. 274 00:13:46,679 --> 00:13:49,480 Speaker 4: It's chip stocks that are in focus as we underwhelm 275 00:13:49,520 --> 00:13:52,000 Speaker 4: on Texas instruments following skhinex's numbers. 276 00:13:52,280 --> 00:13:54,320 Speaker 2: But Bitcoin up two point eight percent. 277 00:13:54,400 --> 00:13:56,640 Speaker 4: Remember a flurry of executive orders that I know you've 278 00:13:56,640 --> 00:13:59,040 Speaker 4: been watching, and came among them yesterday was the AI 279 00:13:59,160 --> 00:14:01,760 Speaker 4: and the crypto order. Maybe we get some sort of 280 00:14:02,200 --> 00:14:04,079 Speaker 4: overall bitcoin reserve, but it's not. 281 00:14:04,040 --> 00:14:05,840 Speaker 2: A bitcoin reserve, it's a digital asset. 282 00:14:05,880 --> 00:14:07,559 Speaker 4: Reserve and Bitcoin took a bit of a hit yesterday, 283 00:14:07,559 --> 00:14:08,960 Speaker 4: but we're back at one hundred and six thousand. 284 00:14:09,000 --> 00:14:11,240 Speaker 2: Move on, individual names you need to keep an eye on. 285 00:14:11,280 --> 00:14:14,760 Speaker 4: We've had started the earning season and Verizon is among them. 286 00:14:14,760 --> 00:14:17,600 Speaker 4: We're currently seeing it up one one point two percent, 287 00:14:17,760 --> 00:14:19,600 Speaker 4: as they managed to beat in terms of almost half 288 00:14:19,600 --> 00:14:22,480 Speaker 4: a million being added for new phones. Tesla up a 289 00:14:22,560 --> 00:14:25,760 Speaker 4: quarter of percent. They're having to put over and over 290 00:14:25,800 --> 00:14:30,080 Speaker 4: the air update to basically technically recall Chinese cars, but 291 00:14:30,120 --> 00:14:32,560 Speaker 4: here in the US they're doing model wise. New ericson 292 00:14:32,600 --> 00:14:35,880 Speaker 4: down thirteen percent on the back of telecoms equipment not 293 00:14:35,920 --> 00:14:36,760 Speaker 4: selling as expected. 294 00:14:36,840 --> 00:14:41,560 Speaker 3: Mike Carol, Let's turn to TikTok. Now this is such 295 00:14:41,600 --> 00:14:44,520 Speaker 3: a big issue in Washington. We're joined by Frank McCord, 296 00:14:44,720 --> 00:14:48,320 Speaker 3: executive chairman of McCourt Global and founder of Project Liberty, 297 00:14:48,600 --> 00:14:51,560 Speaker 3: which had made a formal offer to acquire the social 298 00:14:51,600 --> 00:14:55,080 Speaker 3: media giant less than two weeks ago, not long before 299 00:14:55,120 --> 00:14:58,120 Speaker 3: the band deadline. Frank, I wanted to start with the 300 00:14:58,200 --> 00:15:03,160 Speaker 3: reprieve that President Donald Trump signed hours after taking office. 301 00:15:03,360 --> 00:15:06,720 Speaker 3: How has that complicated efforts by you and other bidders, 302 00:15:06,720 --> 00:15:09,560 Speaker 3: perhaps to get byt dance to come to the table 303 00:15:09,600 --> 00:15:11,320 Speaker 3: to talk about a sale. 304 00:15:11,760 --> 00:15:14,920 Speaker 7: Well, I really hasn't complicated anything from our perspective, Mike, 305 00:15:15,040 --> 00:15:20,840 Speaker 7: we just continue to, you know, chug along and we're prepared. 306 00:15:20,880 --> 00:15:21,360 Speaker 12: Here. 307 00:15:21,120 --> 00:15:23,800 Speaker 7: We're hanging around the hoops, so to speak, waiting for 308 00:15:23,840 --> 00:15:26,400 Speaker 7: Bike Dance to make a decision, and if it takes 309 00:15:26,440 --> 00:15:29,200 Speaker 7: a little bit more time, so be it. But you know, 310 00:15:29,240 --> 00:15:32,600 Speaker 7: we feel we're in a really unique position to buy 311 00:15:33,520 --> 00:15:36,560 Speaker 7: us TikTok. We're the only ones that actually put a 312 00:15:36,600 --> 00:15:40,680 Speaker 7: bid in and submitted to the Department of Justice before 313 00:15:40,720 --> 00:15:45,600 Speaker 7: the original deadline and where we were ready to roll 314 00:15:46,080 --> 00:15:49,240 Speaker 7: but for a signature from BYT Dance. So we continue 315 00:15:49,280 --> 00:15:51,680 Speaker 7: to be ready. We have more and more conversations. There's 316 00:15:51,720 --> 00:15:54,600 Speaker 7: more and more excitement around this. We had a fabulous 317 00:15:54,680 --> 00:15:57,000 Speaker 7: couple of days in Davos where there was great, great 318 00:15:57,040 --> 00:16:01,080 Speaker 7: excitement around the project. So yeah, I remain optimistic and 319 00:16:01,160 --> 00:16:03,240 Speaker 7: I think we just have to give BYT Dance time 320 00:16:03,640 --> 00:16:06,520 Speaker 7: to sort this out, but I believe they will. You're 321 00:16:06,560 --> 00:16:10,480 Speaker 7: buying us TikTok without the Chinese technology is the way forward. 322 00:16:12,080 --> 00:16:14,880 Speaker 3: What if you heard back from Byte Dance in response 323 00:16:15,040 --> 00:16:17,880 Speaker 3: to this offer, Have they been engaging much at all 324 00:16:18,120 --> 00:16:21,000 Speaker 3: and would President Donald Trump be in position to perhaps 325 00:16:21,040 --> 00:16:24,800 Speaker 3: help you get them to really get the discussions going. 326 00:16:25,960 --> 00:16:31,040 Speaker 7: Well. My hope is that President Trump can be you know, 327 00:16:31,080 --> 00:16:35,840 Speaker 7: a deal maker here and help get this deal done 328 00:16:36,080 --> 00:16:41,840 Speaker 7: by convincing by Dance to actually sell us TikTok and 329 00:16:41,920 --> 00:16:43,920 Speaker 7: not shut it down. I mean, those are the two 330 00:16:44,040 --> 00:16:50,360 Speaker 7: choices here, and by Dance themselves have been pretty silent. 331 00:16:50,440 --> 00:16:53,000 Speaker 7: I mean, they've acknowledged receipt of our offer, but I 332 00:16:53,000 --> 00:16:56,480 Speaker 7: think quite frankly, they're they're digesting everything. I think their 333 00:16:56,480 --> 00:16:59,600 Speaker 7: hope originally was relief from the Supreme Court, which they 334 00:16:59,600 --> 00:17:02,840 Speaker 7: did not get, as you well know. And now I 335 00:17:02,840 --> 00:17:05,639 Speaker 7: think they're in a new reality and so they're confronted 336 00:17:05,680 --> 00:17:10,080 Speaker 7: with a shutdown or a sale, and we believe that 337 00:17:10,119 --> 00:17:13,360 Speaker 7: a sale is the best way forward. It will keep 338 00:17:13,400 --> 00:17:16,480 Speaker 7: the app lit up and as I say, without the 339 00:17:16,560 --> 00:17:18,200 Speaker 7: Chinese technology, why not sell? 340 00:17:18,920 --> 00:17:22,040 Speaker 2: Who have you been talking to? Where's the excitement in Davos? 341 00:17:23,520 --> 00:17:27,760 Speaker 7: It's interesting. We had a little house called Future House 342 00:17:27,800 --> 00:17:32,159 Speaker 7: that on the promenade, and the promenade was lined with 343 00:17:33,800 --> 00:17:39,080 Speaker 7: different AI products being marketed and so forth. It was 344 00:17:39,119 --> 00:17:44,160 Speaker 7: the theme really of Davos this year. And Caroline our house, 345 00:17:44,240 --> 00:17:47,679 Speaker 7: Future House had a long line outside. 346 00:17:47,160 --> 00:17:49,439 Speaker 4: Of people who want to invest with you, though, Frank, 347 00:17:49,920 --> 00:17:52,639 Speaker 4: you speaking to mister Bees, for example, because he's joined 348 00:17:52,640 --> 00:17:53,960 Speaker 4: another consort him, it. 349 00:17:54,000 --> 00:17:58,760 Speaker 7: Seems well, mister Beasts has joined all consortiums, so he's 350 00:17:58,800 --> 00:18:02,919 Speaker 7: interested in keeping his his options open. I've talked to Jimmy, 351 00:18:03,280 --> 00:18:05,960 Speaker 7: others have talked to Jimmy. You've read the reports that 352 00:18:06,000 --> 00:18:09,240 Speaker 7: he has not aligned with a single bidder, But put 353 00:18:09,240 --> 00:18:13,160 Speaker 7: that aside. I think the people that were really interested 354 00:18:13,240 --> 00:18:16,080 Speaker 7: in of course, they're interested in seeing what will happen 355 00:18:16,119 --> 00:18:18,400 Speaker 7: with TikTok. But as I've said over and over again, 356 00:18:18,440 --> 00:18:22,040 Speaker 7: this is an opportunity to actually reimagine how the Internet 357 00:18:22,080 --> 00:18:26,359 Speaker 7: works and give people ownership and control of their identity 358 00:18:26,440 --> 00:18:30,320 Speaker 7: and their data and their relationships. And that's very exciting 359 00:18:30,359 --> 00:18:33,880 Speaker 7: to people, and including by the way, TikTok influencers. 360 00:18:34,080 --> 00:18:36,639 Speaker 4: And that is what sets you apart the fact that 361 00:18:36,640 --> 00:18:41,160 Speaker 4: you're building to a new tech stack basically, and a 362 00:18:41,200 --> 00:18:44,159 Speaker 4: decentralized one at that. Frank, what does it mean to 363 00:18:44,200 --> 00:18:47,520 Speaker 4: potentially work with the US government? Would you want to 364 00:18:47,560 --> 00:18:51,240 Speaker 4: have the US government also buying? In fact talking to 365 00:18:51,240 --> 00:18:52,800 Speaker 4: the US government. We're just going to have to listen 366 00:18:52,800 --> 00:18:54,879 Speaker 4: in to President Trump. Just one moment, Frank sit with us. 367 00:18:55,440 --> 00:18:57,879 Speaker 4: We were just asking you if you'd work alongside Trump. 368 00:18:58,040 --> 00:19:01,440 Speaker 4: He's thinking about potentially in the US the government owned 369 00:19:01,440 --> 00:19:02,240 Speaker 4: a piece of TikTok. 370 00:19:03,640 --> 00:19:06,760 Speaker 7: Well, yeah, we absolutely want to work alongside President Trump, 371 00:19:06,800 --> 00:19:10,399 Speaker 7: and I think he could be very, very helpful. I 372 00:19:10,400 --> 00:19:14,800 Speaker 7: do think ultimately the US TikTok is going to be 373 00:19:15,040 --> 00:19:20,560 Speaker 7: in the hands of the private sector and totally disentangled 374 00:19:20,800 --> 00:19:24,720 Speaker 7: from the Chinese technology. I think that's really clear in 375 00:19:24,800 --> 00:19:30,080 Speaker 7: the legislation and was made doubly clear. You know on 376 00:19:30,200 --> 00:19:32,679 Speaker 7: pages five and six of the Supreme Court decision that 377 00:19:33,080 --> 00:19:37,480 Speaker 7: their Congress is looking for a complete disentanglement. And that's Caroline, 378 00:19:37,520 --> 00:19:39,520 Speaker 7: which puts us in a unique position because we have 379 00:19:39,640 --> 00:19:41,520 Speaker 7: the tech stack. We've been building it for the last 380 00:19:41,560 --> 00:19:44,080 Speaker 7: five years to move the user base and the data 381 00:19:44,160 --> 00:19:45,800 Speaker 7: onto This is. 382 00:19:45,720 --> 00:19:47,480 Speaker 4: A story that will evolve. We thank you so much 383 00:19:47,480 --> 00:19:49,920 Speaker 4: for your patients. Coming on from Rome, Frank mcort, executive 384 00:19:49,960 --> 00:19:51,879 Speaker 4: Chairman of the Court Global and founder of Project Liberty. 385 00:19:51,880 --> 00:19:54,840 Speaker 4: We hope we will come back as the negotiations continue. 386 00:19:55,040 --> 00:19:58,080 Speaker 4: Let's talk about how this is impacting TikTok users and 387 00:19:58,119 --> 00:20:00,359 Speaker 4: the brands that use it. Rachel tipographs founder and CEO 388 00:20:00,440 --> 00:20:03,680 Speaker 4: make Macks, an e commance marketing platform for multi channel brams. 389 00:20:04,359 --> 00:20:07,160 Speaker 2: What did they make of a sudden going black? Did 390 00:20:07,200 --> 00:20:09,720 Speaker 2: brands pull away from spending on TikTok? It's been wild. 391 00:20:10,440 --> 00:20:14,400 Speaker 13: January eighteenth, ten pm, New York Time, we saw TikTok 392 00:20:14,440 --> 00:20:17,840 Speaker 13: brand traffic go to zero percent. It stayed that way 393 00:20:18,040 --> 00:20:22,879 Speaker 13: for fifteen hours. Traffic started to come back January nineteenth, twelve, 394 00:20:22,920 --> 00:20:26,600 Speaker 13: fifteen pm, and for about two business days it held 395 00:20:26,600 --> 00:20:29,879 Speaker 13: at zero point five percent of our traffic. In the 396 00:20:30,000 --> 00:20:33,680 Speaker 13: last two business days it has risen. It now represents 397 00:20:33,720 --> 00:20:37,040 Speaker 13: around fifteen percent of our total traffic. I've been coming 398 00:20:37,080 --> 00:20:38,359 Speaker 13: on the show now for two years. 399 00:20:38,400 --> 00:20:39,040 Speaker 2: You've heard me. 400 00:20:38,960 --> 00:20:42,480 Speaker 13: Say TikTok typically is thirty five percent of our traffic. 401 00:20:43,240 --> 00:20:46,200 Speaker 13: Based on this meteoric rise in the last two business days, 402 00:20:46,320 --> 00:20:48,480 Speaker 13: we at mcmack believe that we're going to get back 403 00:20:48,520 --> 00:20:53,720 Speaker 13: to normal rates on Monday, Rachel. 404 00:20:53,760 --> 00:20:56,919 Speaker 3: What is the fallout for businesses that are tied in 405 00:20:56,960 --> 00:20:59,919 Speaker 3: some way or another to TikTok from all the uncertainty 406 00:21:00,520 --> 00:21:04,879 Speaker 3: surrounding whether will continue, whether there will be a purchaser. 407 00:21:05,359 --> 00:21:08,560 Speaker 13: Yeah, so I think the delta between fifteen and thirty 408 00:21:08,560 --> 00:21:11,680 Speaker 13: five percent is essentially all those fortune one thousand brands 409 00:21:11,960 --> 00:21:15,000 Speaker 13: that are feeling very skittish right now with the uncertainty 410 00:21:15,040 --> 00:21:17,200 Speaker 13: and who's going to be the new parent owner as 411 00:21:17,200 --> 00:21:19,000 Speaker 13: well as just the overall view right now of the 412 00:21:19,040 --> 00:21:22,080 Speaker 13: Supreme Court. They don't want to be held liable and 413 00:21:22,119 --> 00:21:25,359 Speaker 13: typically they're spending hundreds of millions of dollars on that platform. 414 00:21:25,680 --> 00:21:28,040 Speaker 13: So there is a large set right now of the 415 00:21:28,080 --> 00:21:31,600 Speaker 13: fortune one thousand brands that are just waiting to see 416 00:21:31,720 --> 00:21:32,560 Speaker 13: what the outcome is. 417 00:21:32,560 --> 00:21:35,240 Speaker 4: Going to be, make sure they have to make decisions 418 00:21:35,280 --> 00:21:37,320 Speaker 4: and whey to allocate right now, we're just seeing some 419 00:21:37,359 --> 00:21:37,920 Speaker 4: of your data. 420 00:21:37,960 --> 00:21:38,560 Speaker 2: Who's winning? 421 00:21:38,760 --> 00:21:42,000 Speaker 13: Yeah, So these brands, they're heavily reliant obviously on their 422 00:21:42,040 --> 00:21:45,040 Speaker 13: marketing budgets. It's how they drive demand generation and sales. 423 00:21:45,560 --> 00:21:48,960 Speaker 13: So in the last I would say two weeks, we 424 00:21:49,080 --> 00:21:52,200 Speaker 13: have watched spend move out of TikTok as well as Meta. 425 00:21:52,240 --> 00:21:55,960 Speaker 13: We can circle back on that into Alphabet, which is 426 00:21:56,080 --> 00:22:00,639 Speaker 13: paid search, YouTube, DV three sixty and pinterest. The reason 427 00:22:00,720 --> 00:22:04,560 Speaker 13: why is that brands are looking for reach, conversion and 428 00:22:04,680 --> 00:22:09,800 Speaker 13: brand safety. Alphabet absolutely delivers on reach and conversion. They've 429 00:22:09,840 --> 00:22:12,639 Speaker 13: made enormous efforts around brand safety since all of the 430 00:22:12,760 --> 00:22:16,560 Speaker 13: challenges YouTube had in twenty twelve, and then Pinterest. I've 431 00:22:16,600 --> 00:22:18,159 Speaker 13: been on the show, I talked about it. It's a 432 00:22:18,240 --> 00:22:21,280 Speaker 13: dark horse that no one talks about. It's the safest 433 00:22:21,280 --> 00:22:24,040 Speaker 13: place on the Internet and brands are moving dollars there 434 00:22:24,080 --> 00:22:27,280 Speaker 13: because Pinterest can drive conversion as well. So the big 435 00:22:27,320 --> 00:22:31,320 Speaker 13: winners are Alphabet and Pinterest. The reason why we've also 436 00:22:31,359 --> 00:22:33,960 Speaker 13: seen a decline in meta traffic in the month of 437 00:22:34,080 --> 00:22:37,680 Speaker 13: January has everything to do with the announcement Zuckerberg made 438 00:22:37,720 --> 00:22:40,159 Speaker 13: two and a half weeks ago when he announced that 439 00:22:40,240 --> 00:22:42,520 Speaker 13: fact checking was going to be removed from the platform. 440 00:22:42,960 --> 00:22:47,320 Speaker 13: Brands once again fell skittish. Brands care about their long 441 00:22:47,400 --> 00:22:50,880 Speaker 13: term brand equity, their brand safety, and whenever a platform 442 00:22:50,920 --> 00:22:54,560 Speaker 13: becomes political, they reallocate dollars to platforms that they have 443 00:22:54,640 --> 00:22:56,600 Speaker 13: more confidence in their brand safety. 444 00:22:58,440 --> 00:23:02,040 Speaker 3: Rachel, we were just talking to a prospective bidder for TikTok. 445 00:23:02,080 --> 00:23:05,399 Speaker 3: What does all this churn mean for its value and 446 00:23:05,560 --> 00:23:07,200 Speaker 3: perhaps ultimate purchase price. 447 00:23:08,480 --> 00:23:11,679 Speaker 13: I'm personally skeptical of what's going to happen with this 448 00:23:11,800 --> 00:23:15,000 Speaker 13: divestiture if it goes into the hands of a new 449 00:23:15,080 --> 00:23:19,200 Speaker 13: US parent owner. TikTok is not TikTok without the algorithm. 450 00:23:19,680 --> 00:23:23,920 Speaker 13: The community is based on the app automatically pushing you 451 00:23:24,240 --> 00:23:28,800 Speaker 13: like minded people. That's what makes TikTok so magical. With 452 00:23:28,920 --> 00:23:32,360 Speaker 13: a new US parent owner, if they can't replicate the 453 00:23:32,440 --> 00:23:36,399 Speaker 13: magic of that algorithm, I know with significant confidence people 454 00:23:36,400 --> 00:23:37,640 Speaker 13: are going to move out of TikTok. 455 00:23:38,000 --> 00:23:39,600 Speaker 2: We saw it in the last two weeks. 456 00:23:39,920 --> 00:23:42,760 Speaker 13: It's so easy to build a new community in a 457 00:23:42,800 --> 00:23:45,440 Speaker 13: new app. Will be red Note, will it be blue sky, 458 00:23:45,600 --> 00:23:49,040 Speaker 13: will it be Pinterest? Only time will tell, and so 459 00:23:49,440 --> 00:23:52,320 Speaker 13: I have trepidation on what's going to happen From a 460 00:23:52,320 --> 00:23:55,560 Speaker 13: brand advertiser standpoint. They're going to go wherever eyeballs and 461 00:23:55,600 --> 00:23:59,960 Speaker 13: engagement are, so brands can move their dollars very easily. 462 00:24:00,080 --> 00:24:02,480 Speaker 13: I think we've all seen that in the month of January. 463 00:24:03,200 --> 00:24:06,440 Speaker 13: It's like trading on Wall Street media buying. You can 464 00:24:06,480 --> 00:24:08,679 Speaker 13: move a dollar from one platform to the next in 465 00:24:08,720 --> 00:24:09,320 Speaker 13: a second. 466 00:24:11,560 --> 00:24:14,880 Speaker 3: Rachel Tippograph, founder and CEO of Mick Mac, we thank 467 00:24:14,920 --> 00:24:35,280 Speaker 3: you more. Coming up next, this is Bloomberg. Now let's 468 00:24:35,280 --> 00:24:39,040 Speaker 3: talk about open Ai, SoftBank and Oracle and their plans 469 00:24:39,040 --> 00:24:41,880 Speaker 3: to open the first data center associated with the one 470 00:24:41,960 --> 00:24:45,960 Speaker 3: hundred billion dollar Stargate venture. Let's bring in Bloomberg's Brody 471 00:24:46,040 --> 00:24:48,600 Speaker 3: Ford for more Brody. There's been a lot of talk 472 00:24:48,640 --> 00:24:51,560 Speaker 3: about this project that was heralded at the White House 473 00:24:51,760 --> 00:24:55,280 Speaker 3: on Wednesday with President Donald Trump, and that included the 474 00:24:55,320 --> 00:24:58,760 Speaker 3: prospect of a lot of jobs being created. But you've 475 00:24:58,800 --> 00:25:01,840 Speaker 3: got some findings that just maybe that's not quite so. 476 00:25:03,520 --> 00:25:07,320 Speaker 12: Yeah. On Tuesday, Trump said one hundred thousand American jobs open. 477 00:25:07,359 --> 00:25:09,719 Speaker 12: AIS doubled down on that number, but we got our 478 00:25:09,760 --> 00:25:13,320 Speaker 12: hands on some documents from the government down there showing 479 00:25:13,400 --> 00:25:17,800 Speaker 12: that there is a guarantee of a whole fifty seven 480 00:25:18,160 --> 00:25:21,359 Speaker 12: full time jobs. Obviously a far cry from the one 481 00:25:21,400 --> 00:25:24,639 Speaker 12: hundred thousand range. Of course, when you build a data center, 482 00:25:24,680 --> 00:25:28,439 Speaker 12: you're going to employ thousands of construction folks. Those jobs 483 00:25:28,440 --> 00:25:30,840 Speaker 12: go away at some point, and then the people needed 484 00:25:30,840 --> 00:25:34,320 Speaker 12: to keep things running. It's this much smaller number. This 485 00:25:34,600 --> 00:25:37,840 Speaker 12: is just one project of what will likely be many, 486 00:25:38,359 --> 00:25:41,320 Speaker 12: but it certainly kind of throws a bit of water 487 00:25:41,480 --> 00:25:44,960 Speaker 12: on the idea that data center infrastructure is a massive 488 00:25:45,760 --> 00:25:48,040 Speaker 12: long term job creator for this country. 489 00:25:48,880 --> 00:25:51,800 Speaker 4: Fifty seven is so stark brody. And then we wonder 490 00:25:52,160 --> 00:25:54,920 Speaker 4: what the sixty five billion dollar capex coming from Meta 491 00:25:54,960 --> 00:25:56,520 Speaker 4: is going to mean in terms of jobs as well 492 00:25:56,560 --> 00:25:58,760 Speaker 4: as the data centers here in the US. Just thinking 493 00:25:58,800 --> 00:26:02,320 Speaker 4: about the players involved the Oracle. Now Oracle's busy also 494 00:26:02,359 --> 00:26:05,320 Speaker 4: potentially being thrown out. There is a bidder for TikTok, 495 00:26:05,359 --> 00:26:08,879 Speaker 4: but it's an infrastructure provider to TikTok, And I'm just 496 00:26:09,000 --> 00:26:12,560 Speaker 4: interested about what you're hearing in terms of supporting TikTok 497 00:26:12,680 --> 00:26:15,600 Speaker 4: when it comes to Oracle, Visa, VI, Apple, and Alphabet. 498 00:26:16,080 --> 00:26:19,360 Speaker 12: Right, we're in this interesting moment where Trump says, hey, 499 00:26:19,359 --> 00:26:22,040 Speaker 12: it's cool, keep working with TikTok. We're gonna figure something out. 500 00:26:22,600 --> 00:26:24,879 Speaker 12: I go on my phone. I'm an Android user. I 501 00:26:24,920 --> 00:26:28,760 Speaker 12: can't download TikTok. I already have it. Same thing with Apple. 502 00:26:29,119 --> 00:26:31,840 Speaker 12: Oracle says, hey, you're paying us a lot of money 503 00:26:31,880 --> 00:26:34,360 Speaker 12: to run your servers. We're gonna keep doing it, right, 504 00:26:35,160 --> 00:26:37,560 Speaker 12: And so we had some exclusive details on that today 505 00:26:37,600 --> 00:26:40,680 Speaker 12: that going back even to twenty twenty one twenty twenty two, 506 00:26:41,240 --> 00:26:44,639 Speaker 12: TikTok was one of the most important early customers for 507 00:26:44,680 --> 00:26:46,840 Speaker 12: Oracle's cloud. I mean, this is really kind of like 508 00:26:47,000 --> 00:26:49,359 Speaker 12: close to their heart as it relates to them becoming 509 00:26:49,400 --> 00:26:52,480 Speaker 12: a major infrastructure provider. Like you know, we found that 510 00:26:52,520 --> 00:26:55,119 Speaker 12: they had special code names for TikTok. They called it 511 00:26:55,200 --> 00:26:58,000 Speaker 12: talysis internally because it was so top secret. And so, 512 00:26:58,600 --> 00:27:00,360 Speaker 12: I mean, this is a big business line and they're 513 00:27:00,400 --> 00:27:02,360 Speaker 12: not going to want to turn that off unless they 514 00:27:02,600 --> 00:27:03,439 Speaker 12: really have to. 515 00:27:04,200 --> 00:27:05,440 Speaker 3: Bloomberg's party forward. 516 00:27:05,720 --> 00:27:07,240 Speaker 10: Thank you, Cara, thank you. 517 00:27:08,080 --> 00:27:10,080 Speaker 4: Yeah, Mike, it's time for talking tech and first art, 518 00:27:10,119 --> 00:27:12,679 Speaker 4: we're looking at shares a Twilio as you see surging today. 519 00:27:12,800 --> 00:27:15,560 Speaker 4: The company reported preliminary fourth quarter revenue growth at top 520 00:27:15,640 --> 00:27:19,120 Speaker 4: down assessments. The software maker also announcing its Investor Day 521 00:27:19,320 --> 00:27:22,560 Speaker 4: that it authorizes a two billion dollar shareback pil plan 522 00:27:22,880 --> 00:27:25,280 Speaker 4: plus data Bricks said it has raised more than fifteen 523 00:27:25,320 --> 00:27:28,320 Speaker 4: billion dollars in funding from investors include Meta and Countries 524 00:27:28,320 --> 00:27:30,920 Speaker 4: to Singapore and Kata. The software maker now holds a 525 00:27:31,000 --> 00:27:33,080 Speaker 4: valuation of sixty two billion dollars and says it plans 526 00:27:33,080 --> 00:27:36,560 Speaker 4: to use a financing for investments, acquisitions, and international expansion. 527 00:27:37,160 --> 00:27:39,679 Speaker 4: And shares of American Express, as you see, just trading 528 00:27:39,720 --> 00:27:42,200 Speaker 4: off of their record highs today, at least the credit 529 00:27:42,240 --> 00:27:45,160 Speaker 4: card company reporting fourth quarter expenses that were somewhat higher 530 00:27:45,160 --> 00:27:47,840 Speaker 4: than expected, even as profits increased twelve percent, with higher 531 00:27:47,840 --> 00:27:50,800 Speaker 4: than expected spending during the holidays. I talked with the 532 00:27:50,800 --> 00:27:54,119 Speaker 4: CEOC squery and he's still committed to tech spending. He 533 00:27:54,160 --> 00:27:56,080 Speaker 4: says that the business is becoming more and more digital 534 00:27:56,080 --> 00:27:58,720 Speaker 4: and automated. We continue to invest in tech in a 535 00:27:58,760 --> 00:28:03,560 Speaker 4: big way. Now, coming up, how YouTubers have propelled Trump 536 00:28:03,680 --> 00:28:04,960 Speaker 4: to a second presidency. 537 00:28:05,400 --> 00:28:06,080 Speaker 2: We're on that story. 538 00:28:06,119 --> 00:28:31,280 Speaker 10: Next, this is Bluemad technology. 539 00:28:21,520 --> 00:28:23,600 Speaker 4: Breaking news on Apple from our own Mark German. And 540 00:28:23,600 --> 00:28:26,200 Speaker 4: this coming so we understand that a key executive, Kim 541 00:28:26,200 --> 00:28:29,760 Speaker 4: of woraf company veteran, will be moving to help whip 542 00:28:30,000 --> 00:28:33,480 Speaker 4: the area of AI and Siri into shape. Vorath is 543 00:28:33,480 --> 00:28:35,720 Speaker 4: a vice president and she's in charge at the moment 544 00:28:35,720 --> 00:28:38,120 Speaker 4: of program management. She's since moved to the AI and 545 00:28:38,160 --> 00:28:41,200 Speaker 4: Machine Learning division, according to people with knowledge of the matter, 546 00:28:41,680 --> 00:28:46,480 Speaker 4: top deputy therefore to the AI chief John Gandriaria. And 547 00:28:46,640 --> 00:28:48,840 Speaker 4: all of this is as we understand, the people are 548 00:28:48,880 --> 00:28:52,160 Speaker 4: not publicly announcing it, but being ulstering the AI vision 549 00:28:52,200 --> 00:28:54,920 Speaker 4: of Apple, which many feel has been behind some of 550 00:28:54,920 --> 00:28:56,160 Speaker 4: those technology peers. 551 00:28:56,520 --> 00:28:58,440 Speaker 2: Let's talk about a peer alphabet. 552 00:28:58,640 --> 00:29:01,320 Speaker 4: Let's talk about YouTube because we want to do a 553 00:29:01,360 --> 00:29:04,480 Speaker 4: deep dive now into the role played by some key 554 00:29:05,040 --> 00:29:09,000 Speaker 4: YouTubers in particular some of the podcast makers that we 555 00:29:09,120 --> 00:29:13,320 Speaker 4: understand and potentially helped propel the second administration of Trump. 556 00:29:13,520 --> 00:29:15,200 Speaker 4: We want to get to Davey Alba, who has done 557 00:29:15,200 --> 00:29:18,840 Speaker 4: an absolute beautiful deep dive for our big take on 558 00:29:18,920 --> 00:29:19,360 Speaker 4: all of this. 559 00:29:19,560 --> 00:29:21,600 Speaker 2: And Davey just talked to us a little. 560 00:29:21,360 --> 00:29:23,720 Speaker 4: Bit about why you were first interested in the likes 561 00:29:23,720 --> 00:29:26,040 Speaker 4: of Joe Rogan and the role they played via YouTube. 562 00:29:27,080 --> 00:29:31,360 Speaker 6: Yeah, of course, you know, we started to realize that 563 00:29:31,840 --> 00:29:36,360 Speaker 6: the power centers in media and tech were really shifting, 564 00:29:36,560 --> 00:29:40,720 Speaker 6: and I think you know, seeing Joe Rogan be at 565 00:29:40,720 --> 00:29:44,840 Speaker 6: the inauguration and actually in the Capitol rotunda over the 566 00:29:44,880 --> 00:29:50,680 Speaker 6: past weekend is really symbolic of the shifting media landscape. 567 00:29:51,120 --> 00:29:55,160 Speaker 6: We wanted to understand what kind of power he had 568 00:29:55,440 --> 00:29:59,160 Speaker 6: and the messages that he and a cohort of other 569 00:29:59,600 --> 00:30:04,800 Speaker 6: podcast masters who are wildly popular onto what they put out. 570 00:30:05,240 --> 00:30:09,360 Speaker 6: So we started to listen to these podcasts and ended 571 00:30:09,440 --> 00:30:15,240 Speaker 6: up analyzing almost thirteen hundred hours of footage. 572 00:30:14,720 --> 00:30:17,200 Speaker 4: Two thousand YouTube videos. Is what you watched over the 573 00:30:17,280 --> 00:30:19,600 Speaker 4: last two years? How similar? How's the messaging been? 574 00:30:19,720 --> 00:30:26,360 Speaker 6: Briefly, the messages have been extremely similar. There are overlapping 575 00:30:26,440 --> 00:30:30,600 Speaker 6: talking points and the way the podcasters painted a picture 576 00:30:30,600 --> 00:30:33,440 Speaker 6: of America was that it's in a desperate place with 577 00:30:33,560 --> 00:30:38,240 Speaker 6: soaring inflation, migrant streaming across the border. You know, public 578 00:30:38,280 --> 00:30:42,680 Speaker 6: schools have gone too far with their gender policies, and 579 00:30:44,280 --> 00:30:47,760 Speaker 6: it's just stunning to see how often these messages are 580 00:30:47,760 --> 00:30:51,840 Speaker 6: repeated and the fact that this became more political as 581 00:30:51,960 --> 00:30:53,720 Speaker 6: the election neared. 582 00:30:54,200 --> 00:30:57,240 Speaker 4: Dave Alba, it's a must read. We urge our viewers 583 00:30:57,280 --> 00:30:58,640 Speaker 4: to go and see it. But that does it for 584 00:30:58,680 --> 00:31:00,960 Speaker 4: this edition of Blue Bag Technology. Don't forget to check 585 00:31:00,960 --> 00:31:06,200 Speaker 4: out our podcast, This is Bloomberg Technology.