1 00:00:02,520 --> 00:00:09,520 Speaker 1: Bloomberg Audio Studios, podcasts, radio news from the heart of 2 00:00:09,600 --> 00:00:15,320 Speaker 1: where innovation, money and power collide in Silicon Valley and beyond. 3 00:00:15,760 --> 00:00:20,560 Speaker 1: This is Bloomberg Technology with Caroline Hyde and Ed Ludlow. 4 00:00:34,520 --> 00:00:34,960 Speaker 2: Good morning. 5 00:00:35,000 --> 00:00:39,320 Speaker 3: I'm Tim Stenebeck and I'm Katie Grefeld Greifeld. It is Friday. 6 00:00:39,400 --> 00:00:42,600 Speaker 3: We're both in New York City. Welcome to Bloomberg Technology. 7 00:00:42,800 --> 00:00:45,640 Speaker 4: Coming up metas Nick Klegg steps down as president of 8 00:00:45,680 --> 00:00:48,800 Speaker 4: Global Affairs and is replaced by a longtime exec with 9 00:00:48,920 --> 00:00:51,480 Speaker 4: Republican ties ahead of Trump's second term. 10 00:00:51,640 --> 00:00:55,120 Speaker 3: Plus TikTok in focus with a lumin ban later this month, 11 00:00:55,240 --> 00:00:56,480 Speaker 3: will the Supreme Court. 12 00:00:56,280 --> 00:00:56,920 Speaker 5: Save the day? 13 00:00:57,240 --> 00:01:00,560 Speaker 4: And China flex is its lithium dominance by planning tougher 14 00:01:00,600 --> 00:01:04,440 Speaker 4: scrutiny on next sport so technology to make battery materials. 15 00:01:04,680 --> 00:01:07,360 Speaker 4: All that and more over the next hour on Bloomberg Technology. 16 00:01:07,360 --> 00:01:11,520 Speaker 4: First though, a check on the markets. Megamp tech right 17 00:01:11,560 --> 00:01:14,119 Speaker 4: now driving stocks hire today. Look at that the NASZAQ 18 00:01:14,120 --> 00:01:17,880 Speaker 4: one hundred doll a full percentage point eighty six stocks higher, 19 00:01:18,200 --> 00:01:22,720 Speaker 4: led by Nvidia, Tesla, Amazon, Microsoft. On the downside, we 20 00:01:22,800 --> 00:01:25,560 Speaker 4: got Apple lower again. We're going to be speaking with 21 00:01:25,680 --> 00:01:27,959 Speaker 4: Ryan Vestelica in just a few minutes on the company's 22 00:01:27,959 --> 00:01:31,000 Speaker 4: longest losing streak since November, down more than six percent 23 00:01:31,040 --> 00:01:33,440 Speaker 4: from that post Christmas all time high. As far as 24 00:01:33,440 --> 00:01:36,119 Speaker 4: the index go, the big question, Katie, can today's gains 25 00:01:36,120 --> 00:01:38,400 Speaker 4: hold because we saw the same thing play out yesterday 26 00:01:38,800 --> 00:01:41,880 Speaker 4: when stocks started out a little higher than closed lower. 27 00:01:42,000 --> 00:01:48,680 Speaker 3: Absolutely, yesterday was actually the worst trading day of the year. Yeah, 28 00:01:48,920 --> 00:01:49,639 Speaker 3: thank you for laughing. 29 00:01:49,760 --> 00:01:50,120 Speaker 2: You got it. 30 00:01:50,160 --> 00:01:51,760 Speaker 4: I got to check out on big quite higher by 31 00:01:51,880 --> 00:01:54,400 Speaker 4: half a percentage point right now, arising for a fourth 32 00:01:54,480 --> 00:01:56,960 Speaker 4: day in a row. Still investors pulling money from that 33 00:01:57,040 --> 00:02:00,520 Speaker 4: ibit ETF three hundred and thirty three million dollars yesterday. 34 00:02:00,560 --> 00:02:02,640 Speaker 4: That's according to data compiled by Bloomberg. 35 00:02:02,760 --> 00:02:04,960 Speaker 3: I will say that was its worst outflow ever. But 36 00:02:05,040 --> 00:02:08,560 Speaker 3: for a fifty billion dollar plus fund, it's amazing that 37 00:02:08,639 --> 00:02:11,160 Speaker 3: only three hundred million dollar counts as a record outflow. 38 00:02:11,200 --> 00:02:12,959 Speaker 5: But in any case, let's talk about. 39 00:02:12,720 --> 00:02:15,040 Speaker 3: Some individual names here, and we have to talk about 40 00:02:15,080 --> 00:02:17,639 Speaker 3: what's going on with Nvidia shares. You talk about big 41 00:02:17,720 --> 00:02:20,440 Speaker 3: tech driving the day, it's in Nvidia that is driving. 42 00:02:20,440 --> 00:02:22,760 Speaker 3: The index is higher right now, up about three and 43 00:02:22,800 --> 00:02:26,120 Speaker 3: a half percent. Not a huge move in the grand scheme. 44 00:02:26,160 --> 00:02:26,480 Speaker 5: Of life. 45 00:02:26,520 --> 00:02:29,120 Speaker 3: But that is your biggest points contributor to the S 46 00:02:29,160 --> 00:02:31,760 Speaker 3: and P five hundreds gain right now. Similar story if 47 00:02:31,800 --> 00:02:33,560 Speaker 3: you take a look at the NASAQ one hundred. 48 00:02:33,639 --> 00:02:34,639 Speaker 5: So that's some good news. 49 00:02:34,840 --> 00:02:37,040 Speaker 3: Let's talk about Apple though, because of course, Tim, you 50 00:02:37,160 --> 00:02:37,799 Speaker 3: mentioned that in. 51 00:02:37,800 --> 00:02:39,960 Speaker 5: Apple there's a lot of fears about China right now, 52 00:02:40,000 --> 00:02:40,160 Speaker 5: and you. 53 00:02:40,160 --> 00:02:42,320 Speaker 3: Can see that those fears if you take a look 54 00:02:42,320 --> 00:02:45,240 Speaker 3: at the five day chart right now, down six percent 55 00:02:45,360 --> 00:02:48,840 Speaker 3: over the last five days. That is its longest such 56 00:02:48,840 --> 00:02:53,400 Speaker 3: streak since April. So definitely a lot of concerns about Apple. 57 00:02:53,520 --> 00:02:57,239 Speaker 3: Let's talk about them all now with Ryan Vlastelica joining 58 00:02:57,320 --> 00:03:00,960 Speaker 3: us and Ryan when it comes to Apple and China fears, 59 00:03:01,000 --> 00:03:04,320 Speaker 3: of course, remember Ruter's reported on Thursday that the company 60 00:03:04,360 --> 00:03:08,040 Speaker 3: is offering discounted smartphones in China. It feels like this 61 00:03:08,120 --> 00:03:11,040 Speaker 3: has been the baarcase for a while for this company. 62 00:03:12,120 --> 00:03:13,560 Speaker 6: Yeah, good morning, thanks for having me. 63 00:03:13,600 --> 00:03:13,680 Speaker 5: So. 64 00:03:13,720 --> 00:03:16,600 Speaker 7: Yeah, China is a major market for Apple, no surprise 65 00:03:16,639 --> 00:03:19,320 Speaker 7: about that. And the latest data on you know, monthly 66 00:03:19,400 --> 00:03:22,639 Speaker 7: sales and shipments of iPhones in the country, you know. 67 00:03:22,600 --> 00:03:23,560 Speaker 2: Have been sort of muted. 68 00:03:23,680 --> 00:03:25,640 Speaker 7: Is sort of just sort of the overall takeaway and 69 00:03:25,680 --> 00:03:28,919 Speaker 7: given just the size of that market, given the importance 70 00:03:28,960 --> 00:03:31,200 Speaker 7: of the iPhone sixteen, which is of course the first 71 00:03:31,200 --> 00:03:33,680 Speaker 7: one to have AI features, the fact that that is 72 00:03:33,720 --> 00:03:36,040 Speaker 7: being met with some you know, weak sales data out 73 00:03:36,040 --> 00:03:38,080 Speaker 7: of China, that's a little bit of a cause for concern, 74 00:03:38,240 --> 00:03:40,840 Speaker 7: especially when you're looking at a backdrop that could have 75 00:03:41,320 --> 00:03:45,560 Speaker 7: elevated terraf risks, you know, slower growth potential and just 76 00:03:46,040 --> 00:03:48,280 Speaker 7: whole you know, general list of concerns out there. So 77 00:03:48,280 --> 00:03:50,200 Speaker 7: the fact that you're seeing weakness in China is certainly 78 00:03:50,200 --> 00:03:52,400 Speaker 7: just a reason for people to start the year off 79 00:03:52,400 --> 00:03:54,840 Speaker 7: on a little bit of a more cautious note, especially 80 00:03:54,840 --> 00:03:57,640 Speaker 7: given how strong it performed going into the you know, 81 00:03:57,680 --> 00:03:58,720 Speaker 7: the end of twenty twenty four. 82 00:03:58,800 --> 00:04:01,000 Speaker 4: I feel like this is how we started last year, Ryan, 83 00:04:01,040 --> 00:04:03,680 Speaker 4: with all these concerns about China, and then Apple just 84 00:04:03,720 --> 00:04:05,280 Speaker 4: you know, hit it out of the park, as it 85 00:04:05,320 --> 00:04:07,320 Speaker 4: does seemingly all the time. 86 00:04:07,680 --> 00:04:10,360 Speaker 7: What's going on here, Well, you certainly have plenty of 87 00:04:10,360 --> 00:04:12,360 Speaker 7: reasons for people to be optimistic, because you do have 88 00:04:12,400 --> 00:04:16,000 Speaker 7: this sort of long term story of AI entering the iPhone, 89 00:04:16,520 --> 00:04:19,760 Speaker 7: you know, more applications being released with AI features. That's 90 00:04:19,760 --> 00:04:21,400 Speaker 7: something that's going to be playing out over the course 91 00:04:21,440 --> 00:04:23,440 Speaker 7: of not only twenty twenty five, but you know, twenty 92 00:04:23,440 --> 00:04:25,600 Speaker 7: twenty six and twenty twenty seven, and it's likely we'll 93 00:04:25,600 --> 00:04:28,120 Speaker 7: start to see more upgrades over time. So that's something 94 00:04:28,120 --> 00:04:31,640 Speaker 7: for people to be optimistic about. AI probably means higher 95 00:04:31,680 --> 00:04:34,640 Speaker 7: services growth or maybe more cloud growth. There's all kinds 96 00:04:34,680 --> 00:04:36,400 Speaker 7: of potential tail ones associated with it. 97 00:04:36,480 --> 00:04:37,720 Speaker 6: But just for the time. 98 00:04:37,600 --> 00:04:39,919 Speaker 7: Being, given you have such a major market out there 99 00:04:40,080 --> 00:04:42,560 Speaker 7: seeing a little bit of a shakiness, it's probably not surprising, 100 00:04:42,960 --> 00:04:45,840 Speaker 7: you know, can as people continue to wonder about what 101 00:04:45,920 --> 00:04:47,800 Speaker 7: is Apple's overall growth rate going to be? Is it 102 00:04:47,800 --> 00:04:49,880 Speaker 7: going to be as strong at other names within big tech? 103 00:04:49,920 --> 00:04:53,320 Speaker 7: How does evaluation look relative to other names within big tech? 104 00:04:53,560 --> 00:04:56,400 Speaker 7: Just reasons maybe again for people maybe to be easing 105 00:04:56,440 --> 00:04:58,080 Speaker 7: off a little bit in the first days of the year. 106 00:04:58,240 --> 00:05:01,200 Speaker 2: Bloomberg's Ryan Bostelica, thanks so much. Appreciate it. 107 00:05:01,520 --> 00:05:04,279 Speaker 4: For more on the broader tech market, Mark Mahaney, Evercore 108 00:05:04,320 --> 00:05:08,200 Speaker 4: ISI Senior Managing director joins us now Mark good as 109 00:05:08,240 --> 00:05:09,440 Speaker 4: always to see you. 110 00:05:09,839 --> 00:05:11,560 Speaker 2: Nazak one hundred last. 111 00:05:11,400 --> 00:05:14,440 Speaker 4: Year, up by close to twenty five percent in twenty 112 00:05:14,440 --> 00:05:17,960 Speaker 4: twenty three, high by more than fifty percent. The tech 113 00:05:17,960 --> 00:05:21,320 Speaker 4: stocks that you follow still room to run higher in 114 00:05:21,360 --> 00:05:22,120 Speaker 4: twenty twenty five. 115 00:05:24,560 --> 00:05:25,080 Speaker 6: I think so. 116 00:05:25,200 --> 00:05:27,719 Speaker 8: But look the setup here, as we were in a 117 00:05:27,960 --> 00:05:30,719 Speaker 8: two and a half years into a major bull market. 118 00:05:32,040 --> 00:05:34,400 Speaker 8: It started in the middle of twenty twenty two after 119 00:05:34,440 --> 00:05:38,640 Speaker 8: we'd had this shock of this dramatic ramp in interest rates, 120 00:05:39,120 --> 00:05:41,200 Speaker 8: and since then tech stocks have done really nothing but 121 00:05:41,680 --> 00:05:45,520 Speaker 8: go up. At some point that'll fade, and I think 122 00:05:45,520 --> 00:05:47,280 Speaker 8: it'll face start fading this year. I don't think you'll 123 00:05:47,279 --> 00:05:50,000 Speaker 8: have the outperformance going into this year's you had the 124 00:05:50,040 --> 00:05:52,120 Speaker 8: last two years. Maybe that's an easy statement to make. 125 00:05:52,279 --> 00:05:53,880 Speaker 8: I look at the fundamentals of the group. I look 126 00:05:53,920 --> 00:05:56,600 Speaker 8: at the Internet names, and I look at online retail, 127 00:05:56,800 --> 00:06:01,600 Speaker 8: online travel, cloud computingising, and I think the growth rates 128 00:06:01,640 --> 00:06:04,240 Speaker 8: there are relatively sustainable. All of the checks we had 129 00:06:04,279 --> 00:06:06,159 Speaker 8: at the end of last year going in the beginning 130 00:06:06,200 --> 00:06:09,720 Speaker 8: of this year have been relatively constructive. We also had 131 00:06:09,760 --> 00:06:13,000 Speaker 8: record high margins, and I think those margins are largely 132 00:06:13,080 --> 00:06:15,159 Speaker 8: sustainable because I think the sector as a whole is 133 00:06:15,240 --> 00:06:18,719 Speaker 8: just being more judicious about headcount ads than they were 134 00:06:19,000 --> 00:06:20,920 Speaker 8: in the past. And I do think the third factor 135 00:06:20,960 --> 00:06:22,760 Speaker 8: here is this Ai jen Ai. I think it's a 136 00:06:22,760 --> 00:06:24,599 Speaker 8: gift that keeps on is going to keep on giving 137 00:06:24,640 --> 00:06:27,960 Speaker 8: for quite some time. It just leads to more efficient processes, 138 00:06:28,080 --> 00:06:30,719 Speaker 8: better revenue streams, etc. So there's a couple of reasons 139 00:06:30,760 --> 00:06:34,640 Speaker 8: to stay fundamentally constructive. I just there's very little dislocation. 140 00:06:34,760 --> 00:06:37,239 Speaker 8: There's very little. Very few of the major tech stocks 141 00:06:37,240 --> 00:06:40,000 Speaker 8: that I look at really look dislocated. The one that 142 00:06:40,040 --> 00:06:42,039 Speaker 8: I really like here that I think is is Uber. 143 00:06:42,560 --> 00:06:45,320 Speaker 3: Well, talk to us about that because ubert it's so 144 00:06:45,600 --> 00:06:48,960 Speaker 3: dominant compared to Lift, but the fact that it hasn't 145 00:06:48,960 --> 00:06:52,119 Speaker 3: exactly kept up with some of the other Internet large 146 00:06:52,120 --> 00:06:54,480 Speaker 3: cap names that you cover that have seen the really 147 00:06:54,560 --> 00:06:59,000 Speaker 3: dramatic multiple expansion. What is the bowl case for Uber 148 00:06:59,040 --> 00:06:59,559 Speaker 3: going forward? 149 00:07:01,360 --> 00:07:03,000 Speaker 6: Well, let me start with the barecases. 150 00:07:03,520 --> 00:07:05,320 Speaker 8: You know, you did have a slow down in mobility 151 00:07:05,320 --> 00:07:07,719 Speaker 8: bookings that's their ride share business in the back half 152 00:07:07,800 --> 00:07:11,600 Speaker 8: of last year of twenty four. And then there's really 153 00:07:11,600 --> 00:07:14,560 Speaker 8: the concern over robotaxis and whether they'll obviate the need 154 00:07:14,600 --> 00:07:17,239 Speaker 8: to ever have ride sharing networks in the future. 155 00:07:17,960 --> 00:07:19,520 Speaker 6: I mean, it's possible that that happens. 156 00:07:19,760 --> 00:07:21,600 Speaker 8: I'm taking the other side on that, But those are 157 00:07:21,640 --> 00:07:23,480 Speaker 8: the two factors that have cost the stock to correct 158 00:07:23,480 --> 00:07:26,680 Speaker 8: from like mid eighties down to sixty sixty dollars, a 159 00:07:26,680 --> 00:07:29,000 Speaker 8: pretty material correction. The stocks I look at is the 160 00:07:29,000 --> 00:07:31,040 Speaker 8: only one that's really materially corrected. But I think that 161 00:07:31,080 --> 00:07:34,239 Speaker 8: creates the opportunity because I think as the largest demand 162 00:07:34,320 --> 00:07:38,400 Speaker 8: aggregator out there, I think that robotaxis will find a 163 00:07:38,440 --> 00:07:41,080 Speaker 8: place on ubers network. We got two cities Austin in 164 00:07:41,160 --> 00:07:45,160 Speaker 8: Atlanta where we're going to see Weimo robotaxis on ubers network. 165 00:07:45,200 --> 00:07:47,080 Speaker 8: And my guess is that you know, I'm a big 166 00:07:47,080 --> 00:07:50,600 Speaker 8: fan of robotaxis here and of Weimo here in San Francisco, 167 00:07:51,000 --> 00:07:52,800 Speaker 8: and I think you're going to see more competition in 168 00:07:52,840 --> 00:07:54,960 Speaker 8: that space in the future, and I think you'll see 169 00:07:55,000 --> 00:07:57,960 Speaker 8: more of those cars on Uber's network. And evidence that 170 00:07:58,000 --> 00:08:00,040 Speaker 8: they will be on Uber's network is the catalyst on 171 00:08:00,120 --> 00:08:00,560 Speaker 8: the shares. 172 00:08:00,800 --> 00:08:01,000 Speaker 9: Well. 173 00:08:01,040 --> 00:08:02,520 Speaker 3: I've never been in a way though, but I'll be 174 00:08:02,560 --> 00:08:03,840 Speaker 3: in sanfor in about two weeks. 175 00:08:03,840 --> 00:08:05,800 Speaker 2: Should do it. It's awesome. Yeah, it's so cool. 176 00:08:05,880 --> 00:08:09,239 Speaker 3: I have a real fear of my own mortality, so well, 177 00:08:09,240 --> 00:08:11,120 Speaker 3: we'll put a pin in that. But in any case, Mark, 178 00:08:11,120 --> 00:08:12,680 Speaker 3: I'm taking a look at your notes. 179 00:08:13,160 --> 00:08:13,920 Speaker 5: You mentioned. 180 00:08:13,960 --> 00:08:17,280 Speaker 3: Of course those dislocated high quality stocks. Uber is among them, 181 00:08:17,640 --> 00:08:20,800 Speaker 3: so is ARABNB so is Alphabet, And that caught my 182 00:08:20,840 --> 00:08:23,559 Speaker 3: attention because Alphabet is in a bit of a different 183 00:08:23,640 --> 00:08:27,240 Speaker 3: league than the airbnbs and the ubers of this market. 184 00:08:28,680 --> 00:08:32,040 Speaker 8: Well Google, I would say that Google at one sixty 185 00:08:32,120 --> 00:08:34,800 Speaker 8: was dislocated a one ninety. I'm not sure it is, 186 00:08:35,520 --> 00:08:38,360 Speaker 8: but we've got some events coming up. There's two particular 187 00:08:38,400 --> 00:08:40,240 Speaker 8: of this is all getting out of fundamentals. This is 188 00:08:40,280 --> 00:08:44,440 Speaker 8: all regulatory. First is the DOJ's anti trust case against 189 00:08:44,640 --> 00:08:47,320 Speaker 8: Google and Google asst this in terms of its search business. 190 00:08:47,440 --> 00:08:49,640 Speaker 8: We're not going to get really great visibility into this 191 00:08:49,760 --> 00:08:52,720 Speaker 8: until August unless there's some sort of settlements, and I 192 00:08:52,720 --> 00:08:57,040 Speaker 8: think the chances of the settlements went up when we 193 00:08:57,080 --> 00:09:01,480 Speaker 8: had the US electoral results. Well, you know, that's a 194 00:09:01,600 --> 00:09:04,199 Speaker 8: very hard thing to handicap. But that's one factor out there. 195 00:09:04,400 --> 00:09:06,520 Speaker 8: And then the other one is the TikTok ban, and 196 00:09:07,240 --> 00:09:09,720 Speaker 8: you know we're days away from this band going into effect. 197 00:09:09,720 --> 00:09:09,840 Speaker 6: Now. 198 00:09:09,840 --> 00:09:12,600 Speaker 8: It's possible to get stayed. There is a provision in 199 00:09:12,640 --> 00:09:15,920 Speaker 8: the law for that. It's possible to get stayed. And 200 00:09:15,960 --> 00:09:19,320 Speaker 8: it's possible that there's some sort of force sale or 201 00:09:19,880 --> 00:09:22,920 Speaker 8: a sale of TikTok. But if there is a TikTok ban, 202 00:09:23,000 --> 00:09:25,000 Speaker 8: and I think the market is really heavily discounting this 203 00:09:25,160 --> 00:09:27,560 Speaker 8: by more than they probably should. If there is a 204 00:09:27,679 --> 00:09:30,440 Speaker 8: banning of TikTok, I think the beneficiaries of this are 205 00:09:30,480 --> 00:09:33,679 Speaker 8: going to be Google YouTube YouTube shorts okay, and reels 206 00:09:34,320 --> 00:09:34,800 Speaker 8: at meta. 207 00:09:34,920 --> 00:09:37,920 Speaker 4: Who's the bigger beneficiary if the band goes into effecting 208 00:09:38,200 --> 00:09:42,280 Speaker 4: meta platforms because of what's going on with Instagram and reels? 209 00:09:42,880 --> 00:09:43,440 Speaker 6: Yeah, I think so. 210 00:09:43,520 --> 00:09:46,400 Speaker 8: I mean, just you know, users, if you really can't, 211 00:09:46,480 --> 00:09:48,920 Speaker 8: if I can't really use TikTok like you're gonna there's 212 00:09:48,960 --> 00:09:52,680 Speaker 8: a wonderful value proposition to TikTok, and so people will 213 00:09:52,679 --> 00:09:55,720 Speaker 8: look for other short form video places. Reels is kind 214 00:09:55,760 --> 00:09:57,920 Speaker 8: of the topless, but those YouTube shorts, so just meta 215 00:09:57,960 --> 00:09:59,400 Speaker 8: by hair over Google. 216 00:09:59,440 --> 00:10:00,800 Speaker 6: But they both are beneficiaries. 217 00:10:00,880 --> 00:10:04,280 Speaker 8: And then advertisers have got these ad format's nailed, They've 218 00:10:04,320 --> 00:10:05,160 Speaker 8: got them locked in. 219 00:10:05,559 --> 00:10:07,280 Speaker 6: They can't put them on TikTok. They're going to have 220 00:10:07,280 --> 00:10:07,920 Speaker 6: to find other. 221 00:10:07,760 --> 00:10:11,040 Speaker 8: Places, and the two obvious places are Google and Meta. 222 00:10:11,720 --> 00:10:13,600 Speaker 4: What's the percentage chance mark that you think this ban 223 00:10:13,720 --> 00:10:16,520 Speaker 4: actually goes through with TikTok, I don't know. 224 00:10:17,559 --> 00:10:20,000 Speaker 8: I guess it's still a minority chance, So you know, 225 00:10:20,200 --> 00:10:22,160 Speaker 8: I don't think it's a probability. It's less than fifty 226 00:10:22,160 --> 00:10:24,720 Speaker 8: percent chance. Maybe it's twenty twenty five percent. I'm just 227 00:10:24,720 --> 00:10:26,920 Speaker 8: struck by talking with investors as a belief that there's 228 00:10:26,960 --> 00:10:29,400 Speaker 8: single digital percent chance that it goes through. But it 229 00:10:29,440 --> 00:10:30,760 Speaker 8: is the law of the land, and this is not 230 00:10:30,840 --> 00:10:33,920 Speaker 8: a First Amendment issue. I know this First Amendment aspects 231 00:10:33,960 --> 00:10:36,680 Speaker 8: to it. It's really national security, and this was this 232 00:10:36,800 --> 00:10:41,280 Speaker 8: was a pretty broad bipartisan congressional law that went into effect. 233 00:10:41,360 --> 00:10:44,360 Speaker 8: I mean that was pretty well voted on by both 234 00:10:44,360 --> 00:10:47,280 Speaker 8: Democrats and Republicans, and so you know, this is the 235 00:10:47,360 --> 00:10:49,120 Speaker 8: law of the land that's going to go into effect. 236 00:10:49,160 --> 00:10:52,160 Speaker 6: It, but who knows what happens in the next couple 237 00:10:52,200 --> 00:10:56,360 Speaker 6: of weeks. So I'm a little baffled by this. 238 00:10:56,480 --> 00:10:58,600 Speaker 8: But anyway, that's the law of land, and if it 239 00:10:58,600 --> 00:11:01,120 Speaker 8: does go into effect, it you know there's a clear 240 00:11:01,200 --> 00:11:03,880 Speaker 8: positive catalyst for both Google and Meta. 241 00:11:03,960 --> 00:11:06,600 Speaker 3: Yeah, it'll be fascinating to see how that actually shakes out. 242 00:11:06,640 --> 00:11:08,760 Speaker 3: But Mark, before we let you go, when it comes 243 00:11:08,800 --> 00:11:12,000 Speaker 3: to TikTok and potential beneficiaries of a band, we were 244 00:11:12,000 --> 00:11:14,000 Speaker 3: actually talking about this in one of our morning meetings, 245 00:11:14,000 --> 00:11:16,640 Speaker 3: that you take a look at the content on reels, 246 00:11:16,679 --> 00:11:20,679 Speaker 3: for example, A lot of it is recycled content from TikTok. 247 00:11:20,840 --> 00:11:24,440 Speaker 3: So how urgent of a question is it for Meta 248 00:11:24,440 --> 00:11:28,120 Speaker 3: to actually attract the creators onto their own platform. 249 00:11:28,640 --> 00:11:31,280 Speaker 8: Oh, it's critical for them to do that. I mean 250 00:11:31,320 --> 00:11:33,680 Speaker 8: whether or not there's a TikTok ban. I just think 251 00:11:33,720 --> 00:11:35,719 Speaker 8: if there's a TikTok ban, those creators are going to 252 00:11:35,760 --> 00:11:39,440 Speaker 8: be forced to take their audiences and build them somewhere else. 253 00:11:39,840 --> 00:11:43,040 Speaker 8: And I'd be surprised if major TikTok A lot of 254 00:11:43,040 --> 00:11:46,800 Speaker 8: TikTok creators. I think you are somewhat diversified anyway. I 255 00:11:46,800 --> 00:11:48,560 Speaker 8: know there's some that aren't, but I think there's a 256 00:11:48,559 --> 00:11:50,320 Speaker 8: good number that are so anyway. 257 00:11:50,400 --> 00:11:53,920 Speaker 6: Yeah, this has always been the drive of Meta is. 258 00:11:53,880 --> 00:11:58,400 Speaker 8: To attract more more short form video content and talent 259 00:11:58,559 --> 00:11:59,880 Speaker 8: over to its network. 260 00:12:00,000 --> 00:12:01,040 Speaker 6: I think they'll be able to do that. 261 00:12:01,040 --> 00:12:02,840 Speaker 8: They've been pretty successful at doing it in a lot 262 00:12:02,840 --> 00:12:03,679 Speaker 8: of different areas. 263 00:12:04,120 --> 00:12:04,360 Speaker 6: Yeah. 264 00:12:04,440 --> 00:12:06,840 Speaker 3: Well, Mark, great point to leave it on. Really appreciate 265 00:12:06,880 --> 00:12:09,280 Speaker 3: the time that is. Mark Behiney of Evercore isi A. 266 00:12:09,240 --> 00:12:11,160 Speaker 2: You're gonna be okay if TikTok ats man, I'm. 267 00:12:11,000 --> 00:12:13,720 Speaker 3: Going to be pretty sad. I spent about three hours 268 00:12:13,760 --> 00:12:15,760 Speaker 3: there a day, So I mean, maybe it'll be good. 269 00:12:15,679 --> 00:12:22,920 Speaker 4: For me, Katie to real's it'll be that'll be huge. 270 00:12:26,960 --> 00:12:29,839 Speaker 3: Bomtas Nick Clegg is stepping down from his role as 271 00:12:30,000 --> 00:12:33,240 Speaker 3: president of Global Affairs and will be replaced by Joel Kaplan. 272 00:12:33,320 --> 00:12:36,679 Speaker 3: He is a longtime executive with Republican ties. Now this 273 00:12:36,760 --> 00:12:39,040 Speaker 3: move marks a shift by the social media giant, so 274 00:12:39,080 --> 00:12:42,160 Speaker 3: it prepares for a second Trump presidency. For more, We're 275 00:12:42,240 --> 00:12:45,360 Speaker 3: joined now by Bloomberg's Kurt Wagner, and of course Clegg 276 00:12:45,480 --> 00:12:48,679 Speaker 3: said of Kaplan that he was clearly the right person 277 00:12:48,760 --> 00:12:50,920 Speaker 3: for the right job at the right time. 278 00:12:51,040 --> 00:12:52,280 Speaker 5: Kurt tell us, why. 279 00:12:52,720 --> 00:12:55,640 Speaker 10: Yeah, Well, as you mentioned, Katie, this is a transition 280 00:12:55,840 --> 00:12:59,240 Speaker 10: into you know, Trump's second term, and this is someone 281 00:12:59,280 --> 00:13:04,559 Speaker 10: who is you know, Joel Kaplan being someone with Republican ties, 282 00:13:04,679 --> 00:13:06,760 Speaker 10: with a lot of history with the Republican Party. 283 00:13:07,440 --> 00:13:08,520 Speaker 6: You know, works for George W. 284 00:13:08,600 --> 00:13:12,040 Speaker 10: Bush's administration way back in the day. So someone who 285 00:13:12,240 --> 00:13:15,800 Speaker 10: I think can maybe speak that language better than Nick Clegg, 286 00:13:15,840 --> 00:13:19,280 Speaker 10: who you know, came over from the UK. I do 287 00:13:19,360 --> 00:13:22,520 Speaker 10: think that this sort of signals, you know, that Meta 288 00:13:22,600 --> 00:13:26,600 Speaker 10: certainly sees the most important relationships right now being domestic right, 289 00:13:26,679 --> 00:13:29,679 Speaker 10: and not necessarily what's going on in Europe where there's 290 00:13:29,720 --> 00:13:32,080 Speaker 10: a ton of regulatory issues, which is something I think 291 00:13:32,160 --> 00:13:34,000 Speaker 10: Nick Clegg was very well positioned to handle. 292 00:13:34,440 --> 00:13:37,920 Speaker 4: Kurt Joel Kaplan may be somebody with Republican Party ties, 293 00:13:37,960 --> 00:13:40,560 Speaker 4: but the Republican Party that he was part. 294 00:13:40,360 --> 00:13:41,280 Speaker 2: Of the George W. 295 00:13:41,320 --> 00:13:44,480 Speaker 4: Bush administration, for example, is a far cry from Donald 296 00:13:44,520 --> 00:13:47,440 Speaker 4: Trump's Republican Party, and in fact, many of the folks 297 00:13:47,480 --> 00:13:50,640 Speaker 4: in the Republican Party now criticize that administration. And I'm 298 00:13:50,640 --> 00:13:52,960 Speaker 4: wondering if you think there's going to be any tension there, 299 00:13:52,960 --> 00:13:55,040 Speaker 4: If there is any tension there, if it still represents 300 00:13:55,080 --> 00:14:00,319 Speaker 4: a disconnect between meta platforms and the Republican Party of today, yehossibly. 301 00:14:00,360 --> 00:14:02,880 Speaker 10: But this is what every big tech company is going 302 00:14:02,920 --> 00:14:04,760 Speaker 10: to be dealing with, right, which is that the more 303 00:14:04,760 --> 00:14:07,880 Speaker 10: traditional folks that they have in their policy divisions might 304 00:14:07,920 --> 00:14:12,680 Speaker 10: not necessarily be the Maga Trump candidate party that we're 305 00:14:12,720 --> 00:14:15,120 Speaker 10: starting to see really emergent take off. 306 00:14:15,480 --> 00:14:15,720 Speaker 6: Now. 307 00:14:15,760 --> 00:14:18,600 Speaker 10: It's closer, right, Joel Kaplan is going to be closer 308 00:14:19,200 --> 00:14:21,440 Speaker 10: in alignment with those types of issues, I think than 309 00:14:21,440 --> 00:14:23,640 Speaker 10: maybe someone like Nick Klegg. So maybe that helps, But 310 00:14:23,680 --> 00:14:26,520 Speaker 10: I think the key here is really Mark Zuckerberg's role. 311 00:14:26,600 --> 00:14:29,560 Speaker 10: Right For the last four years, he has been saying, Hey, 312 00:14:29,600 --> 00:14:31,680 Speaker 10: I want to be hands off. This is this policy 313 00:14:31,720 --> 00:14:34,080 Speaker 10: stuff is not for me. I want to focus on product. 314 00:14:34,160 --> 00:14:36,080 Speaker 10: I want to focus on the business. But now we 315 00:14:36,120 --> 00:14:37,640 Speaker 10: see him show up in mar A Lago, we see 316 00:14:37,680 --> 00:14:41,040 Speaker 10: him calling Donald Trump personally, and I think that Mark 317 00:14:41,160 --> 00:14:44,560 Speaker 10: Zuckerberg will likely handle the line's share of the relationship 318 00:14:44,800 --> 00:14:47,720 Speaker 10: with Donald Trump himself, and then you let Joel Kaplan 319 00:14:47,840 --> 00:14:49,840 Speaker 10: sort of deal with all of this stuff on Capitol 320 00:14:49,880 --> 00:14:52,640 Speaker 10: Hill where he is very well connected. It's just given 321 00:14:52,680 --> 00:14:55,000 Speaker 10: all the years that he's been working in this industry. 322 00:14:55,120 --> 00:14:58,160 Speaker 2: Bloomberg's Ker Wagner joining us this morning. Thanks so much, Kurt, 323 00:14:58,160 --> 00:14:58,960 Speaker 2: do appreciate it. 324 00:14:59,160 --> 00:15:01,280 Speaker 4: Well, It's not just Metta that is preparing for Trump's 325 00:15:01,240 --> 00:15:04,040 Speaker 4: second administration. Other big tech leaders have met with the 326 00:15:04,120 --> 00:15:07,080 Speaker 4: President elect, including the likes of Jeff Bezos, Sunder Pachai, 327 00:15:07,120 --> 00:15:09,600 Speaker 4: and Tim Cook, all ahead of his return to the 328 00:15:09,600 --> 00:15:12,240 Speaker 4: White House. For more on the future of Silicon Valley's 329 00:15:12,240 --> 00:15:16,000 Speaker 4: relationship with Trump. Adam Kavakovich is a Chamber of Progress 330 00:15:16,040 --> 00:15:19,240 Speaker 4: CEO and he joins us now. Adam, how would you 331 00:15:19,360 --> 00:15:24,600 Speaker 4: describe the relationship between technology and the incoming Trump administration, 332 00:15:24,640 --> 00:15:27,160 Speaker 4: because a lot has changed over the last four years, 333 00:15:27,600 --> 00:15:31,360 Speaker 4: especially with the rhetoric out of Silicon Valley more pro Trump, 334 00:15:31,400 --> 00:15:32,960 Speaker 4: I think now than it ever has been. 335 00:15:34,280 --> 00:15:36,280 Speaker 11: Yeah, I think you have to factor in two things. One, 336 00:15:36,280 --> 00:15:38,840 Speaker 11: there's a lot of unhappiness in the tech industry with 337 00:15:38,960 --> 00:15:43,080 Speaker 11: how the Biden administration has targeted tech and seen tech 338 00:15:43,200 --> 00:15:46,280 Speaker 11: more as an industry to trash rather than than an 339 00:15:46,280 --> 00:15:49,040 Speaker 11: industry to champion. And so frankly, I think there's a 340 00:15:49,040 --> 00:15:53,080 Speaker 11: lot of frustration from people in Silicon Valley who are 341 00:15:53,120 --> 00:15:57,320 Speaker 11: not necessarily Trump supporters or even right leaning, but there's 342 00:15:57,360 --> 00:15:59,960 Speaker 11: been a lot of frustration that the administration hasn't champion 343 00:16:00,080 --> 00:16:03,400 Speaker 11: in basically, you know, us the country's biggest export, So 344 00:16:03,440 --> 00:16:06,920 Speaker 11: that's number one. Number Two, everyone has the benefit of 345 00:16:06,960 --> 00:16:10,840 Speaker 11: having learned from the first Trump term in terms of 346 00:16:10,880 --> 00:16:13,120 Speaker 11: what worked and what didn't. In terms of how to 347 00:16:13,560 --> 00:16:16,160 Speaker 11: deal with president and work with him. I think a 348 00:16:16,160 --> 00:16:20,120 Speaker 11: lot of tech CEOs look to Tim Cook for this 349 00:16:20,200 --> 00:16:24,160 Speaker 11: as the CEO who probably managed the first Trump administration 350 00:16:24,280 --> 00:16:26,480 Speaker 11: the best, and a lot of that, frankly, came down 351 00:16:26,480 --> 00:16:31,320 Speaker 11: to direct contact between the CEO and Trump himself. As 352 00:16:31,400 --> 00:16:35,480 Speaker 11: you said, that's not something that can be easily designated 353 00:16:35,520 --> 00:16:39,520 Speaker 11: to a deputy. Trump really cares about meeting with the CEO, 354 00:16:39,640 --> 00:16:41,640 Speaker 11: and in fact, that kind of meeting often works that 355 00:16:41,720 --> 00:16:43,520 Speaker 11: succeeds with him. So I think that's what a lot 356 00:16:43,520 --> 00:16:45,760 Speaker 11: of companies are meeting with. 357 00:16:46,240 --> 00:16:48,960 Speaker 3: Let's go to what Trump himself has said. Of course, 358 00:16:49,040 --> 00:16:53,520 Speaker 3: this is a post on social media in late December. 359 00:16:53,800 --> 00:16:56,560 Speaker 3: Big tech has run wild for years, stifling competition in 360 00:16:56,600 --> 00:16:59,200 Speaker 3: our most innovative sector, and as we all know, using 361 00:16:59,240 --> 00:17:01,840 Speaker 3: its market power to crack down on the rights of 362 00:17:01,880 --> 00:17:05,080 Speaker 3: so many Americans, as well as those of little tech. 363 00:17:05,160 --> 00:17:07,160 Speaker 3: Which is not a phrase that I've heard before. 364 00:17:07,320 --> 00:17:10,000 Speaker 2: But reading maybe truth social is a little tech. 365 00:17:10,119 --> 00:17:10,600 Speaker 5: That's true. 366 00:17:10,720 --> 00:17:13,399 Speaker 3: Maybe he's talking his book there, but reading between the lines, 367 00:17:13,440 --> 00:17:16,520 Speaker 3: it seems like that would suggest that this anti trust 368 00:17:16,640 --> 00:17:18,960 Speaker 3: pressure that has been on these big tech names is 369 00:17:19,000 --> 00:17:20,200 Speaker 3: going to continue. 370 00:17:20,440 --> 00:17:20,560 Speaker 12: Oh. 371 00:17:20,600 --> 00:17:22,040 Speaker 13: I don't think there's any doubt about that. 372 00:17:22,119 --> 00:17:24,840 Speaker 11: The fact is, you know, the Biden administration has been 373 00:17:24,840 --> 00:17:28,000 Speaker 11: prosecuting anti trust cases against all of the big tech companies. 374 00:17:28,000 --> 00:17:30,520 Speaker 11: Some of those started under Trump's first term. I don't 375 00:17:30,520 --> 00:17:32,320 Speaker 11: expect any of that to go away. But I will 376 00:17:32,320 --> 00:17:35,280 Speaker 11: say I don't think Trump particularly cares about antitrust as 377 00:17:35,320 --> 00:17:37,760 Speaker 11: an issue. What I think he really cares about is 378 00:17:37,840 --> 00:17:39,280 Speaker 11: are these companies. 379 00:17:38,920 --> 00:17:41,720 Speaker 13: Nice to him? And I think he's views anti. 380 00:17:41,359 --> 00:17:45,840 Speaker 11: Trust lawsuits as leverage, and so I don't think you'll 381 00:17:45,840 --> 00:17:48,680 Speaker 11: see a lot of settlements, even though you know they'll 382 00:17:48,680 --> 00:17:50,480 Speaker 11: be sort of right leaning people may not agree with 383 00:17:50,480 --> 00:17:53,080 Speaker 11: the substance of the suit. I think you will see 384 00:17:53,080 --> 00:17:56,840 Speaker 11: the Trump administration enforceers keep these suits going because they 385 00:17:56,840 --> 00:18:00,440 Speaker 11: are leverage over the companies over things like content atoation 386 00:18:00,520 --> 00:18:00,960 Speaker 11: and speech. 387 00:18:01,160 --> 00:18:03,119 Speaker 13: But I do think there's a real interesting question here, 388 00:18:03,160 --> 00:18:04,720 Speaker 13: which is this little tech question. 389 00:18:04,840 --> 00:18:05,400 Speaker 6: You said right. 390 00:18:06,000 --> 00:18:09,800 Speaker 11: The Biden administration has had a chill over mergers and acquisitions, 391 00:18:09,840 --> 00:18:13,320 Speaker 11: and that's been intentional. That's part of their approach to 392 00:18:13,480 --> 00:18:17,680 Speaker 11: tech m and A and but little tech companies benefit 393 00:18:17,800 --> 00:18:21,000 Speaker 11: when big tech companies are able to acquire them. In fact, 394 00:18:21,040 --> 00:18:25,120 Speaker 11: many companies startups want the ability to be acquired as 395 00:18:25,160 --> 00:18:26,000 Speaker 11: an exit path. 396 00:18:26,320 --> 00:18:27,560 Speaker 13: And so this is going to be. 397 00:18:27,480 --> 00:18:31,400 Speaker 11: A real test for the Trump administration. Does little tech 398 00:18:31,480 --> 00:18:33,560 Speaker 11: do do they or do they not want big tech 399 00:18:33,600 --> 00:18:36,520 Speaker 11: to be free to acquire small companies. Again, I think 400 00:18:36,560 --> 00:18:39,240 Speaker 11: that's going to be a big tension within their administration's 401 00:18:39,840 --> 00:18:40,960 Speaker 11: antitrust enforcement. 402 00:18:41,119 --> 00:18:44,360 Speaker 4: Adam, what Adam, very quickly, what has been your conversations 403 00:18:44,400 --> 00:18:47,040 Speaker 4: with members of the incoming Trump administration thus far? 404 00:18:48,920 --> 00:18:52,080 Speaker 11: Well, you know, it's been very interesting because I do 405 00:18:52,119 --> 00:18:54,800 Speaker 11: think they have people who really do want to get 406 00:18:54,840 --> 00:18:57,080 Speaker 11: it right on things like AI and crypto, people like 407 00:18:57,200 --> 00:18:57,879 Speaker 11: David Sachs. 408 00:18:58,080 --> 00:19:00,720 Speaker 13: They are they are talking to people in the administration. 409 00:19:00,760 --> 00:19:04,359 Speaker 11: I think there's frankly, a lot of optimism that on 410 00:19:04,440 --> 00:19:08,000 Speaker 11: things like crypto, the Trump folks will reverse the hostility 411 00:19:08,000 --> 00:19:10,880 Speaker 11: that the Biden administration has brought towards the crypto industry. 412 00:19:11,080 --> 00:19:12,840 Speaker 13: I think there's a lot of optimism that things. 413 00:19:12,640 --> 00:19:16,000 Speaker 11: Like the Biden Executive Order on artificial intelligence will be overturned. 414 00:19:16,400 --> 00:19:18,280 Speaker 11: And there's a lot of optimism we can shift to 415 00:19:18,320 --> 00:19:19,760 Speaker 11: a kind of a more of a mode of let's 416 00:19:19,800 --> 00:19:23,760 Speaker 11: go beat China and other countries on technology. But there's 417 00:19:23,800 --> 00:19:25,480 Speaker 11: a lot of debates that are going to be kind 418 00:19:25,480 --> 00:19:27,200 Speaker 11: of up for grabs. There's a big debate about H 419 00:19:27,240 --> 00:19:29,680 Speaker 11: one b's right now and where you have elements of 420 00:19:29,720 --> 00:19:31,600 Speaker 11: the Republican Coalition against each other. 421 00:19:31,680 --> 00:19:33,160 Speaker 13: So we'll see how those unfold. 422 00:19:33,280 --> 00:19:35,080 Speaker 3: All right, Adam, great to get some time with you. 423 00:19:35,200 --> 00:19:38,800 Speaker 3: That is Adam Kovakovic of the Chamber of Progress Now 424 00:19:38,800 --> 00:19:39,159 Speaker 3: coming up. 425 00:19:39,240 --> 00:19:41,320 Speaker 5: Turow's safety under scrutiny. 426 00:19:40,840 --> 00:19:42,840 Speaker 3: After it was revealed that the platform was used for 427 00:19:42,960 --> 00:19:45,440 Speaker 3: current vehicles in both the New Orleans and the Las 428 00:19:45,480 --> 00:20:04,840 Speaker 3: Vegas attacks. More next. 429 00:20:03,359 --> 00:20:05,920 Speaker 4: Well, Turro's safety team scrambled to return to work after 430 00:20:06,000 --> 00:20:08,480 Speaker 4: the latest attacks in Las Vegas and New Orleans, where 431 00:20:08,480 --> 00:20:10,960 Speaker 4: it was revealed that the attackers use the car rental 432 00:20:10,960 --> 00:20:14,640 Speaker 4: platform to procure their vehicles for more. Bloomberg's Dana Wolman 433 00:20:14,880 --> 00:20:16,639 Speaker 4: joins us Now, Dan, I think for a lot of 434 00:20:16,640 --> 00:20:20,280 Speaker 4: people watching these attacks unfold over the last couple of days, 435 00:20:20,520 --> 00:20:22,640 Speaker 4: this was the first time they heard about Turow. I've 436 00:20:22,640 --> 00:20:25,520 Speaker 4: been describing it as the kind of like Airbnb of 437 00:20:25,640 --> 00:20:26,400 Speaker 4: vehicle rentals. 438 00:20:26,400 --> 00:20:26,920 Speaker 2: That's how it work. 439 00:20:27,040 --> 00:20:29,000 Speaker 14: That is the perfect way to describe it. It is 440 00:20:29,080 --> 00:20:32,360 Speaker 14: people choosing to rent their own vehicles when and how 441 00:20:32,440 --> 00:20:35,240 Speaker 14: and at what price they choose, and that makes it 442 00:20:35,280 --> 00:20:37,680 Speaker 14: a little different from a car rental fleet, where car 443 00:20:37,760 --> 00:20:41,080 Speaker 14: rental services obviously own the vehicles, so it's really inherently 444 00:20:41,119 --> 00:20:42,880 Speaker 14: a different level of liability. 445 00:20:43,280 --> 00:20:45,919 Speaker 3: I also had not heard about Turow, but this is 446 00:20:45,920 --> 00:20:49,040 Speaker 3: a company that has been an IPO candidate for a while. 447 00:20:49,080 --> 00:20:51,879 Speaker 3: And it was interesting to see that in its paperwork 448 00:20:51,960 --> 00:20:55,560 Speaker 3: to go public, it actually noted that vehicle damage and 449 00:20:55,640 --> 00:20:59,240 Speaker 3: other safety and security issues could harm their reputation, and 450 00:21:00,280 --> 00:21:00,720 Speaker 3: that's what. 451 00:21:00,640 --> 00:21:01,960 Speaker 5: We saw absolutely. 452 00:21:02,200 --> 00:21:04,200 Speaker 14: I don't think these are the exact kind of incidents 453 00:21:04,240 --> 00:21:07,919 Speaker 14: they had in mind, but yes, it is people renting 454 00:21:07,920 --> 00:21:10,600 Speaker 14: each other's vehicles, and there's a similar risk as Tim 455 00:21:10,640 --> 00:21:14,080 Speaker 14: said on Airbnb, where someone could trash someone else's property, 456 00:21:14,080 --> 00:21:16,320 Speaker 14: word could get out, and to the extent that the 457 00:21:16,800 --> 00:21:19,800 Speaker 14: service might grow through word of mouth, the reputation could 458 00:21:19,800 --> 00:21:21,520 Speaker 14: also sour through word of mouth. 459 00:21:21,560 --> 00:21:24,600 Speaker 4: There are questions about background checks coming out now. We're 460 00:21:24,600 --> 00:21:27,760 Speaker 4: given that these two vehicles were used by folks who 461 00:21:27,880 --> 00:21:30,840 Speaker 4: ended up causing loss of life, whether it was their 462 00:21:30,880 --> 00:21:34,080 Speaker 4: own or others. The thing is they don't do background 463 00:21:34,119 --> 00:21:36,879 Speaker 4: checks with a normal rental car company. I don't think so. 464 00:21:37,440 --> 00:21:39,919 Speaker 4: I don't know if that's necessarily apples and oranges here 465 00:21:39,960 --> 00:21:41,280 Speaker 4: apples to apples right. 466 00:21:41,320 --> 00:21:43,439 Speaker 14: What the company would say and has said publicly, is 467 00:21:43,480 --> 00:21:46,760 Speaker 14: that the suspects in both attacks did not have criminal 468 00:21:46,800 --> 00:21:48,480 Speaker 14: records that would have shown up in any. 469 00:21:48,400 --> 00:21:49,560 Speaker 5: Sort of checks. 470 00:21:49,640 --> 00:21:52,000 Speaker 14: That said, our team is very interested and is continuing 471 00:21:52,000 --> 00:21:54,879 Speaker 14: to report on exactly how the checks work at Touro. 472 00:21:55,920 --> 00:21:58,760 Speaker 14: Like so many algorithms out there in different services, the 473 00:21:58,800 --> 00:22:02,399 Speaker 14: algorithm here seems pre nebulous. It seems to be dozens 474 00:22:02,400 --> 00:22:05,360 Speaker 14: of different data points that are checked very quickly, even 475 00:22:05,400 --> 00:22:08,720 Speaker 14: by the company's own admission and regulatory filings. Most users 476 00:22:08,720 --> 00:22:12,119 Speaker 14: are approved within seconds, how exactly and based on what criteria? 477 00:22:12,320 --> 00:22:14,879 Speaker 14: We're trying to find that out as well. 478 00:22:15,000 --> 00:22:17,439 Speaker 3: All right, Dana, look forward to more reporting from you 479 00:22:17,560 --> 00:22:29,119 Speaker 3: and your team, that is Bloomberg's Dana Lman, Welcome back 480 00:22:29,160 --> 00:22:30,320 Speaker 3: to Bloomberg Technology. 481 00:22:30,359 --> 00:22:31,520 Speaker 5: I'm Katie Greifelp and. 482 00:22:31,480 --> 00:22:33,600 Speaker 2: I'm Jim Steinovic, both here in New York City. 483 00:22:33,720 --> 00:22:35,400 Speaker 5: Let's go to check on these markets. 484 00:22:35,400 --> 00:22:37,399 Speaker 3: Of course, we have green on the screen, a nice 485 00:22:37,640 --> 00:22:40,359 Speaker 3: turnaround from yesterday's closed. You can see the NASAQ one 486 00:22:40,440 --> 00:22:43,239 Speaker 3: hundred up by more than one percent one point two 487 00:22:43,320 --> 00:22:45,880 Speaker 3: percent right now. A lot of those games being led 488 00:22:45,880 --> 00:22:48,760 Speaker 3: by Nvidio, of course, having a good day today, pulling 489 00:22:49,040 --> 00:22:52,680 Speaker 3: its my but pretty broad breath in the technology sector overall. 490 00:22:52,720 --> 00:22:55,440 Speaker 3: You take a look at the risk appetite being expressed 491 00:22:55,440 --> 00:22:57,920 Speaker 3: in bitcoin right now. Bitcoin also higher to the tune 492 00:22:57,920 --> 00:23:00,680 Speaker 3: about nine tenths of a person, and of course we're 493 00:23:00,680 --> 00:23:03,800 Speaker 3: still below one hundred thousand dollars per coin, but never 494 00:23:03,840 --> 00:23:05,879 Speaker 3: said ever. Maybe we'll get back there, maybe even today, 495 00:23:05,920 --> 00:23:09,119 Speaker 3: given how volatile bitcoin is. But let's talk about Rivian. 496 00:23:09,160 --> 00:23:11,040 Speaker 3: Of course, this was one of the big stories from 497 00:23:11,080 --> 00:23:14,600 Speaker 3: this morning. Rivian out with its fourth quarter production numbers 498 00:23:14,880 --> 00:23:20,480 Speaker 3: beating estimates. Production came out with about twelve seven hundred vehicles. 499 00:23:20,520 --> 00:23:24,600 Speaker 3: The estimate had been for eleven four hundred. So you're seeing, 500 00:23:24,880 --> 00:23:27,440 Speaker 3: of course, Rivian shares being rewarded in a big way 501 00:23:27,520 --> 00:23:30,640 Speaker 3: right now, up about twenty one point six percent. 502 00:23:30,960 --> 00:23:32,240 Speaker 5: Tesla getting in on the action. 503 00:23:32,400 --> 00:23:35,560 Speaker 3: Remember that disappointment that we saw with deliveries fourth quarter 504 00:23:35,600 --> 00:23:39,399 Speaker 3: deliveries for Tesla yesterday a distant memory. Tesla shares also 505 00:23:39,520 --> 00:23:41,680 Speaker 3: up by about four point six percent right now. 506 00:23:41,680 --> 00:23:45,560 Speaker 4: Tim CFIA actually reiterating its sell opinion on shares of Rivian, 507 00:23:45,600 --> 00:23:47,560 Speaker 4: a price target of eight dollars. 508 00:23:47,600 --> 00:23:50,359 Speaker 2: Look at that hikes. Yeah, shares trading at sixteen dollars 509 00:23:50,560 --> 00:23:50,960 Speaker 2: right now. 510 00:23:51,040 --> 00:23:53,119 Speaker 4: We're talking to Garret Nelson a little later on a 511 00:23:53,160 --> 00:23:55,880 Speaker 4: Bloomberg and BusinessWeek. Hey, let's get on over to tech 512 00:23:55,920 --> 00:23:59,359 Speaker 4: and rising global trade tensions, with China planning tougher scrutiny 513 00:23:59,560 --> 00:24:02,920 Speaker 4: on xt of technology to make battery materials. This as 514 00:24:02,960 --> 00:24:06,200 Speaker 4: Beijing looks to protect its grip on the crucial supply chain. 515 00:24:06,600 --> 00:24:09,240 Speaker 4: This is according to a notice seeking public opinion from 516 00:24:09,240 --> 00:24:13,000 Speaker 4: the Ministry of Commerce on Thursday. Bloomberg's Mike Shepard joins 517 00:24:13,080 --> 00:24:16,560 Speaker 4: us for more Mike when it comes to rising trade tensions, 518 00:24:16,640 --> 00:24:20,080 Speaker 4: when it comes to tariffs and protectionism, it certainly is 519 00:24:20,119 --> 00:24:23,360 Speaker 4: a game that two can play. How much leverage does 520 00:24:23,440 --> 00:24:28,359 Speaker 4: China have when it comes to exports of these critical materials. 521 00:24:29,040 --> 00:24:32,679 Speaker 15: Well, it matters because these are the essential ingredients to 522 00:24:32,760 --> 00:24:35,160 Speaker 15: a lot of things, and in this case, they're focusing 523 00:24:35,640 --> 00:24:39,680 Speaker 15: on what goes into the batteries that will be essential 524 00:24:39,720 --> 00:24:43,600 Speaker 15: and critical to powering this next generation of electric vehicles, 525 00:24:43,640 --> 00:24:45,119 Speaker 15: not only here in the US. 526 00:24:45,160 --> 00:24:47,120 Speaker 2: But elsewhere around the world. This is. 527 00:24:48,680 --> 00:24:51,840 Speaker 15: A field and industry, a sector that China really has 528 00:24:51,960 --> 00:24:57,000 Speaker 15: developed a strong advantage in developing the technology needed to 529 00:24:57,080 --> 00:25:02,040 Speaker 15: refine the chemicals used in making a car battery, you know, 530 00:25:02,119 --> 00:25:04,720 Speaker 15: the kind that you'd see in the electric vehicles on 531 00:25:04,760 --> 00:25:08,200 Speaker 15: our streets. It's also been behind the rise of their 532 00:25:08,280 --> 00:25:12,440 Speaker 15: electric vehicle makers, most notably byd which have emerged as 533 00:25:12,520 --> 00:25:16,200 Speaker 15: global leaders. So this is an area where they can 534 00:25:16,400 --> 00:25:19,760 Speaker 15: actually say, oh no, we're going to try to fence 535 00:25:19,800 --> 00:25:23,399 Speaker 15: you off to protect our advantage. And in turn, the 536 00:25:23,480 --> 00:25:28,000 Speaker 15: US has seen a risk coming from car makers like BYD. 537 00:25:28,240 --> 00:25:32,320 Speaker 15: Earlier this year, we saw the Biden administration impose steep 538 00:25:32,440 --> 00:25:36,560 Speaker 15: tariffs on imports into the US of Chinese electric vehels, 539 00:25:36,680 --> 00:25:40,840 Speaker 15: really designed to keep them out of this market, to 540 00:25:41,000 --> 00:25:46,000 Speaker 15: avoid undercutting the efforts to get domestic car makers here 541 00:25:46,240 --> 00:25:49,639 Speaker 15: to develop evs of their own, with advanced technology of 542 00:25:49,640 --> 00:25:50,040 Speaker 15: their own. 543 00:25:50,440 --> 00:25:53,080 Speaker 3: And of course we're talking just more than two weeks 544 00:25:53,080 --> 00:25:57,639 Speaker 3: before Trump's inauguration for his second term. I mean, what 545 00:25:58,280 --> 00:26:00,840 Speaker 3: is the mood music when it comes to the second 546 00:26:00,840 --> 00:26:04,119 Speaker 3: Trump administration and China. Of course, being hawkish on China. 547 00:26:04,160 --> 00:26:06,600 Speaker 3: That is sort of a bipartisan vibe that we have 548 00:26:06,720 --> 00:26:09,240 Speaker 3: going on here. But what would you imagine the Trump 549 00:26:09,280 --> 00:26:12,439 Speaker 3: administration's response would be to action such as this? 550 00:26:14,040 --> 00:26:16,320 Speaker 15: Well, okay, I think it's time to pull the lens 551 00:26:16,359 --> 00:26:18,640 Speaker 15: back a little bit and see this in the broader 552 00:26:18,760 --> 00:26:22,879 Speaker 15: context of the US China relationship on technology. The Biden 553 00:26:22,880 --> 00:26:29,000 Speaker 15: administration has been imposing restrictions on a lot of sensitive technology, 554 00:26:29,000 --> 00:26:33,159 Speaker 15: and that includes exports of advanced semiconductor making equipment and 555 00:26:33,240 --> 00:26:35,919 Speaker 15: also high bandwidth memory chipsy's are the two of the 556 00:26:35,920 --> 00:26:39,800 Speaker 15: most notable moves made by the US in recent months, 557 00:26:40,119 --> 00:26:44,040 Speaker 15: and those are designed to undercut Beijing's ability to stoke 558 00:26:44,160 --> 00:26:49,000 Speaker 15: a semiconductor manufacturing base of its own at an advanced 559 00:26:49,080 --> 00:26:53,359 Speaker 15: level and advanced enough to develop artificial intelligence that would 560 00:26:53,400 --> 00:26:56,399 Speaker 15: help its military. And that's an advantage that the US 561 00:26:56,440 --> 00:27:01,800 Speaker 15: does not want to see developed by Beijing. And certainly 562 00:27:01,960 --> 00:27:05,600 Speaker 15: the Trump administration will not alter course on that, and 563 00:27:05,680 --> 00:27:08,320 Speaker 15: we will expect to see the Trump administration not only 564 00:27:08,359 --> 00:27:12,560 Speaker 15: embrace certain types of export controls applied by the Biden administration, 565 00:27:12,640 --> 00:27:15,639 Speaker 15: but perhaps try to expand them and look for ways 566 00:27:15,680 --> 00:27:19,760 Speaker 15: to retaliate as well, and try to maybe foster some 567 00:27:19,840 --> 00:27:22,840 Speaker 15: domestic investment in these areas as well. 568 00:27:22,920 --> 00:27:26,120 Speaker 3: All Right, my great perspective, as always, that is Bloomberg's 569 00:27:26,320 --> 00:27:30,080 Speaker 3: Mike Sheppard joining us from Washington. Let's keep the conversation going, 570 00:27:30,119 --> 00:27:32,320 Speaker 3: because another story we're keeping an eye on is the 571 00:27:32,320 --> 00:27:35,360 Speaker 3: future of H one B visas and America's tech industry 572 00:27:35,480 --> 00:27:39,880 Speaker 3: under the new administration. Here's former US Representative Denver Riggleman 573 00:27:40,040 --> 00:27:43,320 Speaker 3: of Virginia weighing in on Elon Musk's influence on the matter. 574 00:27:43,640 --> 00:27:46,240 Speaker 3: He spoke with Bloomberg's Balance of Power co host Joe 575 00:27:46,320 --> 00:27:47,840 Speaker 3: Matthew earlier this week. 576 00:27:48,640 --> 00:27:50,320 Speaker 2: Yeah, I'd have lunch with Elon and Jlad. 577 00:27:50,320 --> 00:27:52,560 Speaker 16: I thought, what's going on with Elon Musk here? We're 578 00:27:52,560 --> 00:27:54,359 Speaker 16: already seeing a little bit of a breakdown over the 579 00:27:54,520 --> 00:28:01,000 Speaker 16: H one B situation. Yeah, the Maga versus Musk situation tenuous. Well, 580 00:28:01,040 --> 00:28:03,560 Speaker 16: a year or two from now, will he still have 581 00:28:03,640 --> 00:28:04,440 Speaker 16: the president's year? 582 00:28:04,680 --> 00:28:07,879 Speaker 17: No, no, no, I mean the thing about H one 583 00:28:07,920 --> 00:28:10,240 Speaker 17: B's what's interesting. You know, he's going again some really 584 00:28:10,280 --> 00:28:12,439 Speaker 17: big packs on the far right, like Numbers USA and 585 00:28:12,440 --> 00:28:14,199 Speaker 17: things like that. But for me, I'm an H one 586 00:28:14,240 --> 00:28:17,400 Speaker 17: BH two, a an HTV supporter based on our district's 587 00:28:17,480 --> 00:28:19,359 Speaker 17: very rural. But we also have a lot of technology 588 00:28:19,359 --> 00:28:20,680 Speaker 17: in Virginia and the Commonwealth. 589 00:28:22,520 --> 00:28:25,359 Speaker 3: Let's bring in now ericson immigration group partner at HIBBA 590 00:28:25,400 --> 00:28:27,960 Speaker 3: ANDVERT joining us now. Great to have you with us. 591 00:28:27,960 --> 00:28:32,000 Speaker 3: And it's interesting because after you saw Elon Musk's comments 592 00:28:32,200 --> 00:28:34,760 Speaker 3: on social media over the holiday period, you had Donald 593 00:28:34,800 --> 00:28:37,600 Speaker 3: Trump kind of fall in line and voice his own 594 00:28:37,640 --> 00:28:40,120 Speaker 3: support for H one B Visas of course, it'll be 595 00:28:40,160 --> 00:28:42,720 Speaker 3: interesting to see if he sticks to that view as 596 00:28:42,760 --> 00:28:44,560 Speaker 3: we get deeper into his administration. 597 00:28:44,680 --> 00:28:46,400 Speaker 5: But give us some context here. 598 00:28:46,800 --> 00:28:49,000 Speaker 3: We talk about H one B visas in the context 599 00:28:49,240 --> 00:28:50,960 Speaker 3: of the tech industry all the time. 600 00:28:51,400 --> 00:28:53,280 Speaker 5: What role do they play though? 601 00:28:54,640 --> 00:28:57,680 Speaker 18: So H one B visas actually play a very critical role. 602 00:28:58,080 --> 00:29:01,440 Speaker 18: American companies are the most scessful companies in the world 603 00:29:01,480 --> 00:29:04,959 Speaker 18: in a variety of industries and sectors, and part of 604 00:29:05,040 --> 00:29:08,840 Speaker 18: their success is attributed to their ability to hire the 605 00:29:08,840 --> 00:29:11,320 Speaker 18: best and brightest from around the world. Now, the H 606 00:29:11,360 --> 00:29:13,200 Speaker 18: one B visa is one of the ways in which 607 00:29:13,200 --> 00:29:16,800 Speaker 18: companies are able to hire and retain talent from around 608 00:29:16,840 --> 00:29:20,480 Speaker 18: the world and remain competitive and global leaders in industries 609 00:29:20,560 --> 00:29:26,640 Speaker 18: ranging from technology to semiconductor to AI to the financial industry, 610 00:29:26,640 --> 00:29:27,640 Speaker 18: a variety of industries. 611 00:29:28,360 --> 00:29:30,360 Speaker 4: We know we have the first Trump administration to look 612 00:29:30,400 --> 00:29:32,680 Speaker 4: back to for data for context. You were kind of 613 00:29:32,720 --> 00:29:34,760 Speaker 4: have to share some numbers with our team ahead of this, 614 00:29:35,240 --> 00:29:37,320 Speaker 4: and you noted that the denial rate for these H 615 00:29:37,400 --> 00:29:39,840 Speaker 4: one B visas before Trump took office with six percent, 616 00:29:40,320 --> 00:29:42,280 Speaker 4: then it increased to an all time high of twenty 617 00:29:42,320 --> 00:29:45,440 Speaker 4: four percent in twenty eighteen, then immediately dropped down to 618 00:29:45,480 --> 00:29:48,520 Speaker 4: four percent during Biden's first year in office. Can we 619 00:29:48,560 --> 00:29:50,880 Speaker 4: look to that happening again, or do you think this 620 00:29:50,920 --> 00:29:53,640 Speaker 4: time will be different given that Elon Musk has the 621 00:29:53,680 --> 00:29:55,800 Speaker 4: year of the president and he's so supportive of this 622 00:29:55,880 --> 00:29:56,520 Speaker 4: type of visa. 623 00:29:57,520 --> 00:29:59,360 Speaker 18: I think it remains to be seen whether or not 624 00:29:59,400 --> 00:30:01,800 Speaker 18: the second Trump administration is in any way going to 625 00:30:01,840 --> 00:30:04,880 Speaker 18: be different. Obviously, folks that are in the industry are 626 00:30:04,920 --> 00:30:08,440 Speaker 18: watching the way in which the Trump administration and the 627 00:30:08,480 --> 00:30:12,040 Speaker 18: immigration restrictionists reconcile with the fact that there are certain 628 00:30:12,040 --> 00:30:14,800 Speaker 18: tech leaders that are close to President Trump. But if 629 00:30:14,840 --> 00:30:18,760 Speaker 18: we have, you know, if basically what we have to 630 00:30:18,800 --> 00:30:21,440 Speaker 18: go on is what happened during the first Trump administration, 631 00:30:21,480 --> 00:30:24,320 Speaker 18: And to your point, the denial rates did increase to 632 00:30:24,320 --> 00:30:28,040 Speaker 18: an all time high, and then overall processing times increased, 633 00:30:28,400 --> 00:30:31,760 Speaker 18: and it was just more inefficient and difficult to obtain 634 00:30:31,880 --> 00:30:34,600 Speaker 18: the same visas for the foreign workers on the part 635 00:30:34,600 --> 00:30:36,520 Speaker 18: of a lot of these companies. And so what a 636 00:30:36,520 --> 00:30:38,800 Speaker 18: lot of us in the industry are watching is to 637 00:30:38,800 --> 00:30:40,560 Speaker 18: see whether or not there's going to be a repeat 638 00:30:40,600 --> 00:30:41,720 Speaker 18: of that the second time around. 639 00:30:41,920 --> 00:30:44,320 Speaker 4: Do you believe that within a short period of time, 640 00:30:44,640 --> 00:30:48,680 Speaker 4: say the next Trump administration, the US will be able 641 00:30:48,720 --> 00:30:52,320 Speaker 4: to put an infrastructure in place to actually train Americans 642 00:30:52,720 --> 00:30:55,080 Speaker 4: to do this type of work or did that ship sail. 643 00:30:56,160 --> 00:30:58,400 Speaker 18: Actually, what I think a lot of people don't realize 644 00:30:58,440 --> 00:31:01,040 Speaker 18: is that the H one V VISA program itself contains 645 00:31:01,120 --> 00:31:04,640 Speaker 18: protections that are designed just for that. The H one 646 00:31:04,680 --> 00:31:07,520 Speaker 18: B VISA program has numerous protections that are designed to 647 00:31:07,640 --> 00:31:10,080 Speaker 18: ensure that if a company is going to hire a 648 00:31:10,080 --> 00:31:13,280 Speaker 18: foreign worker, no harm is coming to a US worker. 649 00:31:13,560 --> 00:31:15,520 Speaker 18: There are also certain fees that need to be paid 650 00:31:15,520 --> 00:31:18,080 Speaker 18: to the government to a company that H one B filing. 651 00:31:18,360 --> 00:31:20,440 Speaker 18: The purpose of some of those fees is to be 652 00:31:20,520 --> 00:31:23,680 Speaker 18: able to fund the training of American workers. So I 653 00:31:23,720 --> 00:31:26,320 Speaker 18: think that the investment and training in the US workforce 654 00:31:26,400 --> 00:31:28,880 Speaker 18: is ongoing, and I think most people would be surprised 655 00:31:28,880 --> 00:31:31,080 Speaker 18: to learn that the H one B VISA petition actually 656 00:31:31,120 --> 00:31:32,000 Speaker 18: plays a role in that. 657 00:31:32,440 --> 00:31:34,120 Speaker 3: I want to talk too about the fact that you 658 00:31:34,240 --> 00:31:36,320 Speaker 3: have a lot of big tech leaders kind of coming 659 00:31:36,400 --> 00:31:38,600 Speaker 3: to Mara a Lago and kind of kissing the ring 660 00:31:38,680 --> 00:31:40,800 Speaker 3: when it comes to Donald Trump, of course, and he 661 00:31:40,880 --> 00:31:44,920 Speaker 3: also is surrounded by the likes of Elon Musk and 662 00:31:44,960 --> 00:31:48,120 Speaker 3: other big supporters of the H one B VISA process. 663 00:31:48,120 --> 00:31:50,760 Speaker 5: And we were talking about the fact that for now. 664 00:31:50,600 --> 00:31:54,560 Speaker 3: Donald Trump does seem to support the initiative despite what 665 00:31:54,600 --> 00:31:57,960 Speaker 3: we saw in the first term. What's your outlook for 666 00:31:58,000 --> 00:31:59,920 Speaker 3: whether that remains the case. 667 00:32:01,480 --> 00:32:03,760 Speaker 18: So what I'm going to be watching out for is 668 00:32:03,880 --> 00:32:06,720 Speaker 18: a repeat of the first Trump administration, and what we're 669 00:32:06,800 --> 00:32:09,280 Speaker 18: ensuring is that companies that we work with are properly 670 00:32:09,360 --> 00:32:12,640 Speaker 18: prepared for some of the same things happening a second 671 00:32:12,720 --> 00:32:15,120 Speaker 18: time around. Honestly, I think it remains to be seen 672 00:32:15,160 --> 00:32:17,680 Speaker 18: the way that the tech leaders that are close to 673 00:32:17,720 --> 00:32:20,640 Speaker 18: President Trump reconcile with the folks that have a little 674 00:32:20,680 --> 00:32:23,000 Speaker 18: bit of a different stance when it comes to legal immigration. 675 00:32:23,440 --> 00:32:27,000 Speaker 18: I of course am optimistic and hoping that it's not 676 00:32:27,080 --> 00:32:29,640 Speaker 18: necessarily going to be an exact repeat, because if we 677 00:32:29,680 --> 00:32:32,200 Speaker 18: take a step back, I think folks will realize that 678 00:32:32,280 --> 00:32:35,200 Speaker 18: this is actually a economic win win on all sides. 679 00:32:35,440 --> 00:32:38,640 Speaker 18: In order for our companies to continue to be global leaders, 680 00:32:38,840 --> 00:32:40,360 Speaker 18: we need to be able to hire the best and 681 00:32:40,400 --> 00:32:42,520 Speaker 18: brightest from around the world, and the H one b 682 00:32:42,600 --> 00:32:44,880 Speaker 18: V says a really important way in which we do that. 683 00:32:46,000 --> 00:32:48,680 Speaker 2: Eric's an Immigration Group partner. He abat Enver. Thanks so 684 00:32:48,760 --> 00:32:51,200 Speaker 2: much for joining us. Do appreciate it coming up. But 685 00:32:51,240 --> 00:32:51,640 Speaker 2: we're going to be. 686 00:32:51,680 --> 00:32:54,880 Speaker 4: Joined by Kathy Gal from Sapphire Ventures to share some 687 00:32:54,920 --> 00:32:57,840 Speaker 4: of the firm's predictions for AI in twenty twenty five. 688 00:32:58,280 --> 00:33:14,920 Speaker 2: This is Bloomberg, Well, the. 689 00:33:14,960 --> 00:33:18,160 Speaker 3: Race to AI enhanced human productivity is on. The coming 690 00:33:18,240 --> 00:33:21,480 Speaker 3: year will feature AI companies grappling with pushing out software 691 00:33:21,760 --> 00:33:24,400 Speaker 3: that can do more with less help from humans and 692 00:33:24,440 --> 00:33:27,760 Speaker 3: figuring out how to train the most powerful models. Bloomberg's 693 00:33:27,840 --> 00:33:31,800 Speaker 3: Rachel Metz has more on AI predictions for twenty twenty five. Rachel, 694 00:33:31,840 --> 00:33:35,200 Speaker 3: Happy New year to you. What can we expect from 695 00:33:35,200 --> 00:33:37,560 Speaker 3: the world of AI when it comes to the coming year. 696 00:33:38,680 --> 00:33:40,840 Speaker 9: I think we're going to see a couple of things. 697 00:33:41,040 --> 00:33:44,080 Speaker 9: One is a lot of focus on so called agents. 698 00:33:44,120 --> 00:33:48,200 Speaker 9: This would be systems that use AI to accomplish tasks, 699 00:33:48,200 --> 00:33:50,280 Speaker 9: either with no help or with just a little bit 700 00:33:50,320 --> 00:33:54,400 Speaker 9: of help from humans. AI software that can go out 701 00:33:54,440 --> 00:33:57,760 Speaker 9: and do something like us, say, help you plan a trip, 702 00:33:58,000 --> 00:34:03,360 Speaker 9: or help you to process certain kinds of information more 703 00:34:03,480 --> 00:34:06,880 Speaker 9: efficiently in a more complicated way than just like looking 704 00:34:06,880 --> 00:34:07,720 Speaker 9: over a document. 705 00:34:07,920 --> 00:34:09,879 Speaker 13: So we've been talking to people a lot about that. 706 00:34:10,719 --> 00:34:12,880 Speaker 9: One of the other things that we're probably going to 707 00:34:12,920 --> 00:34:16,200 Speaker 9: be seeing more hearing people talk more about is data. 708 00:34:16,400 --> 00:34:21,000 Speaker 9: Data Very clearly became a issue for a lot of 709 00:34:21,040 --> 00:34:23,799 Speaker 9: companies this year, not having more data if they want 710 00:34:23,840 --> 00:34:26,800 Speaker 9: to train even more powerful systems than what they've already built. 711 00:34:27,000 --> 00:34:30,080 Speaker 9: So it'll be interesting to see how companies find new 712 00:34:30,120 --> 00:34:33,680 Speaker 9: sources of data if they look at synthetic data, which 713 00:34:34,080 --> 00:34:38,160 Speaker 9: would be in some cases data that's generated by aisystems themselves. 714 00:34:38,719 --> 00:34:41,520 Speaker 4: Bloomberg's Rachel Metz out there in San Francisco. Got to 715 00:34:41,560 --> 00:34:44,200 Speaker 4: leave it there, Thanks Rachel, Well, JENNAI has been a 716 00:34:44,239 --> 00:34:46,560 Speaker 4: dominant force in tech in twenty twenty four, but also 717 00:34:46,680 --> 00:34:49,280 Speaker 4: in VC, and it might remain that way in twenty 718 00:34:49,320 --> 00:34:52,440 Speaker 4: twenty five. That's according to the venture capital firm Sapphire Ventures. 719 00:34:52,800 --> 00:34:55,400 Speaker 4: Kathy Galo's partner at Sapphire Adventures, and she joins us 720 00:34:55,400 --> 00:34:57,719 Speaker 4: now to share some of the firm's predictions. Kathy, I 721 00:34:57,760 --> 00:35:00,440 Speaker 4: want to start with something that Rachel said about this 722 00:35:00,560 --> 00:35:03,200 Speaker 4: being the year where we see more and more AI agents. 723 00:35:03,360 --> 00:35:07,120 Speaker 4: One of Sapphire Adventures predictions is that agents will begin 724 00:35:07,200 --> 00:35:09,399 Speaker 4: to deliver on hype. I got to tell you Katie 725 00:35:09,400 --> 00:35:12,000 Speaker 4: Gridfield sitting right next to me, she's not impressed with 726 00:35:12,080 --> 00:35:13,200 Speaker 4: AI agents right now? 727 00:35:13,440 --> 00:35:14,480 Speaker 2: Is she going to be this year? 728 00:35:15,760 --> 00:35:18,520 Speaker 12: Well, that's a great question. I have to agree with Rachel. 729 00:35:18,560 --> 00:35:20,640 Speaker 12: I think you're going to start to see agents come 730 00:35:20,640 --> 00:35:23,279 Speaker 12: into the scene in a very, very big way. In 731 00:35:23,320 --> 00:35:27,440 Speaker 12: many ways, the AI agent is a natural evolution of 732 00:35:27,480 --> 00:35:30,719 Speaker 12: what we saw with AI copilots and AI chatbots. So 733 00:35:31,120 --> 00:35:37,080 Speaker 12: another example would be, whereas AI agents are able to 734 00:35:37,239 --> 00:35:42,920 Speaker 12: autonomously execute actions or entire workflows, chatboss and co pilots 735 00:35:42,960 --> 00:35:45,640 Speaker 12: were really more Q and A. And where I get 736 00:35:45,680 --> 00:35:48,920 Speaker 12: really excited is the fact that if we can automate 737 00:35:49,200 --> 00:35:53,520 Speaker 12: entire workflows, that frees up so much human capacity to 738 00:35:53,560 --> 00:35:56,600 Speaker 12: do the more creative and more strategic work. Now that 739 00:35:56,680 --> 00:36:00,040 Speaker 12: being said, I do also agree with Katie right A 740 00:36:00,040 --> 00:36:03,960 Speaker 12: lot of the challenges with widespread adoption and implementation of 741 00:36:04,080 --> 00:36:06,279 Speaker 12: agents will be in what I call kind of the 742 00:36:07,239 --> 00:36:12,319 Speaker 12: blast mile problems. This is the governance, the privacy, the protections, 743 00:36:12,800 --> 00:36:14,880 Speaker 12: the devils in the details, and that has yet to 744 00:36:14,920 --> 00:36:15,320 Speaker 12: be seen. 745 00:36:16,040 --> 00:36:16,920 Speaker 2: Okay, agents. 746 00:36:17,000 --> 00:36:20,040 Speaker 4: One of your predictions, what about when it comes to 747 00:36:20,480 --> 00:36:23,399 Speaker 4: AI generated video? Because twenty twenty four was the year 748 00:36:24,160 --> 00:36:27,640 Speaker 4: we saw a wider release of Sora from Open AI. 749 00:36:27,680 --> 00:36:29,560 Speaker 4: I think a lot of people were pretty impressed by that. 750 00:36:30,080 --> 00:36:32,439 Speaker 4: How are we going to see AI generated video this year? 751 00:36:33,400 --> 00:36:35,239 Speaker 12: I think we're going to see a lot of multimodal 752 00:36:35,320 --> 00:36:37,839 Speaker 12: in general, tim but we're going to see a lot 753 00:36:37,840 --> 00:36:40,200 Speaker 12: more video and we're going to see a lot more voice. 754 00:36:40,360 --> 00:36:43,279 Speaker 12: The models have been developing extremely rapidly. I don't know 755 00:36:43,320 --> 00:36:45,600 Speaker 12: if you guys have seen some of the recent AI 756 00:36:45,719 --> 00:36:50,400 Speaker 12: generated videos from Sora and other video models, but they're incredible. 757 00:36:50,640 --> 00:36:53,319 Speaker 12: They are starting to feel a lot more lifelike. The 758 00:36:53,440 --> 00:36:56,359 Speaker 12: latency is being reduced. The same goes with voice, So 759 00:36:56,400 --> 00:36:59,400 Speaker 12: I think we're going to see much more widespread adoption 760 00:36:59,760 --> 00:37:04,080 Speaker 12: as individual video and voice applications as well as full 761 00:37:04,200 --> 00:37:08,520 Speaker 12: multimodal applications, which means there will be voice, they'll be text, 762 00:37:08,719 --> 00:37:11,239 Speaker 12: there'll be video and images combined into one. 763 00:37:11,560 --> 00:37:14,160 Speaker 3: Yeah. I've seen some of those videos and they're pretty creepy. 764 00:37:14,200 --> 00:37:15,440 Speaker 3: They're very realistic. 765 00:37:16,000 --> 00:37:16,320 Speaker 19: Yess. 766 00:37:16,800 --> 00:37:18,640 Speaker 5: So just if you call on Twitter or x. 767 00:37:18,640 --> 00:37:20,560 Speaker 3: Right now, you can find a whole bunch of them. 768 00:37:20,600 --> 00:37:22,439 Speaker 3: But Kathy, I want to talk a little bit more 769 00:37:22,560 --> 00:37:25,800 Speaker 3: about how companies might use AI in the year ahead 770 00:37:25,800 --> 00:37:27,759 Speaker 3: because I speak to a lot of investors and they 771 00:37:27,760 --> 00:37:30,239 Speaker 3: want to stay in the hardware space, investing in the 772 00:37:30,320 --> 00:37:34,160 Speaker 3: chip makers because they're not clear yet on how companies 773 00:37:34,200 --> 00:37:38,000 Speaker 3: will actually use AI and maybe actually boost productivity. Do 774 00:37:38,080 --> 00:37:40,800 Speaker 3: we get further along in that investment timeline in twenty 775 00:37:40,840 --> 00:37:41,359 Speaker 3: twenty five. 776 00:37:42,280 --> 00:37:44,800 Speaker 12: That's such a great question, Katie. Well, let's talk about 777 00:37:44,840 --> 00:37:47,200 Speaker 12: what happened in twenty twenty four to set the stage 778 00:37:47,280 --> 00:37:49,640 Speaker 12: for what we think might happen in twenty twenty five. 779 00:37:50,120 --> 00:37:52,560 Speaker 12: In my view, twenty twenty four is a year where 780 00:37:52,600 --> 00:37:56,960 Speaker 12: Ai really went mainstream. Ninety two percent of the Fortune 781 00:37:57,040 --> 00:38:03,280 Speaker 12: five hundred adopted Jenai solutions internally and spent around fourteen 782 00:38:03,320 --> 00:38:06,680 Speaker 12: billion dollars on these solutions. But what's even more importantly, 783 00:38:07,160 --> 00:38:13,720 Speaker 12: a lot of major companies, so think Walmart, JP, Morgan, Chase, Microsoft, Google, 784 00:38:13,840 --> 00:38:17,440 Speaker 12: all announced in their public earnings calls that they've had 785 00:38:17,520 --> 00:38:23,840 Speaker 12: significant success in significant measurable ROI using their Genai projects internally. 786 00:38:24,120 --> 00:38:26,200 Speaker 12: So that gives me a lot of hope and confidence 787 00:38:26,239 --> 00:38:31,200 Speaker 12: that a budgets will continue to expand into twenty twenty five. Now, 788 00:38:31,239 --> 00:38:36,000 Speaker 12: the big question is can the hype turn into actual 789 00:38:36,080 --> 00:38:39,719 Speaker 12: proof in a wide scale manner in twenty twenty five. 790 00:38:40,000 --> 00:38:41,640 Speaker 12: And in order to see that, we're going to have 791 00:38:41,680 --> 00:38:45,440 Speaker 12: to see more adoption amongst all the employees at a company, 792 00:38:45,520 --> 00:38:49,040 Speaker 12: not just within certain functions or certain specific projects, and 793 00:38:49,080 --> 00:38:51,800 Speaker 12: we have to see more guidelines on how we actually 794 00:38:51,840 --> 00:38:53,560 Speaker 12: measure ROI. 795 00:38:53,440 --> 00:38:55,800 Speaker 3: All right, Kathy, great to speak with you, looking forward 796 00:38:55,800 --> 00:38:58,439 Speaker 3: to checking in as we get deeper into twenty twenty five. 797 00:38:58,440 --> 00:38:59,239 Speaker 5: That is Kathy Gal. 798 00:38:59,360 --> 00:39:08,359 Speaker 3: She is partner over at Sapphire Ventures. 799 00:39:09,480 --> 00:39:12,360 Speaker 4: Let's talk media deals because Paramount and Skuidance responded to 800 00:39:12,360 --> 00:39:15,680 Speaker 4: critics of their pending merger, arguing that the critics filings 801 00:39:15,719 --> 00:39:19,439 Speaker 4: are defective and lack merit. The company's claim critics fail 802 00:39:19,520 --> 00:39:21,919 Speaker 4: to show how they will be harmed by the deal 803 00:39:22,280 --> 00:39:25,760 Speaker 4: and that some of the proposed measures are unconstitutional. Paramount 804 00:39:25,760 --> 00:39:28,239 Speaker 4: agreed to merge with Skydance back in July, and the 805 00:39:28,280 --> 00:39:32,360 Speaker 4: deal would make Skydance's founder David Ellison the controlling shareholder 806 00:39:32,400 --> 00:39:35,720 Speaker 4: and CEO of Paramount. Now, let's take a little wider 807 00:39:35,760 --> 00:39:37,960 Speaker 4: look into the world of entertainment and the box office 808 00:39:38,000 --> 00:39:41,040 Speaker 4: this coming year with Bloomberg's Chris Palmery, Chris, I want 809 00:39:41,040 --> 00:39:43,200 Speaker 4: to talk about the box office this year as well 810 00:39:43,239 --> 00:39:46,040 Speaker 4: as what's happening with Paramount and Skuydance, because this is 811 00:39:46,080 --> 00:39:49,040 Speaker 4: the deal that really, as you know, just never ends. 812 00:39:49,239 --> 00:39:51,840 Speaker 4: What specifically did the critics do the critics have a 813 00:39:51,880 --> 00:39:54,240 Speaker 4: problem with when it comes to this pending merger. 814 00:39:55,760 --> 00:39:58,839 Speaker 20: Well, there was some sort of a smattering of opponents, 815 00:40:00,000 --> 00:40:04,040 Speaker 20: I guess most notably is a group that is challenging them. 816 00:40:04,600 --> 00:40:09,040 Speaker 20: It's supposedly a nonpartisan political political group, but tends to 817 00:40:09,160 --> 00:40:13,040 Speaker 20: side with conservatives and saying that the you know, big 818 00:40:13,080 --> 00:40:17,720 Speaker 20: media is biased and said that you know, CBS News 819 00:40:18,360 --> 00:40:21,200 Speaker 20: you know needs to you know, speak to everybody in 820 00:40:21,239 --> 00:40:25,319 Speaker 20: the country, and that we actually got a conciliatory sort 821 00:40:25,320 --> 00:40:27,759 Speaker 20: of statement from them today saying that they liked what 822 00:40:27,800 --> 00:40:31,080 Speaker 20: they heard in Paramounts filing yesterday to the FCC. So 823 00:40:31,320 --> 00:40:33,240 Speaker 20: you know, that was one of the hurdles. We'll still 824 00:40:33,280 --> 00:40:39,560 Speaker 20: likely hear more from the FCC. Brendan car, the incoming chairman, 825 00:40:39,719 --> 00:40:43,279 Speaker 20: is of early outspot on this issue of fairness in 826 00:40:43,320 --> 00:40:45,960 Speaker 20: the media, and that will be sort of the final 827 00:40:46,040 --> 00:40:46,960 Speaker 20: hurdle probably for. 828 00:40:47,000 --> 00:40:50,279 Speaker 3: Paramount so TVD what happens there. I will note that 829 00:40:50,560 --> 00:40:54,320 Speaker 3: Paramount Chairs fell twenty nine percent last year. They actually 830 00:40:54,320 --> 00:40:57,319 Speaker 3: haven't posted a positive year since twenty sixteen, Tim, so 831 00:40:58,080 --> 00:41:00,240 Speaker 3: some good news is needed for that company. 832 00:41:00,320 --> 00:41:00,880 Speaker 5: We'll see. 833 00:41:00,960 --> 00:41:02,600 Speaker 3: I do want to talk about the box office though, 834 00:41:02,600 --> 00:41:05,080 Speaker 3: while we have you Chris because there's this frustration out 835 00:41:05,080 --> 00:41:07,600 Speaker 3: there that I'm sure you're well acquainted with, is that 836 00:41:07,840 --> 00:41:11,600 Speaker 3: there's nothing original anymore. It's just all sequels and it's 837 00:41:11,680 --> 00:41:15,520 Speaker 3: reimaginations of old movies. Are we expecting more of the 838 00:41:15,560 --> 00:41:17,080 Speaker 3: same in twenty twenty five? 839 00:41:19,040 --> 00:41:19,560 Speaker 13: Yes and no. 840 00:41:19,680 --> 00:41:22,359 Speaker 20: There are certainly gonna be a lot of sequels. You know, 841 00:41:22,520 --> 00:41:27,359 Speaker 20: Mission Imposswell, Captain America Avatar, so we'll be plenty of that. 842 00:41:27,880 --> 00:41:31,359 Speaker 20: There are a bunch of movies coming out f One 843 00:41:31,480 --> 00:41:34,719 Speaker 20: for example. Once it won't resonate until you start to 844 00:41:34,719 --> 00:41:38,200 Speaker 20: see the ads, but original movies from all tour directors, 845 00:41:39,120 --> 00:41:42,280 Speaker 20: you know who may stand out. And that's why analysts 846 00:41:42,320 --> 00:41:44,719 Speaker 20: are predicting that this year will be a little bit 847 00:41:44,760 --> 00:41:48,600 Speaker 20: better than last year. Still not back to the pre 848 00:41:48,680 --> 00:41:53,640 Speaker 20: pandemic levels, but you know, the potentially the best year 849 00:41:53,760 --> 00:41:55,400 Speaker 20: for the box office since the pandemic. 850 00:41:55,560 --> 00:41:58,600 Speaker 4: You say, still not back to do we ever get 851 00:41:58,640 --> 00:41:59,839 Speaker 4: back to pre pandemic levels? 852 00:42:00,120 --> 00:42:03,080 Speaker 19: An I was saying, well, I mean if you look 853 00:42:03,120 --> 00:42:06,640 Speaker 19: at the actual attendance numbers, it is way down, I 854 00:42:06,719 --> 00:42:09,440 Speaker 19: mean almost half the level of people going to the 855 00:42:09,440 --> 00:42:10,600 Speaker 19: theaters that they used to. 856 00:42:10,840 --> 00:42:12,799 Speaker 20: I mean, ticket prices are up and that sort of 857 00:42:12,800 --> 00:42:13,799 Speaker 20: helps some of it. 858 00:42:13,880 --> 00:42:14,520 Speaker 2: More people are. 859 00:42:14,440 --> 00:42:18,400 Speaker 20: Going to these big screen at a higher price ticket formats, 860 00:42:19,080 --> 00:42:22,840 Speaker 20: so that's helping the overall Fox office number. But yeah, no, 861 00:42:23,080 --> 00:42:25,640 Speaker 20: Americans are definitely not going. 862 00:42:25,400 --> 00:42:26,600 Speaker 13: To the movies like they used to. 863 00:42:27,239 --> 00:42:30,320 Speaker 20: There's just so much alternatives online and in many cases 864 00:42:30,320 --> 00:42:33,440 Speaker 20: that those movies come online in just a matter of weeks. 865 00:42:33,719 --> 00:42:36,239 Speaker 3: All right, Chris, gott to leave it there. Really appreciate 866 00:42:36,280 --> 00:42:38,680 Speaker 3: your time. That is Bloomberg's Chris Paul Mary. 867 00:42:39,600 --> 00:42:40,520 Speaker 2: Do you ever go to the movies? 868 00:42:40,600 --> 00:42:42,480 Speaker 3: I went to the movies on Christmas Day. I saw 869 00:42:42,520 --> 00:42:44,719 Speaker 3: a Complete Unknown starring Timothy shell May. 870 00:42:44,719 --> 00:42:45,239 Speaker 5: It was really good. 871 00:42:45,239 --> 00:42:46,439 Speaker 2: Actually, that's the Bob Dylan one. 872 00:42:46,520 --> 00:42:48,719 Speaker 5: Yeah, and I guess that is new. 873 00:42:48,840 --> 00:42:50,920 Speaker 3: I mean, Bob Dylan's been alive for a while, but 874 00:42:51,440 --> 00:42:53,200 Speaker 3: it's new content in any case. 875 00:42:53,320 --> 00:42:55,640 Speaker 5: That does it for this edition of Bloomberg Technology. 876 00:42:55,960 --> 00:42:58,600 Speaker 3: Next week, be Tech is heading out to see us 877 00:42:58,640 --> 00:43:01,279 Speaker 3: in Las Vegas two in for conversations with some of 878 00:43:01,360 --> 00:43:04,000 Speaker 3: the biggest names in AI, chicks and more. 879 00:43:04,120 --> 00:43:06,160 Speaker 4: And don't forget to check out our podcast. You can 880 00:43:06,160 --> 00:43:09,320 Speaker 4: find it on the terminal as well as online on Apple, Spotify, 881 00:43:09,400 --> 00:43:11,520 Speaker 4: and iHeart This is Bloomberg