1 00:00:02,720 --> 00:00:09,680 Speaker 1: Bloomberg Audio Studios, podcasts, radio news from the heart of 2 00:00:09,720 --> 00:00:15,720 Speaker 1: where innovation, money and power collide in Silicon Valley and beyond. 3 00:00:15,880 --> 00:00:33,400 Speaker 1: This is Bloomberg Technology with Caroline Hyde and Ed Ludlowe. 4 00:00:35,200 --> 00:00:37,160 Speaker 2: Good morning, everybody. I'm Tim Steneveeg and. 5 00:00:37,080 --> 00:00:40,880 Speaker 3: I'm Katie Greifeld, both in New York. This is Bloomberg Technology. 6 00:00:41,000 --> 00:00:43,600 Speaker 2: Coming on at Tesla's annual eb sales dropped for the 7 00:00:43,640 --> 00:00:45,600 Speaker 2: first time in over a decade. 8 00:00:45,640 --> 00:00:48,479 Speaker 3: And speaking of Tesla, the company also in focus following 9 00:00:48,479 --> 00:00:52,760 Speaker 3: a cybertruck explosion outside the Trump Las Vegas Hotel yesterday. 10 00:00:53,080 --> 00:00:53,920 Speaker 3: We'll have the latest. 11 00:00:54,040 --> 00:00:56,480 Speaker 2: Man TikTok is feeling the heat as its potential ban 12 00:00:56,760 --> 00:01:00,400 Speaker 2: draws near. We'll discuss a little later this hour. First, though, 13 00:01:00,400 --> 00:01:02,640 Speaker 2: a check on markets on this first trading day of 14 00:01:02,680 --> 00:01:04,360 Speaker 2: twenty twenty five KT. I don't know about you, but 15 00:01:04,400 --> 00:01:06,880 Speaker 2: I'm still writing twenty twenty four on all my checks. 16 00:01:06,920 --> 00:01:10,039 Speaker 3: That's terrible. I think we can still safely say happy New. 17 00:01:10,000 --> 00:01:11,600 Speaker 2: Year, though, thanks Happy New Year. 18 00:01:11,640 --> 00:01:13,640 Speaker 3: I think a lot of investors are happy we turned 19 00:01:13,640 --> 00:01:14,200 Speaker 3: the page. 20 00:01:14,240 --> 00:01:16,720 Speaker 2: I think they are too. Although the Nasdaq had great 21 00:01:16,800 --> 00:01:19,000 Speaker 2: years back to back in twenty twenty four and twenty 22 00:01:19,000 --> 00:01:21,800 Speaker 2: twenty three, up today the Nasdaq one hundred by three 23 00:01:21,880 --> 00:01:24,840 Speaker 2: tenths of one percent. We do have about seventy percent 24 00:01:24,840 --> 00:01:27,319 Speaker 2: of the stocks in the Nasdaq one hundred higher today 25 00:01:27,920 --> 00:01:30,720 Speaker 2: five of the seven mag seven higher, with only Tesla 26 00:01:30,800 --> 00:01:33,640 Speaker 2: and Apple lower weighing on today's trade. KT. I know 27 00:01:33,680 --> 00:01:36,200 Speaker 2: you're gonna have more on Tesla in just a minute. 28 00:01:36,319 --> 00:01:39,280 Speaker 2: I mentioned back to back years of gains twenty twenty 29 00:01:39,400 --> 00:01:42,000 Speaker 2: four and Nasdaq one hundred is up nearly twenty five 30 00:01:42,040 --> 00:01:46,440 Speaker 2: percent twenty twenty three, up by more than fifty percent. 31 00:01:46,760 --> 00:01:49,400 Speaker 2: Speaking of back to back years of gains, Bitcoin higher 32 00:01:49,440 --> 00:01:52,280 Speaker 2: today for a third day in a row, one point 33 00:01:52,360 --> 00:01:55,760 Speaker 2: seven percent to the upside, up by about sixteen hundred dollars. 34 00:01:55,760 --> 00:01:58,120 Speaker 2: It did fall about three percent in December, up more 35 00:01:58,160 --> 00:01:59,960 Speaker 2: than one hundred twenty percent, and twenty twenty four k 36 00:02:00,520 --> 00:02:02,720 Speaker 2: of more than one hundred and fifty percent in twenty 37 00:02:02,720 --> 00:02:03,240 Speaker 2: twenty three. 38 00:02:03,280 --> 00:02:05,360 Speaker 3: That's the thing you mentioned, some of those stats, those 39 00:02:05,920 --> 00:02:08,959 Speaker 3: yearly stats, especially for the NASAQ one hundred. That's even 40 00:02:09,000 --> 00:02:11,960 Speaker 3: with the big benchmarks puking in the final week of 41 00:02:12,000 --> 00:02:15,120 Speaker 3: the year. So clearly a bit of relief today, even 42 00:02:15,160 --> 00:02:17,880 Speaker 3: with Tesla doing its darnedness to try to drag this 43 00:02:17,960 --> 00:02:20,359 Speaker 3: index down. Let's take a look at shares right now. 44 00:02:20,360 --> 00:02:23,160 Speaker 3: You can see down about five point six percent. Of course, 45 00:02:23,440 --> 00:02:26,160 Speaker 3: we got their fourth quarter deliveries this morning, coming in 46 00:02:26,200 --> 00:02:29,400 Speaker 3: at four hundred and ninety five thousand vehicles that missed 47 00:02:29,520 --> 00:02:32,600 Speaker 3: analyst projections. They had been penciling in about five hundred 48 00:02:32,600 --> 00:02:36,240 Speaker 3: and twelve thousand vehicles delivered, and you can see that 49 00:02:36,280 --> 00:02:38,960 Speaker 3: disappointment in the shares right now. Tesla also had a 50 00:02:39,000 --> 00:02:41,880 Speaker 3: fantastic year in twenty twenty four, but it came with 51 00:02:42,000 --> 00:02:45,440 Speaker 3: a ton of volatility ends a lot of political cross 52 00:02:45,480 --> 00:02:46,240 Speaker 3: currents as well. 53 00:02:46,320 --> 00:02:49,040 Speaker 2: Yeah, that's certainly something we'll be talking about in just 54 00:02:49,120 --> 00:02:50,880 Speaker 2: a few minutes. But how about this last few months 55 00:02:50,919 --> 00:02:54,440 Speaker 2: of twenty twenty four for Tesla? I know, probably remarkable. 56 00:02:53,960 --> 00:02:56,720 Speaker 3: Well remarkable too because Elon Musk some have them calling 57 00:02:56,800 --> 00:03:00,320 Speaker 3: him the co president President elect Donald Trump doesn't of that, 58 00:03:00,560 --> 00:03:04,360 Speaker 3: and President elected Donald Trump absolutely dominating all of the 59 00:03:04,440 --> 00:03:06,920 Speaker 3: year ahead outlooks. Let's talk a little bit more about that, 60 00:03:06,960 --> 00:03:10,600 Speaker 3: because Wall Street has its eyes laser focused on Trump's 61 00:03:10,600 --> 00:03:13,720 Speaker 3: return to the White House and trying to gauge what 62 00:03:13,840 --> 00:03:17,320 Speaker 3: to expect this year from his anticipated pro business policies, 63 00:03:17,520 --> 00:03:21,399 Speaker 3: but also his tough talk on global trade and general unpredictability. 64 00:03:21,680 --> 00:03:24,160 Speaker 3: You can call it that. Bloomberg News has collated over 65 00:03:24,240 --> 00:03:27,920 Speaker 3: seven hundred key calls from more than fifty leading financial institutions, 66 00:03:28,080 --> 00:03:30,720 Speaker 3: and Bloomberg's needs to say. COVID is here to break 67 00:03:30,760 --> 00:03:33,800 Speaker 3: it all down. It's the subject of today's big Take, Denitza. 68 00:03:33,840 --> 00:03:36,200 Speaker 3: It's great to have you with us since I made 69 00:03:36,280 --> 00:03:37,960 Speaker 3: this point, of course on open interest, so I'll make 70 00:03:38,000 --> 00:03:40,600 Speaker 3: it again. It's really hard to talk about twenty twenty 71 00:03:40,600 --> 00:03:42,280 Speaker 3: five without talking about Donald Trump. 72 00:03:43,680 --> 00:03:46,520 Speaker 4: Yeah, it's clearly the biggest word this year. Everything is 73 00:03:46,560 --> 00:03:51,720 Speaker 4: Donald Trump, Tariff's American exceptionalism. These are the worst we 74 00:03:51,800 --> 00:03:55,760 Speaker 4: sow through all those outlooks, which were compiled by Sam Palter. 75 00:03:55,880 --> 00:03:58,840 Speaker 4: Of course, and last year, the year before, we were 76 00:03:58,880 --> 00:04:02,160 Speaker 4: talking about hardline. We're talking so much about monetary policy. 77 00:04:02,160 --> 00:04:04,520 Speaker 4: We're talking about the economy, which is still an important 78 00:04:04,520 --> 00:04:09,520 Speaker 4: factor here, but definitely Donald Trump has taken center stage. 79 00:04:10,040 --> 00:04:11,880 Speaker 4: What we have seen is a lot of people are 80 00:04:11,920 --> 00:04:17,120 Speaker 4: betting on American companies and are not pretty warming up 81 00:04:17,160 --> 00:04:21,240 Speaker 4: towards international companies despite the fact that they obviously are 82 00:04:21,360 --> 00:04:25,839 Speaker 4: a lot cheaper, but US assets are taking central stage. 83 00:04:25,960 --> 00:04:31,720 Speaker 4: JP Morgan says, US exceptionalism is getting reinforced. We're talking 84 00:04:31,720 --> 00:04:35,160 Speaker 4: about AI. We have a big call from bn Y 85 00:04:35,400 --> 00:04:38,800 Speaker 4: saying that AIS role in the world will surpass that 86 00:04:38,960 --> 00:04:43,880 Speaker 4: of other technologies that propel earlier periods of such growth. 87 00:04:44,000 --> 00:04:47,839 Speaker 4: So we're seeing a lot of AI optimism. That comes 88 00:04:47,960 --> 00:04:52,359 Speaker 4: also with conscious calls of broading of the rally of 89 00:04:52,400 --> 00:04:56,800 Speaker 4: people saying that more and more companies use AI, hence 90 00:04:56,920 --> 00:04:58,040 Speaker 4: they will join that. 91 00:04:59,440 --> 00:05:02,800 Speaker 2: AI for Keral, It's a great piece. Check it out 92 00:05:02,800 --> 00:05:05,640 Speaker 2: by Bloomberg Sam Potter, Janisa Sikoba also working on that 93 00:05:05,720 --> 00:05:08,040 Speaker 2: along with many other folks of the Bloomberg News team. 94 00:05:08,040 --> 00:05:09,680 Speaker 2: You can check it out now at Bloomberg dot com 95 00:05:09,720 --> 00:05:12,919 Speaker 2: slash Big Take. Well, let's now bring in Keith Buchanan, 96 00:05:12,960 --> 00:05:16,480 Speaker 2: senior portfolio manager at Globalt Investments and has about three 97 00:05:16,480 --> 00:05:19,760 Speaker 2: billion dollars in assets under management. For more Keith, you 98 00:05:19,920 --> 00:05:22,000 Speaker 2: heard me mention the back to back years of gains 99 00:05:22,080 --> 00:05:26,000 Speaker 2: on the Nasdaq one hundred remarkable couple of years. Do 100 00:05:26,000 --> 00:05:28,479 Speaker 2: you think there's still room to run for megacap tech? 101 00:05:30,640 --> 00:05:32,040 Speaker 5: Hi, and thanks again for having me. 102 00:05:32,200 --> 00:05:35,840 Speaker 6: We actually have been moving into more balanced stants over 103 00:05:35,839 --> 00:05:40,159 Speaker 6: the last couple of months, and we're really focused on 104 00:05:40,520 --> 00:05:43,320 Speaker 6: the growth versus value collision course, if you will, that's 105 00:05:43,320 --> 00:05:47,039 Speaker 6: set up for twenty twenty five among other actually you know, 106 00:05:47,600 --> 00:05:51,360 Speaker 6: carryous collision courses across our American economy and also for markets. 107 00:05:52,080 --> 00:05:54,200 Speaker 6: So we've moved into a more balance stamps because we 108 00:05:54,240 --> 00:05:58,920 Speaker 6: look at growth as this dominant really over the marketplace 109 00:05:58,960 --> 00:06:02,000 Speaker 6: for WILLI says a pronuncial crisis minus a few years, 110 00:06:02,040 --> 00:06:03,520 Speaker 6: most recently in twenty twenty. 111 00:06:03,240 --> 00:06:05,000 Speaker 5: Two, and at last phase. 112 00:06:05,040 --> 00:06:07,680 Speaker 6: Of course, I've been moved by AI spending the story, 113 00:06:08,279 --> 00:06:11,000 Speaker 6: but you questioning at what cost does that come at? 114 00:06:11,000 --> 00:06:11,040 Speaker 7: It? 115 00:06:11,240 --> 00:06:15,839 Speaker 6: Are we looking at valuation that grows into infinity and 116 00:06:15,920 --> 00:06:19,360 Speaker 6: what point does that price end the scenario that we're 117 00:06:19,440 --> 00:06:21,840 Speaker 6: now also the growth that's over to come over the 118 00:06:21,880 --> 00:06:24,320 Speaker 6: next couple of years. Also at what cost does this 119 00:06:24,440 --> 00:06:26,800 Speaker 6: AI spending and this productivity come. 120 00:06:27,839 --> 00:06:29,960 Speaker 5: Of course that's a boon to earnings, but does it 121 00:06:30,000 --> 00:06:30,279 Speaker 5: come in. 122 00:06:30,560 --> 00:06:34,120 Speaker 6: Wage gains and workers That could cause a little more 123 00:06:34,160 --> 00:06:37,800 Speaker 6: consternation among the consumer and consumer spending. So we're balancing 124 00:06:37,839 --> 00:06:39,120 Speaker 6: all of those right now, and it led us to 125 00:06:39,160 --> 00:06:40,840 Speaker 6: a more balanced approach. Is how we look at the 126 00:06:40,880 --> 00:06:44,479 Speaker 6: US markets and not preferring growth over value any longer. 127 00:06:44,560 --> 00:06:47,440 Speaker 5: We actually have been in that stands for several years frior. 128 00:06:47,600 --> 00:06:49,120 Speaker 3: Well when it comes to big tech and when it 129 00:06:49,120 --> 00:06:50,880 Speaker 3: comes to the Magnificent seven. I think a lot of 130 00:06:50,880 --> 00:06:53,640 Speaker 3: people would agree with you on these stretched valuations. But 131 00:06:54,000 --> 00:06:56,440 Speaker 3: the pushback I keep hearing to that point is that 132 00:06:56,839 --> 00:06:58,919 Speaker 3: you have the earnings growth to back it up. That 133 00:06:59,040 --> 00:07:03,760 Speaker 3: basically the fund of mentals are justifying these eyewatering valuations. 134 00:07:03,800 --> 00:07:05,880 Speaker 3: And if you expect to see some of the momentum 135 00:07:05,920 --> 00:07:08,719 Speaker 3: behind big tech fade, are you saying that you'd expect 136 00:07:08,720 --> 00:07:10,880 Speaker 3: earnings to disappoint a bit in twenty twenty five. 137 00:07:13,120 --> 00:07:15,960 Speaker 6: Not necessarily, And that's why we haven't gone underweight and growth. 138 00:07:16,000 --> 00:07:18,760 Speaker 5: We actually just in a neutral stance, if you will. 139 00:07:19,160 --> 00:07:21,840 Speaker 6: We don't see the case for that disappointment to come 140 00:07:21,880 --> 00:07:24,680 Speaker 6: in twenty twenty five, even twenty twenty six. As we 141 00:07:24,760 --> 00:07:27,560 Speaker 6: grow into like you mentioned, are grown into multiples that 142 00:07:27,640 --> 00:07:29,720 Speaker 6: seem lofty, you know a year and a half ago, 143 00:07:29,880 --> 00:07:34,960 Speaker 6: don't seem as lofty anymore today. But that maturation of 144 00:07:35,000 --> 00:07:37,840 Speaker 6: this growth phase and investment has to come at some 145 00:07:38,000 --> 00:07:42,280 Speaker 6: point where the market price is in fully the bowlt 146 00:07:42,320 --> 00:07:44,160 Speaker 6: suspending this flooding this marketplace. 147 00:07:44,720 --> 00:07:46,120 Speaker 5: Agree again, we don't feel like. 148 00:07:46,080 --> 00:07:48,240 Speaker 6: These stocks are broken or any the part of the 149 00:07:48,320 --> 00:07:51,600 Speaker 6: story is is amiss at all. But we think that 150 00:07:51,720 --> 00:07:55,200 Speaker 6: growth actually could come more and sync with the value 151 00:07:55,440 --> 00:07:57,080 Speaker 6: as far as the performance over the next couple of 152 00:07:57,160 --> 00:08:00,600 Speaker 6: years as the market digests those valuations and time. 153 00:08:00,760 --> 00:08:02,720 Speaker 3: Well, let's talk a little bit more about value, because 154 00:08:02,760 --> 00:08:05,240 Speaker 3: of course value has broken a lot of hearts over 155 00:08:05,320 --> 00:08:08,960 Speaker 3: the past couple of years, and many expect that to continue. 156 00:08:09,040 --> 00:08:11,440 Speaker 3: So you have the valuation piece looking good when it 157 00:08:11,480 --> 00:08:13,800 Speaker 3: comes to a lot of these value names, a lot 158 00:08:13,800 --> 00:08:16,800 Speaker 3: of these value indexes. But are you expecting to see 159 00:08:17,000 --> 00:08:20,400 Speaker 3: actually that earnings growth broadened out, especially if we are 160 00:08:20,520 --> 00:08:22,480 Speaker 3: in a higher for longer sort of environment where the 161 00:08:22,480 --> 00:08:25,080 Speaker 3: FED can't cut as much as maybe some have been open. 162 00:08:26,120 --> 00:08:28,880 Speaker 5: Okay, almost has to. And we've looked at this closely. 163 00:08:29,680 --> 00:08:32,160 Speaker 6: From a bottom of standpoint, the market expects earnings per 164 00:08:32,280 --> 00:08:34,840 Speaker 6: share growth of thirteen percent of the twenty twenty five 165 00:08:35,440 --> 00:08:38,000 Speaker 6: that's not as concentrated in the max seven as it 166 00:08:38,080 --> 00:08:41,160 Speaker 6: was in twenty twenty two and twenty twenty three, and 167 00:08:41,280 --> 00:08:43,880 Speaker 6: especially in twenty twenty four as well, So that broadening 168 00:08:43,920 --> 00:08:46,320 Speaker 6: has to occur and evaluations just don't show that that 169 00:08:46,400 --> 00:08:50,040 Speaker 6: broadening is expected. If you look at names like financials 170 00:08:50,080 --> 00:08:53,040 Speaker 6: that start to appreciate some of that, and those stocks 171 00:08:53,080 --> 00:08:55,560 Speaker 6: have performed over the past twelve months. We look at 172 00:08:55,600 --> 00:08:58,400 Speaker 6: other spaces like that offer the opportunity for the valuations 173 00:08:58,400 --> 00:09:01,600 Speaker 6: to grow into a broadening of earnings that the marketing 174 00:09:01,600 --> 00:09:04,440 Speaker 6: spect from a bottom up standpoint, but from a top 175 00:09:04,440 --> 00:09:07,520 Speaker 6: down standpoint and also from an index standpoint, it really 176 00:09:07,520 --> 00:09:10,960 Speaker 6: hasn't really materialized in a lot of those value names 177 00:09:11,160 --> 00:09:15,560 Speaker 6: and those industries that traditionally are are categorized as value 178 00:09:15,559 --> 00:09:18,160 Speaker 6: orient and so we're really excited about just a balance 179 00:09:18,520 --> 00:09:22,480 Speaker 6: that that Arnie's growth could lead to performance and value sectors, 180 00:09:23,320 --> 00:09:25,839 Speaker 6: and we feel like growth doesn't necessarily have to bleed 181 00:09:25,880 --> 00:09:26,920 Speaker 6: out in order for that to happen. 182 00:09:27,160 --> 00:09:27,400 Speaker 8: Keith. 183 00:09:27,440 --> 00:09:30,200 Speaker 2: Over the last couple of years, really since the public 184 00:09:30,240 --> 00:09:32,720 Speaker 2: introduction of chat GPT, we've seen a lot of the 185 00:09:32,760 --> 00:09:36,840 Speaker 2: AI gains go to just a handful of companies, including 186 00:09:36,880 --> 00:09:42,079 Speaker 2: the megacaps, you know, hyperscalers and whatnot. I'm wondering when 187 00:09:42,120 --> 00:09:45,720 Speaker 2: we're starting to see those AI gains go to other 188 00:09:45,800 --> 00:09:48,760 Speaker 2: types of companies, like when is AI going to allow 189 00:09:48,840 --> 00:09:52,120 Speaker 2: Procter and gamble to sell more tied and toilet paper 190 00:09:52,520 --> 00:09:53,400 Speaker 2: with fewer people. 191 00:09:55,440 --> 00:09:59,720 Speaker 6: We're starting to see actually some implementation of AI that 192 00:09:59,760 --> 00:10:04,360 Speaker 6: could benefit sectors and names and industries outside of the 193 00:10:04,440 --> 00:10:05,319 Speaker 6: Max seven already. 194 00:10:05,480 --> 00:10:08,520 Speaker 5: You see that in healthcare started talking about how some. 195 00:10:08,640 --> 00:10:13,160 Speaker 6: Development of drugs has accelerated and they feel like they 196 00:10:13,160 --> 00:10:15,559 Speaker 6: can be more efficient in how they allocate resources because 197 00:10:15,600 --> 00:10:19,400 Speaker 6: of artificial intelligence. They've implement it within those platforms. So 198 00:10:20,120 --> 00:10:23,559 Speaker 6: again that's the spending comes first, productivity games come next, 199 00:10:23,600 --> 00:10:25,880 Speaker 6: and we should see that materialize across the board. 200 00:10:25,880 --> 00:10:27,559 Speaker 5: Again, that's the case. 201 00:10:27,360 --> 00:10:30,839 Speaker 6: For the spending, of course will grow to those names 202 00:10:30,840 --> 00:10:35,400 Speaker 6: that put this technology and implement this within economy. But 203 00:10:35,440 --> 00:10:38,920 Speaker 6: as all industries start to implement some level of higher 204 00:10:38,920 --> 00:10:42,760 Speaker 6: productivity that benefits names across the board, and those with 205 00:10:42,920 --> 00:10:47,120 Speaker 6: lower evaluations and theory should have a quicker move when 206 00:10:47,160 --> 00:10:49,080 Speaker 6: those earnings start to accelerate it and it. 207 00:10:49,040 --> 00:10:51,760 Speaker 3: Will be fascinating to see when the investing timeline sort 208 00:10:51,800 --> 00:10:54,560 Speaker 3: of turns to more of those applications versus just the 209 00:10:54,640 --> 00:10:56,880 Speaker 3: hardware and the chip makers. But keys, we got to 210 00:10:56,960 --> 00:10:58,920 Speaker 3: leave it there. Great to kick off twenty twenty five 211 00:10:58,960 --> 00:11:02,319 Speaker 3: with you. That is Buchanan. He is senior portfolio manager 212 00:11:02,440 --> 00:11:06,840 Speaker 3: over at Global Investments. Now coming up, Tesla disappoints more 213 00:11:06,840 --> 00:11:10,559 Speaker 3: on the carmakers delivery miss Next, This is Bloomberg. 214 00:11:27,240 --> 00:11:30,839 Speaker 2: Tesla fourth quarter sales out today, the electric carmaker disappointing investors, 215 00:11:30,880 --> 00:11:33,640 Speaker 2: posting an annual vehicle sales drop for the first time 216 00:11:33,720 --> 00:11:36,439 Speaker 2: in more than a decade. Joining US now is Bloomberg's 217 00:11:36,480 --> 00:11:39,839 Speaker 2: Detroit bureau chief David at Welch. David one point seventy 218 00:11:39,920 --> 00:11:42,600 Speaker 2: nine million vehicles sold in twenty twenty four fourth quarter 219 00:11:42,600 --> 00:11:46,440 Speaker 2: deliveries for to ninety five thousand, five hundred and seventy 220 00:11:46,760 --> 00:11:48,880 Speaker 2: Tesla stock taking a hit as the result. To what 221 00:11:48,920 --> 00:11:52,839 Speaker 2: can we attribute this decline to? I think it's just 222 00:11:53,080 --> 00:11:56,120 Speaker 2: purely greater competition. Whether it's in China where Bid and 223 00:11:56,160 --> 00:11:59,680 Speaker 2: the domestic EV players are doing very well with competitive product, 224 00:12:00,200 --> 00:12:03,559 Speaker 2: helped buy a lot of Chinese government subsidies. It's tougher 225 00:12:03,600 --> 00:12:06,440 Speaker 2: sledding there, and there's more competition in the US. You've 226 00:12:06,440 --> 00:12:08,760 Speaker 2: got a lot of new EV's out there from Hyundai, Kia, 227 00:12:08,960 --> 00:12:13,839 Speaker 2: General Motors. They're all pushing pretty hard here. GM's got 228 00:12:13,840 --> 00:12:16,120 Speaker 2: a pretty cheap one with the Equinox sales throw under 229 00:12:16,120 --> 00:12:18,480 Speaker 2: thirty five thousand. That's going to put pressure on the market. 230 00:12:18,720 --> 00:12:22,240 Speaker 2: And also, you know EV sales generally still some growth there, 231 00:12:22,280 --> 00:12:24,960 Speaker 2: but slower growth, So you have slower growth for the 232 00:12:25,000 --> 00:12:28,760 Speaker 2: total total industry and more players fighting for that piece 233 00:12:28,800 --> 00:12:31,840 Speaker 2: of the pie, and Tesla's not immune to that either. 234 00:12:32,360 --> 00:12:34,920 Speaker 2: The other thing, look, Tesla's got this lineup of four 235 00:12:35,000 --> 00:12:37,959 Speaker 2: vehicles that can sell in pretty decent numbers, a niche 236 00:12:38,080 --> 00:12:40,600 Speaker 2: cyber truck, which has not set the world on fire 237 00:12:40,640 --> 00:12:43,559 Speaker 2: in terms of growth. Unless they get this cheaper model 238 00:12:43,600 --> 00:12:45,760 Speaker 2: to type of vehicle out there, they're probably not going 239 00:12:45,760 --> 00:12:47,839 Speaker 2: to see a lot of electric vehicle growth from them 240 00:12:48,200 --> 00:12:51,920 Speaker 2: in the US market, and they're going to have really 241 00:12:51,960 --> 00:12:56,840 Speaker 2: tough competition in Europe and China going forward, So it's 242 00:12:56,840 --> 00:12:58,720 Speaker 2: not a growth story on the EV side of their 243 00:12:58,760 --> 00:12:59,520 Speaker 2: business right now. 244 00:13:00,000 --> 00:13:02,880 Speaker 3: Maybe the hope is then that, of course Tesla, which 245 00:13:02,920 --> 00:13:05,200 Speaker 3: already is the market leader, would take share from some 246 00:13:05,280 --> 00:13:08,200 Speaker 3: of its competitors because Elon Musk on the latest earnings 247 00:13:08,200 --> 00:13:11,400 Speaker 3: call said that he sees twenty to thirty percent growth 248 00:13:11,440 --> 00:13:14,880 Speaker 3: this year, which seems optimistic. Are we hearing anywhere close 249 00:13:14,920 --> 00:13:16,560 Speaker 3: to those figures When you take a look at what 250 00:13:16,920 --> 00:13:18,360 Speaker 3: the cell side is actually. 251 00:13:18,040 --> 00:13:22,160 Speaker 9: Expecting the sale side's not expecting that. There isn't a 252 00:13:22,160 --> 00:13:24,559 Speaker 9: lot of credibility. We've seen a lot of skepticism over 253 00:13:24,600 --> 00:13:27,280 Speaker 9: the twenty to thirty percent growth. Now what we don't know. 254 00:13:27,800 --> 00:13:31,400 Speaker 9: Tesla's supposed to have this cheaper EV coming out this year. 255 00:13:31,920 --> 00:13:35,480 Speaker 9: They famously missed their their targets for production and sales 256 00:13:35,480 --> 00:13:37,800 Speaker 9: all the time. But if it does come out it 257 00:13:37,880 --> 00:13:40,920 Speaker 9: is cheaper, that's where they would presumably get some growth. 258 00:13:41,240 --> 00:13:43,440 Speaker 9: It's going to be really hard to steal that much 259 00:13:43,520 --> 00:13:45,679 Speaker 9: market share and less Tesla res or it's just some 260 00:13:45,800 --> 00:13:48,600 Speaker 9: really deep discounting. I mean, look, there's a wild card 261 00:13:48,640 --> 00:13:52,480 Speaker 9: here too, which is if Tesla's not reliant on government 262 00:13:52,559 --> 00:13:56,559 Speaker 9: subsidies the seventy five hundred tower tax break for evs 263 00:13:56,840 --> 00:13:59,439 Speaker 9: and the other companies are, maybe they can gain share 264 00:13:59,480 --> 00:14:02,240 Speaker 9: that way. But there's just not that much growth in 265 00:14:02,240 --> 00:14:04,040 Speaker 9: the EV market where I think they're going to see 266 00:14:04,080 --> 00:14:06,839 Speaker 9: twenty to thirty percent growth based off its US sales, 267 00:14:06,880 --> 00:14:09,840 Speaker 9: And again, the Chinese competition is just too tough for 268 00:14:09,880 --> 00:14:11,280 Speaker 9: them to get huge numbers there either. 269 00:14:11,559 --> 00:14:13,280 Speaker 2: David a little closer to home here in the US, 270 00:14:13,360 --> 00:14:17,040 Speaker 2: is there a political risk given Elon Musk's close alliance 271 00:14:17,080 --> 00:14:20,920 Speaker 2: with President elect Donald Trump, and that it could alienate 272 00:14:21,040 --> 00:14:23,280 Speaker 2: potential folks who would say, you know, in another world, 273 00:14:23,280 --> 00:14:25,080 Speaker 2: I would have gone for a Tesla, but these days, 274 00:14:25,080 --> 00:14:25,560 Speaker 2: no thanks. 275 00:14:27,680 --> 00:14:31,160 Speaker 9: Look, that phenomenon I think is real. I also think 276 00:14:31,200 --> 00:14:34,840 Speaker 9: it's kind of baked in already because Elon kind of 277 00:14:34,880 --> 00:14:37,040 Speaker 9: went to the right side of the political aisle some 278 00:14:37,160 --> 00:14:39,640 Speaker 9: time ago with the things he's been saying on X 279 00:14:39,720 --> 00:14:41,800 Speaker 9: and he's been working with Donald Trump for months now. 280 00:14:42,480 --> 00:14:44,960 Speaker 9: There may be more of that coming. People who were 281 00:14:45,080 --> 00:14:48,040 Speaker 9: predisposed of buying avs, many of them are interested in 282 00:14:48,080 --> 00:14:50,680 Speaker 9: climate change and they buy them for that reason. Others 283 00:14:50,720 --> 00:14:55,800 Speaker 9: are not. But look, I think Elon has probably alienated 284 00:14:56,480 --> 00:14:58,960 Speaker 9: a certain kind of consumer. How big of an impact 285 00:14:59,000 --> 00:15:01,520 Speaker 9: that's having to quantify, but I think that does have 286 00:15:02,040 --> 00:15:02,920 Speaker 9: an effect for sure. 287 00:15:03,080 --> 00:15:05,000 Speaker 3: Well let's talk about the flip side of that, David, 288 00:15:05,040 --> 00:15:08,560 Speaker 3: because Okay, maybe the left leaning customer base of Tesla 289 00:15:08,600 --> 00:15:11,880 Speaker 3: doesn't want to buy more Tesla's, but there's a lot 290 00:15:11,880 --> 00:15:13,760 Speaker 3: of expectations and you can see that in the stock 291 00:15:13,800 --> 00:15:17,840 Speaker 3: price that a Donald Trump administration, the second Donald Trump administration, 292 00:15:18,200 --> 00:15:20,440 Speaker 3: is going to be good news for Tesla. I mean, 293 00:15:20,480 --> 00:15:23,560 Speaker 3: what are some of the actual policies that are potentially 294 00:15:23,600 --> 00:15:26,360 Speaker 3: on the table here that would benefit Tesla. 295 00:15:27,680 --> 00:15:30,800 Speaker 9: The big one, I think is the Trump administration's priority 296 00:15:30,800 --> 00:15:33,960 Speaker 9: of setting up a federal framework for autonomous vehicles. What's 297 00:15:34,000 --> 00:15:36,720 Speaker 9: really pushing this stock, I think to a large degree, 298 00:15:36,800 --> 00:15:39,720 Speaker 9: is this idea that Tesla's not just an automaker in 299 00:15:39,720 --> 00:15:41,920 Speaker 9: the way that general motors are, dime where or BMW 300 00:15:42,000 --> 00:15:45,560 Speaker 9: or Toyota are. It's an AI company. It's a tech play, right, 301 00:15:45,840 --> 00:15:48,320 Speaker 9: and you can only do that if you do have robots, 302 00:15:48,360 --> 00:15:50,960 Speaker 9: you do have self driving cars. And without a federal 303 00:15:51,000 --> 00:15:54,320 Speaker 9: framework that enables somebody like Tesla to put a vehicle 304 00:15:54,360 --> 00:15:56,080 Speaker 9: on the road with no steering wheel and no braking, 305 00:15:56,240 --> 00:16:00,840 Speaker 9: accelerator pedals, totally robot driven, that's not going to happen. 306 00:16:01,120 --> 00:16:04,000 Speaker 9: Trump's the Trump administration will make it a priority. Elon 307 00:16:04,120 --> 00:16:07,880 Speaker 9: is camped out at Maro Lago trying to help write that, 308 00:16:07,960 --> 00:16:10,720 Speaker 9: I would assume. But anyway, he's going to have influence 309 00:16:11,080 --> 00:16:13,960 Speaker 9: that will help Tesla certainly, depending on how the rules 310 00:16:14,240 --> 00:16:16,720 Speaker 9: are done. And then with the other thing, Elon has said, 311 00:16:17,240 --> 00:16:20,080 Speaker 9: we don't need federal subsidies to sell our evs. It 312 00:16:20,080 --> 00:16:24,480 Speaker 9: would affect other companies more and he's probably right about that, 313 00:16:24,960 --> 00:16:27,600 Speaker 9: But how much getting rid of those would help Tesla 314 00:16:27,640 --> 00:16:32,040 Speaker 9: sell more evs that it remains to be seen. I 315 00:16:32,040 --> 00:16:33,640 Speaker 9: think it's tough on them to get rid of those 316 00:16:34,200 --> 00:16:38,200 Speaker 9: incentives as well, because one that's free money to consumers 317 00:16:38,240 --> 00:16:40,400 Speaker 9: that they don't get anymore, and to Tesla might have 318 00:16:40,440 --> 00:16:42,680 Speaker 9: to discount more. So, even if they do steal market share, 319 00:16:42,680 --> 00:16:44,600 Speaker 9: it might be less profitable share if they have to 320 00:16:44,640 --> 00:16:47,600 Speaker 9: have big discounts in order to sell those vehicles. So 321 00:16:49,520 --> 00:16:52,720 Speaker 9: the bottom line is any kind of tax policy on 322 00:16:52,880 --> 00:16:57,480 Speaker 9: evs could benefit Elon if he has an outsized voice 323 00:16:57,520 --> 00:17:00,440 Speaker 9: in crafting it to help his company. So, you know, 324 00:17:00,720 --> 00:17:02,840 Speaker 9: we don't know what that looks like, but that certainly 325 00:17:02,840 --> 00:17:03,440 Speaker 9: could happen. 326 00:17:03,760 --> 00:17:03,920 Speaker 7: Well. 327 00:17:03,960 --> 00:17:07,200 Speaker 3: Tesla sharre is currently down almost six percent. David Welts, 328 00:17:07,560 --> 00:17:09,920 Speaker 3: thank you for that. Let's turn to the other major 329 00:17:09,960 --> 00:17:12,119 Speaker 3: Tesla news that we're following this morning, and that is 330 00:17:12,160 --> 00:17:15,240 Speaker 3: Elon Musk saying that the explosion of a Tesla cybertruck 331 00:17:15,400 --> 00:17:18,119 Speaker 3: outside of the Trump Las Vegas hotel was probably an 332 00:17:18,119 --> 00:17:21,000 Speaker 3: act of terrorism. The driver was killed and seven people 333 00:17:21,040 --> 00:17:24,560 Speaker 3: suffered minor injuries. For more, let's break it down with 334 00:17:24,560 --> 00:17:27,040 Speaker 3: Wloomberg's Mike Sheppard joining us now. And this is a 335 00:17:27,080 --> 00:17:29,800 Speaker 3: developing situation, of course, Mike. But what do we know 336 00:17:29,880 --> 00:17:30,240 Speaker 3: so far? 337 00:17:31,280 --> 00:17:34,600 Speaker 7: Well, what we know is that this vehicle, like the 338 00:17:34,720 --> 00:17:39,000 Speaker 7: vehicle used in the New Orleans terror attack, was rented 339 00:17:39,119 --> 00:17:42,840 Speaker 7: via the Touro app. But the company itself maintains that 340 00:17:42,880 --> 00:17:47,480 Speaker 7: there is no connection whatsoever between them that they can see. 341 00:17:47,560 --> 00:17:51,000 Speaker 7: Neither the suspect in New Orleans nor the man who 342 00:17:51,119 --> 00:17:55,240 Speaker 7: rented the cyber truck that exploded in Las Vegas had 343 00:17:55,359 --> 00:17:57,520 Speaker 7: any kind of a criminal background that would have shown 344 00:17:57,600 --> 00:18:00,960 Speaker 7: up in the checks that the company run. What we 345 00:18:01,040 --> 00:18:03,399 Speaker 7: know about the man he has been identified in Las 346 00:18:03,480 --> 00:18:07,639 Speaker 7: Vegas is that he is identified as an Army reservist 347 00:18:07,800 --> 00:18:11,280 Speaker 7: his on leave from the service temporarily. He was from 348 00:18:11,280 --> 00:18:16,440 Speaker 7: Colorado Springs. And we don't know yet what exactly the 349 00:18:16,480 --> 00:18:21,119 Speaker 7: cause was of this explosion in Las Vegas. Elon Musk 350 00:18:21,160 --> 00:18:24,080 Speaker 7: has said on x he posted last night that he 351 00:18:24,200 --> 00:18:27,399 Speaker 7: thought it looked more like and the company had concluded, 352 00:18:27,480 --> 00:18:31,760 Speaker 7: but did not offer more evidence of an explosion related 353 00:18:31,800 --> 00:18:34,960 Speaker 7: to either what he said were fireworks or perhaps a 354 00:18:35,000 --> 00:18:37,720 Speaker 7: bomb in the bed or back of the truck, rather 355 00:18:37,800 --> 00:18:40,280 Speaker 7: than a malfunction by the batteries. We've seen in some 356 00:18:40,320 --> 00:18:42,040 Speaker 7: other Tesla vehicles. 357 00:18:42,320 --> 00:18:44,879 Speaker 2: Mike, As Katie said, this is a developing story. We 358 00:18:44,920 --> 00:18:48,560 Speaker 2: don't know much yet, but I'm curious what has come 359 00:18:48,600 --> 00:18:51,280 Speaker 2: out at this point. Do we know how, if any 360 00:18:51,960 --> 00:18:55,360 Speaker 2: the ignition actually happened, how whatever was in the back 361 00:18:55,400 --> 00:18:58,280 Speaker 2: of the truck ignited, And do we know if the 362 00:18:58,359 --> 00:19:02,879 Speaker 2: vehicle's battery earned or if fire officials were able to 363 00:19:02,960 --> 00:19:04,560 Speaker 2: put out the fire before that happened. 364 00:19:05,680 --> 00:19:10,000 Speaker 7: Those are really good and still very open questions, Tim 365 00:19:10,040 --> 00:19:13,119 Speaker 7: that we're waiting for authorities to shed more light on. 366 00:19:13,480 --> 00:19:15,840 Speaker 7: We have heard, of course from Elon mus the world's 367 00:19:15,920 --> 00:19:19,640 Speaker 7: richest man and one of the co founders of Tesla 368 00:19:19,720 --> 00:19:22,159 Speaker 7: and now the owner of x laying this out for 369 00:19:22,240 --> 00:19:25,359 Speaker 7: us on social media, but the detailed account from authorities, 370 00:19:25,359 --> 00:19:29,840 Speaker 7: including the Las Vegas Fire Department and FBI, which is 371 00:19:29,880 --> 00:19:33,639 Speaker 7: also investigating this incident, we still do not have a 372 00:19:33,720 --> 00:19:36,399 Speaker 7: full accounting of what had happened, including the kind of 373 00:19:36,440 --> 00:19:39,359 Speaker 7: forensic questions that you're asking now, So we'll be eager 374 00:19:39,400 --> 00:19:43,960 Speaker 7: to hear from law enforcement and safety authorities there as 375 00:19:44,000 --> 00:19:44,639 Speaker 7: we get more. 376 00:19:44,520 --> 00:19:48,120 Speaker 2: Answers, again, more questions than answers that we have right now, Mike, 377 00:19:48,160 --> 00:19:52,399 Speaker 2: But I'm curious about potential similarities between what happened in 378 00:19:52,520 --> 00:19:54,760 Speaker 2: New Orleans and what happened in Las Vegas. The tech 379 00:19:54,800 --> 00:19:58,679 Speaker 2: angle here with vehicles rented on the app turo, the 380 00:19:58,720 --> 00:20:03,399 Speaker 2: connection of both being members or former members of used 381 00:20:03,440 --> 00:20:06,119 Speaker 2: armed forces. What are similarities we have right now? 382 00:20:06,920 --> 00:20:10,040 Speaker 7: You know, those are similarities, but authorities would be quick 383 00:20:10,080 --> 00:20:14,040 Speaker 7: to caution that they are all coincidental. Many people use 384 00:20:14,119 --> 00:20:19,080 Speaker 7: this Touro app to rent vehicles. Conversing with a friend 385 00:20:19,080 --> 00:20:22,159 Speaker 7: this morning, they happened to note that, Hey, you know, 386 00:20:22,280 --> 00:20:26,000 Speaker 7: I have an acquaintance who rented a cyber truck in 387 00:20:26,119 --> 00:20:29,639 Speaker 7: Las Vegas about the same time. So it is not 388 00:20:29,760 --> 00:20:34,280 Speaker 7: an uncommon thing for people to be using something like this. 389 00:20:34,440 --> 00:20:36,840 Speaker 7: If it were Avis or Hertz, I don't know if 390 00:20:36,880 --> 00:20:40,360 Speaker 7: we'd be asking sort of the same kinds of questions. 391 00:20:40,359 --> 00:20:44,199 Speaker 7: And again, when it comes to prior military service, we 392 00:20:44,280 --> 00:20:47,439 Speaker 7: have seen this again and again that sometimes actors in 393 00:20:47,520 --> 00:20:50,399 Speaker 7: these mass casualty events, and we can think all the 394 00:20:50,440 --> 00:20:55,000 Speaker 7: way back to nineteen ninety five, the bomb that took 395 00:20:55,040 --> 00:20:58,399 Speaker 7: out the Edward R. Murrah building in Oklahoma City that 396 00:20:58,560 --> 00:21:02,399 Speaker 7: was perpetrated by two men who had previously served in 397 00:21:02,480 --> 00:21:06,119 Speaker 7: the US Army so again coincidence, but we don't know 398 00:21:06,440 --> 00:21:10,800 Speaker 7: whether there is any connection valid or viable whatsoever, or 399 00:21:10,880 --> 00:21:14,760 Speaker 7: even if what happened in Las Vegas was an accident 400 00:21:14,960 --> 00:21:17,280 Speaker 7: or a deliberate and malicious act. 401 00:21:17,960 --> 00:21:20,399 Speaker 3: All right, Mike, really appreciate your reporting here. That is 402 00:21:20,400 --> 00:21:23,440 Speaker 3: Bloomberg's Mike Sheppard. Of course, we'll bring you more details 403 00:21:23,720 --> 00:21:26,119 Speaker 3: as we have them, but let's switch skars here and 404 00:21:26,160 --> 00:21:28,679 Speaker 3: discuss the future of H one B VISUS under the 405 00:21:28,720 --> 00:21:32,640 Speaker 3: new administration and the impact on the America's tech industry. 406 00:21:32,680 --> 00:21:35,960 Speaker 3: Of course, this was a firestorm over social media over 407 00:21:36,000 --> 00:21:36,520 Speaker 3: the holiday. 408 00:21:36,960 --> 00:21:40,840 Speaker 2: Well, coming up much more on Bloomberg Technology. This is Bloomberg. 409 00:21:56,040 --> 00:21:56,159 Speaker 7: Well. 410 00:21:56,240 --> 00:21:59,440 Speaker 3: Twenty twenty four was deemed the year of Artificial intelligence. 411 00:21:59,560 --> 00:22:01,720 Speaker 3: But why you're waiting to see if Wall Street will 412 00:22:01,760 --> 00:22:06,040 Speaker 3: grow impatient with the AI movement Bloomberg Opinions Davely wrote 413 00:22:06,040 --> 00:22:08,600 Speaker 3: about it in his latest column. He joins, us, now 414 00:22:09,400 --> 00:22:12,520 Speaker 3: tie this into what you call the brain rot economy, 415 00:22:12,560 --> 00:22:15,680 Speaker 3: all this enthusiasm that we're seeing over AI and what's 416 00:22:15,720 --> 00:22:16,920 Speaker 3: actually happening on a lot. 417 00:22:16,880 --> 00:22:17,480 Speaker 5: Of these apps. 418 00:22:17,760 --> 00:22:20,440 Speaker 10: Yeah, well, I mean we're seeing investors being extremely excited 419 00:22:20,440 --> 00:22:22,520 Speaker 10: that AI is going to come good this year earn 420 00:22:22,560 --> 00:22:24,320 Speaker 10: them lots of money. The revenue is going to start 421 00:22:24,359 --> 00:22:27,160 Speaker 10: pouring in and that's going to offset the worries about 422 00:22:27,240 --> 00:22:29,640 Speaker 10: capital expenditure going through the roof for just about all 423 00:22:29,680 --> 00:22:33,040 Speaker 10: major tech companies in twenty twenty four. Where that links 424 00:22:33,080 --> 00:22:35,320 Speaker 10: is the brain rot side of things, is that one 425 00:22:35,359 --> 00:22:37,879 Speaker 10: of the early uses of AI has been to fill 426 00:22:38,200 --> 00:22:42,000 Speaker 10: things like Facebook with just nonsense, really like pictures that 427 00:22:42,040 --> 00:22:44,720 Speaker 10: don't make any sense or text has been generated it 428 00:22:44,760 --> 00:22:47,600 Speaker 10: isn't really fun to read. And I think and in 429 00:22:47,640 --> 00:22:49,439 Speaker 10: my column there I wrote that there's going to be 430 00:22:49,480 --> 00:22:52,280 Speaker 10: this sort of awakening I hope from people saying, well, 431 00:22:52,320 --> 00:22:54,080 Speaker 10: why am I looking at this? And as soon as 432 00:22:54,080 --> 00:22:57,159 Speaker 10: people stop looking at this, that could spell trouble for 433 00:22:57,200 --> 00:22:58,640 Speaker 10: companies like Meta that rely on that. 434 00:22:58,680 --> 00:23:00,800 Speaker 2: Well, maybe they move away from that. Go to TikTok. 435 00:23:00,960 --> 00:23:03,080 Speaker 2: Your prediction about TikTok this year at least here in 436 00:23:03,119 --> 00:23:04,240 Speaker 2: the US will it be banned? 437 00:23:04,560 --> 00:23:07,000 Speaker 10: Well, the question is, you know what the Supreme Court's 438 00:23:07,040 --> 00:23:10,720 Speaker 10: going to do. They're going to hear arguments on January tenth, 439 00:23:11,400 --> 00:23:14,080 Speaker 10: and many legal observers say it's unlikely that the Supreme 440 00:23:14,119 --> 00:23:16,480 Speaker 10: Court is going to overturn the lower courts ruling which 441 00:23:16,560 --> 00:23:21,040 Speaker 10: was that the ban was constitutional. The next wildcard is 442 00:23:21,040 --> 00:23:22,439 Speaker 10: going to be what's Donald Trump going to do? 443 00:23:22,520 --> 00:23:22,639 Speaker 7: Now? 444 00:23:22,680 --> 00:23:25,800 Speaker 10: He's already asked for the band to be paused. He's 445 00:23:25,800 --> 00:23:27,560 Speaker 10: asked the Supreme Court for that. Whether or not they 446 00:23:27,680 --> 00:23:30,520 Speaker 10: grant him that, it's not it's not clear yet. But 447 00:23:30,600 --> 00:23:32,880 Speaker 10: I think it's going to take some overturning for this 448 00:23:33,720 --> 00:23:36,920 Speaker 10: for this ban on TikTok to stop. So I think 449 00:23:37,000 --> 00:23:39,359 Speaker 10: if you're on TikTok, you should be getting ready to 450 00:23:39,760 --> 00:23:41,640 Speaker 10: perhaps sort of move somewhere else. 451 00:23:42,080 --> 00:23:44,560 Speaker 3: Well, Dave Lee from Bloomberg Opinion, That is the perfect 452 00:23:44,600 --> 00:23:47,600 Speaker 3: segue into our next guest. Let's keep this discussion going 453 00:23:47,640 --> 00:23:50,240 Speaker 3: now with Godam Hans. He is a law professor at 454 00:23:50,240 --> 00:23:54,040 Speaker 3: Cornell and founding director of the university's Civil Rights and 455 00:23:54,119 --> 00:23:57,600 Speaker 3: Civil Liberties Clinic. Great to have you with us, of course, 456 00:23:57,640 --> 00:24:01,600 Speaker 3: so the Supreme Court will hear TikTok's argument on January tenth. 457 00:24:01,760 --> 00:24:05,160 Speaker 3: Of course, the ban would kick in on January nineteenth. 458 00:24:05,200 --> 00:24:08,160 Speaker 3: If it goes through. That is a very very quick 459 00:24:08,200 --> 00:24:11,800 Speaker 3: possible turnaround. And then you add President Donald president elect 460 00:24:11,840 --> 00:24:14,960 Speaker 3: rather Donald Trump into the equation. How are you thinking 461 00:24:14,960 --> 00:24:17,240 Speaker 3: that things will shake out from where it stands right now. 462 00:24:17,560 --> 00:24:20,960 Speaker 5: Yes, so thank you for having me. I am. 463 00:24:22,040 --> 00:24:25,600 Speaker 8: Similarly skeptical that the Supreme Court will overturn the lower 464 00:24:25,640 --> 00:24:29,560 Speaker 8: court's ruling. I think the schedule of the argument means 465 00:24:29,560 --> 00:24:33,840 Speaker 8: that we may hear something quickly before the effective date 466 00:24:33,960 --> 00:24:38,760 Speaker 8: of the ban, but I am not optimistic that the 467 00:24:38,880 --> 00:24:41,160 Speaker 8: court will make a different finding. 468 00:24:42,040 --> 00:24:42,600 Speaker 5: Ultimately. 469 00:24:43,000 --> 00:24:46,680 Speaker 8: Whether or not President lect Trump is able to change 470 00:24:46,720 --> 00:24:51,399 Speaker 8: that through urging Congress to override or rescind the law, 471 00:24:51,880 --> 00:24:54,000 Speaker 8: or some other kind of executive action, I think we'll 472 00:24:54,040 --> 00:24:56,320 Speaker 8: have to wait and see. I also don't think the 473 00:24:56,359 --> 00:25:00,720 Speaker 8: Supreme Court itself will take up President elect Trump's call 474 00:25:00,840 --> 00:25:04,880 Speaker 8: for a stay, given the sort of lack of precedent 475 00:25:05,040 --> 00:25:06,760 Speaker 8: for that kind of move. 476 00:25:07,240 --> 00:25:10,359 Speaker 2: You have been supportive of TikTok from a legal perspective, 477 00:25:10,359 --> 00:25:11,600 Speaker 2: Why is that? What's the case? 478 00:25:13,040 --> 00:25:18,880 Speaker 8: I think that this law is targeted pretty explicitly at 479 00:25:18,880 --> 00:25:23,880 Speaker 8: the company the Commeress. People who talked about it at 480 00:25:23,880 --> 00:25:26,800 Speaker 8: the time of its anactment earlier in twenty twenty four 481 00:25:27,359 --> 00:25:30,280 Speaker 8: said that there were major national security concerns that they 482 00:25:30,320 --> 00:25:33,119 Speaker 8: had been briefed onne privately, but that evidence has not 483 00:25:33,160 --> 00:25:37,320 Speaker 8: been made public. And while I agree that national security. 484 00:25:37,040 --> 00:25:38,520 Speaker 5: Is an important governmental interest. 485 00:25:38,920 --> 00:25:41,480 Speaker 8: I also think that when it comes to banning a 486 00:25:41,560 --> 00:25:45,879 Speaker 8: social media platform where millions of people exchange content and ideas, 487 00:25:46,160 --> 00:25:49,679 Speaker 8: that evans should be public. I did filend sign on 488 00:25:49,720 --> 00:25:51,959 Speaker 8: to an amicus brief both in the DC Circuit and 489 00:25:52,000 --> 00:25:55,280 Speaker 8: in the Supreme Court. We and that amicus brief argued 490 00:25:55,480 --> 00:25:59,920 Speaker 8: that the law really creates some fundamental First Amendment problem 491 00:26:00,160 --> 00:26:03,000 Speaker 8: is that I don't think are supported by the Supreme 492 00:26:03,000 --> 00:26:05,440 Speaker 8: Court President here. But of course we'll have to see 493 00:26:05,440 --> 00:26:08,280 Speaker 8: what the Court itself says in the coming weeks. 494 00:26:08,560 --> 00:26:11,560 Speaker 2: Cornell Law Professor Godham Hans, thanks so much for joining us. 495 00:26:11,640 --> 00:26:15,080 Speaker 2: Do appreciate it now. Potential TikTok ben would also pave 496 00:26:15,119 --> 00:26:17,800 Speaker 2: the way for metas reels or YouTube shorts to fill 497 00:26:17,800 --> 00:26:21,080 Speaker 2: in entertainment void for one hundred and seventy million Americans, 498 00:26:21,520 --> 00:26:24,280 Speaker 2: entertainment and the online advertising that comes with it. Let's 499 00:26:24,320 --> 00:26:27,280 Speaker 2: bring in Rachel Tipograph, founder and the CEO of Mickmac. 500 00:26:27,320 --> 00:26:30,360 Speaker 2: It's an e commerce marketing platform for multi channel brands. 501 00:26:30,520 --> 00:26:32,240 Speaker 2: Good to have you with us, Rachel, you have some 502 00:26:32,280 --> 00:26:35,840 Speaker 2: incredible data on the micmac platform about where the advertising 503 00:26:35,880 --> 00:26:39,640 Speaker 2: money is leaving to go to TikTok Let's start there 504 00:26:39,680 --> 00:26:42,359 Speaker 2: for context. Yeah, who's losing money as a result of 505 00:26:42,359 --> 00:26:43,679 Speaker 2: TikTok's growing popularity. 506 00:26:43,800 --> 00:26:44,399 Speaker 3: Absolutely. 507 00:26:44,560 --> 00:26:47,000 Speaker 11: My company, Mick Mac works with over two thousand of 508 00:26:47,000 --> 00:26:49,240 Speaker 11: the biggest brands in the world, and what we've seen 509 00:26:49,320 --> 00:26:51,800 Speaker 11: this year is a two hundred percent year over year 510 00:26:51,840 --> 00:26:54,639 Speaker 11: growth in TikTok. At the same time, we've seen a 511 00:26:54,680 --> 00:26:59,159 Speaker 11: sixty five percent decline in Alphabet. Alphabet for US is 512 00:26:59,280 --> 00:27:03,320 Speaker 11: paid search, it's YouTube, it's DV three sixty everyone else 513 00:27:03,400 --> 00:27:06,200 Speaker 11: is menual compared to this, So if a TikTok ban 514 00:27:06,440 --> 00:27:09,360 Speaker 11: were to occur, you can believe that Alphabet is going 515 00:27:09,400 --> 00:27:12,679 Speaker 11: to see big regains in brand advertising traffic. 516 00:27:13,240 --> 00:27:16,000 Speaker 3: It's interesting. I mean, I'm speaking from personal experience when 517 00:27:16,040 --> 00:27:18,240 Speaker 3: I talk about TikTok shop. I actually used it for 518 00:27:18,320 --> 00:27:21,560 Speaker 3: holiday shopping, which I wasn't expecting to. Do you think 519 00:27:21,600 --> 00:27:25,720 Speaker 3: about TikTok potentially being banned. That would, theoretically, as to mention, 520 00:27:25,880 --> 00:27:29,720 Speaker 3: be a benefit for YouTube shorts for of course metas 521 00:27:30,000 --> 00:27:32,600 Speaker 3: reels as well. But when it comes to the actual 522 00:27:32,680 --> 00:27:36,000 Speaker 3: e commerce spit do they have the same infrastructure and 523 00:27:36,119 --> 00:27:38,439 Speaker 3: ease of use as you have on a TikTok shop. 524 00:27:38,760 --> 00:27:41,879 Speaker 11: It's interesting about TikTok TikTok has the power of television 525 00:27:42,119 --> 00:27:45,040 Speaker 11: with the backbone of direct response advertising, so you can 526 00:27:45,080 --> 00:27:48,560 Speaker 11: build brand and drive conversion all at once. That being said, 527 00:27:48,640 --> 00:27:51,040 Speaker 11: when it comes to bottom of the funnel, I want 528 00:27:51,040 --> 00:27:54,119 Speaker 11: to drive sales advertising. The two best places to do 529 00:27:54,160 --> 00:27:58,720 Speaker 11: it today still are alphabet meaning paid search, and meta. 530 00:27:59,480 --> 00:28:02,200 Speaker 11: And so if this were to happen, I still believe 531 00:28:02,200 --> 00:28:05,080 Speaker 11: you're gonna see a massive shift back to alphabet, a 532 00:28:05,080 --> 00:28:07,680 Speaker 11: little bit back to meta. But in terms of TikTok, 533 00:28:07,720 --> 00:28:10,480 Speaker 11: it has become the fourth biggest marketplace in the US. 534 00:28:10,920 --> 00:28:14,560 Speaker 11: So who's gonna gain from marketplace sales. It's gonna be Amazon, 535 00:28:14,680 --> 00:28:17,240 Speaker 11: it's gonna be Walmart, it's gonna be eBay, it's gonna 536 00:28:17,240 --> 00:28:20,159 Speaker 11: be Temu. So there's gonna be a lot of companies 537 00:28:20,200 --> 00:28:23,720 Speaker 11: to gain in this disruptive shift. If a TikTok band were. 538 00:28:23,600 --> 00:28:26,879 Speaker 2: To occur, Rachel, who do you think or what should 539 00:28:26,880 --> 00:28:29,600 Speaker 2: the companies that our clients of yours be doing to 540 00:28:29,640 --> 00:28:31,720 Speaker 2: prepare for a possible ban? How should they be changing 541 00:28:31,720 --> 00:28:32,760 Speaker 2: the way they're looking at things. 542 00:28:33,240 --> 00:28:35,600 Speaker 11: I believe first of all that a band is going 543 00:28:35,640 --> 00:28:37,680 Speaker 11: to be delayed. I think that this is a hot 544 00:28:37,800 --> 00:28:40,840 Speaker 11: opportunity for the Supreme Court and Trump. That's my hot 545 00:28:40,840 --> 00:28:44,720 Speaker 11: take as Rachel. But in terms of my customers, I'm 546 00:28:44,760 --> 00:28:46,760 Speaker 11: working with the biggest brands in the world. They're used 547 00:28:46,800 --> 00:28:50,040 Speaker 11: to this. When Elon Musk took ownership of Twitter now X, 548 00:28:50,320 --> 00:28:53,560 Speaker 11: we saw x traffic go to zero. What did they do? 549 00:28:53,640 --> 00:28:57,120 Speaker 11: They just reallocated spend overnight. It's not the big brands 550 00:28:57,160 --> 00:29:00,160 Speaker 11: to be worried about. It's the small medium businesses that 551 00:29:00,240 --> 00:29:03,920 Speaker 11: are heavily dependent on TikTok and the creators. Some people 552 00:29:04,040 --> 00:29:07,360 Speaker 11: rely one hundred percent on TikTok for their income. The 553 00:29:07,400 --> 00:29:10,320 Speaker 11: big brands will be resilient. The small businesses are the 554 00:29:10,360 --> 00:29:12,479 Speaker 11: ones who are going to experience tough times. 555 00:29:12,800 --> 00:29:14,880 Speaker 3: And Rachel, we only have about thirty seconds, but you 556 00:29:14,920 --> 00:29:17,440 Speaker 3: mentioned some of the beneficiaries here. Of course, the Amazon's, 557 00:29:17,480 --> 00:29:21,080 Speaker 3: the alphabets of the world. What about Ets? What about eBay? 558 00:29:21,200 --> 00:29:24,640 Speaker 3: Some of these marketplaces that have been kind of left behind. 559 00:29:24,840 --> 00:29:27,040 Speaker 11: Yeah, there's going to be a shift back to seeing 560 00:29:27,080 --> 00:29:30,560 Speaker 11: sales in places like eBay and ets and Tamu. But 561 00:29:30,720 --> 00:29:34,800 Speaker 11: Walmart and Amazon are huge players now in three P marketplaces. 562 00:29:35,240 --> 00:29:36,920 Speaker 11: All of these players will see gains. 563 00:29:37,560 --> 00:29:40,480 Speaker 3: All right, Rachel, really appreciate you taking the trip to 564 00:29:40,480 --> 00:29:42,360 Speaker 3: New York. Of course, that is Nick mac founder and 565 00:29:42,440 --> 00:29:46,080 Speaker 3: CEO Rachel Tipograph, And that does it for this edition 566 00:29:46,160 --> 00:29:49,120 Speaker 3: of Bloomberg Technology. I believe we'll both be back tomorrow. 567 00:29:49,200 --> 00:29:51,200 Speaker 2: Hez a treat. If they'll have us, we'll be back. 568 00:29:51,280 --> 00:29:53,600 Speaker 2: Don't forget to check out our podcast though. In the meantime, 569 00:29:53,760 --> 00:29:55,440 Speaker 2: you can find her on the terminal as well as 570 00:29:55,440 --> 00:29:58,880 Speaker 2: online at Apple, Spotify, and iHeart this is Bloomberg. 571 00:30:00,440 --> 00:30:10,400 Speaker 5: Then Quick, then rectal, Quick and 572 00:30:16,120 --> 00:30:16,400 Speaker 2: Quick