1 00:00:02,600 --> 00:00:07,080 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:09,960 --> 00:00:13,160 Speaker 2: Good morning, I'm Nathan Hager and I'm Karen Moscow. Here 3 00:00:13,160 --> 00:00:14,920 Speaker 2: are the stories we're following today. 4 00:00:15,360 --> 00:00:15,840 Speaker 3: Thank Karen. 5 00:00:15,880 --> 00:00:18,440 Speaker 4: We begin with concerns over the impact that a Chinese 6 00:00:18,560 --> 00:00:22,520 Speaker 4: artificial intelligence startup could have on big US tech stocks. 7 00:00:22,560 --> 00:00:26,120 Speaker 4: It is called deep Seek. Buzz grew over the weekend 8 00:00:26,239 --> 00:00:30,040 Speaker 4: about deep Seek's latest AI model being cost effective while 9 00:00:30,120 --> 00:00:33,320 Speaker 4: running on less advanced chips. That's casting doubt on the 10 00:00:33,400 --> 00:00:37,320 Speaker 4: validity of the sky high valuations for companies like Nvidia. 11 00:00:37,640 --> 00:00:40,080 Speaker 4: We get more from Bloomberg Markets reporter Mark Cudmore. 12 00:00:40,920 --> 00:00:42,760 Speaker 5: I think this is probably a game changing moment because 13 00:00:42,760 --> 00:00:45,519 Speaker 5: I think suddenly the whole US stocks exceptionalism of the 14 00:00:45,600 --> 00:00:47,920 Speaker 5: last fourteen to fifteen years is probably undermined by this 15 00:00:47,920 --> 00:00:50,720 Speaker 5: because it's simultaneously is good for productivity and growth from 16 00:00:50,760 --> 00:00:52,199 Speaker 5: the rest of the world, good for companies all over 17 00:00:52,200 --> 00:00:54,600 Speaker 5: the rest of the world, and undermines the whole US 18 00:00:54,840 --> 00:00:57,120 Speaker 5: tech phenomenon. So I think it hits from both sides. 19 00:00:57,320 --> 00:00:59,880 Speaker 5: So I think actually last Thursday probably said that the 20 00:01:00,240 --> 00:01:02,880 Speaker 5: long term peak in US share of global market cap. 21 00:01:03,160 --> 00:01:06,280 Speaker 4: Bloomberg's Mark Cudmore says the AI model from Deepseek is 22 00:01:06,280 --> 00:01:10,080 Speaker 4: widely seen as competitive with open Ai and Meta's latest offerings. 23 00:01:10,720 --> 00:01:13,320 Speaker 2: Nathan Chinese, a startup, Deep Seek, is now top of 24 00:01:13,360 --> 00:01:16,640 Speaker 2: the iPhone download charts. De Aboue being hobbled by sanctions. 25 00:01:16,760 --> 00:01:19,760 Speaker 2: Capital dot Com senior market analyst Kyle Rada says it 26 00:01:19,880 --> 00:01:23,560 Speaker 2: raises questions about the market narrative around US tech dominance. 27 00:01:24,000 --> 00:01:26,400 Speaker 6: Anyone's on a sort of group chat with equity investors 28 00:01:26,680 --> 00:01:29,360 Speaker 6: or any kind of equity strategist phones are running hot, 29 00:01:29,400 --> 00:01:32,640 Speaker 6: effectively talking about well, what is this product, how they 30 00:01:32,680 --> 00:01:35,319 Speaker 6: achieved these outcomes, and what does this mean for the 31 00:01:35,360 --> 00:01:38,279 Speaker 6: AI investment boom in the United States. It raises concerns 32 00:01:38,319 --> 00:01:41,680 Speaker 6: about overinvestment in artificial intelligence. It raises concerns that perhaps 33 00:01:41,720 --> 00:01:44,160 Speaker 6: the United States might have the competitive advantage that it 34 00:01:44,200 --> 00:01:46,600 Speaker 6: has over the rest of the world. It raises concerns 35 00:01:46,600 --> 00:01:48,640 Speaker 6: that chip demand won't be as great going forward, either 36 00:01:48,680 --> 00:01:50,320 Speaker 6: in companies like in Video or overvalued. 37 00:01:50,680 --> 00:01:54,000 Speaker 2: Capital dot Com senior market analyst Kyle Rada several of 38 00:01:54,080 --> 00:01:56,640 Speaker 2: the big tech stocks falling on the news and Video 39 00:01:56,720 --> 00:01:59,960 Speaker 2: shares down ten percent. SML is off by about eleven percent. 40 00:02:00,560 --> 00:02:03,400 Speaker 2: Meta and Microsoft are lower by well more than four percent. 41 00:02:03,520 --> 00:02:06,919 Speaker 2: Pall and teer down six percent, super Micro and soundhounder 42 00:02:06,960 --> 00:02:08,800 Speaker 2: off by at least nine percent. 43 00:02:08,680 --> 00:02:11,720 Speaker 4: And Karen This deepseek news comes just as investors brace 44 00:02:11,800 --> 00:02:14,680 Speaker 4: for a slew of earnings from the Magnificent seven Bloombergs. 45 00:02:14,720 --> 00:02:17,000 Speaker 4: John Tucker's following this end of the story in John 46 00:02:17,040 --> 00:02:19,400 Speaker 4: and feels like the news couldn't get any more dicey. 47 00:02:19,639 --> 00:02:23,000 Speaker 3: Well, it could. The company sharers have been near record highs, 48 00:02:23,040 --> 00:02:25,880 Speaker 3: their valuations are stretched, Nathan and add to this the 49 00:02:25,919 --> 00:02:29,080 Speaker 3: fact that the group's profit growth It's projected to come 50 00:02:29,120 --> 00:02:31,320 Speaker 3: in at the slowest pace in almost two years of 51 00:02:31,440 --> 00:02:34,400 Speaker 3: Profits for the seven Giants are projected to increase by 52 00:02:34,639 --> 00:02:37,560 Speaker 3: twenty two percent in the fourth quarter from a year earlier. 53 00:02:37,720 --> 00:02:40,480 Speaker 3: That actually would be the smallest jump since the first 54 00:02:40,560 --> 00:02:43,800 Speaker 3: quarter of twenty twenty three. The seven companies announcements they 55 00:02:43,840 --> 00:02:47,600 Speaker 3: start Wednesday. That's when Microsoft, Meta and Tesla our scheduled report. 56 00:02:47,919 --> 00:02:52,560 Speaker 3: Apple follows Thursday, while we get Alphabet and Amazon next week, 57 00:02:52,600 --> 00:02:56,720 Speaker 3: and then chip maker Nvidia that comes late February. Capex 58 00:02:56,840 --> 00:03:00,359 Speaker 3: also going to be a big theme. Microsoft, Alphabet, Amazon, Meta. 59 00:03:00,400 --> 00:03:02,880 Speaker 3: They're all projected to have spent more than two hundred 60 00:03:02,960 --> 00:03:07,519 Speaker 3: billion dollars combined on capital expenditures in their last fiscal year, 61 00:03:07,760 --> 00:03:09,959 Speaker 3: and they've all pledged to spend more in the current year. 62 00:03:10,160 --> 00:03:13,240 Speaker 3: In New York, I'm John Tucker, Bloomberg Radio. 63 00:03:14,560 --> 00:03:18,720 Speaker 1: Coast to coast on Bloomberg Radio, nationwide on Sirius XM, 64 00:03:18,840 --> 00:03:21,680 Speaker 1: and around the world on Bloomberg dot Com and the 65 00:03:21,720 --> 00:03:24,800 Speaker 1: Bloomberg Business app. This is Bloomberg Daybreak. 66 00:03:24,960 --> 00:03:25,440 Speaker 3: Good morning. 67 00:03:25,440 --> 00:03:27,840 Speaker 4: I'm Nathan Hager. We are seeing a route in tech 68 00:03:27,919 --> 00:03:31,160 Speaker 4: stocks this morning. Chinese startup deep Seek is driving a 69 00:03:31,200 --> 00:03:33,480 Speaker 4: lot of buzz around the idea of a low cost 70 00:03:33,600 --> 00:03:38,040 Speaker 4: artificial intelligence model running on less advanced chips. Capital dot 71 00:03:38,080 --> 00:03:40,680 Speaker 4: Com senior market analyst Kyle Rada says it could mark 72 00:03:40,720 --> 00:03:44,600 Speaker 4: a narrative shift for the US led AI boom. 73 00:03:44,720 --> 00:03:47,640 Speaker 6: That kind of proverbial arms right in technology investment in 74 00:03:47,680 --> 00:03:50,200 Speaker 6: an AOLI investment has taken a very very interesting turn 75 00:03:50,240 --> 00:03:52,960 Speaker 6: when now China looks like a very viable competitor and 76 00:03:53,000 --> 00:03:55,160 Speaker 6: a competitor that you know, perhaps might catch the ire 77 00:03:55,200 --> 00:03:56,240 Speaker 6: of the Trump administration. 78 00:03:56,400 --> 00:03:58,800 Speaker 4: It's Kyle Rada of Capital dot Com and for more. 79 00:03:58,840 --> 00:04:02,400 Speaker 4: We're joined by Bloomberg Radio and television news anchor Critty Gooped. Critty, 80 00:04:02,480 --> 00:04:05,440 Speaker 4: Good morning, what is it about Deepseek's model that we're 81 00:04:05,480 --> 00:04:08,000 Speaker 4: hearing about right now that Scott tech investors clearly so 82 00:04:08,080 --> 00:04:08,920 Speaker 4: spooked this morning. 83 00:04:09,560 --> 00:04:12,360 Speaker 7: Well, good morning, Nathan. This is kind of the worst 84 00:04:12,440 --> 00:04:15,560 Speaker 7: nightmare for a tech bull in that we know so 85 00:04:15,760 --> 00:04:21,480 Speaker 7: much money has been pumped, specifically from the hyperscalers like Amazon, Microsoft, Apple, 86 00:04:21,960 --> 00:04:25,039 Speaker 7: et cetera, who are sitting on trillions of dollars of 87 00:04:25,080 --> 00:04:28,520 Speaker 7: cash just getting pumped into the future of artificial intelligence, 88 00:04:28,960 --> 00:04:31,679 Speaker 7: and this, of course what's created this massive stock market rally. 89 00:04:31,680 --> 00:04:34,440 Speaker 7: The concern here now is that maybe all of that 90 00:04:34,560 --> 00:04:37,680 Speaker 7: money didn't necessarily need to be put into the extent 91 00:04:38,120 --> 00:04:39,960 Speaker 7: that it has in the stock market. Let me walk 92 00:04:40,000 --> 00:04:42,200 Speaker 7: you through some of my math here, and Nathan. For example, 93 00:04:42,320 --> 00:04:45,680 Speaker 7: one Nvidia Blackwell chip is expected to go on the 94 00:04:45,680 --> 00:04:49,080 Speaker 7: market for somewhere like thirty to forty thousand dollars per unit. 95 00:04:49,120 --> 00:04:51,599 Speaker 7: I remember we're talking about a chip alone, and of course 96 00:04:51,960 --> 00:04:55,840 Speaker 7: a ton basically of units hues for one individual AI 97 00:04:55,920 --> 00:04:58,640 Speaker 7: data centers as so many of these companies are trying 98 00:04:58,640 --> 00:05:01,599 Speaker 7: to build out of course hundreds of data centers around 99 00:05:01,600 --> 00:05:03,400 Speaker 7: the world. So you can see very quickly how the 100 00:05:03,520 --> 00:05:07,200 Speaker 7: argument of just how much one chip is valued can 101 00:05:07,279 --> 00:05:10,800 Speaker 7: kind of skyrocket into almost an unknown positive figure. And 102 00:05:10,839 --> 00:05:14,400 Speaker 7: that's the sentimental least that's been fueling the stock market rally. 103 00:05:14,720 --> 00:05:18,080 Speaker 7: But the low and behold deep Seek this Chinese startup 104 00:05:18,200 --> 00:05:21,719 Speaker 7: around AI that's using technology very similar to that of 105 00:05:21,760 --> 00:05:24,800 Speaker 7: open ai, which is already kind of on the front 106 00:05:24,960 --> 00:05:29,279 Speaker 7: of the latest inn AI. They are now saying that 107 00:05:29,320 --> 00:05:31,440 Speaker 7: they can do it on a much cheaper cost. So 108 00:05:31,440 --> 00:05:33,800 Speaker 7: if you're talking about the things you need to get 109 00:05:33,839 --> 00:05:36,839 Speaker 7: to artificial intelligent intelligence, think of it as a recipe. 110 00:05:37,040 --> 00:05:40,760 Speaker 7: You need chips, you need engineers, you need software kind 111 00:05:40,760 --> 00:05:42,839 Speaker 7: of talent who are thinking about this. You need a 112 00:05:42,960 --> 00:05:46,440 Speaker 7: data center, you need an electricity grid, you need things 113 00:05:46,480 --> 00:05:49,320 Speaker 7: like natural gas or oil to power that data center, 114 00:05:49,400 --> 00:05:51,520 Speaker 7: even solar for example. For the folks that are looking 115 00:05:51,520 --> 00:05:55,839 Speaker 7: into that, imagine if that one element of that recipe 116 00:05:56,360 --> 00:05:59,800 Speaker 7: is now able to be significantly cheaper. That's what deep 117 00:05:59,839 --> 00:06:03,279 Speaker 7: set has basically shown over the weekend and in going 118 00:06:03,279 --> 00:06:05,159 Speaker 7: into last week as well, that they can do that. 119 00:06:05,200 --> 00:06:07,720 Speaker 7: They can provide the same sort of technology for a 120 00:06:07,839 --> 00:06:10,159 Speaker 7: much cheaper price. So the reason you're seeing the market 121 00:06:10,160 --> 00:06:12,400 Speaker 7: reflected is saying, well, hold on a second, if you 122 00:06:12,440 --> 00:06:15,719 Speaker 7: can do this for not as expensive of the price 123 00:06:15,760 --> 00:06:19,200 Speaker 7: as previously thought, Then why have these stocks been rallying 124 00:06:19,240 --> 00:06:21,039 Speaker 7: to such an extent? And that's kind of the sentiment 125 00:06:21,279 --> 00:06:23,880 Speaker 7: that's driving this global tech route today. 126 00:06:23,800 --> 00:06:25,840 Speaker 4: And it's a sentiment that had driven you know, so 127 00:06:25,920 --> 00:06:28,080 Speaker 4: much of the rally as you mentioned up to now 128 00:06:28,200 --> 00:06:31,839 Speaker 4: that puts a focus of pretty bright spotlight. Now doesn't 129 00:06:31,880 --> 00:06:34,360 Speaker 4: it on the tech earnings that are coming up as 130 00:06:34,400 --> 00:06:37,480 Speaker 4: soon as Wednesday for a lot of these big hyperscalers. 131 00:06:37,880 --> 00:06:40,320 Speaker 7: It absolutely does? And I think context is everything here, Nathan, 132 00:06:40,320 --> 00:06:43,320 Speaker 7: because remember these hyperscalers. I mean, we talk about just 133 00:06:43,360 --> 00:06:45,360 Speaker 7: a handful of companies that are powering and video. I 134 00:06:45,360 --> 00:06:48,640 Speaker 7: remember and Video over about fifty percent of their kind 135 00:06:48,680 --> 00:06:50,960 Speaker 7: of gains and their customer base is really just from 136 00:06:51,040 --> 00:06:54,200 Speaker 7: a handful of the mag seven names, your Amazon's, your Microsoft's, 137 00:06:54,200 --> 00:06:57,000 Speaker 7: et cetera. And they're able to invest that much because 138 00:06:57,040 --> 00:07:00,599 Speaker 7: they are still sitting on trillions of dollars of cash 139 00:07:00,680 --> 00:07:03,760 Speaker 7: post pandemic and things that haven't really been able to 140 00:07:03,760 --> 00:07:06,599 Speaker 7: be deployed in acquisitions. And this is something that the 141 00:07:06,640 --> 00:07:09,159 Speaker 7: tech playbook is known very well for that you know, 142 00:07:09,200 --> 00:07:11,440 Speaker 7: you kind of bolt on some of these deals you 143 00:07:11,480 --> 00:07:14,920 Speaker 7: buy new technology, think of a Facebook, for example, buying 144 00:07:14,960 --> 00:07:17,600 Speaker 7: Instagram back in the day. It's a similar playbook. They 145 00:07:17,600 --> 00:07:20,520 Speaker 7: haven't really been able to do that and use that cash. Instead, 146 00:07:20,760 --> 00:07:22,880 Speaker 7: they're spending a lot of that cash and investment in 147 00:07:23,000 --> 00:07:24,800 Speaker 7: research and of course in AI. 148 00:07:25,000 --> 00:07:25,200 Speaker 3: Now. 149 00:07:25,280 --> 00:07:28,080 Speaker 7: Basically the element here is that maybe you don't need 150 00:07:28,120 --> 00:07:29,800 Speaker 7: to do that. But I'm going to caveat all of this, 151 00:07:29,880 --> 00:07:33,440 Speaker 7: Nathan by simply saying, this is still experimental technology. This 152 00:07:33,520 --> 00:07:35,880 Speaker 7: is still just one example, and we also don't have 153 00:07:35,920 --> 00:07:38,080 Speaker 7: the full figures on what kind of chips they use, 154 00:07:38,520 --> 00:07:40,800 Speaker 7: just how much it's costing, and whether or not there 155 00:07:40,800 --> 00:07:42,480 Speaker 7: are others like it, or if this is just kind 156 00:07:42,520 --> 00:07:45,240 Speaker 7: of a one hit wonder. Those are still the questions 157 00:07:45,240 --> 00:07:46,600 Speaker 7: that remain in this market. 158 00:07:47,880 --> 00:07:51,320 Speaker 2: This is Bloombery Daybreak, your morning podcast on the stories 159 00:07:51,400 --> 00:07:54,440 Speaker 2: making news from Wall Street to Washington and beyond. 160 00:07:54,680 --> 00:07:57,080 Speaker 4: Look for us on your podcast feed by six am 161 00:07:57,120 --> 00:08:00,560 Speaker 4: Eastern each morning, on Apple, Spotify, or manywhere else listen. 162 00:08:00,720 --> 00:08:03,560 Speaker 2: You can also listen live each morning starting at five 163 00:08:03,600 --> 00:08:06,320 Speaker 2: am Wall Street time on Bloomberg eleven three to zero 164 00:08:06,320 --> 00:08:09,240 Speaker 2: in New York, Bloomberg in ninety nine to one in Washington, 165 00:08:09,280 --> 00:08:13,240 Speaker 2: Bloomberg ninety two nine in Boston, and nationwide on serious 166 00:08:13,440 --> 00:08:15,000 Speaker 2: XM Channel one twenty one. 167 00:08:15,400 --> 00:08:18,120 Speaker 4: Plus listen coast to coast on the Bloomberg Business app 168 00:08:18,160 --> 00:08:20,960 Speaker 4: now with Applecarplay and Android auto interfaces. 169 00:08:21,200 --> 00:08:24,240 Speaker 2: And don't forget to subscribe to Bloomberg News Now. It's 170 00:08:24,240 --> 00:08:26,960 Speaker 2: the latest news whenever you want it in five minutes 171 00:08:27,080 --> 00:08:30,200 Speaker 2: or less. Search Bloomberg News Now on your favorite podcast 172 00:08:30,240 --> 00:08:34,400 Speaker 2: platform to stay informed all day long. I'm Karen Moscow. 173 00:08:34,160 --> 00:08:36,720 Speaker 4: And I'm Nathan Hager. Join us again tomorrow morning for 174 00:08:36,760 --> 00:08:38,679 Speaker 4: all the news you need to start your day right 175 00:08:38,720 --> 00:08:40,160 Speaker 4: here on Bloomberg Daybreak