1 00:00:02,520 --> 00:00:13,399 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive 2 00:00:13,440 --> 00:00:17,239 Speaker 1: from coast to coast with Caroline Hyde in New York 3 00:00:17,520 --> 00:00:20,640 Speaker 1: and Vlow in San Francisco. 4 00:00:21,720 --> 00:00:24,120 Speaker 2: This is Bloomberg Tech coming up in video. The world's 5 00:00:24,200 --> 00:00:29,600 Speaker 2: most valuable company underwhelms on earnings as investors digest decelerating growth. 6 00:00:30,080 --> 00:00:33,080 Speaker 2: This as its CFO weighs in on the Trump administration's 7 00:00:33,280 --> 00:00:34,680 Speaker 2: fifteen percent commission on. 8 00:00:34,640 --> 00:00:36,479 Speaker 3: Chip sales, telling us the. 9 00:00:36,479 --> 00:00:40,200 Speaker 2: Plan needs to be codified first, and we break down 10 00:00:40,360 --> 00:00:43,440 Speaker 2: other earnings from the tech world, the Snowflake HP gaining 11 00:00:43,479 --> 00:00:45,440 Speaker 2: on results and Dell on deck after the bell. But 12 00:00:45,560 --> 00:00:48,120 Speaker 2: first are we check in on this market, which of 13 00:00:48,159 --> 00:00:50,800 Speaker 2: course is dragged lower by one key stock we're looking 14 00:00:50,840 --> 00:00:53,240 Speaker 2: in in video, off by nine tenths of a percent 15 00:00:53,440 --> 00:00:56,120 Speaker 2: looking after ours trade yesterday, it was more than three 16 00:00:56,200 --> 00:00:59,680 Speaker 2: percent lower, as people just digest a company that is 17 00:00:59,720 --> 00:01:01,440 Speaker 2: now revenue in with. 18 00:01:01,480 --> 00:01:03,760 Speaker 3: Both of fifty percent. But it's not a two. 19 00:01:03,640 --> 00:01:05,600 Speaker 2: Hundred and sixty percent growth that we were used to 20 00:01:05,680 --> 00:01:08,840 Speaker 2: in previous years. And I'm interested in the focus on 21 00:01:08,959 --> 00:01:09,920 Speaker 2: China in particular. 22 00:01:10,120 --> 00:01:11,280 Speaker 3: This is a company that. 23 00:01:11,240 --> 00:01:14,399 Speaker 2: Has no h twenty sales for fiscal second quarter, no 24 00:01:14,520 --> 00:01:16,640 Speaker 2: sales baked in for the third quarter, but there is 25 00:01:16,720 --> 00:01:19,120 Speaker 2: opportunity there. Just listen to what jensup Huang said on 26 00:01:19,160 --> 00:01:20,680 Speaker 2: the call. 27 00:01:20,800 --> 00:01:23,920 Speaker 4: So I think the you know, the opportunity for us 28 00:01:24,000 --> 00:01:29,720 Speaker 4: to bring Blackwell to the China market is a real possibility. 29 00:01:29,880 --> 00:01:35,039 Speaker 4: And so we just have to keep advocating the sensibility 30 00:01:35,120 --> 00:01:39,039 Speaker 4: of and the importance of American tech companies to be 31 00:01:39,080 --> 00:01:42,800 Speaker 4: able to lead in win the AI. 32 00:01:42,680 --> 00:01:47,080 Speaker 2: Race for more bluebergs Ian King, who covers semiconductors, who 33 00:01:47,160 --> 00:01:50,320 Speaker 2: was up late last night, does this with us. Now, Look, 34 00:01:50,480 --> 00:01:53,720 Speaker 2: China is the big overhang and why some think that 35 00:01:53,760 --> 00:01:56,400 Speaker 2: perhaps the numbers were a little light, largely because we 36 00:01:56,400 --> 00:01:58,160 Speaker 2: didn't know whether to factor in Chinese. 37 00:01:57,800 --> 00:01:58,360 Speaker 3: Revenue or not. 38 00:01:58,400 --> 00:02:03,040 Speaker 5: I yeah, I mean they said that in the release 39 00:02:03,080 --> 00:02:06,440 Speaker 5: and there was nothing China related in there in terms 40 00:02:06,440 --> 00:02:08,640 Speaker 5: of the data center stuff. Then on the call they 41 00:02:08,680 --> 00:02:12,079 Speaker 5: gave us a slightly extended picture and said, look, if 42 00:02:12,120 --> 00:02:14,880 Speaker 5: everything goes okay, if everything gets sorted out, we might 43 00:02:14,919 --> 00:02:18,800 Speaker 5: have up to five billion dollars worth of Chinese revenue. 44 00:02:18,800 --> 00:02:20,919 Speaker 5: And if you add that back into their forecast, then 45 00:02:21,240 --> 00:02:24,280 Speaker 5: this is an amazing quarter for them. So there's a 46 00:02:24,320 --> 00:02:25,359 Speaker 5: lot of moving parts. 47 00:02:25,639 --> 00:02:28,240 Speaker 2: There is and it feels as though it's a knee 48 00:02:28,280 --> 00:02:30,960 Speaker 2: jerk to send the shares lower, many would feel the 49 00:02:31,000 --> 00:02:33,359 Speaker 2: analyst community out there saying, look, strip this out. 50 00:02:33,360 --> 00:02:35,120 Speaker 3: And this was actually quite a rich beat. 51 00:02:35,160 --> 00:02:38,880 Speaker 2: But in you got even more detail from the CFO, 52 00:02:38,960 --> 00:02:41,480 Speaker 2: in particular collect cross walk us through what she said 53 00:02:41,480 --> 00:02:45,480 Speaker 2: about that fifteen percent stake taking that the government wants 54 00:02:45,720 --> 00:02:47,120 Speaker 2: on future H twenty sales. 55 00:02:47,840 --> 00:02:51,000 Speaker 5: Yeah, I mean, I think it's important to frame this appropriately. 56 00:02:51,080 --> 00:02:55,360 Speaker 5: This isn't some kind of political stand or dispute with 57 00:02:55,520 --> 00:02:59,440 Speaker 5: the Trump administration. What she was doing was what investors 58 00:02:59,440 --> 00:03:02,600 Speaker 5: would like to do, which is to you know, for 59 00:03:03,000 --> 00:03:05,399 Speaker 5: sheer duty, which is saying, look, there is no mechanism 60 00:03:05,480 --> 00:03:08,200 Speaker 5: by which I can give fifteen percent of this China 61 00:03:08,240 --> 00:03:13,680 Speaker 5: related revenue to the government as statutes currently exist. Something 62 00:03:13,720 --> 00:03:15,880 Speaker 5: will have to happen before I can do that. So 63 00:03:15,919 --> 00:03:20,639 Speaker 5: she was really just making a point and reassuring investors that, look, 64 00:03:20,680 --> 00:03:23,720 Speaker 5: we are running this company properly according to the rules 65 00:03:23,760 --> 00:03:24,760 Speaker 5: that exist. 66 00:03:24,960 --> 00:03:27,040 Speaker 2: So give us the detail on whether they do or 67 00:03:27,120 --> 00:03:31,440 Speaker 2: do not have licenses to certain Chinese customers yet in 68 00:03:31,480 --> 00:03:33,799 Speaker 2: the bag, and whether or not that two to five 69 00:03:33,840 --> 00:03:36,800 Speaker 2: billion dollars worth for the quarter coming could become a 70 00:03:36,840 --> 00:03:37,560 Speaker 2: reality in. 71 00:03:38,520 --> 00:03:41,440 Speaker 5: Yeah, and again, I mean they were very clear to say, look, 72 00:03:41,480 --> 00:03:44,160 Speaker 5: we've got a few licenses right now, but there are 73 00:03:44,200 --> 00:03:47,760 Speaker 5: so many geopolitical variables in the mix here. What does 74 00:03:47,800 --> 00:03:50,880 Speaker 5: Beijing want? What does Washington really want? Will there be 75 00:03:50,960 --> 00:03:53,640 Speaker 5: more licenses? Will they be given quickly? And all of these, 76 00:03:53,840 --> 00:03:56,800 Speaker 5: to be fair to video, are not knowable right now 77 00:03:56,840 --> 00:03:59,400 Speaker 5: because as we know, things change on a daily basis. 78 00:03:59,440 --> 00:04:02,320 Speaker 5: With a social media post, the whole world changes. So 79 00:04:02,840 --> 00:04:05,320 Speaker 5: I think you know, when people calm down and look 80 00:04:05,360 --> 00:04:07,400 Speaker 5: at what we said, they'll perhaps realize that this is 81 00:04:07,440 --> 00:04:10,880 Speaker 5: something which you know, this is a company taking a conservative, 82 00:04:11,040 --> 00:04:14,960 Speaker 5: perhaps measured approach to it and collect told us and 83 00:04:15,200 --> 00:04:16,960 Speaker 5: that was a message that was given to investors. Look, 84 00:04:16,960 --> 00:04:19,080 Speaker 5: we think we'll get some of this where you know, 85 00:04:19,080 --> 00:04:20,760 Speaker 5: we're not saying this has all gone away, but we 86 00:04:20,880 --> 00:04:22,920 Speaker 5: just don't know when and how much. So we're going 87 00:04:22,960 --> 00:04:24,359 Speaker 5: to be careful, going. 88 00:04:24,200 --> 00:04:27,160 Speaker 2: To be careful, Ian King always careful with this. Who ads, 89 00:04:27,200 --> 00:04:30,080 Speaker 2: we appreciate it. Let's get an investor. Take someone who's 90 00:04:30,120 --> 00:04:33,040 Speaker 2: dug deep onto the detail. Is Nazi Tengler, CEO CEO 91 00:04:33,120 --> 00:04:35,200 Speaker 2: at Leffa Tengo Investments. You've been taking some money off 92 00:04:35,240 --> 00:04:38,360 Speaker 2: the table with Vida recently, You've still got significant exposure. 93 00:04:38,400 --> 00:04:41,599 Speaker 2: And Natzi, what's so interesting is this question mark on China. 94 00:04:42,000 --> 00:04:45,200 Speaker 2: What's your read? Because again and again someone quit saying 95 00:04:45,240 --> 00:04:47,560 Speaker 2: there's a fifty billion dollar opportunity here. 96 00:04:49,000 --> 00:04:51,760 Speaker 6: Yeah, thanks for having me, Caroline, and I agree with 97 00:04:51,800 --> 00:04:54,920 Speaker 6: Ian on just about everything he said. I mean, China's critical, 98 00:04:54,920 --> 00:04:57,520 Speaker 6: of course, but they already took the charge last quarter, 99 00:04:57,960 --> 00:05:02,279 Speaker 6: and so the big disappointment overnight was they came in 100 00:05:02,320 --> 00:05:05,480 Speaker 6: below the whisper number, but their guidance did not include 101 00:05:05,560 --> 00:05:08,800 Speaker 6: China at I think it was fifty four billion, and 102 00:05:09,080 --> 00:05:11,039 Speaker 6: the whisper number was at fifty five. So if you 103 00:05:11,080 --> 00:05:14,040 Speaker 6: back out China from the whisper number, they actually beat 104 00:05:14,120 --> 00:05:17,039 Speaker 6: not only the street but the whisper number on guidance. 105 00:05:17,040 --> 00:05:20,320 Speaker 6: So I'm giving it a triple play. A beat beaten rays, 106 00:05:20,880 --> 00:05:23,800 Speaker 6: but I think it doesn't make I mean, if this 107 00:05:23,920 --> 00:05:26,640 Speaker 6: was a disastrous report, the stock would be off significantly 108 00:05:26,680 --> 00:05:29,760 Speaker 6: more than it is. We trimmed some at one seventy nine. 109 00:05:29,839 --> 00:05:31,960 Speaker 6: That's where it's trading right now. We put it to 110 00:05:32,000 --> 00:05:34,320 Speaker 6: work in some other names like Palanteer and CrowdStrike, and 111 00:05:34,360 --> 00:05:37,120 Speaker 6: we got some good execution there, but it's still four 112 00:05:37,160 --> 00:05:39,799 Speaker 6: percent of our portfolios and a candidate for our twelve 113 00:05:39,800 --> 00:05:43,560 Speaker 6: Best Ideas portfolio. So I think that the report was excellent. 114 00:05:44,000 --> 00:05:47,479 Speaker 6: Decelerating growth is something that Microsoft dealt with with Azure 115 00:05:47,600 --> 00:05:51,960 Speaker 6: early days, from ninety percent now down to thirty. I mean, 116 00:05:52,880 --> 00:05:56,960 Speaker 6: I don't think Nvidious valuation is even as expensive as 117 00:05:57,000 --> 00:05:59,120 Speaker 6: Microsoft if you look at it on price earnings to 118 00:05:59,160 --> 00:06:03,000 Speaker 6: growth basis below one time. So I think this is 119 00:06:03,000 --> 00:06:03,840 Speaker 6: an opportunity. 120 00:06:04,400 --> 00:06:06,880 Speaker 2: I mean, to that point, when a four point four 121 00:06:06,920 --> 00:06:09,320 Speaker 2: trillion dollar company is still delivering in excess of fifty 122 00:06:09,320 --> 00:06:11,640 Speaker 2: percent revenue and earn ex for the share growth, it's 123 00:06:11,680 --> 00:06:12,760 Speaker 2: pretty extraordinary. 124 00:06:12,960 --> 00:06:15,120 Speaker 3: But the opportunity still is so extraordinary. 125 00:06:15,440 --> 00:06:17,240 Speaker 2: I think Jensen Hung did a very good job at 126 00:06:17,360 --> 00:06:21,479 Speaker 2: reminding us four trillion dollars is how big AI infrastructure 127 00:06:21,520 --> 00:06:23,880 Speaker 2: spend could be alone, but he wouldn't really give us 128 00:06:23,920 --> 00:06:27,080 Speaker 2: an amount of how much his take is of that market. 129 00:06:27,320 --> 00:06:28,840 Speaker 3: Can you do the math on that a little bit? 130 00:06:29,720 --> 00:06:29,880 Speaker 7: Well? 131 00:06:29,960 --> 00:06:32,000 Speaker 6: Yeah, I mean, if you look at at earnings growth 132 00:06:32,040 --> 00:06:35,760 Speaker 6: expectations for twenty twenty fiscal year twenty twenty five, it's 133 00:06:35,920 --> 00:06:38,520 Speaker 6: one hundred and thirteen percent growth. For twenty six it's 134 00:06:38,520 --> 00:06:42,120 Speaker 6: fifty percent growth, so you if you factor that in 135 00:06:42,520 --> 00:06:45,400 Speaker 6: to the total numbers, I mean, this could be an 136 00:06:45,440 --> 00:06:50,000 Speaker 6: incrementalion one hundred billion dollars in revenues over the next 137 00:06:50,200 --> 00:06:54,360 Speaker 6: twelve months. Don't forget too, Sovereign is starting to pick up. 138 00:06:54,920 --> 00:06:58,640 Speaker 6: That was about twenty billion euro in expectations. And then 139 00:06:58,680 --> 00:07:01,000 Speaker 6: you've got the buyback putting a floor under the stock. 140 00:07:01,040 --> 00:07:05,279 Speaker 6: They announced a sixty billion dollar buyback. So the market 141 00:07:05,560 --> 00:07:10,160 Speaker 6: share take from Nvidia continues to remain or grow. And 142 00:07:10,200 --> 00:07:12,040 Speaker 6: what was interesting to me today is that you're seeing 143 00:07:12,080 --> 00:07:15,440 Speaker 6: AMD and Broadcon up on the news, but in Vidia 144 00:07:15,560 --> 00:07:16,240 Speaker 6: down slightly. 145 00:07:16,720 --> 00:07:19,560 Speaker 2: It's really interesting actually that all the Chinese names are 146 00:07:19,600 --> 00:07:21,040 Speaker 2: up on the news as well. You just think of 147 00:07:21,080 --> 00:07:24,560 Speaker 2: what's happening with Smick, what you're having with other key 148 00:07:24,560 --> 00:07:27,080 Speaker 2: players who are building out AI accelrators for China. 149 00:07:27,840 --> 00:07:28,320 Speaker 3: AMD. 150 00:07:28,400 --> 00:07:30,960 Speaker 2: It really reminds me of AMD because they'd beat and 151 00:07:31,120 --> 00:07:34,080 Speaker 2: in any ways they raised, but they couldn't give clarity 152 00:07:34,240 --> 00:07:36,400 Speaker 2: on the future of China and they were punished because 153 00:07:36,440 --> 00:07:36,680 Speaker 2: of that. 154 00:07:37,120 --> 00:07:39,400 Speaker 3: Do investors just need to understand. 155 00:07:39,040 --> 00:07:41,920 Speaker 2: That it's very difficult to get real clarity on China. 156 00:07:42,880 --> 00:07:45,600 Speaker 6: Yeah, and Caroline, remember too, there are investors and then 157 00:07:45,640 --> 00:07:48,760 Speaker 6: there are the hedge funds and the algorithms, and the 158 00:07:48,960 --> 00:07:52,680 Speaker 6: latter tend to drive the volatility. Investors like me look 159 00:07:52,720 --> 00:07:55,240 Speaker 6: at opportunities like this and say, I want to be 160 00:07:55,280 --> 00:07:57,640 Speaker 6: in this for the long term. So last summer we 161 00:07:57,680 --> 00:07:59,840 Speaker 6: picked off in video at one hundred dollars a share. 162 00:08:00,160 --> 00:08:02,520 Speaker 6: Remember last summer people were saying the story was over. 163 00:08:02,640 --> 00:08:05,360 Speaker 6: It's not going to continue. The hyper six scalers can't 164 00:08:05,360 --> 00:08:08,360 Speaker 6: continue to spend capex at this level. And not only 165 00:08:08,400 --> 00:08:10,360 Speaker 6: did they do that, but many of them increase their 166 00:08:10,680 --> 00:08:13,800 Speaker 6: capex budgets. So if you think about data center, it's 167 00:08:13,880 --> 00:08:17,400 Speaker 6: twenty nine percent growth, right, But China, he's saying, could 168 00:08:17,400 --> 00:08:20,600 Speaker 6: grow at fifty percent. So to answer your previous question, 169 00:08:21,160 --> 00:08:23,920 Speaker 6: China's growing faster than the rest of the world. But 170 00:08:24,400 --> 00:08:27,640 Speaker 6: twenty nine percent is unlikely to be the growth number. 171 00:08:27,680 --> 00:08:30,080 Speaker 6: It's likely to be closer to thirty to forty percent 172 00:08:30,400 --> 00:08:33,000 Speaker 6: in data center growth for Nvidia in the coming year 173 00:08:33,280 --> 00:08:35,920 Speaker 6: or two. So I think again, as I've said, you 174 00:08:36,440 --> 00:08:40,880 Speaker 6: want to take advantage of these periods of confusion or 175 00:08:41,400 --> 00:08:45,960 Speaker 6: you know, melancholy around the stocks future performance and add 176 00:08:46,000 --> 00:08:48,920 Speaker 6: to your holdings if you own it, and initiate if you. 177 00:08:48,920 --> 00:08:52,520 Speaker 2: Don't, okay, and then the real opportunity is the fact 178 00:08:52,600 --> 00:08:55,560 Speaker 2: that the cadence of innovation keeps them coming. You've got 179 00:08:55,679 --> 00:08:59,920 Speaker 2: Blackwell Blackwell Ultra already in the FABS according to the CFO. 180 00:09:00,000 --> 00:09:03,480 Speaker 2: So is the Ruben an architect show. Why does that 181 00:09:03,520 --> 00:09:03,959 Speaker 2: take us? 182 00:09:05,160 --> 00:09:05,400 Speaker 7: Yeah? 183 00:09:05,480 --> 00:09:07,800 Speaker 6: I mean I think it takes us to quantum and 184 00:09:07,840 --> 00:09:12,440 Speaker 6: then some I think, you know, robotics. We've launched a 185 00:09:12,480 --> 00:09:14,800 Speaker 6: new fund that we're incubating at the firm and it's 186 00:09:14,800 --> 00:09:17,880 Speaker 6: called New Ara Thematic and it's all of the above. 187 00:09:18,000 --> 00:09:21,679 Speaker 6: So you know, it's not just nuclear, it's quantum, it's robotics, 188 00:09:21,720 --> 00:09:26,040 Speaker 6: because photonics. So this is an area that investors need 189 00:09:26,080 --> 00:09:29,120 Speaker 6: to be sure they're not underestimating. You know, I heard 190 00:09:29,160 --> 00:09:32,920 Speaker 6: the naysayers overnight it's decelerating the growth. There's not ai 191 00:09:33,000 --> 00:09:35,480 Speaker 6: trade is over. It's not even close to over. We're 192 00:09:35,520 --> 00:09:38,600 Speaker 6: in the early stages, and I think you want to 193 00:09:38,640 --> 00:09:41,120 Speaker 6: be continue to be looking around and look for those 194 00:09:41,160 --> 00:09:43,160 Speaker 6: that are going to get left behind. And there will 195 00:09:43,200 --> 00:09:45,800 Speaker 6: be companies I believe, like Adobe that will probably get 196 00:09:45,880 --> 00:09:49,440 Speaker 6: left behind. But then you want to focus on the 197 00:09:49,440 --> 00:09:51,400 Speaker 6: winners and you don't want to shy away from them 198 00:09:51,559 --> 00:09:54,840 Speaker 6: too early. And this is I think Reuben is the 199 00:09:54,840 --> 00:09:59,360 Speaker 6: next stage Blackwell had. We haven't even realized the staggering 200 00:09:59,400 --> 00:10:02,960 Speaker 6: demand for Blackwell that Jensen Wong spoke about last night. 201 00:10:03,120 --> 00:10:07,520 Speaker 6: So yeah, strap in it's going to be vol little 202 00:10:07,559 --> 00:10:08,800 Speaker 6: bit volatile to the upside. 203 00:10:08,920 --> 00:10:11,720 Speaker 2: It's interesting yesterday we had Jamigambetta of IBM on talking 204 00:10:11,760 --> 00:10:15,280 Speaker 2: about their deal while that partnership with AMD, the fact 205 00:10:15,280 --> 00:10:16,840 Speaker 2: that they're looking in the future of soup coop and 206 00:10:16,840 --> 00:10:20,840 Speaker 2: computing twinning with the future of quantum as well. You're 207 00:10:20,840 --> 00:10:23,520 Speaker 2: talking about that as an area of growth. Where are 208 00:10:23,559 --> 00:10:27,160 Speaker 2: these companies, though, managing to pick away at in Video's 209 00:10:27,240 --> 00:10:30,600 Speaker 2: chants really with inference? Because yes, they are the chip 210 00:10:30,640 --> 00:10:32,840 Speaker 2: of choice, they are the architecture of choice when it 211 00:10:32,880 --> 00:10:35,319 Speaker 2: comes to training models. Are they really the only game 212 00:10:35,360 --> 00:10:36,480 Speaker 2: in town when it comes to inference? 213 00:10:37,640 --> 00:10:39,160 Speaker 3: No, I mean I think not. 214 00:10:39,559 --> 00:10:42,199 Speaker 6: But that doesn't mean it's just like, you know, maybe 215 00:10:42,240 --> 00:10:46,200 Speaker 6: you could argue that Microsoft sort of pioneered cloud computing. 216 00:10:46,480 --> 00:10:50,840 Speaker 6: Larry Ellison might disagree with us from Oracle, but but 217 00:10:51,000 --> 00:10:54,160 Speaker 6: you can. But you know, you see eventually they that 218 00:10:54,240 --> 00:10:57,679 Speaker 6: their growth slowed, but there's still a dominant provider and 219 00:10:58,040 --> 00:11:00,960 Speaker 6: AWS obviously would disagree with me that as well. But 220 00:11:01,720 --> 00:11:05,760 Speaker 6: so I think you have to step back look at 221 00:11:05,840 --> 00:11:10,640 Speaker 6: where the marginal erosion is coming from. Yes, we know 222 00:11:10,760 --> 00:11:15,360 Speaker 6: Apple and Microsoft are developing your own chips. That's that's fine. 223 00:11:15,440 --> 00:11:17,480 Speaker 6: I don't think that's going to change the dynamic. It 224 00:11:17,520 --> 00:11:20,920 Speaker 6: goes back to Jevon's paradox. So when we had the 225 00:11:20,920 --> 00:11:24,160 Speaker 6: deep Seek news, you know, everybody sold the stocks. I 226 00:11:24,200 --> 00:11:26,520 Speaker 6: happened to be on air that day and said, listen, 227 00:11:26,600 --> 00:11:30,120 Speaker 6: this is an opportunity because Morbi gets more, and so 228 00:11:30,280 --> 00:11:33,640 Speaker 6: I think this is I mean, that's that's really the story. 229 00:11:33,760 --> 00:11:37,080 Speaker 6: That they can lose share and still be growing at 230 00:11:37,240 --> 00:11:40,000 Speaker 6: rapid pace. And the margins. We haven't even talked about 231 00:11:40,040 --> 00:11:43,640 Speaker 6: the margins. You know about seventy percent. I mean, I 232 00:11:43,640 --> 00:11:45,599 Speaker 6: don't know what there is to complain about. 233 00:11:46,920 --> 00:11:50,080 Speaker 2: Instagram add a sixty brilliant lot of stock buyback, I mean, 234 00:11:50,160 --> 00:11:53,160 Speaker 2: and still the stock cast away some Nancy tang of 235 00:11:53,240 --> 00:11:55,920 Speaker 2: lef at Tangra Investments. It's always so good Tavy on 236 00:11:55,920 --> 00:11:57,960 Speaker 2: the show, Thank you very much. Indeed wearing a leather 237 00:11:58,080 --> 00:12:00,000 Speaker 2: an ode to Jensen that I mean, well, coming up 238 00:12:00,240 --> 00:12:02,640 Speaker 2: more in Nvidia as China trade tensions. Of course, they're 239 00:12:02,679 --> 00:12:05,000 Speaker 2: weighing on earnings. We're going to speak with Teresa Payton 240 00:12:05,120 --> 00:12:09,000 Speaker 2: for Alis Solutions CEO on the China AI landscape. 241 00:12:09,000 --> 00:12:09,840 Speaker 3: This is Bloomberg Tech. 242 00:12:21,480 --> 00:12:24,200 Speaker 2: Check in on those Nvidia shares we're off by let's 243 00:12:24,200 --> 00:12:26,400 Speaker 2: call it nine ten percent for a more than four 244 00:12:26,480 --> 00:12:29,680 Speaker 2: trillion dollar stock. That's thirty eight billion that you've just 245 00:12:29,720 --> 00:12:33,400 Speaker 2: wiped out in terms of market capitalization in Vidia's business. 246 00:12:33,600 --> 00:12:37,280 Speaker 2: I mean the overhang has been China clouding the area 247 00:12:37,320 --> 00:12:39,600 Speaker 2: because of trade tensions. That the company now saying that 248 00:12:39,920 --> 00:12:42,800 Speaker 2: unconventional plan of course by the Trump administration to charge 249 00:12:42,800 --> 00:12:46,080 Speaker 2: a fifteen percent commission on AI chip sales to China 250 00:12:46,520 --> 00:12:49,400 Speaker 2: when it hasn't progressed actually beyond its early stages. Let's 251 00:12:49,440 --> 00:12:52,160 Speaker 2: check in what the CFO, Collect Crest told us earlier. 252 00:12:52,640 --> 00:12:54,840 Speaker 2: She said to Bloomberg, I don't have to do this 253 00:12:54,920 --> 00:12:57,880 Speaker 2: fifteen percent until I see something that is a true 254 00:12:58,040 --> 00:13:02,160 Speaker 2: regulatory document. Let's get more from New Meg's executive editor. 255 00:13:01,960 --> 00:13:02,559 Speaker 3: Mike Shephard. 256 00:13:02,679 --> 00:13:06,319 Speaker 2: You really sit at the intersection of politics and technology mine. 257 00:13:06,440 --> 00:13:08,760 Speaker 2: So the ball is in the administration's court. They've told 258 00:13:08,840 --> 00:13:11,000 Speaker 2: us that they're going to take fifteen percent. Well, where's 259 00:13:11,000 --> 00:13:12,280 Speaker 2: the regulatory approval here? 260 00:13:12,920 --> 00:13:16,000 Speaker 8: Well, that's really the question of the hour here in Washington, 261 00:13:16,080 --> 00:13:19,680 Speaker 8: in Silicon Valley and on Wall Street. When are we 262 00:13:19,760 --> 00:13:22,680 Speaker 8: going to see the fine print on this? And as 263 00:13:22,800 --> 00:13:25,920 Speaker 8: Ian noted at the top of the hour, the company 264 00:13:25,960 --> 00:13:28,920 Speaker 8: is proceeding very carefully on this front. It doesn't want 265 00:13:28,960 --> 00:13:33,160 Speaker 8: to commit without seeing something in writing, because the terms 266 00:13:33,200 --> 00:13:38,440 Speaker 8: could even change, especially with this administration halfway through. So 267 00:13:38,679 --> 00:13:41,400 Speaker 8: they want to make sure they see this imprint and 268 00:13:41,480 --> 00:13:45,240 Speaker 8: if they understand the legal and regulatory mechanism under which 269 00:13:45,280 --> 00:13:48,319 Speaker 8: they would make these payments to the US Treasury. Remember, 270 00:13:48,520 --> 00:13:51,400 Speaker 8: it's not quite a tax, it's not quite an import fee. 271 00:13:51,440 --> 00:13:53,680 Speaker 8: It's really kind of hard to figure out how they 272 00:13:53,720 --> 00:13:56,520 Speaker 8: would define it. And in a way it is holding 273 00:13:56,800 --> 00:13:59,760 Speaker 8: the company up a little bit in terms of making 274 00:14:00,080 --> 00:14:03,760 Speaker 8: those sales once again of the age twenty AI chip 275 00:14:03,800 --> 00:14:07,000 Speaker 8: to Chinese customers. They don't want to proceed too fast, 276 00:14:07,080 --> 00:14:10,160 Speaker 8: as a CFO suggest that they had the right to do. 277 00:14:10,280 --> 00:14:13,080 Speaker 8: They have some of the export licenses in hand. But 278 00:14:13,120 --> 00:14:16,280 Speaker 8: then again, if they proceed without actually giving the government 279 00:14:16,640 --> 00:14:20,560 Speaker 8: a cut, that does risk angering the administration. And this 280 00:14:20,640 --> 00:14:24,000 Speaker 8: is a government that Jensen Wong, the CEO of Nvidia, 281 00:14:24,040 --> 00:14:28,040 Speaker 8: has tried very hard to cultivate good terms with He 282 00:14:28,160 --> 00:14:30,840 Speaker 8: is visited with President Donald Trump a number of times, 283 00:14:31,000 --> 00:14:33,200 Speaker 8: and the two men have built this report. So they 284 00:14:33,240 --> 00:14:36,040 Speaker 8: want to make sure they are treading carefully here, Caro, 285 00:14:36,440 --> 00:14:38,840 Speaker 8: because they're playing the long game. They are looking ahead 286 00:14:38,880 --> 00:14:41,160 Speaker 8: to how Trump can help them in China. 287 00:14:41,200 --> 00:14:44,120 Speaker 2: And I think Jensen and his CFO are trying to 288 00:14:44,560 --> 00:14:47,600 Speaker 2: really remind the administration just how much money's left on 289 00:14:47,640 --> 00:14:49,600 Speaker 2: the table. Up to five billion dollars worth could be 290 00:14:49,640 --> 00:14:52,600 Speaker 2: made in H twenty sales in this next quarter alone. 291 00:14:52,680 --> 00:14:56,000 Speaker 2: They're talking about the fifty billion dollar opportunity of China 292 00:14:56,040 --> 00:15:00,560 Speaker 2: sales if they can get a modified Blackwell architecture the country. 293 00:15:00,560 --> 00:15:02,440 Speaker 2: And that really was what Jensen was talking about, his 294 00:15:02,520 --> 00:15:05,960 Speaker 2: hopes to talk to Trump about that, and actually the administration, 295 00:15:06,080 --> 00:15:10,080 Speaker 2: in fact, President Trump has put messages out posted on 296 00:15:10,160 --> 00:15:12,880 Speaker 2: his truth social about the fact that he expects some 297 00:15:12,880 --> 00:15:15,080 Speaker 2: sort of request. 298 00:15:14,440 --> 00:15:18,040 Speaker 8: Yes, and he is signaling his openness to granting that 299 00:15:18,240 --> 00:15:22,400 Speaker 8: permission to the company to sell a scaleback version of 300 00:15:22,440 --> 00:15:26,760 Speaker 8: the market leading Blackwell chip to Chinese customers. Now, again, 301 00:15:26,800 --> 00:15:29,960 Speaker 8: we would expect the president to insist on getting his cup. 302 00:15:30,000 --> 00:15:32,600 Speaker 8: Would it be fifteen percent, would it be more? What 303 00:15:32,640 --> 00:15:35,960 Speaker 8: other demands might he put there, But again, this would 304 00:15:36,000 --> 00:15:38,520 Speaker 8: be very much in tune and in line with what 305 00:15:38,560 --> 00:15:41,880 Speaker 8: the administration is doing, not only with Nvidia, but also 306 00:15:41,960 --> 00:15:44,280 Speaker 8: in a way trying to, I guess, restore some of 307 00:15:44,280 --> 00:15:47,600 Speaker 8: those economic and political ties with China that we've seen 308 00:15:47,680 --> 00:15:48,840 Speaker 8: bruised over the years. 309 00:15:49,360 --> 00:15:52,240 Speaker 2: Mike Shephard, we thank you so much, Bloomberg. Let's get 310 00:15:52,280 --> 00:15:55,360 Speaker 2: more insight now. Teresa Payden's with us for Tallis Solution CEO, 311 00:15:55,440 --> 00:15:59,200 Speaker 2: former White House Chief Information Officer. At the moment, we're 312 00:15:59,240 --> 00:16:03,200 Speaker 2: seeing Chinese rivals gain on the back of this lack 313 00:16:03,240 --> 00:16:04,280 Speaker 2: of Nvidio competition. 314 00:16:04,400 --> 00:16:05,640 Speaker 3: Right now, what do you make of it? 315 00:16:07,160 --> 00:16:09,360 Speaker 9: Well, all I know is we're going to have to 316 00:16:09,360 --> 00:16:12,120 Speaker 9: figure out there's a long race here and a short 317 00:16:12,200 --> 00:16:15,040 Speaker 9: race here, and we have to secure not only our 318 00:16:15,520 --> 00:16:19,520 Speaker 9: global leadership but also our intellectual property. And that's really 319 00:16:19,800 --> 00:16:22,760 Speaker 9: some of the underpinning of the discussions here of is 320 00:16:22,760 --> 00:16:24,960 Speaker 9: there a fifteen percent? Is there not a fifteen percent? 321 00:16:25,040 --> 00:16:28,720 Speaker 9: What does this mean from an export control? So a 322 00:16:28,760 --> 00:16:31,760 Speaker 9: lot more to come on this, but obviously China is 323 00:16:31,840 --> 00:16:34,960 Speaker 9: amping up their part in the race, trying to win 324 00:16:35,120 --> 00:16:38,080 Speaker 9: the global war on who's going to dominate AI? 325 00:16:38,600 --> 00:16:40,000 Speaker 3: What is the IP risk. 326 00:16:41,240 --> 00:16:44,200 Speaker 9: Well, the IP risk. So even though we're talking about 327 00:16:44,240 --> 00:16:48,760 Speaker 9: sending a modified chip over to China, in my opinion, 328 00:16:48,800 --> 00:16:51,200 Speaker 9: based on my years of experience, it's like handing over 329 00:16:51,240 --> 00:16:53,400 Speaker 9: the keys to your R and D lab and saying 330 00:16:53,480 --> 00:16:56,280 Speaker 9: just be in the small QA lab, not in the 331 00:16:56,280 --> 00:16:59,440 Speaker 9: bigger lab, and don't look around. You wouldn't hand the 332 00:16:59,520 --> 00:17:01,880 Speaker 9: keys to your R and D lab to your competitor. 333 00:17:02,240 --> 00:17:05,720 Speaker 9: And China is our global competitor here for this technology. 334 00:17:05,800 --> 00:17:08,480 Speaker 9: So that really what we're thinking about here is how 335 00:17:08,520 --> 00:17:12,040 Speaker 9: could they get access to these chips and perhaps reverse 336 00:17:12,119 --> 00:17:17,240 Speaker 9: engineer everything from performance to how things behave. Really, you 337 00:17:17,400 --> 00:17:19,240 Speaker 9: just don't know what they're going to be able to 338 00:17:19,280 --> 00:17:21,359 Speaker 9: do once they have their hands on all these chips. 339 00:17:21,520 --> 00:17:24,520 Speaker 2: Teresa, let's say you're back as the White House Chief 340 00:17:24,520 --> 00:17:28,080 Speaker 2: Information officer. What are you advising President Trump as to 341 00:17:28,119 --> 00:17:31,119 Speaker 2: whether Jensen should have access to the Chinese market. 342 00:17:32,720 --> 00:17:34,960 Speaker 9: Well, I think this is a tough one because the 343 00:17:35,000 --> 00:17:38,239 Speaker 9: private sector does have the right. You know, companies do 344 00:17:38,320 --> 00:17:41,639 Speaker 9: have the right to sell their goods and services all 345 00:17:41,680 --> 00:17:45,040 Speaker 9: around the globe. We don't have a blockade on selling 346 00:17:45,160 --> 00:17:48,840 Speaker 9: technology and other goods and services to China. So this 347 00:17:48,920 --> 00:17:52,080 Speaker 9: is a very delicate balance here between a White House 348 00:17:52,119 --> 00:17:55,840 Speaker 9: administration and a private sector organization. And so really what 349 00:17:55,880 --> 00:17:57,360 Speaker 9: you have to do is look at the laws we 350 00:17:57,400 --> 00:17:59,880 Speaker 9: already have on the books, and then so what kind 351 00:17:59,880 --> 00:18:04,119 Speaker 9: of safeguards is this US based company going to follow 352 00:18:04,160 --> 00:18:06,359 Speaker 9: based on the laws on the books, What types of 353 00:18:06,359 --> 00:18:10,320 Speaker 9: inspection processes, what types of control processes. There is a 354 00:18:10,359 --> 00:18:14,359 Speaker 9: playbook for doing this, even though this technology is new, 355 00:18:14,440 --> 00:18:16,520 Speaker 9: and so we have to look at this playbook. The 356 00:18:16,640 --> 00:18:19,800 Speaker 9: question is is whether or not new rules and regulations 357 00:18:19,800 --> 00:18:21,560 Speaker 9: are going to be codified. And I think that's the 358 00:18:21,640 --> 00:18:24,320 Speaker 9: open question that in Nvidia is having to deal with. 359 00:18:25,280 --> 00:18:28,560 Speaker 2: In Vidia put in its ten Q that it could 360 00:18:28,600 --> 00:18:34,280 Speaker 2: be exposed to potential legal implications because of this fifteen 361 00:18:34,280 --> 00:18:35,840 Speaker 2: percent issue. 362 00:18:36,240 --> 00:18:38,960 Speaker 3: What would it face in terms of legal issues? 363 00:18:40,640 --> 00:18:43,520 Speaker 9: Well, if we end up codifying some type of a 364 00:18:43,640 --> 00:18:50,000 Speaker 9: new barrier to the market in China or enforcing one 365 00:18:50,000 --> 00:18:52,320 Speaker 9: of the existing regulations in a way that hasn't been 366 00:18:52,400 --> 00:18:55,000 Speaker 9: enforced before, then in Video would have to make the 367 00:18:55,040 --> 00:18:59,600 Speaker 9: decision of am I now blockaded from actually selling to China? 368 00:18:59,720 --> 00:19:01,800 Speaker 9: Or do I have a lot of burdens on me 369 00:19:01,920 --> 00:19:04,440 Speaker 9: that maybe don't exist for other companies who are selling 370 00:19:04,440 --> 00:19:07,600 Speaker 9: technology to China. Remember, you've got big tech who's in 371 00:19:07,720 --> 00:19:10,720 Speaker 9: China's social media is in China. It's not just Nvidia 372 00:19:10,760 --> 00:19:13,439 Speaker 9: who is selling goods and services to China. And so 373 00:19:13,560 --> 00:19:16,679 Speaker 9: they may decide, well, this is an undue burden placed 374 00:19:16,720 --> 00:19:19,720 Speaker 9: on us. So they may decide to take on a lawsuit, 375 00:19:20,320 --> 00:19:24,480 Speaker 9: or they may find themselves answering to for example, Siphius. 376 00:19:24,960 --> 00:19:27,800 Speaker 9: As you know, TikTok Usa has had a lot of 377 00:19:27,880 --> 00:19:31,280 Speaker 9: legal challenges in legal bills as it relates to how 378 00:19:31,320 --> 00:19:35,160 Speaker 9: they operate and sifias interpretations of how they operate. So 379 00:19:35,240 --> 00:19:37,760 Speaker 9: I think they're just kind of looking at past cases 380 00:19:37,800 --> 00:19:41,360 Speaker 9: president precedent and then also looking at the president's remarks 381 00:19:41,400 --> 00:19:45,600 Speaker 9: as a potential future precedent and deciding that there could 382 00:19:45,680 --> 00:19:49,080 Speaker 9: be a risk for a long protracted legal battle. 383 00:19:49,640 --> 00:19:50,360 Speaker 3: Theresa. 384 00:19:50,720 --> 00:19:53,040 Speaker 2: We heard from Jensen Wang there's a fifty billion dollar 385 00:19:53,080 --> 00:19:57,080 Speaker 2: opportunity in this year alone in China, but push out 386 00:19:57,119 --> 00:20:00,000 Speaker 2: five years. Does that exist at the rate that Chinese 387 00:20:00,119 --> 00:20:02,920 Speaker 2: government trying to push their own companies away from the 388 00:20:03,000 --> 00:20:03,800 Speaker 2: US tech stack. 389 00:20:04,880 --> 00:20:07,879 Speaker 9: Yeah, it may not exist in the future. That is 390 00:20:07,920 --> 00:20:10,919 Speaker 9: a tough one. All I can tell you is from 391 00:20:11,160 --> 00:20:14,879 Speaker 9: the frontlines of working with companies who have done business 392 00:20:14,960 --> 00:20:20,440 Speaker 9: with China. It is a very tricky proposition, especially as 393 00:20:20,440 --> 00:20:23,199 Speaker 9: it relates to cutting edge technologies, whether it's sort of 394 00:20:23,240 --> 00:20:27,960 Speaker 9: like clean energy, whether it's computer technology, and it's very 395 00:20:28,000 --> 00:20:31,560 Speaker 9: difficult and challenging to really understand what the regulatory environment 396 00:20:31,640 --> 00:20:34,320 Speaker 9: is going to be and the protection for your intellectual property. 397 00:20:34,680 --> 00:20:34,879 Speaker 6: You know. 398 00:20:34,960 --> 00:20:38,400 Speaker 9: Kind of the big elephant that we're not discussing in 399 00:20:38,480 --> 00:20:40,720 Speaker 9: having all of these conversations is we have a new 400 00:20:41,640 --> 00:20:45,560 Speaker 9: more detailed report from the FBI on Salt Typhoon, and 401 00:20:45,600 --> 00:20:48,680 Speaker 9: the findings from that report are stunning. We're talking eighty 402 00:20:48,720 --> 00:20:52,159 Speaker 9: countries were impacted, not just the United States, and the 403 00:20:52,320 --> 00:20:56,000 Speaker 9: access to metadata, phone calls and other information. You know, 404 00:20:56,040 --> 00:20:58,199 Speaker 9: this is one of those things in China denies that 405 00:20:58,240 --> 00:21:00,119 Speaker 9: they had any part in this, but this is one 406 00:21:00,160 --> 00:21:02,639 Speaker 9: of those things where we're seeing sort of this vacuum 407 00:21:02,680 --> 00:21:08,400 Speaker 9: cleaner effect of China basically vacuuming up intellectual property data 408 00:21:08,520 --> 00:21:12,040 Speaker 9: information to use it for economic espionage. 409 00:21:12,440 --> 00:21:14,480 Speaker 2: That was a breach that really hit the major US 410 00:21:14,560 --> 00:21:17,280 Speaker 2: carries in particular Verizon and AT and T and T Mobile. 411 00:21:17,359 --> 00:21:20,159 Speaker 2: Teresa Payton, thanks for reminding of us off it for 412 00:21:20,280 --> 00:21:23,439 Speaker 2: Alice Solutions and it's time now for Talking Tech and 413 00:21:23,480 --> 00:21:26,000 Speaker 2: first Up d D Global will pay seven and forty 414 00:21:26,040 --> 00:21:29,360 Speaker 2: million dollars to resolve a sharehold or lawsuit concerning it's 415 00:21:29,400 --> 00:21:32,119 Speaker 2: fort twenty twenty one USIPO Now, an offering that not 416 00:21:32,240 --> 00:21:35,520 Speaker 2: only attracted into its scrutiny from Beijing also preceeded the 417 00:21:35,560 --> 00:21:38,800 Speaker 2: company's dlisting. The right Haling Giant announce the deal Thursday 418 00:21:38,800 --> 00:21:42,280 Speaker 2: alongside its second quarter results. Plus Taiwan, the prosecutors have 419 00:21:42,400 --> 00:21:45,719 Speaker 2: charged three people for allegedly stealing trade secrets from TSMC, 420 00:21:46,119 --> 00:21:49,320 Speaker 2: alleging that proprietary tech was stolen to help improve a. 421 00:21:49,440 --> 00:21:51,080 Speaker 3: Take Tokyo Electron Now. 422 00:21:51,119 --> 00:21:53,600 Speaker 2: Taiwan is seeking jail terms for at least seven years 423 00:21:53,600 --> 00:21:56,720 Speaker 2: for the Trio, citing threat to the islands, national security 424 00:21:57,119 --> 00:22:00,360 Speaker 2: and delivery hero cub It's earnings guidance for the full 425 00:22:00,440 --> 00:22:03,400 Speaker 2: year this after a week dollar in South Korean one cut, 426 00:22:03,440 --> 00:22:06,520 Speaker 2: interprofit and free cashlow look. The company saw revenue rise 427 00:22:06,640 --> 00:22:08,640 Speaker 2: nearly eight point four billion dollars in the first half, 428 00:22:08,640 --> 00:22:11,359 Speaker 2: but faces increased competition for rivals in Asia and the 429 00:22:11,359 --> 00:22:15,120 Speaker 2: Middle East. And coming up more on Nvidia, let's take 430 00:22:15,119 --> 00:22:18,399 Speaker 2: a look at the stock and other global chip exposed names. 431 00:22:18,640 --> 00:22:21,320 Speaker 2: Shine Light on ASML. It is lower in sympathy. That's 432 00:22:21,359 --> 00:22:24,400 Speaker 2: the European hip equipment maker can look on though. This 433 00:22:24,440 --> 00:22:26,480 Speaker 2: is the upstart in China trying to eat in on 434 00:22:26,560 --> 00:22:30,600 Speaker 2: AI accelerators in that country. We're p fifteen percent record high. 435 00:22:30,760 --> 00:22:33,240 Speaker 2: It has doubled its market cap in this month alone. 436 00:22:33,520 --> 00:22:34,400 Speaker 3: This is Bloomberg Tech. 437 00:22:44,359 --> 00:22:46,720 Speaker 2: Welcome back to Bloomberg Tech. We take a look at 438 00:22:46,720 --> 00:22:49,880 Speaker 2: the earning story. Because benchmark's relatively flat, we're actually higher 439 00:22:50,160 --> 00:22:53,280 Speaker 2: just on the likes of the Nasdaq one hundred. I'm 440 00:22:53,320 --> 00:22:56,280 Speaker 2: looking at what's happening with Snowflake having an absolutely brilliant 441 00:22:56,359 --> 00:22:58,160 Speaker 2: day best place that's November twenty twenty four. 442 00:22:58,160 --> 00:22:59,359 Speaker 3: We're up eighteen percent. 443 00:23:00,160 --> 00:23:03,359 Speaker 2: Are showing that the desire for Agenderki is working in 444 00:23:03,359 --> 00:23:04,240 Speaker 2: their business right now. 445 00:23:04,359 --> 00:23:05,760 Speaker 3: Revenue grow thirty two percent. 446 00:23:05,800 --> 00:23:08,200 Speaker 2: They beat and they raised as well in terms of 447 00:23:08,200 --> 00:23:11,240 Speaker 2: their forward looking guidance. The analysts across the street really 448 00:23:11,280 --> 00:23:13,960 Speaker 2: liking the strength coming from this particular software company that 449 00:23:13,960 --> 00:23:17,280 Speaker 2: many had anxiety perhaps that new AI startups the spell 450 00:23:17,320 --> 00:23:17,760 Speaker 2: to eat. 451 00:23:17,640 --> 00:23:18,480 Speaker 3: Into the business model. 452 00:23:18,520 --> 00:23:21,119 Speaker 2: No, no, they're managing to show real growth here and 453 00:23:21,160 --> 00:23:23,760 Speaker 2: retention of customers. Move on though, and we're all a 454 00:23:23,840 --> 00:23:26,760 Speaker 2: little bit lackluster about what happened with Nvidia last night. 455 00:23:26,960 --> 00:23:29,280 Speaker 3: Look, this is a company that delivered fifty six percent 456 00:23:29,320 --> 00:23:30,800 Speaker 3: revenue growth for their fiscal second quarter. 457 00:23:30,880 --> 00:23:33,680 Speaker 2: Fifty four billion dollars is promised for the fiscal third quarter, 458 00:23:33,800 --> 00:23:35,800 Speaker 2: and that's not including any Chinese revenue. 459 00:23:35,800 --> 00:23:36,920 Speaker 3: That's only upside. 460 00:23:37,040 --> 00:23:39,000 Speaker 2: But this is already a company that was very close 461 00:23:39,040 --> 00:23:40,560 Speaker 2: to its record highs were off by one and a 462 00:23:40,640 --> 00:23:42,720 Speaker 2: quarter percent, but off of those lows in the pre 463 00:23:42,800 --> 00:23:45,680 Speaker 2: market trade, here is the reaction on the results from 464 00:23:45,720 --> 00:23:49,200 Speaker 2: a few analysts on Blueberg TV on Invidia. 465 00:23:49,400 --> 00:23:53,320 Speaker 10: When we have a beat and stocks don't go up 466 00:23:53,440 --> 00:23:55,640 Speaker 10: or as hot stock like in video doesn't go up 467 00:23:55,840 --> 00:23:58,439 Speaker 10: where it starts to roll over a little bit, that 468 00:23:58,640 --> 00:24:02,120 Speaker 10: suggests to a trader and a technical analyst that everyone 469 00:24:02,119 --> 00:24:06,000 Speaker 10: who might own the stock already does. But we're nowhere 470 00:24:06,040 --> 00:24:06,720 Speaker 10: near there yet. 471 00:24:07,080 --> 00:24:09,920 Speaker 11: The reason the stock has recouped some of those losses 472 00:24:09,960 --> 00:24:14,080 Speaker 11: and I think will rule retain strength is because of 473 00:24:14,119 --> 00:24:17,360 Speaker 11: that guide. For Q three, it was very strong. It's 474 00:24:17,400 --> 00:24:21,240 Speaker 11: really all about Q three, and it's because Blackwell and 475 00:24:21,320 --> 00:24:24,239 Speaker 11: Blackwell Ultra are starting to ship, and if you know 476 00:24:24,320 --> 00:24:26,960 Speaker 11: that story, you're not selling this stock right now. 477 00:24:27,200 --> 00:24:30,080 Speaker 7: They were very good about signaling to the market that 478 00:24:30,160 --> 00:24:33,000 Speaker 7: the chinahovertainning could continue and that has about a five 479 00:24:33,040 --> 00:24:37,240 Speaker 7: billion dollar impact in the next quarters numbers. So, having 480 00:24:37,280 --> 00:24:40,720 Speaker 7: said that, fifty four billion represents a very strong showing, 481 00:24:40,760 --> 00:24:43,679 Speaker 7: which means they expect hyperscalers and other parts of the 482 00:24:43,720 --> 00:24:46,080 Speaker 7: world to pick up that slack. 483 00:24:46,800 --> 00:24:49,719 Speaker 2: More reaction for you now from an investor. Daniel Pilling's 484 00:24:49,720 --> 00:24:51,479 Speaker 2: with US Sans Capital Ponio manager. 485 00:24:51,800 --> 00:24:53,400 Speaker 3: So why is the stock down? 486 00:24:55,480 --> 00:24:58,000 Speaker 12: Well, I think there's a few reasons. One stock had 487 00:24:58,040 --> 00:25:01,320 Speaker 12: a good run into the quarter, and two it probably 488 00:25:01,400 --> 00:25:03,919 Speaker 12: slightly a missed sort of the byside expectations and it 489 00:25:04,000 --> 00:25:08,480 Speaker 12: was mainly around I think China. And then secondly black 490 00:25:08,520 --> 00:25:10,760 Speaker 12: Hole is still a little bit supply constraints, so that 491 00:25:10,960 --> 00:25:12,800 Speaker 12: ramping it as fast as they can, but I guess 492 00:25:12,800 --> 00:25:15,400 Speaker 12: the ramp wasn't fast enough. But I would say though 493 00:25:15,440 --> 00:25:18,720 Speaker 12: to us, those were pretty strong results and maybe one 494 00:25:18,760 --> 00:25:21,560 Speaker 12: interesting fact to look at if you take out the 495 00:25:21,680 --> 00:25:25,199 Speaker 12: China revenues completely out of the data center, then the 496 00:25:25,200 --> 00:25:27,720 Speaker 12: rest of the world for them actually accelerated from about 497 00:25:28,080 --> 00:25:30,679 Speaker 12: sixty ish percent growth in Q one this year to 498 00:25:30,720 --> 00:25:33,520 Speaker 12: a guide that eighty percent growth in Q three this year. 499 00:25:33,880 --> 00:25:36,880 Speaker 12: So actually in Nvidia X China has been accelerating, which 500 00:25:36,880 --> 00:25:38,000 Speaker 12: which I think is really strong. 501 00:25:38,440 --> 00:25:40,840 Speaker 3: I think that's a really interesting take. We had Vladimir 502 00:25:41,000 --> 00:25:42,800 Speaker 3: Galibov from MDA. 503 00:25:42,400 --> 00:25:46,960 Speaker 2: Yesterday talking about how Europe is stopped starting certain countries. 504 00:25:47,200 --> 00:25:49,720 Speaker 2: You've got them up really going hard on sovereign AI, 505 00:25:49,920 --> 00:25:53,080 Speaker 2: other countries less. So we got told twenty billion dollars 506 00:25:53,119 --> 00:25:56,240 Speaker 2: for sovereign AI. Is that strong enough for you, Daniel, Yeah, I. 507 00:25:56,200 --> 00:25:58,080 Speaker 12: Think that's a great number. But the truth of the 508 00:25:58,160 --> 00:26:02,960 Speaker 12: game is still within high scalers and AI startups. I 509 00:26:02,960 --> 00:26:05,040 Speaker 12: think that's where the real action is for now, and 510 00:26:05,080 --> 00:26:07,840 Speaker 12: it's a much much much larger number, and I think 511 00:26:07,840 --> 00:26:11,040 Speaker 12: the interesting aspects there are one as Jensen noted that 512 00:26:11,320 --> 00:26:14,760 Speaker 12: reasoning AI is so much more compute intensive. He quoted 513 00:26:14,800 --> 00:26:17,000 Speaker 12: one hundred two thousand times more on the one inside 514 00:26:17,320 --> 00:26:18,960 Speaker 12: and then on the other inside though it's also much 515 00:26:19,000 --> 00:26:22,600 Speaker 12: better so it reduces hallucinations. And he also mentioned that 516 00:26:22,640 --> 00:26:25,760 Speaker 12: the return and invested capitally received from buying these ships 517 00:26:25,800 --> 00:26:26,360 Speaker 12: is phenomenal. 518 00:26:26,440 --> 00:26:26,520 Speaker 8: Right. 519 00:26:26,600 --> 00:26:28,760 Speaker 12: He mentioned if you invest three million today, you can 520 00:26:28,800 --> 00:26:31,600 Speaker 12: make thirty millions in token revenues in short order. So 521 00:26:31,640 --> 00:26:33,760 Speaker 12: I think that's where the real action is as of today, 522 00:26:33,880 --> 00:26:34,240 Speaker 12: and is. 523 00:26:34,160 --> 00:26:36,560 Speaker 2: That why the real action is talking about where Rubin 524 00:26:36,600 --> 00:26:39,320 Speaker 2: takes us the cadence of innovation over at in video. 525 00:26:40,520 --> 00:26:43,480 Speaker 12: I think so. I think Ruben will again that the 526 00:26:43,520 --> 00:26:46,920 Speaker 12: most important thing that Nvidia is doing is they're increasing 527 00:26:46,960 --> 00:26:50,120 Speaker 12: the performance per what and they noted that it costs 528 00:26:50,119 --> 00:26:53,480 Speaker 12: about fifty billion dollars for each one giga what data center. 529 00:26:53,680 --> 00:26:57,080 Speaker 12: Ruben will again improve that performance per WHAT, which means 530 00:26:57,080 --> 00:27:00,560 Speaker 12: that Nvidia's competitive situation improves on the one inside, but 531 00:27:00,600 --> 00:27:02,280 Speaker 12: also on the other hand side, you can do more 532 00:27:02,280 --> 00:27:04,880 Speaker 12: computer you can build better models with Ruben, which means 533 00:27:04,920 --> 00:27:07,639 Speaker 12: it's a self fulfilling prophecy a little bit because whatever 534 00:27:07,720 --> 00:27:11,320 Speaker 12: comes out of these models again have higher IQ and 535 00:27:11,320 --> 00:27:13,320 Speaker 12: effectively bigger and better apps. 536 00:27:13,960 --> 00:27:17,280 Speaker 2: You're not worried in any way about Amazon's trainium, about 537 00:27:17,359 --> 00:27:21,480 Speaker 2: Google's TPU, the fact that the customers are innovating themselves. 538 00:27:22,440 --> 00:27:24,560 Speaker 12: Yeah, no, I think it's our job to worry sometimes. 539 00:27:24,560 --> 00:27:26,520 Speaker 12: But we've looked at this in detail out and I 540 00:27:26,560 --> 00:27:29,399 Speaker 12: think the idea here is again to say, well, so 541 00:27:29,480 --> 00:27:32,360 Speaker 12: here's in Vidia. They're building a giant system of a company. 542 00:27:32,400 --> 00:27:36,240 Speaker 12: They have both networking CPUs, GPUs, hundreds of difference of 543 00:27:36,280 --> 00:27:40,040 Speaker 12: suppliers and they put the software on top. They say, 544 00:27:40,040 --> 00:27:42,080 Speaker 12: and we believe in this that they are the best 545 00:27:42,119 --> 00:27:45,920 Speaker 12: performance for one supplier in the industry bar nobody else. 546 00:27:46,440 --> 00:27:49,240 Speaker 12: And as long as that it's true, something like Trainium 547 00:27:49,359 --> 00:27:51,840 Speaker 12: cannot compete simply because they don't have the scale, they 548 00:27:51,840 --> 00:27:54,280 Speaker 12: don't have the system, and they don't have the software. 549 00:27:54,600 --> 00:27:57,520 Speaker 12: So in Vidia to us remains the winner in the sense. 550 00:27:58,119 --> 00:28:01,680 Speaker 2: And that's what's interesting about and what I'm trying to say, Look, 551 00:28:01,680 --> 00:28:03,760 Speaker 2: we are more than just hardware in many ways, we 552 00:28:03,840 --> 00:28:06,000 Speaker 2: are the one stop shop, and we're leaning more into that. 553 00:28:06,040 --> 00:28:08,720 Speaker 2: Did it lean more into the future opportunities enough for 554 00:28:08,800 --> 00:28:11,919 Speaker 2: you the robotic side of things, cause automotive remains a 555 00:28:11,920 --> 00:28:13,600 Speaker 2: bit of an overhang when it comes to China. But 556 00:28:13,960 --> 00:28:18,280 Speaker 2: thinking also about quantum and real future here, I. 557 00:28:18,240 --> 00:28:21,000 Speaker 12: Think in Vidia is probably the company in the world 558 00:28:21,000 --> 00:28:24,320 Speaker 12: that runs the fastest that I've ever seen. I mean, 559 00:28:24,359 --> 00:28:26,080 Speaker 12: what they're trying to do is they're trying to align 560 00:28:26,160 --> 00:28:28,679 Speaker 12: hundreds of difference of suppliers. They try to design a 561 00:28:28,720 --> 00:28:31,560 Speaker 12: GPU on an annual cadence, and they're trying to update 562 00:28:31,600 --> 00:28:33,840 Speaker 12: their systems on an annual to eighteen months cadence, which 563 00:28:34,119 --> 00:28:37,159 Speaker 12: is unheard of. At the same time they're focusing on 564 00:28:37,240 --> 00:28:40,240 Speaker 12: quantum robotics, et cetera, et cetera. So I think in 565 00:28:40,320 --> 00:28:43,760 Speaker 12: Nvidia is running as fast as anything else I have 566 00:28:43,840 --> 00:28:46,160 Speaker 12: ever seen. And if I may mention that too, I 567 00:28:46,200 --> 00:28:49,080 Speaker 12: think quantum is probably going to slot into the Nvidia 568 00:28:49,120 --> 00:28:52,520 Speaker 12: ecosystem by saying they have CPUs, they have GPUs, and 569 00:28:52,560 --> 00:28:54,720 Speaker 12: at some point they'll have quantum somewhere in there too, 570 00:28:54,720 --> 00:28:56,720 Speaker 12: And you can just switch between those various sort of 571 00:28:57,040 --> 00:28:57,920 Speaker 12: compute layers. 572 00:28:58,200 --> 00:29:01,040 Speaker 2: And that was what was interesting with IBM and AD's partnership, 573 00:29:01,080 --> 00:29:04,480 Speaker 2: the idea that almost you reference how these reasoning models work. 574 00:29:04,480 --> 00:29:06,040 Speaker 3: While I'm thinking of GPT five. 575 00:29:05,880 --> 00:29:08,120 Speaker 2: How it just pushes you towards the best possible model 576 00:29:08,120 --> 00:29:10,160 Speaker 2: for your question. We're going to have the best possible 577 00:29:10,200 --> 00:29:13,200 Speaker 2: computing standard for your general task. 578 00:29:14,440 --> 00:29:16,920 Speaker 12: Yes, I fully agree with that, the best possible as 579 00:29:16,920 --> 00:29:20,200 Speaker 12: well as the cheapest and the fastest. And again I 580 00:29:20,200 --> 00:29:22,680 Speaker 12: mean as we think through the next few years, the 581 00:29:22,760 --> 00:29:25,040 Speaker 12: question is like how much more compute can a video sell? 582 00:29:25,440 --> 00:29:27,360 Speaker 12: And as truthfully continues to be a question of the 583 00:29:27,360 --> 00:29:30,000 Speaker 12: scaling laws, right, and we've seen with GROCK four that 584 00:29:30,160 --> 00:29:33,880 Speaker 12: compute still provides better and bigger models. We're going to 585 00:29:33,880 --> 00:29:36,400 Speaker 12: have black Wood clusters scaling in the next twelve months 586 00:29:36,480 --> 00:29:39,200 Speaker 12: or six to twelve months, and hopefully we'll be seeing 587 00:29:39,240 --> 00:29:41,680 Speaker 12: good results coming out of whatever comes after GROG four 588 00:29:41,680 --> 00:29:44,920 Speaker 12: and chat GPT five, and that's ultimately truly going to 589 00:29:45,000 --> 00:29:46,920 Speaker 12: drive the bus fund video in terms of demand and 590 00:29:46,920 --> 00:29:48,200 Speaker 12: in terms of the revenue outlook. 591 00:29:48,360 --> 00:29:50,800 Speaker 2: So you think we should think more about Colossus, We 592 00:29:50,800 --> 00:29:53,240 Speaker 2: should think more about what Meta is doing in terms 593 00:29:53,240 --> 00:29:55,760 Speaker 2: of well it's scaling in Louisiana. 594 00:29:56,200 --> 00:29:58,280 Speaker 3: Should we figure China out entirely. 595 00:29:58,080 --> 00:30:01,440 Speaker 2: Considering the government wants to push its own homegrown domestic 596 00:30:01,480 --> 00:30:02,520 Speaker 2: talent anyhow. 597 00:30:03,120 --> 00:30:06,280 Speaker 12: Yes, I think we should, and I would actually argue 598 00:30:06,320 --> 00:30:10,239 Speaker 12: what China is doing seems to be relatively rational. What 599 00:30:10,320 --> 00:30:12,920 Speaker 12: China is basically saying is that you're trying to sell 600 00:30:13,080 --> 00:30:15,440 Speaker 12: the chip that's based off of an architecture that's three 601 00:30:15,440 --> 00:30:19,160 Speaker 12: and a half years old. And secondly, we've also grown 602 00:30:19,200 --> 00:30:22,840 Speaker 12: a local AI architecture or a stack that has caught 603 00:30:22,920 --> 00:30:25,920 Speaker 12: up somewhat to that old chip. So unless you start 604 00:30:26,000 --> 00:30:29,480 Speaker 12: selling us a newer derivative of Blackwell, we don't really 605 00:30:29,560 --> 00:30:31,720 Speaker 12: maybe need you as much anymore as we needed you 606 00:30:31,760 --> 00:30:34,840 Speaker 12: three years ago, so that all seems to make sense. 607 00:30:34,880 --> 00:30:36,959 Speaker 12: And I don't know whether the licensing will work out 608 00:30:37,080 --> 00:30:40,040 Speaker 12: or not, but the interesting piece is if it does, 609 00:30:40,600 --> 00:30:43,840 Speaker 12: that's a big, big upside of time fun video because 610 00:30:44,280 --> 00:30:47,200 Speaker 12: Jens noted is a fifty billion dollar market and if 611 00:30:47,240 --> 00:30:49,800 Speaker 12: they're allowed to ship a derivative of the newest chip 612 00:30:49,880 --> 00:30:52,239 Speaker 12: their market share that should be enormous because there is 613 00:30:52,320 --> 00:30:54,880 Speaker 12: nothing in China that even can remotely compete with what 614 00:30:54,960 --> 00:30:55,800 Speaker 12: Nvidia has. 615 00:30:56,200 --> 00:31:00,560 Speaker 2: Fifty four billion dollar forecast for physical thirty culture and 616 00:31:00,600 --> 00:31:01,720 Speaker 2: not even fracturing in China. 617 00:31:01,720 --> 00:31:04,320 Speaker 3: And Daniel pilling A sounds capital. It's great to have 618 00:31:04,360 --> 00:31:04,720 Speaker 3: you on. 619 00:31:09,960 --> 00:31:12,360 Speaker 2: All about Nvidio, But there are several of China's big 620 00:31:12,400 --> 00:31:15,560 Speaker 2: tech names also reporting earnings this week, including Ali Baba. Now, 621 00:31:15,600 --> 00:31:17,920 Speaker 2: the company has been stepping up it's AI efforts since 622 00:31:18,000 --> 00:31:20,320 Speaker 2: Chinese firm Deep Seat released its own R one model. 623 00:31:20,360 --> 00:31:23,479 Speaker 2: Remember Blomberg's Isabelle Lee joins us. Now this stock has 624 00:31:23,480 --> 00:31:25,560 Speaker 2: been on a tear this year at some forty two percent. 625 00:31:26,120 --> 00:31:28,040 Speaker 2: What more can it give in terms of where it 626 00:31:28,120 --> 00:31:29,440 Speaker 2: is on AI and cloud? 627 00:31:29,560 --> 00:31:32,080 Speaker 13: I think it's like everything in tech, investors just want 628 00:31:32,120 --> 00:31:33,640 Speaker 13: more and more and more, and even if you beat, 629 00:31:33,800 --> 00:31:36,040 Speaker 13: it's still not enough. So for Alibaba, there's later to 630 00:31:36,040 --> 00:31:38,440 Speaker 13: report on Friday, and they're likely to really highlight their 631 00:31:38,480 --> 00:31:41,000 Speaker 13: AI strategy. But if you look at their peers, ten 632 00:31:41,080 --> 00:31:43,680 Speaker 13: Cent and by Do, they're likely to kind of disappoint 633 00:31:43,760 --> 00:31:46,360 Speaker 13: because it's really going to struggle or it may struggle 634 00:31:46,400 --> 00:31:48,840 Speaker 13: to show how it's big investments in AI will be 635 00:31:48,920 --> 00:31:51,680 Speaker 13: paying off. I mean, these companies ever since the chat 636 00:31:51,760 --> 00:31:54,240 Speaker 13: gip they came into the picture, they've invested billions of 637 00:31:54,280 --> 00:31:57,840 Speaker 13: dollars in AI, They've rolled out their llms, they've infused 638 00:31:57,880 --> 00:32:00,360 Speaker 13: therm flag your products with that, but making money has 639 00:32:00,400 --> 00:32:04,440 Speaker 13: been hard. Why because analysts are saying that Chinese users, 640 00:32:04,480 --> 00:32:08,600 Speaker 13: unlike Western counterparts, are reluctant to spend on premium paid 641 00:32:08,600 --> 00:32:09,640 Speaker 13: subscription models. 642 00:32:09,760 --> 00:32:12,000 Speaker 2: What's also interesting is just everyone's trying to get on 643 00:32:12,200 --> 00:32:14,040 Speaker 2: every other game. They will want to be like the 644 00:32:14,120 --> 00:32:17,000 Speaker 2: megaaps to a certain extent, and you have a super 645 00:32:17,040 --> 00:32:19,680 Speaker 2: ropp with may Twon for example, that the phase competition 646 00:32:19,720 --> 00:32:21,200 Speaker 2: in food delivery, so. 647 00:32:21,240 --> 00:32:23,400 Speaker 13: That too, and then I feel like if you look at, 648 00:32:23,400 --> 00:32:25,720 Speaker 13: for instance, the ten cents earning this month, they showed 649 00:32:25,760 --> 00:32:29,440 Speaker 13: revenue from that business including selling a services going more slowly. 650 00:32:29,720 --> 00:32:31,520 Speaker 13: By Do also when it comes to the cloud business 651 00:32:31,560 --> 00:32:34,160 Speaker 13: didn't expand fast enough, so I feel like, how will 652 00:32:34,200 --> 00:32:36,239 Speaker 13: you improve to your point? And if you look at 653 00:32:36,240 --> 00:32:38,840 Speaker 13: the contribution of AI, it's really going to dampen the 654 00:32:38,840 --> 00:32:41,320 Speaker 13: gross outlook of Alibaba, I mean, and it comes at 655 00:32:41,360 --> 00:32:43,280 Speaker 13: a time where their e commerce business is kind of 656 00:32:43,280 --> 00:32:46,560 Speaker 13: struggling compared to the arrivals. Consumption in China still remains 657 00:32:46,560 --> 00:32:49,400 Speaker 13: weak even as the economy slightly improves. So really lots 658 00:32:49,440 --> 00:32:52,920 Speaker 13: of moving parts for Alibaba. But in relation to Nvidia, yesterday, 659 00:32:52,920 --> 00:32:56,000 Speaker 13: we do have Bloomberg Intelligence saying that despite uncertainty over 660 00:32:56,000 --> 00:32:59,760 Speaker 13: Invidia's ability to provide H twenty chips, all these three Alibaba, 661 00:32:59,760 --> 00:33:02,480 Speaker 13: ten and by Doo are still well positioned, at least 662 00:33:02,480 --> 00:33:03,280 Speaker 13: in the medium term. 663 00:33:03,760 --> 00:33:05,920 Speaker 3: In begs as Vali, we love our breaking it down, 664 00:33:05,960 --> 00:33:06,360 Speaker 3: thank you. 665 00:33:06,680 --> 00:33:09,280 Speaker 2: Let's stick with Chinese firms, but shift gears to the 666 00:33:09,320 --> 00:33:12,760 Speaker 2: automotive industry. Hong Kong shares of electric vehicle maker byd 667 00:33:13,160 --> 00:33:17,240 Speaker 2: fell yesterday concerns about possible decreases in exports after Mexico 668 00:33:17,240 --> 00:33:18,720 Speaker 2: announced plans to tariff China. 669 00:33:19,000 --> 00:33:21,440 Speaker 3: For Let's bring in. Bloomberg's Craig Trudell so. 670 00:33:21,440 --> 00:33:24,240 Speaker 2: BYD on the day had had some issues around maybe 671 00:33:24,280 --> 00:33:27,800 Speaker 2: accessing Mexico, but boy, their sales in Europe going well, 672 00:33:27,840 --> 00:33:31,080 Speaker 2: what were they were up threefold while Tesla actually saw 673 00:33:31,120 --> 00:33:32,400 Speaker 2: sales drop forty percent. 674 00:33:33,800 --> 00:33:37,920 Speaker 14: Yeah, we've seen BYD really put a dent in the 675 00:33:38,000 --> 00:33:43,240 Speaker 14: European car market and take advantage of the softness for Tesla, 676 00:33:43,320 --> 00:33:46,840 Speaker 14: maybe be a sort of factor in that softness where 677 00:33:47,520 --> 00:33:51,080 Speaker 14: you know, it's not been uncommon now for BYD to 678 00:33:51,120 --> 00:33:53,840 Speaker 14: actually outseell Tesla in this region, which would have been 679 00:33:53,920 --> 00:33:57,360 Speaker 14: unthinkable even just a year ago. This was a company 680 00:33:57,400 --> 00:34:01,560 Speaker 14: that was really sort of taking off in its home market, 681 00:34:01,800 --> 00:34:04,720 Speaker 14: and yet overseas sales it's still had a long way 682 00:34:04,760 --> 00:34:09,440 Speaker 14: to go. So we've seen some progress on the export business, 683 00:34:09,480 --> 00:34:11,440 Speaker 14: I think we have seen maybe a little bit of 684 00:34:11,600 --> 00:34:16,120 Speaker 14: a slowdown and some softness at home, And that's been 685 00:34:16,120 --> 00:34:18,279 Speaker 14: the real story this year where you know, for all 686 00:34:18,320 --> 00:34:21,320 Speaker 14: the sort of continued growth that we've seen out of BYD, 687 00:34:21,680 --> 00:34:24,120 Speaker 14: there's some real questions starting to emerge about can they 688 00:34:24,200 --> 00:34:27,800 Speaker 14: hit the full year sales figures that they were expecting 689 00:34:27,840 --> 00:34:28,680 Speaker 14: for twenty twenty five. 690 00:34:28,760 --> 00:34:31,000 Speaker 2: Yeah, because what they've already sold two point one five 691 00:34:31,040 --> 00:34:33,759 Speaker 2: million in the first half of the year, but that's 692 00:34:33,800 --> 00:34:36,240 Speaker 2: only a less than forty percent of what they're aiming 693 00:34:36,320 --> 00:34:38,880 Speaker 2: to do for the full year, so having to discount 694 00:34:39,120 --> 00:34:39,800 Speaker 2: in some ways. 695 00:34:41,080 --> 00:34:44,560 Speaker 14: Yeah, and I think it's really an ironic story in China, 696 00:34:44,640 --> 00:34:47,920 Speaker 14: right where you've seen so much state support for this industry, 697 00:34:48,040 --> 00:34:51,879 Speaker 14: so much attempts to sort of foster this really competitive 698 00:34:52,400 --> 00:34:57,520 Speaker 14: auto industry and particularly ev industry, and yet maybe we've 699 00:34:57,560 --> 00:35:00,480 Speaker 14: seen sort of some overdoing of it. Right we have 700 00:35:01,120 --> 00:35:05,520 Speaker 14: Chinese companies with by D maybe front and center, discounting 701 00:35:05,760 --> 00:35:10,560 Speaker 14: their lineup in really aggressive fashion. Concerns about suppliers not 702 00:35:10,600 --> 00:35:15,120 Speaker 14: getting paid in a timely manner, and you know, maybe 703 00:35:15,120 --> 00:35:17,560 Speaker 14: some concerns too about you know, just how long this 704 00:35:17,600 --> 00:35:21,640 Speaker 14: can continue if if we just see manufacturers, you know, 705 00:35:21,960 --> 00:35:26,040 Speaker 14: aggressively discounting, at what point is enough enough? And do 706 00:35:26,080 --> 00:35:29,560 Speaker 14: we see some companies go out of business? So you've 707 00:35:29,600 --> 00:35:31,879 Speaker 14: seen this kind of campaign in China and the part 708 00:35:31,920 --> 00:35:35,200 Speaker 14: of the government to do away with the you know 709 00:35:35,239 --> 00:35:37,960 Speaker 14: what people refer to as a price for and yet 710 00:35:38,000 --> 00:35:40,960 Speaker 14: some real reluctance on the companies to sort of sort 711 00:35:41,000 --> 00:35:41,800 Speaker 14: of take heed. 712 00:35:41,600 --> 00:35:51,000 Speaker 2: There most creature dell On BYD, we thank you. 713 00:35:51,200 --> 00:35:53,200 Speaker 3: We're also keeping an eye on Dell today. 714 00:35:53,280 --> 00:35:55,239 Speaker 2: The stock is climbing ahead of earnings release of its 715 00:35:55,280 --> 00:35:56,160 Speaker 2: own after the close. 716 00:35:56,480 --> 00:35:58,560 Speaker 3: Mesters looking for signs that the company. 717 00:35:58,239 --> 00:36:01,399 Speaker 2: Will boost its forecast for AI server shipments has bring 718 00:36:01,400 --> 00:36:04,719 Speaker 2: in blooming intelligence analysts reugin Ho regin is interesting that 719 00:36:04,920 --> 00:36:07,279 Speaker 2: it's actually higher on the day when in video is down. 720 00:36:07,360 --> 00:36:09,719 Speaker 2: Often they move in sympathy with one another. But we're 721 00:36:09,719 --> 00:36:10,880 Speaker 2: expecting big things. 722 00:36:11,640 --> 00:36:13,680 Speaker 15: Yeah, so there's a good thing. There are a couple 723 00:36:13,680 --> 00:36:16,520 Speaker 15: of things that's going on with Dell this morning. A 724 00:36:16,520 --> 00:36:19,439 Speaker 15: relative not only for AI but also for PCs, right, 725 00:36:20,480 --> 00:36:22,759 Speaker 15: you know, and video was more China related. Dell has 726 00:36:23,239 --> 00:36:27,520 Speaker 15: no China exposure as it relates to AI servers, and 727 00:36:27,560 --> 00:36:30,080 Speaker 15: I do expect them to report seven billion dollars in 728 00:36:30,120 --> 00:36:32,800 Speaker 15: AI server revenues. They guide you to about fifteen billion. 729 00:36:33,120 --> 00:36:37,240 Speaker 15: Street some of the bullcase on the street has guided 730 00:36:37,239 --> 00:36:40,080 Speaker 15: potentially guiding up to twenty billion. So that's the bogie 731 00:36:40,080 --> 00:36:41,120 Speaker 15: that the street is looking for. 732 00:36:42,120 --> 00:36:45,040 Speaker 2: HP is an interesting read if you're thinking about PCs 733 00:36:45,120 --> 00:36:48,520 Speaker 2: and HP had really resilient PC strength. It's about the 734 00:36:48,520 --> 00:36:52,400 Speaker 2: AIPC apparently, and actually the commercial adoption of that seems 735 00:36:52,440 --> 00:36:54,719 Speaker 2: to be holding things up as well as Microsoft's upgrade 736 00:36:54,840 --> 00:36:58,080 Speaker 2: reigin is that how we read across from perhaps HP 737 00:36:58,200 --> 00:36:58,520 Speaker 2: to Dell. 738 00:37:00,160 --> 00:37:04,799 Speaker 15: That's exactly it, so that that's the second tailwind for Dell. 739 00:37:06,360 --> 00:37:10,160 Speaker 15: Let's keep in mind that Windows eleven upgrade cycle is 740 00:37:10,800 --> 00:37:14,560 Speaker 15: actually going strong, and what we learned from the HP earnings, 741 00:37:14,560 --> 00:37:17,640 Speaker 15: callers had only fifty percent of actually upgraded to Windows eleven, 742 00:37:17,680 --> 00:37:21,320 Speaker 15: So that means we have an elongated Windows eleven cycle 743 00:37:21,480 --> 00:37:25,200 Speaker 15: that's going to benefit Dell. How eighty percent of their 744 00:37:25,239 --> 00:37:29,640 Speaker 15: revenues come from commercial PCs, and those are the customers 745 00:37:29,680 --> 00:37:33,560 Speaker 15: who need to upgrade, and Dell should be a beneficiary 746 00:37:33,600 --> 00:37:36,720 Speaker 15: from that upgrade cycle. And the PC business actually actually 747 00:37:36,800 --> 00:37:39,920 Speaker 15: has been more resilient. So HP results essentially tell us 748 00:37:39,960 --> 00:37:42,160 Speaker 15: that downside risk on the PC might be limited, at 749 00:37:42,239 --> 00:37:43,080 Speaker 15: least for the near term. 750 00:37:43,200 --> 00:37:45,640 Speaker 2: The thing with Dell is everyone's very bullish on it. 751 00:37:45,640 --> 00:37:49,200 Speaker 2: We've got twenty two buys across the analyst zero cells, 752 00:37:49,280 --> 00:37:51,880 Speaker 2: and actually the price is pretty close to overall consensus 753 00:37:51,880 --> 00:37:54,880 Speaker 2: price targets. How much is already baked in to a 754 00:37:55,000 --> 00:37:57,120 Speaker 2: good set of numbers. Yeah, so. 755 00:37:58,920 --> 00:38:02,200 Speaker 15: From well, let me tell you how much is baked in? 756 00:38:02,560 --> 00:38:07,680 Speaker 15: I think from a valuation perspective, fourteen times forward earnings. 757 00:38:07,719 --> 00:38:11,960 Speaker 15: If you look at Hpe, which is another enterprise IT company, 758 00:38:12,360 --> 00:38:14,239 Speaker 15: they're own trading around eleven times. So there was a 759 00:38:14,239 --> 00:38:18,360 Speaker 15: lot of good news baked into the shares from evaluation standpoint, 760 00:38:18,480 --> 00:38:23,160 Speaker 15: so sales upside is expected. Now I will want to 761 00:38:23,200 --> 00:38:26,920 Speaker 15: cautions some people heading into the print. There are a 762 00:38:26,920 --> 00:38:30,840 Speaker 15: couple of red flags. Other enterprise IT companies are not 763 00:38:31,000 --> 00:38:35,560 Speaker 15: benefiting from an uptick and spending net APP report the 764 00:38:35,640 --> 00:38:38,680 Speaker 15: last night, New Tanics, Cisco a couple of weeks back, 765 00:38:39,000 --> 00:38:44,040 Speaker 15: they all cautioned US federal spending as being weaker than anticipated. 766 00:38:44,280 --> 00:38:46,560 Speaker 15: Keep in mind that Dell has roughly about three percent 767 00:38:46,600 --> 00:38:49,040 Speaker 15: sales exposure to the US FED. So if there is 768 00:38:49,280 --> 00:38:54,000 Speaker 15: any pocket of weakness, that could be one and a 769 00:38:54,080 --> 00:38:55,919 Speaker 15: yellow flag that I want to raise to investors heading 770 00:38:55,960 --> 00:38:56,439 Speaker 15: into the print. 771 00:38:56,640 --> 00:38:59,960 Speaker 2: So, Sarah, thank you, Lujin Hove, Senior analyst, Rubag Intelligence, 772 00:39:00,239 --> 00:39:02,600 Speaker 2: so appreciate having you on. Let's get back to the 773 00:39:02,640 --> 00:39:04,279 Speaker 2: key story of the day. Though it is in video 774 00:39:04,360 --> 00:39:06,840 Speaker 2: the world's most valuable company, but there are other companies 775 00:39:06,880 --> 00:39:09,279 Speaker 2: around it that tell us the hardware versus software story. 776 00:39:09,360 --> 00:39:12,040 Speaker 2: Let's bring in Bloomberg Intelligence Senior analyst man Leep saying, Look, 777 00:39:12,040 --> 00:39:15,160 Speaker 2: when we're anticipating Dell doing very well on AI servers, 778 00:39:15,440 --> 00:39:17,719 Speaker 2: this just speaks to the strength of AI adoption that 779 00:39:17,880 --> 00:39:19,800 Speaker 2: some are perhaps sleeping on a bit today. 780 00:39:19,920 --> 00:39:21,240 Speaker 3: When it comes to in video's numbers. 781 00:39:21,480 --> 00:39:23,600 Speaker 16: Yeah, and look, I mean when you look at the 782 00:39:23,680 --> 00:39:28,120 Speaker 16: overall ecosystem. You know, this quarter we saw Microsoft Azure 783 00:39:28,440 --> 00:39:32,640 Speaker 16: growth accelerating to thirty nine percent. Now Snowflake and Mango 784 00:39:32,719 --> 00:39:35,680 Speaker 16: deb outperforming. Just when you connect the dots, you can 785 00:39:35,719 --> 00:39:39,879 Speaker 16: see if Microsoft's AI consumption is going up and it's 786 00:39:39,960 --> 00:39:43,480 Speaker 16: reflecting in their cloud numbers, who is the user of 787 00:39:43,520 --> 00:39:48,120 Speaker 16: that cloud consumption. It's your Snowflake. And so from that perspective, 788 00:39:48,200 --> 00:39:52,800 Speaker 16: you know it's all intertwined. Dell doing well, Microsoft deploying 789 00:39:52,800 --> 00:39:57,160 Speaker 16: that on their clouds, Snowflake actually seeing an increment in 790 00:39:57,200 --> 00:40:00,480 Speaker 16: their product growth because companies are deploying more AI agents. 791 00:40:00,560 --> 00:40:04,840 Speaker 16: So you can see how the ROI question is getting answered. 792 00:40:04,880 --> 00:40:06,719 Speaker 16: When it comes to that aispan, It's like the. 793 00:40:06,640 --> 00:40:08,400 Speaker 2: Whole food chain, isn't it. You've got the picks and 794 00:40:08,400 --> 00:40:10,360 Speaker 2: shovels of the end video and then got the user 795 00:40:10,400 --> 00:40:12,440 Speaker 2: of that. That's Microsoft that's going into then the use 796 00:40:12,480 --> 00:40:14,880 Speaker 2: case of Snowflake talk us through the Snowflake numbers. Because 797 00:40:15,200 --> 00:40:17,960 Speaker 2: the shows are more than twenty percent. It was clearly 798 00:40:18,120 --> 00:40:21,640 Speaker 2: some anxiety built into these numbers that we were going 799 00:40:21,640 --> 00:40:23,200 Speaker 2: to see competitors take a bit of an edge on 800 00:40:23,239 --> 00:40:23,920 Speaker 2: a GenTech. 801 00:40:24,040 --> 00:40:28,120 Speaker 16: I mean, look, traditionally database businesses are very sticky. It's 802 00:40:28,200 --> 00:40:30,600 Speaker 16: just right now we are in an environment for everyone 803 00:40:30,640 --> 00:40:34,760 Speaker 16: is trying to figure out what gets disintermediated by llms 804 00:40:34,760 --> 00:40:37,920 Speaker 16: and AI agents, and all the software companies were getting 805 00:40:37,960 --> 00:40:42,080 Speaker 16: beaten up because everyone thought llms can do everything that 806 00:40:42,120 --> 00:40:45,240 Speaker 16: these software products do. Well, guess what if you're trying 807 00:40:45,280 --> 00:40:48,960 Speaker 16: to deploy an AI agent, llms don't have the data 808 00:40:49,000 --> 00:40:52,040 Speaker 16: that you want to customize your chat pot on. Snowflake 809 00:40:52,120 --> 00:40:54,600 Speaker 16: does or you know, data breaks does, and that's where 810 00:40:54,719 --> 00:40:58,239 Speaker 16: Mango dB does, and all these database companies are what 811 00:40:58,360 --> 00:41:02,640 Speaker 16: you need to custom your chat pot experience to your 812 00:41:02,719 --> 00:41:05,120 Speaker 16: particular use case. And I think that's what you are 813 00:41:05,120 --> 00:41:08,600 Speaker 16: seeing in the numbers. You're seeing them sequentially outperformed. 814 00:41:08,640 --> 00:41:10,800 Speaker 3: I mean, can we look at Manga DV for a second. 815 00:41:11,360 --> 00:41:15,040 Speaker 2: Two days you pointed this out, it is almost fifty percent. 816 00:41:15,160 --> 00:41:17,200 Speaker 2: It is the best two day run for the company 817 00:41:17,239 --> 00:41:19,920 Speaker 2: on record. So they really managed to push back also 818 00:41:19,920 --> 00:41:23,240 Speaker 2: on that m I narrative that perhaps people aren't getting 819 00:41:23,239 --> 00:41:25,160 Speaker 2: any bang for the buck when it comes to using 820 00:41:25,239 --> 00:41:26,319 Speaker 2: AI pilots as well. 821 00:41:26,360 --> 00:41:29,080 Speaker 16: When it comes to valuation multiples, what we have seen 822 00:41:29,160 --> 00:41:33,040 Speaker 16: traditionally is companies that grow at thirty percent will trade 823 00:41:33,080 --> 00:41:35,600 Speaker 16: at twenty times sales. But once that growth comes down 824 00:41:35,640 --> 00:41:39,120 Speaker 16: below twenty percent, then multiple goes from twenty times to 825 00:41:39,200 --> 00:41:39,800 Speaker 16: five times. 826 00:41:39,840 --> 00:41:40,080 Speaker 3: Wow. 827 00:41:40,120 --> 00:41:43,440 Speaker 16: So the multiple compression is always huge and software and 828 00:41:43,480 --> 00:41:46,440 Speaker 16: that's why the top line growth is so important, I 829 00:41:46,440 --> 00:41:50,200 Speaker 16: mean snowflake. Going back again to thirty percent plus growth, 830 00:41:50,360 --> 00:41:52,560 Speaker 16: you will see a multiple expansion. It's not as if 831 00:41:52,600 --> 00:41:56,239 Speaker 16: the story changed completely, but just the multiple that investors 832 00:41:56,239 --> 00:41:59,319 Speaker 16: put on these companies growing over thirty percent versus under 833 00:41:59,360 --> 00:42:00,680 Speaker 16: twenty percent, it's huge. 834 00:42:00,760 --> 00:42:03,080 Speaker 2: But let's go to say, then a multiple on Nvidia, 835 00:42:03,680 --> 00:42:06,239 Speaker 2: it's not that high. If you're thinking about a Blend 836 00:42:06,239 --> 00:42:09,560 Speaker 2: and Ford version of the price to earnings estimated price 837 00:42:09,560 --> 00:42:11,360 Speaker 2: to earnings, it's one of like thirty three times. 838 00:42:11,520 --> 00:42:11,800 Speaker 4: Yeah. 839 00:42:11,800 --> 00:42:15,480 Speaker 16: And look with Nvidia, the biggest concern is it's not 840 00:42:15,560 --> 00:42:18,200 Speaker 16: a recurring business. Although they are proving that. You know, 841 00:42:18,239 --> 00:42:20,719 Speaker 16: they can keep releasing a new architecture every year and 842 00:42:20,840 --> 00:42:23,680 Speaker 16: it becomes a recurring refair cycle when it comes to 843 00:42:23,760 --> 00:42:26,520 Speaker 16: their data center chips. But that's the biggest I would 844 00:42:26,560 --> 00:42:29,960 Speaker 16: say risk is Right now, they are growing over fifty percent. 845 00:42:30,040 --> 00:42:33,360 Speaker 16: They said Hyperscalers will increase their CAPEX by fifty percent 846 00:42:33,360 --> 00:42:36,919 Speaker 16: next year, so that translates into similar growth for next year. 847 00:42:37,239 --> 00:42:40,080 Speaker 16: But it's very hard to sustain that. I mean, do 848 00:42:40,160 --> 00:42:43,920 Speaker 16: you think capex will keep growing fifty percent in perpetually? No, 849 00:42:44,440 --> 00:42:47,959 Speaker 16: And if your largest customers are for Hyperscalers, then that's 850 00:42:47,960 --> 00:42:49,920 Speaker 16: a big risk. And that's what you have to model 851 00:42:49,960 --> 00:42:51,600 Speaker 16: for two years from now, three years from now. 852 00:42:51,880 --> 00:42:54,680 Speaker 2: Man Nave saying he's always modeling for us from Bloomberg Intelligence. 853 00:42:54,719 --> 00:42:56,640 Speaker 3: We thank him. That does it to this edition of 854 00:42:56,640 --> 00:42:57,319 Speaker 3: Bloomberg Tech. 855 00:42:57,400 --> 00:42:59,440 Speaker 2: Do not forget to check out our podcast kind it 856 00:42:59,480 --> 00:43:01,760 Speaker 2: on the terminal as well as online on Apple, Spotify, 857 00:43:01,840 --> 00:43:07,239 Speaker 2: and iHeart this is Bloomberg Tech. Mm hmmm mmmmmmm