1 00:00:02,520 --> 00:00:09,920 Speaker 1: Bloomberg Audio Studios, podcasts, radio news from the heart of 2 00:00:09,960 --> 00:00:15,680 Speaker 1: where innovation, money and power collide in Silicon Valley and beyond. 3 00:00:16,120 --> 00:00:21,400 Speaker 1: This is Bloomberg Technology with Caroline Hyde and Ed ludlow. 4 00:00:35,320 --> 00:00:36,200 Speaker 2: A Live from New York. 5 00:00:36,240 --> 00:00:40,280 Speaker 3: I'm Caroline Hyde and I'm Jackie Devalis in Washington. This 6 00:00:40,360 --> 00:00:42,120 Speaker 3: is Bloomberg Technology coming up. 7 00:00:42,159 --> 00:00:46,640 Speaker 4: The FTC is charging ahead with the Biden antitrust probe 8 00:00:46,840 --> 00:00:49,559 Speaker 4: of Microsoft. Will discuss what this means for Trump's new 9 00:00:49,640 --> 00:00:53,000 Speaker 4: FTC chair and his scrutiny of tech giants. Plus Intel 10 00:00:53,040 --> 00:00:55,560 Speaker 4: shares jumping following the news of a new CEO tasking 11 00:00:55,600 --> 00:00:58,720 Speaker 4: Lipbutan with restoring the company's fortunes after a slump in 12 00:00:58,760 --> 00:01:02,240 Speaker 4: earnings and market share, and a conversation with podcaster turned 13 00:01:02,240 --> 00:01:06,240 Speaker 4: investor Harry stebbings On from twenty VC on how one 14 00:01:06,319 --> 00:01:09,200 Speaker 4: hundred and twenty tech founders are joining his project to 15 00:01:09,200 --> 00:01:12,280 Speaker 4: boost European startups. But first to check in on these markets, 16 00:01:12,360 --> 00:01:14,600 Speaker 4: and we were raised yesterday's gains then as that one 17 00:01:14,640 --> 00:01:17,200 Speaker 4: hundred currently off by about a percentage point after yesterday, 18 00:01:17,200 --> 00:01:19,119 Speaker 4: we've got a bit of a reprieve and a push 19 00:01:19,200 --> 00:01:21,759 Speaker 4: higher of more than a percentage point overall, we're once 20 00:01:21,800 --> 00:01:24,959 Speaker 4: again filled with anxiety about US growth and about basically 21 00:01:25,000 --> 00:01:27,880 Speaker 4: still selling some of your key winners, largely within the 22 00:01:27,920 --> 00:01:30,560 Speaker 4: Magnificent seven. Go into some of the individual movers. Look 23 00:01:30,600 --> 00:01:33,440 Speaker 4: the earnings flow still not living up to expectations. I'm 24 00:01:33,440 --> 00:01:36,679 Speaker 4: looking at Adobe down crushed another eleven percent. This is 25 00:01:36,680 --> 00:01:39,399 Speaker 4: that their fiscal first quarter delivered ten percent growth in 26 00:01:39,440 --> 00:01:42,360 Speaker 4: revenue and lived up to expectations. But the current quarter 27 00:01:42,440 --> 00:01:45,560 Speaker 4: that we're operating in, the guidance not good enough. The 28 00:01:45,560 --> 00:01:48,160 Speaker 4: full year guidance remaining the same analysts wanted more. 29 00:01:48,200 --> 00:01:49,520 Speaker 2: Many cut their price targets. 30 00:01:49,760 --> 00:01:52,000 Speaker 4: Intel, though Sauls on the back of a new CEO, 31 00:01:52,080 --> 00:01:54,480 Speaker 4: lip Boutwan, returns he was on the board before, and 32 00:01:54,480 --> 00:01:56,400 Speaker 4: of course he did that turn around at Cadence. Will 33 00:01:56,440 --> 00:01:58,920 Speaker 4: dig into that in a moment. But Microsoft just for 34 00:01:59,000 --> 00:02:01,760 Speaker 4: about two ten percent, but is contributing to the points 35 00:02:01,840 --> 00:02:04,280 Speaker 4: decline on the nasat one hundred. But what does it 36 00:02:04,360 --> 00:02:08,400 Speaker 4: mean that the FTC is looking into that anti competition 37 00:02:08,680 --> 00:02:12,960 Speaker 4: analysis Microsoft? Bloomberg reporter Josh Cisco is with us. You 38 00:02:13,000 --> 00:02:16,680 Speaker 4: look at Microsoft from an FTC and anti competitive concern 39 00:02:17,280 --> 00:02:20,000 Speaker 4: area here, Josh, what is it that the FTC is 40 00:02:20,040 --> 00:02:22,640 Speaker 4: doing because we all thought a new Trump administration would 41 00:02:22,639 --> 00:02:25,359 Speaker 4: mean maybe less struttinly on tech giants. It doesn't seem 42 00:02:25,400 --> 00:02:25,960 Speaker 4: to be the case. 43 00:02:27,080 --> 00:02:30,600 Speaker 5: Well, I mean from the beginning, since before Trump took office, 44 00:02:31,280 --> 00:02:35,280 Speaker 5: both himself and his allies have made it pretty clear 45 00:02:35,320 --> 00:02:37,800 Speaker 5: that tech is going to be a key focus of 46 00:02:37,840 --> 00:02:42,239 Speaker 5: their enforcement and regulatory efforts. It's we're still a little 47 00:02:42,280 --> 00:02:45,240 Speaker 5: sort of uncertain about how exactly that will play out, 48 00:02:45,280 --> 00:02:47,440 Speaker 5: but this is the fact that they are picking up 49 00:02:47,440 --> 00:02:51,079 Speaker 5: this investigation and carrying it forward from the end of 50 00:02:51,080 --> 00:02:54,560 Speaker 5: the Biden administration is a major sign that they're going 51 00:02:54,600 --> 00:02:58,240 Speaker 5: to keep keep an aggressive stance against the tech sector. 52 00:03:00,040 --> 00:03:04,679 Speaker 3: Remind us what other cases this FTC commissioner is inheriting 53 00:03:04,720 --> 00:03:08,280 Speaker 3: from the Biden administration, because this could potentially offer clues 54 00:03:08,680 --> 00:03:12,120 Speaker 3: as to how those might result in as well. 55 00:03:12,240 --> 00:03:14,359 Speaker 5: Yeah, so he's got a bunch of stuff both on 56 00:03:14,440 --> 00:03:18,040 Speaker 5: the competition anti trust and sort of the consumer protection 57 00:03:18,200 --> 00:03:22,080 Speaker 5: side as well that the agency does both enforcement in 58 00:03:22,120 --> 00:03:22,800 Speaker 5: both areas. 59 00:03:23,120 --> 00:03:24,560 Speaker 6: They're going to trial. 60 00:03:24,400 --> 00:03:27,880 Speaker 5: Next month against Meta in a case that was first 61 00:03:27,919 --> 00:03:33,959 Speaker 5: filed actually in the initial Trump administration in December twenty 62 00:03:34,040 --> 00:03:37,320 Speaker 5: twenty to break up META, and that's finally going to 63 00:03:37,400 --> 00:03:40,800 Speaker 5: trial in April that was sort of filed at the 64 00:03:40,880 --> 00:03:44,320 Speaker 5: end of Trump's first term, and then FTC chair under Biden, 65 00:03:44,400 --> 00:03:49,440 Speaker 5: Lena Khan, she carried that forward. They also have a 66 00:03:49,480 --> 00:03:54,600 Speaker 5: lawsuit against Amazon. They could potentially lead to major divestitures 67 00:03:54,800 --> 00:03:58,520 Speaker 5: of Amazon's business. That's not going to trial for about 68 00:03:58,520 --> 00:04:01,960 Speaker 5: a year and a half. There's another loss of your 69 00:04:02,040 --> 00:04:07,840 Speaker 5: challenging Amazon's prime subscription business and how how the FTC 70 00:04:07,880 --> 00:04:10,960 Speaker 5: says it doesn't allow consumers to cancel easily. 71 00:04:11,560 --> 00:04:13,320 Speaker 6: Those are just a few of the big ones. 72 00:04:13,880 --> 00:04:16,920 Speaker 4: Yeah, and interesting that resources is an issue, is why 73 00:04:16,960 --> 00:04:19,880 Speaker 4: they delay the Amazon investigation, Josh, that you've been reporting on. 74 00:04:20,080 --> 00:04:22,240 Speaker 4: But the context here is one where also the DOJ 75 00:04:22,440 --> 00:04:25,480 Speaker 4: seems to still be going after that Google investigation and 76 00:04:25,920 --> 00:04:29,240 Speaker 4: some of the really pretty tough remedies that they're eyeing 77 00:04:29,800 --> 00:04:32,400 Speaker 4: to ensure that Google doesn't seem in some way a 78 00:04:32,480 --> 00:04:36,280 Speaker 4: limitation on competition. From the context of overall this administration, 79 00:04:36,760 --> 00:04:38,680 Speaker 4: it looks as though big tech is not getting off 80 00:04:38,680 --> 00:04:40,560 Speaker 4: the hook here, particularly when it comes to AI. 81 00:04:42,200 --> 00:04:43,239 Speaker 6: Yeah, I think that's true. 82 00:04:43,279 --> 00:04:47,160 Speaker 5: I mean some of the regulatory stuff around AI safety 83 00:04:47,200 --> 00:04:52,360 Speaker 5: and other guardrails that's a little bit sort of up 84 00:04:52,400 --> 00:04:54,880 Speaker 5: in the air, but I think they've made it clear 85 00:04:54,960 --> 00:04:58,720 Speaker 5: so far that they want to see more than two 86 00:04:58,800 --> 00:05:03,200 Speaker 5: or three companies sort of dominate the technology, from Nvidia 87 00:05:03,240 --> 00:05:07,279 Speaker 5: and chips to Microsoft and open Ai and sort of 88 00:05:07,560 --> 00:05:11,240 Speaker 5: more end user applications. It is, I think, at least 89 00:05:11,320 --> 00:05:14,080 Speaker 5: for now, going to be a major focus. 90 00:05:15,320 --> 00:05:18,360 Speaker 3: That's Bloomberg's Josh Cisco, thanks so much for joining us 91 00:05:18,800 --> 00:05:22,360 Speaker 3: for more on Microsoft and the broader tech market. Rischi Jaluria, 92 00:05:22,560 --> 00:05:27,919 Speaker 3: RBC Capital Market Software Equity Research Managing Director joins us. Now, RACI, 93 00:05:28,000 --> 00:05:30,880 Speaker 3: this isn't the first time that Microsoft is dealing with 94 00:05:30,920 --> 00:05:35,479 Speaker 3: a more strict FTC. Is this latest development sparking you 95 00:05:35,640 --> 00:05:37,960 Speaker 3: to kind of change the risk calculus that you were 96 00:05:38,000 --> 00:05:40,480 Speaker 3: embedding in your modeling for the coming year or are 97 00:05:40,480 --> 00:05:41,640 Speaker 3: you mostly brushing it off? 98 00:05:42,680 --> 00:05:44,520 Speaker 7: Yeah, thanks so much for having me. Look, I don't 99 00:05:44,520 --> 00:05:46,240 Speaker 7: want to say I'm brushing it off, but I do 100 00:05:46,279 --> 00:05:50,440 Speaker 7: feel like the potential impacts we've been prepared for this. 101 00:05:50,440 --> 00:05:52,360 Speaker 2: This is something that has been. 102 00:05:52,279 --> 00:05:54,839 Speaker 7: Talked about for a while. And remember I mean Microsoft 103 00:05:54,839 --> 00:05:58,080 Speaker 7: obviously historically under Bill Gates and later Steve Vahmer had 104 00:05:58,080 --> 00:05:59,800 Speaker 7: gotten themselves on a little bit of hot water when 105 00:05:59,800 --> 00:06:02,839 Speaker 7: it came into antitrust, but under Satian Adela, it's definitely 106 00:06:02,839 --> 00:06:07,160 Speaker 7: been a kinder, gentler Microsoft that has very much embraced interoperability, 107 00:06:07,240 --> 00:06:10,600 Speaker 7: embraced coopetition, and I think we see that playing out here. 108 00:06:10,960 --> 00:06:12,960 Speaker 7: You know, they have they obviously were very early to 109 00:06:13,000 --> 00:06:16,120 Speaker 7: invest in open ai, and they've really gone all in 110 00:06:16,640 --> 00:06:19,760 Speaker 7: on gen Ai become an AI first company. But you 111 00:06:19,880 --> 00:06:23,200 Speaker 7: actually notice over the past several years Micro or really 112 00:06:23,240 --> 00:06:27,200 Speaker 7: sorry pass up of quarters. Microsoft has been diversifying, right, 113 00:06:27,240 --> 00:06:30,080 Speaker 7: They've been building relationships with other vendors. At the same time, 114 00:06:30,120 --> 00:06:32,920 Speaker 7: open Ai themselves has been diversifying where they have their 115 00:06:32,920 --> 00:06:36,000 Speaker 7: own relationship with OCI and including with Stargate. They have 116 00:06:36,040 --> 00:06:40,159 Speaker 7: their own relationship with Core. We've per the reports out there, 117 00:06:40,400 --> 00:06:43,360 Speaker 7: and so really feels like Microsoft is doing the right 118 00:06:43,440 --> 00:06:47,279 Speaker 7: things to show that they're not abusing their position, you know, 119 00:06:47,279 --> 00:06:49,560 Speaker 7: in terms of the relationship with open ai, and I 120 00:06:49,560 --> 00:06:52,719 Speaker 7: think it becomes tougher to make an antitrust case against 121 00:06:52,720 --> 00:06:55,839 Speaker 7: Microsoft with the openI relationship when there is that level 122 00:06:55,839 --> 00:06:58,920 Speaker 7: of interoperability and the other competitors have these sort of 123 00:06:58,960 --> 00:07:02,400 Speaker 7: similar relationships. You think about Amazon with Anthropic, you think 124 00:07:02,400 --> 00:07:05,760 Speaker 7: about Oracle with Coher, even Google buying Deep mind a 125 00:07:05,800 --> 00:07:08,480 Speaker 7: long time ago, and that's a foundation for their AI efforts. 126 00:07:08,600 --> 00:07:10,080 Speaker 7: So I think it's going to be a tough argument 127 00:07:10,160 --> 00:07:12,680 Speaker 7: to make against Microsoft on the anti trust given all 128 00:07:12,680 --> 00:07:13,280 Speaker 7: of these moves. 129 00:07:13,920 --> 00:07:16,080 Speaker 4: Rashid, It is interesting, though, when you think back to 130 00:07:16,120 --> 00:07:21,360 Speaker 4: the inauguration of the current president, how many technology leaders, CEOs, 131 00:07:21,440 --> 00:07:24,559 Speaker 4: founders were there and many felt that we were coming 132 00:07:24,600 --> 00:07:28,440 Speaker 4: into a different type of feel for business. But will 133 00:07:28,440 --> 00:07:30,160 Speaker 4: that be the case, or any of these companies ever 134 00:07:30,200 --> 00:07:31,960 Speaker 4: going to be able to do decent M and A again, 135 00:07:32,040 --> 00:07:33,960 Speaker 4: or any of these companies going to be able to 136 00:07:34,040 --> 00:07:37,920 Speaker 4: dislodge the overall time investment that they have to make 137 00:07:38,200 --> 00:07:40,000 Speaker 4: in proving they're not anti competitive. 138 00:07:41,400 --> 00:07:43,600 Speaker 7: Yeah, Look, I think we're probably going to be in 139 00:07:43,640 --> 00:07:46,080 Speaker 7: a better environment for M and A. I think it'll 140 00:07:46,120 --> 00:07:48,800 Speaker 7: be hard to get away with these sort of acquisitions 141 00:07:48,800 --> 00:07:51,360 Speaker 7: that we saw maybe a decade ago or so of 142 00:07:51,400 --> 00:07:54,320 Speaker 7: you know, Facebook buying Instagram and then WhatsApp and you know, 143 00:07:54,440 --> 00:07:57,280 Speaker 7: Microsoft making some of these big blockbuster acquisitions. 144 00:07:58,120 --> 00:07:59,080 Speaker 2: But I still think we're. 145 00:07:58,920 --> 00:08:00,680 Speaker 7: Going to be in a more favorable environment for M 146 00:08:00,680 --> 00:08:02,760 Speaker 7: and A. And I think you know, there's going to 147 00:08:02,800 --> 00:08:05,880 Speaker 7: be scrutiny on there to prove that there's power to 148 00:08:06,040 --> 00:08:08,000 Speaker 7: prove that, you know, to maybe try to keep the 149 00:08:08,360 --> 00:08:11,400 Speaker 7: big tech companies in check and in line. But I 150 00:08:11,440 --> 00:08:15,320 Speaker 7: still think that the idea of splitting up companies divesting assets, 151 00:08:15,640 --> 00:08:18,440 Speaker 7: that's going to be more unlikely under the new administration. 152 00:08:18,840 --> 00:08:21,119 Speaker 7: To me, this is kind of just a continued show 153 00:08:21,200 --> 00:08:23,560 Speaker 7: of wanting to keep them again in line. 154 00:08:24,400 --> 00:08:27,200 Speaker 3: Appreciate how do we reconcile the fact that President Trump 155 00:08:27,200 --> 00:08:31,360 Speaker 3: has really almost anointed certain tech companies to be the 156 00:08:31,400 --> 00:08:34,600 Speaker 3: shepherds of AI competitive need here in the US. You 157 00:08:34,640 --> 00:08:37,839 Speaker 3: have Oracle Open AI as part of the Stargate deal. 158 00:08:38,240 --> 00:08:41,839 Speaker 3: Could that shield the companies that have stakes in those 159 00:08:41,880 --> 00:08:45,360 Speaker 3: particular companies a little bit more from you know, some 160 00:08:45,480 --> 00:08:48,640 Speaker 3: of the FTC scrutiny that we're seeing, or will we 161 00:08:48,679 --> 00:08:53,400 Speaker 3: see kind of this broader scrutiny across tech overall? 162 00:08:53,520 --> 00:08:56,319 Speaker 7: I think we're going to see broader scrutiny across tech, 163 00:08:56,760 --> 00:08:58,559 Speaker 7: you know, as opposed to at least over the past, 164 00:08:58,880 --> 00:09:00,319 Speaker 7: or at least relative to the. 165 00:09:00,240 --> 00:09:01,400 Speaker 2: First Trump administration. 166 00:09:01,679 --> 00:09:03,240 Speaker 7: But I think it'll be equivalent to what we saw 167 00:09:03,320 --> 00:09:06,680 Speaker 7: during the Biden administration and maybe taking that one step forward, 168 00:09:07,120 --> 00:09:10,040 Speaker 7: I do think very much there is a relationship angle 169 00:09:10,120 --> 00:09:10,960 Speaker 7: to all of this. 170 00:09:11,040 --> 00:09:12,560 Speaker 8: So I think your instinct. 171 00:09:12,240 --> 00:09:15,560 Speaker 7: And the question is accurate, right, that that companies that 172 00:09:15,640 --> 00:09:19,520 Speaker 7: have maybe ties to the administration, you know in somewhere, 173 00:09:19,559 --> 00:09:22,360 Speaker 7: or at least work constructively with them, are going to. 174 00:09:22,280 --> 00:09:23,440 Speaker 8: Be a little bit more protected. 175 00:09:23,480 --> 00:09:25,120 Speaker 7: And so I think it's in a lot of these companies' 176 00:09:25,160 --> 00:09:28,240 Speaker 7: interests at least have a good working relationship with pieces 177 00:09:28,240 --> 00:09:31,680 Speaker 7: of them. But remember the FTC is its own independent entity, 178 00:09:31,800 --> 00:09:34,120 Speaker 7: right and they you know, even if the chair is 179 00:09:34,120 --> 00:09:38,199 Speaker 7: appointed by the Trump administration, the way they act should 180 00:09:38,240 --> 00:09:39,160 Speaker 7: be fully independent. 181 00:09:39,520 --> 00:09:39,640 Speaker 1: You know. 182 00:09:39,679 --> 00:09:42,440 Speaker 7: Again, I think that the case comes down, especially for Microsoft, 183 00:09:42,800 --> 00:09:45,800 Speaker 7: to prove that there's some sort of competitive harm, to 184 00:09:45,880 --> 00:09:48,319 Speaker 7: prove that they are abusing their position, that there are 185 00:09:48,360 --> 00:09:51,319 Speaker 7: anti trust concerns. And the more work we do on that, 186 00:09:51,360 --> 00:09:53,320 Speaker 7: the more we see the moves that both Microsoft and 187 00:09:53,360 --> 00:09:56,440 Speaker 7: open ai are making independent of each other, the diversifying, 188 00:09:56,480 --> 00:09:59,600 Speaker 7: the embracing of interoperability, the harder I think it is 189 00:09:59,640 --> 00:10:01,760 Speaker 7: to make it case for anti trust here. 190 00:10:02,040 --> 00:10:05,079 Speaker 4: So Rishi, we then returned just more broadly to fundamentals 191 00:10:05,280 --> 00:10:07,400 Speaker 4: for the software companies that you cover at the moment, 192 00:10:07,480 --> 00:10:09,320 Speaker 4: Microsoft being one of them, but you'll cover a whole 193 00:10:09,320 --> 00:10:11,760 Speaker 4: host I think of Box, I think of Salesforce, I 194 00:10:11,800 --> 00:10:15,240 Speaker 4: think of Oracle. Software hasn't been as punished as hardware, 195 00:10:15,600 --> 00:10:19,040 Speaker 4: but we are reevaluating our previous winners, Rishi, And at 196 00:10:19,040 --> 00:10:20,760 Speaker 4: this moment, do you think that we're hitting a bottom 197 00:10:20,760 --> 00:10:21,959 Speaker 4: after the setoff of this week. 198 00:10:23,360 --> 00:10:23,560 Speaker 8: Yeah. 199 00:10:23,559 --> 00:10:25,800 Speaker 7: Look, I think this big sale off that we've had 200 00:10:25,840 --> 00:10:28,040 Speaker 7: over this week and really in software over the past month. 201 00:10:28,040 --> 00:10:31,439 Speaker 7: You're right, hasn't been punished as much as the hardware names, 202 00:10:31,559 --> 00:10:33,000 Speaker 7: but there's been a lot of names that I cover 203 00:10:33,080 --> 00:10:35,240 Speaker 7: that our high quality business is down thirty percent over 204 00:10:35,280 --> 00:10:38,160 Speaker 7: the past month on really no fundamental news. In our mind, 205 00:10:38,240 --> 00:10:41,440 Speaker 7: it is creating some really great buying opportunities, you know. 206 00:10:41,480 --> 00:10:43,720 Speaker 7: I think, Yeah, some of the big guys like Salesforce 207 00:10:43,720 --> 00:10:46,200 Speaker 7: and into It, I think are our interesting year. Even 208 00:10:46,200 --> 00:10:48,160 Speaker 7: going a little bit more down the cap spectrum. I 209 00:10:48,160 --> 00:10:51,640 Speaker 7: think HubSpot, which is actually a competitor to Salesforce, super 210 00:10:51,679 --> 00:10:53,160 Speaker 7: attractive name, down thirty percent. 211 00:10:53,200 --> 00:10:54,800 Speaker 2: It's one of our favorite names here. 212 00:10:54,960 --> 00:10:57,120 Speaker 7: Mango dB, which I look at as the next gen 213 00:10:57,200 --> 00:11:00,400 Speaker 7: Oracle in the database space, really compelling, you know, with 214 00:11:00,480 --> 00:11:02,400 Speaker 7: this thirty five percent draw down that we've seen over 215 00:11:02,440 --> 00:11:04,240 Speaker 7: the past month. So I do think it is creating 216 00:11:04,280 --> 00:11:07,360 Speaker 7: some buying opportunities because remember software, you know, let's see 217 00:11:07,360 --> 00:11:10,320 Speaker 7: what happens with the broader macro environment of the economy. 218 00:11:10,480 --> 00:11:12,839 Speaker 7: But software is very much a tariff proof sector, and 219 00:11:12,880 --> 00:11:14,679 Speaker 7: I think that's an important point to keep in mind 220 00:11:14,840 --> 00:11:16,920 Speaker 7: as you think about all the rhetoric around tariffs and 221 00:11:16,960 --> 00:11:17,520 Speaker 7: trade wars. 222 00:11:18,760 --> 00:11:21,599 Speaker 3: That's Rishi Juluria of RBC Capital Markets, thank you so 223 00:11:21,679 --> 00:11:25,200 Speaker 3: much for joining us. Still coming up, Open Ai shares 224 00:11:25,240 --> 00:11:28,880 Speaker 3: its suggestions for AI policy with the Trump administration. We'll 225 00:11:28,880 --> 00:11:31,520 Speaker 3: have all those details when we come back, Caroline. 226 00:11:31,640 --> 00:11:33,280 Speaker 4: Meanwhile, we've got to keep an eye on what's happening 227 00:11:33,320 --> 00:11:36,200 Speaker 4: with Intel while the rest of the market fools. Once again, 228 00:11:36,320 --> 00:11:40,800 Speaker 4: Intel outperformance by fifteen percent. Why le Boutan returns to 229 00:11:40,840 --> 00:11:43,160 Speaker 4: the company was on the board until August twenty twenty four. 230 00:11:43,200 --> 00:11:45,640 Speaker 4: Of course, he did the turnaround for Cadence, and now 231 00:11:46,040 --> 00:11:49,719 Speaker 4: his task to turn around Intel to improve its market capitalization. 232 00:11:50,480 --> 00:11:51,640 Speaker 2: This is blue meg technology. 233 00:12:02,280 --> 00:12:05,840 Speaker 4: Opening Eye has responded to a Trump administration request to 234 00:12:05,880 --> 00:12:09,280 Speaker 4: share ways to boost US competitiveness in the global artificial 235 00:12:09,280 --> 00:12:11,600 Speaker 4: intelligence race to tell us what they came out with 236 00:12:11,960 --> 00:12:13,960 Speaker 4: and begs Seth Egerman finely enough. 237 00:12:14,679 --> 00:12:16,440 Speaker 2: Less regulation seems to be the vibes. 238 00:12:16,520 --> 00:12:19,880 Speaker 9: It's shocking. It's a real wish list of a deregulatory 239 00:12:19,960 --> 00:12:23,160 Speaker 9: and heavy investment vibe here. Basically, Opening Eye is saying 240 00:12:23,200 --> 00:12:27,880 Speaker 9: we want laxer rules on copyright, we want more infrastructure investment. 241 00:12:27,960 --> 00:12:30,760 Speaker 9: And perhaps the most surprising thing is they're asking for 242 00:12:30,920 --> 00:12:34,360 Speaker 9: a little bit more protection and relief from the patchwork 243 00:12:34,440 --> 00:12:37,559 Speaker 9: of hundreds of state AI bills out there, saying the government, 244 00:12:37,640 --> 00:12:39,120 Speaker 9: you're kind of weigh in here and say, if we've 245 00:12:39,120 --> 00:12:42,680 Speaker 9: worked with you in providing access to our models to review, 246 00:12:42,760 --> 00:12:44,840 Speaker 9: then give us a little bit of leniency on the 247 00:12:44,880 --> 00:12:46,679 Speaker 9: many AI bills out there in the country. 248 00:12:47,920 --> 00:12:50,960 Speaker 3: Seth talk to us about what that patchwork currently looks like, 249 00:12:51,000 --> 00:12:54,240 Speaker 3: because a lot of these are still underway, and it's 250 00:12:54,240 --> 00:12:58,319 Speaker 3: interesting that they use the word preemption because it hasn't 251 00:12:58,360 --> 00:13:01,040 Speaker 3: exactly happened yet, but it kind of alludes to the 252 00:13:01,080 --> 00:13:04,120 Speaker 3: fact that they want that shield. How many bills out 253 00:13:04,120 --> 00:13:05,200 Speaker 3: there are they afraid of? 254 00:13:05,600 --> 00:13:07,880 Speaker 9: You know, there's hundreds of believe the number was something 255 00:13:07,920 --> 00:13:11,839 Speaker 9: like seven hundred iggy currently in discussion right now. These 256 00:13:11,960 --> 00:13:14,600 Speaker 9: range from bills around you know, deep fakes and bias 257 00:13:14,600 --> 00:13:17,360 Speaker 9: and AI systems to something like the controversial legislation that 258 00:13:17,360 --> 00:13:19,960 Speaker 9: we saw moving through California last year that open I 259 00:13:20,080 --> 00:13:22,640 Speaker 9: was vehemently opposed to. That said we might have civil 260 00:13:22,679 --> 00:13:26,160 Speaker 9: liability here if you have, you know, critical harms from 261 00:13:26,240 --> 00:13:27,040 Speaker 9: your AI models. 262 00:13:27,040 --> 00:13:29,160 Speaker 8: It's clear OPENII is not so. 263 00:13:29,120 --> 00:13:32,520 Speaker 9: Happy with that, despite having previously said they're in favorite regulation. 264 00:13:32,679 --> 00:13:34,480 Speaker 9: They just want it to be from the federal government, 265 00:13:34,520 --> 00:13:35,880 Speaker 9: which has done nothing much to do. 266 00:13:36,559 --> 00:13:39,120 Speaker 4: The minute you said copyright, it made me think of 267 00:13:39,160 --> 00:13:41,360 Speaker 4: what's happening in Europe and the UK in particular. 268 00:13:42,080 --> 00:13:44,640 Speaker 2: We've already seen jd Vance been. 269 00:13:44,480 --> 00:13:46,440 Speaker 4: Put out to Europe to try and fight the good 270 00:13:46,480 --> 00:13:49,280 Speaker 4: fight and say go away with your regulations. But ultimately 271 00:13:49,520 --> 00:13:51,079 Speaker 4: the US is one case. How much do they want 272 00:13:51,080 --> 00:13:52,920 Speaker 4: the US government to do their bidding abroad as well? 273 00:13:53,000 --> 00:13:54,760 Speaker 9: Yeah, it does sound like open is basically saying we 274 00:13:54,800 --> 00:13:56,760 Speaker 9: want you to go out there and advocate for the 275 00:13:56,800 --> 00:13:58,959 Speaker 9: fair use regime that they have been begging on for 276 00:13:59,040 --> 00:14:01,040 Speaker 9: the last couple of years, saying that we have our 277 00:14:01,120 --> 00:14:04,079 Speaker 9: right to use training data that might be copyright it 278 00:14:04,200 --> 00:14:07,240 Speaker 9: because it's fair use. We're seeing that other markets outside 279 00:14:07,280 --> 00:14:09,320 Speaker 9: the US are much more restrictive on that front, and 280 00:14:09,360 --> 00:14:12,640 Speaker 9: it faces lawsuits in numerous countries and it could be 281 00:14:12,679 --> 00:14:14,480 Speaker 9: critical to how they developed this technology. 282 00:14:15,880 --> 00:14:16,120 Speaker 2: Seth. 283 00:14:16,200 --> 00:14:18,760 Speaker 3: Another thing that Opening Eye added to their wish list 284 00:14:18,840 --> 00:14:21,600 Speaker 3: is that they want to use government held data like 285 00:14:21,800 --> 00:14:24,120 Speaker 3: healthcare data to train their models. 286 00:14:24,200 --> 00:14:26,520 Speaker 2: How do we think that's going to go over It's. 287 00:14:26,400 --> 00:14:28,400 Speaker 9: Going to go swimmingly. I'm sure no, I mean, I 288 00:14:28,400 --> 00:14:31,840 Speaker 9: think again. The point is if copyright becomes too strict 289 00:14:31,880 --> 00:14:33,840 Speaker 9: and they have a harder time getting the robust amount 290 00:14:33,840 --> 00:14:35,600 Speaker 9: of data that they need to build new models, they're 291 00:14:35,640 --> 00:14:37,600 Speaker 9: hoping the government can step in and provide a wealth 292 00:14:37,680 --> 00:14:40,320 Speaker 9: or resource of other data. I'm sure not everyone will 293 00:14:40,360 --> 00:14:43,160 Speaker 9: be comfortable having their healthcare information be used to feed these. 294 00:14:43,040 --> 00:14:47,640 Speaker 3: Models, though, Bloomberg Seth Figureman, thank you so much for 295 00:14:47,760 --> 00:14:51,080 Speaker 3: joining us. Turning to shares of Adobe that are sinking 296 00:14:51,080 --> 00:14:54,720 Speaker 3: today after the company gave a disappointing outlook for revenue growth. 297 00:14:54,960 --> 00:14:57,640 Speaker 3: For more on that, an aer Agrana of Bloomberg Intelligence 298 00:14:57,800 --> 00:15:01,200 Speaker 3: joins us now to discuss INNEROG sales in the current 299 00:15:01,280 --> 00:15:03,640 Speaker 3: quarter are expected to be between five point seven to 300 00:15:03,720 --> 00:15:06,280 Speaker 3: seven billion to five point eight two analysts. 301 00:15:05,840 --> 00:15:07,240 Speaker 2: Were projecting five point eight. 302 00:15:07,320 --> 00:15:10,360 Speaker 3: It's really not that far off, So help us understand 303 00:15:10,400 --> 00:15:12,000 Speaker 3: what investors are worried about. 304 00:15:12,040 --> 00:15:15,000 Speaker 2: Here. Is it the execution or the competition. 305 00:15:16,320 --> 00:15:19,360 Speaker 10: Yeah, I've been surprised about the reaction also because you know, 306 00:15:19,360 --> 00:15:21,760 Speaker 10: if you look at it, they reaffirmed their guidance for 307 00:15:21,800 --> 00:15:24,600 Speaker 10: the full year and frankly speaking, in the current environment, 308 00:15:24,680 --> 00:15:27,600 Speaker 10: nobody knows how the economy shapes up. That's not bad 309 00:15:27,640 --> 00:15:30,440 Speaker 10: at all, you know. From our side. They did give 310 00:15:30,480 --> 00:15:32,840 Speaker 10: out a lot more details about their AI initiative. 311 00:15:33,240 --> 00:15:35,440 Speaker 6: The thing where the Adobe is It is. 312 00:15:35,400 --> 00:15:38,520 Speaker 10: Probably the most controversial stock in software right now. The 313 00:15:38,640 --> 00:15:41,720 Speaker 10: valuation it has been a last i would say year 314 00:15:41,760 --> 00:15:44,520 Speaker 10: and a half or so. I haven't seen that. I 315 00:15:44,560 --> 00:15:46,960 Speaker 10: don't even know going back, you know, fifteen twenty years, 316 00:15:47,080 --> 00:15:49,280 Speaker 10: it was always trading at a premium to some of 317 00:15:49,320 --> 00:15:50,520 Speaker 10: the marque names. 318 00:15:50,800 --> 00:15:52,480 Speaker 6: The big issue with Adobe. 319 00:15:52,160 --> 00:15:55,560 Speaker 10: Is people are worried about their core creative business and 320 00:15:55,600 --> 00:15:58,760 Speaker 10: what would the future of that business be. Because of 321 00:15:59,080 --> 00:16:04,240 Speaker 10: free tools, you know, we can develop videos or pictures 322 00:16:04,280 --> 00:16:04,760 Speaker 10: on the fly. 323 00:16:05,120 --> 00:16:06,640 Speaker 6: Then why would you need Adobe? Now? 324 00:16:06,880 --> 00:16:11,080 Speaker 10: I think that's way simplified risk. They have a very 325 00:16:11,200 --> 00:16:14,320 Speaker 10: very strong mote around their products. But again, it's going 326 00:16:14,400 --> 00:16:16,920 Speaker 10: to take a while before people get comfortable. 327 00:16:16,440 --> 00:16:17,000 Speaker 6: With this story. 328 00:16:17,640 --> 00:16:19,560 Speaker 4: I feel that was the story even in the hardware 329 00:16:19,640 --> 00:16:23,160 Speaker 4: names that we saw of last week. Marvel got crushed 330 00:16:23,200 --> 00:16:26,040 Speaker 4: even when ultimately I lived up to expectations. But if 331 00:16:26,080 --> 00:16:28,440 Speaker 4: your forecast is in any way off down you go 332 00:16:28,480 --> 00:16:31,040 Speaker 4: in this in market environment, an K. What else does 333 00:16:31,040 --> 00:16:33,880 Speaker 4: Adobe need to be doing in terms of also fighting 334 00:16:33,880 --> 00:16:35,720 Speaker 4: off the perception that it's really hard to get rid 335 00:16:35,720 --> 00:16:38,960 Speaker 4: of subscriptions and ultimately that they're not getting backed for 336 00:16:38,960 --> 00:16:39,760 Speaker 4: the bart for the customer. 337 00:16:40,880 --> 00:16:43,480 Speaker 10: Yeah, I think you know, frankly speaking, all they need 338 00:16:43,520 --> 00:16:45,720 Speaker 10: to do is steady execution over the next twelve to 339 00:16:45,880 --> 00:16:49,040 Speaker 10: twenty four months and put this risk to rest that 340 00:16:49,080 --> 00:16:52,240 Speaker 10: they will get disrupted because of AI. I think that 341 00:16:52,360 --> 00:16:55,160 Speaker 10: is the single most important thing for them. They keep 342 00:16:55,200 --> 00:17:00,200 Speaker 10: on giving more information about how AI is enhancing their business. 343 00:17:00,280 --> 00:17:01,120 Speaker 6: That's going to be there. 344 00:17:01,320 --> 00:17:03,080 Speaker 10: But one of the things I caught from you know, 345 00:17:03,120 --> 00:17:06,560 Speaker 10: the stock reaction today is that market still seems to 346 00:17:06,600 --> 00:17:10,760 Speaker 10: be in a notion of accelerating growth for the entire 347 00:17:10,800 --> 00:17:13,240 Speaker 10: software industry, which is actually not a good thing for 348 00:17:13,280 --> 00:17:16,080 Speaker 10: the earning season that's coming up, because given where we 349 00:17:16,160 --> 00:17:19,760 Speaker 10: are in the economic uncertainty, I don't think there's going 350 00:17:19,800 --> 00:17:22,080 Speaker 10: to be that much seat growth going forward, or at 351 00:17:22,119 --> 00:17:24,680 Speaker 10: least in the near term, which means a lot more 352 00:17:24,720 --> 00:17:28,000 Speaker 10: volatility for these software names going into next quarter or 353 00:17:28,040 --> 00:17:28,560 Speaker 10: next month. 354 00:17:29,400 --> 00:17:31,440 Speaker 4: I love that you're pointing us towards the next earning 355 00:17:31,480 --> 00:17:33,960 Speaker 4: season where we're still wrapping up. This one never ends. 356 00:17:34,000 --> 00:17:36,679 Speaker 4: Anama Granta of bloem Megan Intelligences, so good to have you. 357 00:17:36,720 --> 00:17:40,800 Speaker 4: Thank You's talk about potential IPOs and what this market 358 00:17:40,880 --> 00:17:43,080 Speaker 4: volatility means for them. Just think of Core Weave. We've 359 00:17:43,080 --> 00:17:45,440 Speaker 4: been talking about a lot initial public offering, one of 360 00:17:45,480 --> 00:17:48,080 Speaker 4: the most hotly anticipated stock launches this year. 361 00:17:48,520 --> 00:17:49,280 Speaker 2: Will it go ahead? 362 00:17:49,520 --> 00:17:51,120 Speaker 4: What does it mean for the investor based mark client 363 00:17:51,200 --> 00:17:54,360 Speaker 4: CEO zero Capital joins us now twenty five million dollars. 364 00:17:54,200 --> 00:17:55,760 Speaker 2: Worth of shares of core Weave. 365 00:17:56,000 --> 00:18:00,000 Speaker 4: You are a publicly traded bench fund basically, and you 366 00:18:00,000 --> 00:18:03,679 Speaker 4: disclosed holdings that you have and ultimately your vision for 367 00:18:03,720 --> 00:18:05,280 Speaker 4: these businesses core Weave. 368 00:18:05,840 --> 00:18:06,639 Speaker 2: Will it go public? 369 00:18:06,680 --> 00:18:07,560 Speaker 4: Do you think in this market? 370 00:18:08,560 --> 00:18:08,760 Speaker 8: Yeah? 371 00:18:08,800 --> 00:18:08,960 Speaker 11: So. 372 00:18:09,000 --> 00:18:14,159 Speaker 12: Sero Capital is a publicly traded fund that invests in 373 00:18:14,160 --> 00:18:17,840 Speaker 12: in venture backed companies. We invested in core Weave about 374 00:18:17,880 --> 00:18:22,800 Speaker 12: a year ago. We found that it's a pretty unique property. 375 00:18:23,040 --> 00:18:26,880 Speaker 12: As you've been reporting and everybody's been reporting, I've never 376 00:18:27,000 --> 00:18:29,160 Speaker 12: in the forty years i've been in the business seed 377 00:18:29,160 --> 00:18:33,080 Speaker 12: and a supply demand and balance in any sort of anything, 378 00:18:33,119 --> 00:18:36,040 Speaker 12: and the idea of the need for compute and the 379 00:18:36,080 --> 00:18:40,160 Speaker 12: supply of compute was so offset in core. We've sat 380 00:18:40,280 --> 00:18:43,360 Speaker 12: right in the place to take advantage of that, so 381 00:18:43,720 --> 00:18:46,440 Speaker 12: we made an investment. It is the largest investment we've 382 00:18:46,480 --> 00:18:49,119 Speaker 12: ever made at Cero Capital in the fourteen years that 383 00:18:49,160 --> 00:18:52,840 Speaker 12: we've been investing, and we're really excited about the IPO. 384 00:18:52,960 --> 00:18:57,600 Speaker 12: We think that obviously market volatility isn't great for the 385 00:18:57,640 --> 00:18:59,720 Speaker 12: IPO market. I'm sure you've all been speaking a lot 386 00:18:59,760 --> 00:19:02,600 Speaker 12: about out that, but I do think that their business 387 00:19:02,600 --> 00:19:06,200 Speaker 12: model is so strong, their growth is so strong that 388 00:19:06,560 --> 00:19:10,320 Speaker 12: the market's going to appreciate appreciate it, and I think 389 00:19:10,359 --> 00:19:12,119 Speaker 12: that we will have the opportunity to go public in 390 00:19:12,160 --> 00:19:12,600 Speaker 12: this market. 391 00:19:12,680 --> 00:19:15,240 Speaker 4: I mean, the market was a little anxious about the 392 00:19:15,240 --> 00:19:17,840 Speaker 4: fact that they're so dependent on a couple of key clients, 393 00:19:17,880 --> 00:19:19,960 Speaker 4: Microsoft being notably one of them. 394 00:19:20,359 --> 00:19:22,119 Speaker 2: How do they prove that diversification. 395 00:19:22,320 --> 00:19:24,480 Speaker 4: There aren't that many hyperscalers out there that need this 396 00:19:24,520 --> 00:19:26,199 Speaker 4: sort of compute, but they need to show that they 397 00:19:26,200 --> 00:19:28,280 Speaker 4: can serve more than just two key right. 398 00:19:28,359 --> 00:19:31,720 Speaker 12: So I think you start with the point that Microsoft 399 00:19:31,720 --> 00:19:33,800 Speaker 12: obviously is a risk factor in the fact that they're 400 00:19:33,840 --> 00:19:36,399 Speaker 12: such a large customer and they do service some of 401 00:19:36,440 --> 00:19:43,159 Speaker 12: the other larger technology type companies, but there aren't that 402 00:19:43,240 --> 00:19:45,920 Speaker 12: many that actually needed It's sort of like looking at 403 00:19:45,960 --> 00:19:49,560 Speaker 12: the health insurance industry. There's a handful of health insurers 404 00:19:49,640 --> 00:19:52,720 Speaker 12: that supply for everybody. In this case, Core Weave supplies 405 00:19:53,520 --> 00:19:57,200 Speaker 12: compute for the folks that need it, and as compute 406 00:19:57,200 --> 00:20:01,159 Speaker 12: becomes less expensive and more the be able to diversify 407 00:20:01,240 --> 00:20:02,960 Speaker 12: their customer base, which I'm sure they'll. 408 00:20:02,800 --> 00:20:03,280 Speaker 8: Be able to do. 409 00:20:04,800 --> 00:20:08,880 Speaker 3: Mark, how are you advising your portfolio companies, particularly those 410 00:20:08,920 --> 00:20:12,320 Speaker 3: that haven't gone public yet. Are there certain sectors that 411 00:20:12,400 --> 00:20:15,680 Speaker 3: should avoid the public markets and just stay private for now? 412 00:20:16,680 --> 00:20:19,920 Speaker 12: Well, I think one of the reasons we built this 413 00:20:20,000 --> 00:20:23,840 Speaker 12: company fourteen years ago is companies wanted to stay private longer, 414 00:20:24,200 --> 00:20:27,240 Speaker 12: and that has certainly proved out. When we first started, 415 00:20:27,280 --> 00:20:30,399 Speaker 12: so there was under one hundred companies that were worth 416 00:20:30,400 --> 00:20:33,359 Speaker 12: over a billion dollars, there was under twenty companies worth 417 00:20:33,600 --> 00:20:36,800 Speaker 12: over a billion dollars. Now there's hundreds of them that 418 00:20:36,840 --> 00:20:39,879 Speaker 12: are worth over a billion dollars, and being public is 419 00:20:40,320 --> 00:20:43,600 Speaker 12: something that's not for any everybody, and I think companies 420 00:20:43,600 --> 00:20:45,879 Speaker 12: that want to go public have to understand the merits 421 00:20:45,880 --> 00:20:49,480 Speaker 12: of going public. I think the advent of the secondary market, 422 00:20:49,520 --> 00:20:52,600 Speaker 12: as well as the tender market that is available now 423 00:20:52,680 --> 00:20:56,879 Speaker 12: for these larger companies allows these larger companies to stay 424 00:20:56,880 --> 00:21:00,439 Speaker 12: private longer and allow them make a determination when it's 425 00:21:00,520 --> 00:21:03,920 Speaker 12: appropriate for them to go public if they it all 426 00:21:03,960 --> 00:21:04,800 Speaker 12: need to go public. 427 00:21:05,600 --> 00:21:08,280 Speaker 4: Look, you've invested before in the key winners of Facebook, Twitter, 428 00:21:08,280 --> 00:21:12,120 Speaker 4: Snap Spotify, Lift, but you're also in open Ai. Would 429 00:21:12,160 --> 00:21:14,639 Speaker 4: you ever envisage that open Ai would do anything but 430 00:21:14,680 --> 00:21:17,080 Speaker 4: stay private for the time being. They can access deep 431 00:21:17,119 --> 00:21:18,960 Speaker 4: troves of capital, but they must be one of the 432 00:21:18,960 --> 00:21:22,680 Speaker 4: most sought after holdings for the retail community and indep 433 00:21:22,680 --> 00:21:24,719 Speaker 4: people who can't access private funds. 434 00:21:25,119 --> 00:21:30,240 Speaker 12: Sure you know open Ai, which is widely reported, is 435 00:21:30,720 --> 00:21:33,159 Speaker 12: in the process of going from a not for profit 436 00:21:33,280 --> 00:21:34,120 Speaker 12: to for profit. 437 00:21:35,160 --> 00:21:35,960 Speaker 4: Can you support that? 438 00:21:37,040 --> 00:21:38,160 Speaker 8: I think that's appropriate. 439 00:21:38,240 --> 00:21:41,240 Speaker 12: I think if they want to continue to aggregate capital 440 00:21:41,240 --> 00:21:43,200 Speaker 12: in the way that they need to do to continue 441 00:21:43,280 --> 00:21:46,680 Speaker 12: on their mission to build out what is a phenomenal company, 442 00:21:47,359 --> 00:21:49,919 Speaker 12: they're going to need a more normalized capital structure to 443 00:21:49,960 --> 00:21:51,639 Speaker 12: do that. 444 00:21:51,640 --> 00:21:55,040 Speaker 2: That's smart. Client, CEO of Cerro Capital, Thank you so much. 445 00:21:55,040 --> 00:22:02,879 Speaker 2: For joining us. 446 00:22:03,880 --> 00:22:05,160 Speaker 4: Welcome back to Blue meg Techology. 447 00:22:05,200 --> 00:22:08,240 Speaker 2: I'm Caroine Hide in New York and I'm Jackie Devalas 448 00:22:08,240 --> 00:22:10,199 Speaker 2: in Washington. Let's check in on these markets. 449 00:22:10,240 --> 00:22:13,960 Speaker 4: Once again, the trade wars, the anxiety, this time between 450 00:22:14,000 --> 00:22:16,919 Speaker 4: Europe and US, styling back up grue. Sentiment is pushed 451 00:22:16,920 --> 00:22:19,320 Speaker 4: back lower. After yesterday, We've got a reprieve with a 452 00:22:19,359 --> 00:22:21,720 Speaker 4: lower than expected CPI reading, But once again we're under 453 00:22:21,760 --> 00:22:23,400 Speaker 4: pressure on the NASAK one hundred off by one point 454 00:22:23,400 --> 00:22:26,720 Speaker 4: thirty percent, completely erasing yesterday's games. We move under the 455 00:22:26,720 --> 00:22:28,879 Speaker 4: hood though, of who is outperforming, because most of the 456 00:22:28,920 --> 00:22:31,920 Speaker 4: Magnificent Seven are on the downside, dragging lower on a 457 00:22:31,960 --> 00:22:35,240 Speaker 4: points perspective. But look at Intel to the rescue. It's 458 00:22:35,280 --> 00:22:37,600 Speaker 4: from a points contributor, one of the best performers on 459 00:22:37,600 --> 00:22:38,040 Speaker 4: the upside. 460 00:22:38,040 --> 00:22:39,240 Speaker 2: We're up fifteen percent. 461 00:22:39,320 --> 00:22:42,520 Speaker 4: And why because lip Broutan comes back not as a 462 00:22:42,520 --> 00:22:45,879 Speaker 4: board member but actually as CEO starting next week. Bluemeg's 463 00:22:45,880 --> 00:22:49,640 Speaker 4: Ian King has been following the trails and tribulations of Intel. 464 00:22:50,000 --> 00:22:52,960 Speaker 4: Is he the right man to steer this company back 465 00:22:52,960 --> 00:22:53,919 Speaker 4: to good fortune? 466 00:22:54,760 --> 00:22:57,880 Speaker 13: I mean, the reaction tells you that people are clearly 467 00:22:57,920 --> 00:23:00,159 Speaker 13: happy about that. Whether it's a case of them being 468 00:23:00,240 --> 00:23:03,240 Speaker 13: happy that Intel have just got somebody in that crucial 469 00:23:03,280 --> 00:23:05,800 Speaker 13: seat at a crucial time for the company, or whether 470 00:23:05,880 --> 00:23:10,840 Speaker 13: it's because they're enthusiastic about his capabilities and his fit 471 00:23:10,920 --> 00:23:13,399 Speaker 13: for the role. We'll see how that plays out of 472 00:23:13,440 --> 00:23:15,520 Speaker 13: the long term, but certainly today people are very happy 473 00:23:15,520 --> 00:23:15,879 Speaker 13: about that. 474 00:23:18,080 --> 00:23:21,159 Speaker 3: Ian talk to us about what this has looked like 475 00:23:21,200 --> 00:23:23,960 Speaker 3: in the past. Because this is the fourth permanent CEO 476 00:23:24,200 --> 00:23:27,920 Speaker 3: over the last seven years, Our investors. 477 00:23:27,520 --> 00:23:29,480 Speaker 2: Going to look for something more other than just a 478 00:23:29,520 --> 00:23:30,439 Speaker 2: new person on the. 479 00:23:30,480 --> 00:23:32,639 Speaker 3: Job because the company also has some support from the 480 00:23:32,640 --> 00:23:38,080 Speaker 3: Trump administration. But what other questions are still open about 481 00:23:38,119 --> 00:23:42,040 Speaker 3: whether they can actually execute on this to stay relevant. 482 00:23:42,359 --> 00:23:45,080 Speaker 13: Yeah, I mean that is the giant question here, and 483 00:23:45,080 --> 00:23:47,840 Speaker 13: we don't have an answer in terms of what direction 484 00:23:47,960 --> 00:23:48,840 Speaker 13: he's going to choose. 485 00:23:48,840 --> 00:23:49,600 Speaker 8: It's whether. 486 00:23:50,880 --> 00:23:53,560 Speaker 13: Bhutan has come in as a CEO who's going to 487 00:23:53,600 --> 00:23:56,520 Speaker 13: try to make him tell what it once was which 488 00:23:56,600 --> 00:24:00,000 Speaker 13: was dominant in this industry, or whether he's a caretaker 489 00:24:00,160 --> 00:24:03,239 Speaker 13: who's going to preside over it being broken up. We 490 00:24:03,280 --> 00:24:05,359 Speaker 13: didn't really get the answer to that and the things 491 00:24:05,400 --> 00:24:08,399 Speaker 13: that he put out there publicly yesterday, and that's going 492 00:24:08,480 --> 00:24:10,520 Speaker 13: to be something that people will be really focused on. 493 00:24:11,000 --> 00:24:14,000 Speaker 4: And the chip sacked money in When is this eight 494 00:24:14,040 --> 00:24:16,400 Speaker 4: and a half billion dollars potentially going to come its way? 495 00:24:17,080 --> 00:24:19,320 Speaker 4: What do you make of his interactions going forward with 496 00:24:19,640 --> 00:24:22,520 Speaker 4: the current administration do you think yeah? 497 00:24:22,520 --> 00:24:25,199 Speaker 13: I mean that is a wild card for anybody in 498 00:24:25,240 --> 00:24:28,919 Speaker 13: the CEO role in the semiconductor industry, whether it's trade, 499 00:24:28,960 --> 00:24:31,119 Speaker 13: whether it's the Chips Act or anything like that. But 500 00:24:31,560 --> 00:24:33,840 Speaker 13: all along the Chips Act has been a very structured 501 00:24:34,160 --> 00:24:36,800 Speaker 13: situation where you have to build these plants, you have 502 00:24:36,880 --> 00:24:39,879 Speaker 13: to equip them, you have to start production, otherwise you 503 00:24:39,920 --> 00:24:42,000 Speaker 13: don't get the money. You know, it's very much a 504 00:24:42,080 --> 00:24:46,560 Speaker 13: mild post kind of triggered events. So they'll have to 505 00:24:46,560 --> 00:24:47,680 Speaker 13: do what they said they were going to do or 506 00:24:47,680 --> 00:24:50,480 Speaker 13: they won't get the money anyway, regardless of whether President 507 00:24:50,480 --> 00:24:51,880 Speaker 13: Trump turns against the Act. 508 00:24:51,760 --> 00:24:55,480 Speaker 2: Or not, it's Bloomberg's Ian King. Thank you so much 509 00:24:55,520 --> 00:24:56,160 Speaker 2: for joining us. 510 00:24:56,880 --> 00:25:02,560 Speaker 3: Next, Janet we from RBC Brewin Dolphin, head of market Analysis. Thanks, 511 00:25:02,760 --> 00:25:05,400 Speaker 3: thank you so much for joining us. Let's talk keep 512 00:25:05,440 --> 00:25:09,199 Speaker 3: talking about the semiconductor space here. Intel is one big player, 513 00:25:09,200 --> 00:25:11,240 Speaker 3: but I want to understand how you're thinking about the 514 00:25:11,320 --> 00:25:15,040 Speaker 3: space coming off of a really busy week that got 515 00:25:15,160 --> 00:25:18,919 Speaker 3: rattled by tariffs and other announcements the trip and Science 516 00:25:19,000 --> 00:25:22,080 Speaker 3: Act as another How are you thinking about the space 517 00:25:22,119 --> 00:25:23,399 Speaker 3: and the catalyst going forward? 518 00:25:24,840 --> 00:25:26,160 Speaker 6: Hi, thanks for having me. 519 00:25:26,400 --> 00:25:30,040 Speaker 11: I think over the longer term, AI would remain a 520 00:25:30,119 --> 00:25:32,840 Speaker 11: very relevant theme and a very key driver for the 521 00:25:32,840 --> 00:25:36,680 Speaker 11: semiconductors industry and the whole ecosystem. So on that, we're 522 00:25:36,720 --> 00:25:40,119 Speaker 11: still very confident on the psycho outlook. There's still plenty 523 00:25:40,160 --> 00:25:43,960 Speaker 11: of support for that, but unfortunately, we're in a very 524 00:25:45,240 --> 00:25:50,240 Speaker 11: complex and st microeconomic landscape at the moment, where you know, 525 00:25:50,359 --> 00:25:53,800 Speaker 11: companies with the most complex supply chains are likely to 526 00:25:53,880 --> 00:25:57,760 Speaker 11: be at risk, and that is included the semiconductor sector. 527 00:25:57,840 --> 00:26:01,439 Speaker 11: So unfortunately, given the micro back job, these stars are 528 00:26:01,480 --> 00:26:04,399 Speaker 11: not doing well at the moment. But I think that 529 00:26:04,480 --> 00:26:07,680 Speaker 11: valuations have become more attractive for the sector as a whole, 530 00:26:07,960 --> 00:26:10,400 Speaker 11: and I do believe that if you pick the leaders 531 00:26:10,960 --> 00:26:15,200 Speaker 11: across the semiconductor ecosystem, you are likely to still do 532 00:26:15,320 --> 00:26:17,000 Speaker 11: pretty well for the longer term. 533 00:26:17,440 --> 00:26:18,320 Speaker 2: Is Intel a leader? 534 00:26:18,480 --> 00:26:21,560 Speaker 4: I know whether it's an individual name perspective, but would 535 00:26:21,600 --> 00:26:25,360 Speaker 4: you put that company alongside some of the winning formulas 536 00:26:25,359 --> 00:26:27,119 Speaker 4: that we see of late with the in videos at 537 00:26:27,119 --> 00:26:28,679 Speaker 4: the top of the list. 538 00:26:29,600 --> 00:26:32,600 Speaker 11: So for now, probably not. We have to await more 539 00:26:33,160 --> 00:26:35,800 Speaker 11: strategic direction from the new CEO. I think Intel Face 540 00:26:35,920 --> 00:26:39,040 Speaker 11: is a bunch of challenges regardless of who is in charge. 541 00:26:39,200 --> 00:26:43,160 Speaker 11: Basically on the design front is you know, it's lagging 542 00:26:43,440 --> 00:26:48,399 Speaker 11: our companients like Nvidia and am D, and you know, 543 00:26:48,480 --> 00:26:51,320 Speaker 11: as a foundry business is also you know, it's direction 544 00:26:51,520 --> 00:26:53,840 Speaker 11: is not clear and they really have to revive that 545 00:26:53,960 --> 00:26:58,359 Speaker 11: boundary business in order to secure its position in the sector. 546 00:26:58,480 --> 00:27:00,639 Speaker 11: So I guess we'll just have to wait and see. 547 00:27:00,920 --> 00:27:04,159 Speaker 11: Apparently the market is very enthusiastic about the new. 548 00:27:04,080 --> 00:27:06,439 Speaker 2: CEO, Jenna. 549 00:27:06,480 --> 00:27:09,040 Speaker 3: Let's talk about software for a moment, because we had 550 00:27:09,040 --> 00:27:11,640 Speaker 3: a guest earlier this morning kind of tell us that 551 00:27:11,760 --> 00:27:15,160 Speaker 3: these software names are a little bit more insulated from 552 00:27:15,200 --> 00:27:17,280 Speaker 3: a lot of the tariff woes that we're seeing other 553 00:27:17,400 --> 00:27:18,840 Speaker 3: names really get battered by. 554 00:27:19,240 --> 00:27:20,280 Speaker 2: Would you agree with that? 555 00:27:20,480 --> 00:27:22,640 Speaker 3: How much more of that protection do some of those 556 00:27:22,720 --> 00:27:23,200 Speaker 3: names get? 557 00:27:25,560 --> 00:27:27,280 Speaker 11: Yeah, I would tend to agree with that. I think 558 00:27:27,840 --> 00:27:30,600 Speaker 11: in terms of the supply chain impact, I think obviously 559 00:27:30,640 --> 00:27:34,320 Speaker 11: the hardware the industrial sector would be more badly heat 560 00:27:34,400 --> 00:27:39,679 Speaker 11: where the software it would be fundamentally less heat. So 561 00:27:40,640 --> 00:27:43,399 Speaker 11: I would agree on that point. But obviously, given the 562 00:27:43,800 --> 00:27:46,600 Speaker 11: various macro uncertainties that we have, ultimately a lot of 563 00:27:46,600 --> 00:27:50,200 Speaker 11: these software companies, if you look at the megacap tech 564 00:27:50,240 --> 00:27:54,720 Speaker 11: companies there, they're still heavily uh exposed to domestic US 565 00:27:54,760 --> 00:27:58,920 Speaker 11: economy in terms of say advertising, cloud revenue, et cetera. 566 00:27:59,040 --> 00:28:02,560 Speaker 11: Ultimately is still dependent on the business cycle. I mean 567 00:28:02,600 --> 00:28:05,880 Speaker 11: oarguably less cyclical, less sensitive, but it's still dependent. 568 00:28:05,920 --> 00:28:08,160 Speaker 8: And obviously the valuations have. 569 00:28:08,160 --> 00:28:10,800 Speaker 11: Come off because of the sentiment ed So I guess 570 00:28:10,960 --> 00:28:15,080 Speaker 11: in the term, I think it is best to stay 571 00:28:15,119 --> 00:28:19,840 Speaker 11: cautious because we still have potentially a range of uncertainty 572 00:28:19,840 --> 00:28:22,640 Speaker 11: coming from the reciprocal towerfront that is going to heat 573 00:28:22,680 --> 00:28:23,679 Speaker 11: the sentiment channel. 574 00:28:25,000 --> 00:28:27,960 Speaker 3: The reason I'm curious is because more recession fears have 575 00:28:28,040 --> 00:28:31,120 Speaker 3: started to come to the foe, and when we think 576 00:28:31,119 --> 00:28:34,120 Speaker 3: about the tech sector, you know, we don't really remember 577 00:28:34,200 --> 00:28:37,120 Speaker 3: the fact that all of these software names, many of them, 578 00:28:37,160 --> 00:28:40,360 Speaker 3: and thinking like the social media companies are sensitive to 579 00:28:40,400 --> 00:28:44,960 Speaker 3: that digital advertising, how much of that is vulnerable to. 580 00:28:44,960 --> 00:28:46,760 Speaker 2: The swings in the economy. 581 00:28:47,120 --> 00:28:50,360 Speaker 3: Could there be more vulnerability there going forward if these 582 00:28:50,400 --> 00:28:51,920 Speaker 3: recession fears do play out. 583 00:28:54,520 --> 00:28:57,040 Speaker 11: Yes, I think there's not only some risks because what 584 00:28:57,080 --> 00:28:59,360 Speaker 11: we are saying now is basically the heat by the 585 00:28:59,440 --> 00:29:03,120 Speaker 11: sentiment channel. We haven't really actually seen too much of 586 00:29:03,240 --> 00:29:07,080 Speaker 11: the hat to actual earnings and the real economy. I mean, 587 00:29:07,080 --> 00:29:11,719 Speaker 11: there is recession anxiety, but I wouldn't still put that 588 00:29:11,760 --> 00:29:16,400 Speaker 11: at a central case. But if that eventually did play out, 589 00:29:16,440 --> 00:29:18,840 Speaker 11: I think there could be more to go in terms 590 00:29:18,840 --> 00:29:22,160 Speaker 11: of the hit to the earnings outlook. So that would 591 00:29:22,240 --> 00:29:26,800 Speaker 11: be quite bad to these companies because advertising, I think 592 00:29:26,920 --> 00:29:29,560 Speaker 11: is very cyplical. They probably the first to be cut. 593 00:29:30,080 --> 00:29:33,400 Speaker 11: If a company wants to reduce the spending and if 594 00:29:33,440 --> 00:29:37,480 Speaker 11: consumer confidence is falling, then consumers are going to tighten 595 00:29:37,480 --> 00:29:39,640 Speaker 11: the belt and spend less. That that's all going to 596 00:29:39,760 --> 00:29:43,880 Speaker 11: hit all these companies eventually. But I think, as I said, 597 00:29:43,920 --> 00:29:48,720 Speaker 11: it's currently still the sentiment that is, you know, playing out. 598 00:29:48,760 --> 00:29:51,320 Speaker 11: There is not really real hits to the earnings yet. 599 00:29:51,320 --> 00:29:53,560 Speaker 11: We just have to wait and see. 600 00:29:54,720 --> 00:29:58,440 Speaker 3: And what about overseas because some of the woes here 601 00:29:58,920 --> 00:30:01,920 Speaker 3: in the United States might be a gain for let's 602 00:30:01,920 --> 00:30:04,440 Speaker 3: say Chinese stocks. It seems like every time a new 603 00:30:04,480 --> 00:30:08,240 Speaker 3: model comes out of China, it sends US tech stocks 604 00:30:08,280 --> 00:30:12,239 Speaker 3: really freaking out, especially those with exposure to AI. How 605 00:30:12,280 --> 00:30:14,760 Speaker 3: are you thinking about positioning outside of the US. 606 00:30:16,600 --> 00:30:19,240 Speaker 11: Yeah, I think there's certainly more enthusiasm or in Chinese 607 00:30:19,440 --> 00:30:23,760 Speaker 11: tech stocks. I think mainly it's because sentiment has been 608 00:30:23,760 --> 00:30:26,800 Speaker 11: way too depressed and basically a lot of obasease investors 609 00:30:26,800 --> 00:30:29,600 Speaker 11: have written of Chinese tech for a while, and there's 610 00:30:29,640 --> 00:30:33,240 Speaker 11: suddenly a bunch of good news, including some shift in 611 00:30:33,240 --> 00:30:36,640 Speaker 11: a tone from the politician, a bit more welcoming tone, 612 00:30:37,000 --> 00:30:40,160 Speaker 11: a bit more supportive to the private sector, and of 613 00:30:40,200 --> 00:30:45,280 Speaker 11: course the innovation in AI and bordling out of using 614 00:30:45,320 --> 00:30:48,080 Speaker 11: AI in various sectors in China. So I would say, 615 00:30:48,120 --> 00:30:50,640 Speaker 11: in a new trauma, I think is reasonable to feel 616 00:30:50,680 --> 00:30:53,680 Speaker 11: more optimistic. I think there could still be more influence 617 00:30:53,720 --> 00:30:56,000 Speaker 11: going into that sector. But I think we have to 618 00:30:56,040 --> 00:30:58,960 Speaker 11: be a bit more cautious because we understand Chinese stock 619 00:30:59,000 --> 00:31:01,640 Speaker 11: market is very volatile and you know, a lot of 620 00:31:01,680 --> 00:31:04,480 Speaker 11: retail participation. I don't think this time would change. I 621 00:31:04,520 --> 00:31:08,840 Speaker 11: think that's still a lot of volatility and profit takeing 622 00:31:08,880 --> 00:31:11,320 Speaker 11: activity if the index continues to go on from here. 623 00:31:11,400 --> 00:31:12,920 Speaker 11: So I think we've got to be a bit more 624 00:31:12,960 --> 00:31:13,760 Speaker 11: careful here. 625 00:31:15,160 --> 00:31:17,600 Speaker 3: Seems like forever ago that the market was freaking out 626 00:31:17,640 --> 00:31:20,000 Speaker 3: about deep seek and all of a sudden with some 627 00:31:20,160 --> 00:31:23,480 Speaker 3: earnings that have come out, CAB backs has been reaffirmed. 628 00:31:23,520 --> 00:31:26,880 Speaker 3: Investors seem assured that maybe we're a little bit past this. 629 00:31:27,120 --> 00:31:31,520 Speaker 3: Do you still see the deep seek fear showing up anywhere, 630 00:31:31,720 --> 00:31:36,000 Speaker 3: if that's something that's going to drive the market going forward. 631 00:31:38,440 --> 00:31:38,600 Speaker 6: Yeah. 632 00:31:38,640 --> 00:31:42,200 Speaker 11: The thing is that I think fundamentally we are of 633 00:31:42,320 --> 00:31:49,200 Speaker 11: the view that deep six appearance. It shows that these 634 00:31:49,200 --> 00:31:51,160 Speaker 11: models can be run in a more efficient way and 635 00:31:51,200 --> 00:31:54,240 Speaker 11: thereby lowing the cost of running it and training, and 636 00:31:54,320 --> 00:31:57,320 Speaker 11: thereby eventually it would e stimulate the demand if the 637 00:31:57,360 --> 00:31:59,760 Speaker 11: cost goes down, so more people would be using it. 638 00:31:59,800 --> 00:32:02,440 Speaker 11: So not only that's going to be beneficial for the 639 00:32:02,440 --> 00:32:05,560 Speaker 11: whole sector, but at the same time, the thing is 640 00:32:06,320 --> 00:32:09,320 Speaker 11: we don't know yet, and if you look at the 641 00:32:09,360 --> 00:32:12,800 Speaker 11: latest earnings results from say Nvidia, you won't be able 642 00:32:12,840 --> 00:32:16,640 Speaker 11: to see that impact yet. Actually it's more more distant 643 00:32:16,640 --> 00:32:19,560 Speaker 11: in the future whether the hyperscalers are going to reduce 644 00:32:19,600 --> 00:32:22,600 Speaker 11: their capital spending because of the more efficient models. So 645 00:32:23,200 --> 00:32:26,240 Speaker 11: there's a lot of questions that are yet to be answered. 646 00:32:26,520 --> 00:32:30,160 Speaker 11: But I think from our view, if you look back 647 00:32:30,160 --> 00:32:33,760 Speaker 11: at history of the semiconductors of our cost impact demand, 648 00:32:34,080 --> 00:32:39,040 Speaker 11: usually when costs are lowered, then eventually demand actually grows exponentially. 649 00:32:39,720 --> 00:32:41,720 Speaker 11: But of course you have to also consider that the 650 00:32:41,760 --> 00:32:44,560 Speaker 11: tie is going to be shared by potentially more players, 651 00:32:45,240 --> 00:32:48,920 Speaker 11: So I think just focusing on say one or two 652 00:32:49,240 --> 00:32:53,960 Speaker 11: particular leaders is potentially more risky. That's why our strategy 653 00:32:54,000 --> 00:32:57,280 Speaker 11: is always to get exposure to a whole range of 654 00:32:57,360 --> 00:33:02,840 Speaker 11: the stocks in the semiconductor ecosal stump, we don't have. 655 00:33:02,840 --> 00:33:07,280 Speaker 3: A crystal Baldoy Janet Janet Mooly from RBC brewin Dolphin, 656 00:33:07,360 --> 00:33:08,720 Speaker 3: thank you so much for joining us. 657 00:33:09,000 --> 00:33:24,720 Speaker 2: More coming up next. This is Bloomberg time now for 658 00:33:24,760 --> 00:33:25,240 Speaker 2: talking tech. 659 00:33:25,280 --> 00:33:27,560 Speaker 4: First up, SpaceX is the layed its mission to bring 660 00:33:27,840 --> 00:33:31,200 Speaker 4: back two struck stock or astronauts from the International Space 661 00:33:31,240 --> 00:33:33,560 Speaker 4: Station due to an issue with ground equipment, and the 662 00:33:33,560 --> 00:33:35,960 Speaker 4: mission would have launched a new crew to the ISS 663 00:33:36,120 --> 00:33:39,000 Speaker 4: brought back those two astronauts the maroon since last year. 664 00:33:39,120 --> 00:33:42,680 Speaker 4: Now the launch has been rescheduled to place no earlier 665 00:33:42,680 --> 00:33:45,320 Speaker 4: than tomorrow evening. Plus, Ali Baba has launched a new 666 00:33:45,400 --> 00:33:48,880 Speaker 4: version of its quad AI agent incorporating chat what deep 667 00:33:48,920 --> 00:33:52,000 Speaker 4: Thinking and tasket secution features in one app. Now What 668 00:33:52,200 --> 00:33:55,000 Speaker 4: utilizes Ali Baba's own reasoning models and is the latest 669 00:33:55,000 --> 00:33:57,600 Speaker 4: attempt by the company to keep pace with China riveals 670 00:33:57,960 --> 00:34:00,720 Speaker 4: and shares a Delivero. They're falling today as much as 671 00:34:00,760 --> 00:34:04,000 Speaker 4: ten percent in London trading. That says most since all 672 00:34:04,000 --> 00:34:06,120 Speaker 4: the way back in twenty twenty two. The food delivery 673 00:34:06,120 --> 00:34:09,040 Speaker 4: company gave an earnings forecast that disappointed investors and comes 674 00:34:09,160 --> 00:34:12,040 Speaker 4: just days after I announced it would exit the Hong 675 00:34:12,160 --> 00:34:12,880 Speaker 4: Kong market. 676 00:34:13,080 --> 00:34:18,120 Speaker 3: Jackie, the head of Ali Baba Group's original core business, 677 00:34:18,320 --> 00:34:21,160 Speaker 3: says the use of various AI applications are having a 678 00:34:21,239 --> 00:34:25,200 Speaker 3: profound impact on the company. Earlier this week, Alibaba dot 679 00:34:25,239 --> 00:34:29,319 Speaker 3: COM's president Quo Jong told Bloomberg exclusively its vendors are 680 00:34:29,320 --> 00:34:31,200 Speaker 3: having an easier time finding. 681 00:34:30,880 --> 00:34:32,320 Speaker 2: New markets for their goods. 682 00:34:32,520 --> 00:34:37,480 Speaker 14: Take a listen, take the buyer as example. So if 683 00:34:37,520 --> 00:34:41,640 Speaker 14: we think about the search volume for the information or 684 00:34:41,640 --> 00:34:45,480 Speaker 14: for a product, as in the search volume for the 685 00:34:45,560 --> 00:34:46,960 Speaker 14: information parts. 686 00:34:46,600 --> 00:34:50,560 Speaker 8: Ten times than the products park. So think about it. 687 00:34:50,560 --> 00:34:52,640 Speaker 14: If you want to start a business, you will not 688 00:34:53,040 --> 00:34:55,960 Speaker 14: specifically go to a products or go to a kind 689 00:34:55,960 --> 00:34:58,400 Speaker 14: of suppliers. You will come up on this idea like 690 00:34:58,440 --> 00:35:02,400 Speaker 14: it was trending and with a specific kind of textile 691 00:35:02,400 --> 00:35:05,359 Speaker 14: you're going to use in your product, and then it's 692 00:35:05,440 --> 00:35:07,879 Speaker 14: kind of the big business plend Then it's come to 693 00:35:07,920 --> 00:35:11,200 Speaker 14: the products. So now using AI have this kind of 694 00:35:11,360 --> 00:35:15,200 Speaker 14: multi round the dialogue kind of search a lot of people. 695 00:35:15,320 --> 00:35:19,360 Speaker 14: Now it's more easy to do business online. And for 696 00:35:19,440 --> 00:35:23,520 Speaker 14: the sellers we see current our kind of for agent 697 00:35:23,920 --> 00:35:28,320 Speaker 14: these tools, it's already better than sixty or seventy percent 698 00:35:28,600 --> 00:35:31,000 Speaker 14: of the seller if they are new on olib dot 699 00:35:31,000 --> 00:35:35,800 Speaker 14: com in terms of the conversion rate for the customer 700 00:35:35,800 --> 00:35:37,760 Speaker 14: engagement and for the product management. 701 00:35:38,360 --> 00:35:41,200 Speaker 15: But how many businesses I think there's around two hundred 702 00:35:41,320 --> 00:35:45,000 Speaker 15: thousand smsider on the platform. How many businesses are actually 703 00:35:45,080 --> 00:35:45,960 Speaker 15: using AI today? 704 00:35:46,560 --> 00:35:50,960 Speaker 14: So currently the weekly active sellers are more than one 705 00:35:51,000 --> 00:35:53,800 Speaker 14: hundred percent, so it's more than half of the sellers 706 00:35:53,920 --> 00:35:58,040 Speaker 14: is already equipped by this agent based tools. And for 707 00:35:58,160 --> 00:36:01,959 Speaker 14: the buyer side, actually we want the AX. From last 708 00:36:02,160 --> 00:36:07,080 Speaker 14: November until now, there are accumulately more than one million users. 709 00:36:06,880 --> 00:36:10,120 Speaker 8: Is using using this AI based power search. 710 00:36:10,680 --> 00:36:14,080 Speaker 15: How much do you feel the competitive pressure on AI 711 00:36:14,640 --> 00:36:16,760 Speaker 15: given the amount of innovation that's. 712 00:36:16,640 --> 00:36:17,360 Speaker 2: Coming from China. 713 00:36:17,680 --> 00:36:20,919 Speaker 14: Okay, so first of all, we think there's a lot 714 00:36:21,200 --> 00:36:24,200 Speaker 14: we can do so far. For example, we talk about 715 00:36:24,239 --> 00:36:28,319 Speaker 14: the reasoning models, but based on language there's a lot 716 00:36:29,040 --> 00:36:34,320 Speaker 14: on the modimodel multimodel stuff that we can do and 717 00:36:34,480 --> 00:36:37,680 Speaker 14: later on, like you can based on anything. 718 00:36:37,440 --> 00:36:39,959 Speaker 8: An image, a video or a. 719 00:36:39,920 --> 00:36:43,600 Speaker 14: File that you uploaded the fail that the reasoning model 720 00:36:43,640 --> 00:36:46,640 Speaker 14: can help you to interpret and to a upon. So 721 00:36:46,920 --> 00:36:49,000 Speaker 14: all those kinds of sill we still believe there's a 722 00:36:49,080 --> 00:36:52,280 Speaker 14: huge space to grow and we can leverish the most. 723 00:36:52,960 --> 00:36:56,799 Speaker 14: I mean the models from matter, from deepsy, from art 724 00:36:56,920 --> 00:36:58,120 Speaker 14: cloud to Chailman. 725 00:36:58,520 --> 00:37:00,080 Speaker 8: So all these models actually. 726 00:36:59,840 --> 00:37:04,000 Speaker 14: Can help us to boost the capability of the applications 727 00:37:04,160 --> 00:37:07,680 Speaker 14: that we believe. Application actually is the key here and 728 00:37:07,880 --> 00:37:10,080 Speaker 14: why we think we can do it here we can 729 00:37:10,120 --> 00:37:13,040 Speaker 14: do better than others. Is not going to be a 730 00:37:13,080 --> 00:37:16,320 Speaker 14: few tools that play for the people answer the easy questions. 731 00:37:16,400 --> 00:37:20,440 Speaker 14: You need to be highly integrated into the big scenarios 732 00:37:20,680 --> 00:37:24,400 Speaker 14: like global trade is a thirty treating US dollar business. 733 00:37:24,480 --> 00:37:27,080 Speaker 14: I don't think any other business is larger than this. 734 00:37:27,680 --> 00:37:30,520 Speaker 14: So if we can apply AI in this business and 735 00:37:30,680 --> 00:37:34,839 Speaker 14: helping a lot of SMBs, so who cannot participate in 736 00:37:34,840 --> 00:37:37,239 Speaker 14: the global trade and now they can, so as think 737 00:37:37,239 --> 00:37:39,240 Speaker 14: this is a big success for us. 738 00:37:40,080 --> 00:37:43,320 Speaker 15: A lot of people are expecting industry consolidation or AI 739 00:37:43,400 --> 00:37:47,640 Speaker 15: consolidation in China this coming year. How many winners do 740 00:37:47,680 --> 00:37:49,960 Speaker 15: you see in the AI space in China? 741 00:37:50,840 --> 00:37:53,960 Speaker 14: So actually, for that part, I can only speak of 742 00:37:54,080 --> 00:37:58,920 Speaker 14: my opinion. So if you ask this question in January 743 00:37:59,360 --> 00:38:03,160 Speaker 14: plenty twenty five, as seeing that nobody can anticipate it, 744 00:38:03,200 --> 00:38:04,760 Speaker 14: there's a company called Diepsick. 745 00:38:05,560 --> 00:38:07,560 Speaker 8: I think you ask this question in March. 746 00:38:08,200 --> 00:38:10,520 Speaker 14: I don't think that anybody can antipates to what's going 747 00:38:10,560 --> 00:38:13,800 Speaker 14: to happen in April as well. This industry is moving 748 00:38:13,880 --> 00:38:16,120 Speaker 14: so fast and a lot of people doing a lot 749 00:38:16,160 --> 00:38:19,120 Speaker 14: of innovations. We just need to focus on what are 750 00:38:19,160 --> 00:38:23,560 Speaker 14: the right problems we need to tackle as people in 751 00:38:23,600 --> 00:38:27,640 Speaker 14: this technology domain. I don't think anybody can anticipate what's 752 00:38:27,680 --> 00:38:28,839 Speaker 14: going on for this year. 753 00:38:29,520 --> 00:38:34,640 Speaker 4: Alibaba dot Com president Quosine speaking exclusively with Bluemeg's Annabelt Drowners. 754 00:38:42,600 --> 00:38:46,040 Speaker 4: Let's just take a quick check on Apple shares year today. 755 00:38:46,680 --> 00:38:50,239 Speaker 4: Their erosion in market capitalization is to the tune of 756 00:38:50,239 --> 00:38:53,080 Speaker 4: about half a trillion dollars a fifteen percent wipeout is 757 00:38:53,160 --> 00:38:55,319 Speaker 4: actually far worse. And then as that one hundred which 758 00:38:55,320 --> 00:38:57,680 Speaker 4: is off about eight percent, why is it underperforming? There 759 00:38:57,719 --> 00:39:01,080 Speaker 4: is a myriad of risks which round Rosseella really writes 760 00:39:01,080 --> 00:39:04,240 Speaker 4: about to our audience today, talking about the wives of tariffs, 761 00:39:04,280 --> 00:39:07,279 Speaker 4: about the uncertainty in China, about the AI offerings really 762 00:39:07,400 --> 00:39:09,839 Speaker 4: fizzling of course of late, the SERI concerns, and then 763 00:39:09,840 --> 00:39:13,160 Speaker 4: there's that lucrative partnership with Google parent Alphabet and whether 764 00:39:13,239 --> 00:39:16,360 Speaker 4: or not those payments will still come for exclusive access 765 00:39:16,400 --> 00:39:19,279 Speaker 4: to Google Search within the iPhone. Well, let's talk all 766 00:39:19,320 --> 00:39:20,879 Speaker 4: about Apple and maybe the way in which is trying 767 00:39:20,880 --> 00:39:24,040 Speaker 4: to offset some of these headwinds, the affordable iPhone sixteen 768 00:39:24,040 --> 00:39:26,960 Speaker 4: and e howforfordable actually is it? Mark German is beginning 769 00:39:26,960 --> 00:39:29,320 Speaker 4: his hands on some of the products, and Bloomberg writes 770 00:39:29,360 --> 00:39:31,759 Speaker 4: about how it's kind of a tough sell at this 771 00:39:31,800 --> 00:39:32,360 Speaker 4: price point. 772 00:39:32,400 --> 00:39:36,440 Speaker 16: Mark, Yeah, to your point, it's not affordable enough. At 773 00:39:36,480 --> 00:39:39,359 Speaker 16: six hundred dollars. It puts it basically at the very 774 00:39:39,440 --> 00:39:43,840 Speaker 16: high end the budget range, right, But it's specifications, one camera, 775 00:39:44,640 --> 00:39:48,319 Speaker 16: it's processing, its AI capabilities really puts it sort of at. 776 00:39:48,239 --> 00:39:49,760 Speaker 8: The bottom barrel of budget phones. 777 00:39:49,760 --> 00:39:52,399 Speaker 16: You can get Android phones for a couple hundred dollars less, 778 00:39:52,719 --> 00:39:56,279 Speaker 16: particularly overseas, where you're getting three or four cameras, where 779 00:39:56,320 --> 00:39:59,160 Speaker 16: you're getting better AI features, where you're getting better displays, 780 00:39:59,440 --> 00:40:03,080 Speaker 16: you're getting higher resolution panels with improved frame rates for scrolling, 781 00:40:03,360 --> 00:40:07,080 Speaker 16: you're getting better gaming, etc. So they have a lot 782 00:40:07,120 --> 00:40:09,640 Speaker 16: of competition there, and it continues to be mind boggling 783 00:40:09,880 --> 00:40:11,319 Speaker 16: that they abandoned that three to. 784 00:40:11,280 --> 00:40:12,480 Speaker 6: Four hundred dollars price point. 785 00:40:12,640 --> 00:40:15,160 Speaker 16: I really think something like that, while out of the 786 00:40:15,160 --> 00:40:18,920 Speaker 16: typical Apple premium range, would have helped them tremendously with growth, 787 00:40:18,960 --> 00:40:24,440 Speaker 16: particularly for services in places like India, Southeast Asia, Eastern Europe. 788 00:40:24,840 --> 00:40:28,320 Speaker 4: To your point, when you first reported about this products 789 00:40:28,360 --> 00:40:31,239 Speaker 4: coming out, the idea was actually it was very like 790 00:40:31,320 --> 00:40:34,160 Speaker 4: and iphoned sixteen. There wasn't really much you were having 791 00:40:34,239 --> 00:40:36,759 Speaker 4: to leave on the table by not going down to 792 00:40:36,800 --> 00:40:39,319 Speaker 4: this particular phone. So will they ever bring anything out 793 00:40:39,400 --> 00:40:41,520 Speaker 4: in that price range that you think could tempt more 794 00:40:41,520 --> 00:40:42,760 Speaker 4: of an emerging market purchaser. 795 00:40:44,760 --> 00:40:47,239 Speaker 16: I would never say never, but my belief is that 796 00:40:47,280 --> 00:40:49,360 Speaker 16: the plan is eventually to bring the price down of 797 00:40:49,400 --> 00:40:52,520 Speaker 16: this particular model. Right today it's six hundred dollars, but 798 00:40:52,600 --> 00:40:54,720 Speaker 16: maybe in a year and a half, two years from now, 799 00:40:54,880 --> 00:40:56,640 Speaker 16: maybe I'll get it down to the five hundred dollars 800 00:40:56,640 --> 00:40:59,400 Speaker 16: price range. At that point, it's going to be even 801 00:40:59,400 --> 00:41:03,160 Speaker 16: more outdated specification wise, but from a price point perspective, 802 00:41:03,360 --> 00:41:06,680 Speaker 16: it'll actually be quite a bit more compelling. It would 803 00:41:06,680 --> 00:41:09,160 Speaker 16: put it squarely in the same price range as the 804 00:41:09,200 --> 00:41:11,719 Speaker 16: Google Pixel A series. Right they have the eight A 805 00:41:11,960 --> 00:41:14,360 Speaker 16: eight right now, they have the nine A coming. This 806 00:41:14,440 --> 00:41:16,680 Speaker 16: is an annual thing. They do a lower end pixel phone, 807 00:41:16,960 --> 00:41:20,560 Speaker 16: so better competition there. The concern is right for Googles, 808 00:41:20,560 --> 00:41:23,000 Speaker 16: no one's really buying the Pixel phones as great as 809 00:41:23,040 --> 00:41:23,319 Speaker 16: they are. 810 00:41:23,400 --> 00:41:24,279 Speaker 6: For Apple, they're at. 811 00:41:24,200 --> 00:41:27,600 Speaker 16: Least getting some momentum because this is a phone. It's 812 00:41:27,680 --> 00:41:30,160 Speaker 16: not going to get switchers, but it's a phone that's 813 00:41:30,160 --> 00:41:33,160 Speaker 16: going to be able to upgrade from older iPhones. So 814 00:41:33,200 --> 00:41:36,200 Speaker 16: from that standpoint it's compelling for some people. But they 815 00:41:36,239 --> 00:41:39,400 Speaker 16: have the opportunity to do something even bolder, even bigger, 816 00:41:39,440 --> 00:41:40,040 Speaker 16: even cheaper. 817 00:41:41,480 --> 00:41:43,759 Speaker 4: Well, for now, we still wonder what's happening in terms 818 00:41:43,800 --> 00:41:47,000 Speaker 4: of the generative AI integration, Apple Intelligence, Siri as well. 819 00:41:47,000 --> 00:41:49,319 Speaker 4: There's a lot going on for this particular company. Mark German, 820 00:41:49,360 --> 00:41:51,319 Speaker 4: as always, you can break it down for us, thank you. 821 00:41:51,680 --> 00:41:53,400 Speaker 4: Let's just return to what is a key mover on 822 00:41:53,440 --> 00:41:56,920 Speaker 4: the day, though, because at last the relief floods the 823 00:41:56,960 --> 00:42:00,319 Speaker 4: market that Intel has a single CEO for the law term. 824 00:42:00,400 --> 00:42:02,960 Speaker 4: The interim CEOs go back to their day jobs as 825 00:42:03,000 --> 00:42:05,759 Speaker 4: CFO and chief a product. We're up fourteen percent as 826 00:42:05,800 --> 00:42:08,160 Speaker 4: lip Boutang comes back to the business, can he be 827 00:42:08,320 --> 00:42:10,960 Speaker 4: a turnaround king for Intel as he was for Cadence Designs. 828 00:42:11,680 --> 00:42:14,000 Speaker 4: That does it for this edition of Bloomberg Technology. Do 829 00:42:14,160 --> 00:42:15,839 Speaker 4: not forget to check out our podcast. You can find 830 00:42:15,840 --> 00:42:18,520 Speaker 4: it online on the terminal as well as Apple, Spotify, 831 00:42:18,560 --> 00:42:19,120 Speaker 4: and iHeart. 832 00:42:19,440 --> 00:42:23,560 Speaker 2: This is Bloomberg Technology.