1 00:00:02,920 --> 00:00:13,320 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:10,400 --> 00:00:14,080 Speaker 2: From the Heart where Innovation, money and power Collie in 3 00:00:14,160 --> 00:00:15,680 Speaker 2: Silicon Valley n Beyond. 4 00:00:16,000 --> 00:00:20,079 Speaker 3: This is Bloomberg Technology with Caroline Hyde and Ed lud Love. 5 00:00:33,640 --> 00:00:34,960 Speaker 4: Welcome to Bloomberg Technology. 6 00:00:34,960 --> 00:00:38,040 Speaker 5: I'm Caroline Hyde in Bloomberg's World headquarters in New York. 7 00:00:38,120 --> 00:00:40,600 Speaker 5: There is a lot to get to this hour, but 8 00:00:40,680 --> 00:00:42,920 Speaker 5: let's start with some of the political turmoil in France, 9 00:00:43,280 --> 00:00:46,000 Speaker 5: that no confidence vote that could topple the country's current 10 00:00:46,080 --> 00:00:50,239 Speaker 5: government Blouemost. Caroline Conan is there for the latest in 11 00:00:50,320 --> 00:00:54,120 Speaker 5: Paris debate finally getting underway. But for our global audience 12 00:00:54,120 --> 00:00:56,640 Speaker 5: and our technology audience, Caroline, for listen to. 13 00:00:56,520 --> 00:00:58,880 Speaker 4: What we expect in the next hour or so. So 14 00:00:58,960 --> 00:00:59,880 Speaker 4: the debate just started. 15 00:01:00,120 --> 00:01:02,800 Speaker 6: Here behind me inside the National Assembly, you've got Erie 16 00:01:02,840 --> 00:01:06,160 Speaker 6: Cokrel at the moment speaking, is the leader of the 17 00:01:06,200 --> 00:01:09,480 Speaker 6: far left group in the National Assembly, and this is 18 00:01:09,520 --> 00:01:13,000 Speaker 6: the group that is proposing this motion of no confidence 19 00:01:13,040 --> 00:01:17,120 Speaker 6: in order to topple Michelle Bannie's governments and make Michelle 20 00:01:17,120 --> 00:01:20,440 Speaker 6: Bannie's government collapse. That vote could happen in the next 21 00:01:20,480 --> 00:01:24,000 Speaker 6: couple of hours, and we're pretty sure of the outcome 22 00:01:24,240 --> 00:01:27,640 Speaker 6: as we speak given the national value. So the far 23 00:01:27,760 --> 00:01:31,000 Speaker 6: right party of Marin Lupen has said that they will 24 00:01:31,040 --> 00:01:33,880 Speaker 6: back this motion of no confidence even if it was 25 00:01:33,920 --> 00:01:37,319 Speaker 6: presented by the far left, So the two extremes joining 26 00:01:37,360 --> 00:01:40,800 Speaker 6: forces in order to overthrow this Banne government. 27 00:01:41,360 --> 00:01:43,440 Speaker 5: We can see the impact on the euro, we've seen 28 00:01:43,480 --> 00:01:46,440 Speaker 5: the impact on the price of French debt. But for 29 00:01:46,520 --> 00:01:49,200 Speaker 5: those that are running businesses for a technology audience that 30 00:01:49,280 --> 00:01:53,000 Speaker 5: cares about the French technology startups, for example, what does 31 00:01:53,040 --> 00:01:56,640 Speaker 5: a change or collapsing government mean for them? 32 00:01:57,040 --> 00:01:59,160 Speaker 6: Of course, the main question is that we're going to 33 00:01:59,200 --> 00:02:02,600 Speaker 6: have a twenty two twenty five budget and what is 34 00:02:02,840 --> 00:02:06,120 Speaker 6: left in this budget. There will probably be some special 35 00:02:06,200 --> 00:02:09,840 Speaker 6: laws in order to roll over the twenty twenty four budget, but. 36 00:02:09,760 --> 00:02:12,240 Speaker 4: That means a lot of help and. 37 00:02:12,680 --> 00:02:18,280 Speaker 6: For example, a reduction of contributions from companies in order 38 00:02:18,360 --> 00:02:22,240 Speaker 6: to hire lowest income employees. These are not going to 39 00:02:22,240 --> 00:02:25,120 Speaker 6: be automatically indexed on inflation, meaning that it's going to 40 00:02:25,160 --> 00:02:27,840 Speaker 6: be harder. It's going to cost more for those companies 41 00:02:28,360 --> 00:02:32,160 Speaker 6: to hire some of those employees. So technically, in the 42 00:02:32,240 --> 00:02:35,080 Speaker 6: short term it's a little unclear. But in the longer term, 43 00:02:35,200 --> 00:02:38,160 Speaker 6: if there is still no budget over the next few 44 00:02:38,200 --> 00:02:41,360 Speaker 6: weeks before the end of December, that will have a 45 00:02:41,360 --> 00:02:42,919 Speaker 6: big impact on companies. 46 00:02:43,320 --> 00:02:44,560 Speaker 4: That will because we'll. 47 00:02:44,360 --> 00:02:47,359 Speaker 6: Have this twenty twenty four budget saying the same we 48 00:02:47,560 --> 00:02:48,359 Speaker 6: had any increase. 49 00:02:49,080 --> 00:02:51,680 Speaker 5: Carolyn, We thank you so much for the latest from Paris. 50 00:02:51,919 --> 00:02:53,960 Speaker 5: We'll come back to you on any of the breaking news, 51 00:02:54,000 --> 00:02:55,000 Speaker 5: but first let's kind. 52 00:02:54,880 --> 00:02:56,880 Speaker 4: Of check on the markets, because despite. 53 00:02:56,600 --> 00:03:00,600 Speaker 5: Political termol worldwide, it fails often. ZAC is at a 54 00:03:00,639 --> 00:03:02,480 Speaker 5: record high, the S and P is at a record high, 55 00:03:02,520 --> 00:03:03,880 Speaker 5: and we have tech to thank for it. 56 00:03:04,080 --> 00:03:04,680 Speaker 4: In large part. 57 00:03:04,720 --> 00:03:07,560 Speaker 5: We see Salesforce also at a record high, up eight 58 00:03:07,600 --> 00:03:10,320 Speaker 5: point seven percent off the back of its earnings, really 59 00:03:10,360 --> 00:03:13,240 Speaker 5: managing to pull out the power from its AI agent 60 00:03:13,280 --> 00:03:14,079 Speaker 5: force focus. 61 00:03:14,320 --> 00:03:15,560 Speaker 4: We're looking at Octa, this is. 62 00:03:15,560 --> 00:03:18,120 Speaker 5: Application software company also rising at one point up more 63 00:03:18,160 --> 00:03:19,960 Speaker 5: than thirteen percent. We're now up five percent on the 64 00:03:19,960 --> 00:03:22,200 Speaker 5: back of a beaten raise for its earnings after the 65 00:03:22,200 --> 00:03:26,640 Speaker 5: bell yesterday. And Marvel Technology it's now up some twenty percent, 66 00:03:27,040 --> 00:03:29,800 Speaker 5: sawing its world to a record high. This is the 67 00:03:29,880 --> 00:03:32,800 Speaker 5: chip company had better than expected results and stronger earnings 68 00:03:32,840 --> 00:03:36,240 Speaker 5: forecast as well. What's notable is also Marvell's CEO Matt 69 00:03:36,320 --> 00:03:39,160 Speaker 5: Murphy said on the call that he is committed to 70 00:03:39,200 --> 00:03:42,800 Speaker 5: the company despite being a potential contender. We understand to 71 00:03:42,880 --> 00:03:45,440 Speaker 5: lead Intel and that is where we want to go next. 72 00:03:45,480 --> 00:03:48,600 Speaker 5: Because Intel's search for a new CEO is the focus 73 00:03:48,640 --> 00:03:50,960 Speaker 5: for many at the moment, and is it going to 74 00:03:50,960 --> 00:03:54,240 Speaker 5: be focusing heavily on outsiders. The chip maker is considering 75 00:03:54,240 --> 00:03:57,320 Speaker 5: candidates such as Matt Murphy, but also the former Cadence 76 00:03:57,360 --> 00:04:00,280 Speaker 5: Design System CEO Lip Bhutan, who actually recently quit the 77 00:04:00,320 --> 00:04:03,400 Speaker 5: board of Intel, as bringing in Bloomberg's Ryan Gold for 78 00:04:03,520 --> 00:04:07,520 Speaker 5: more Ryan. Is it surprising to see Intel not go 79 00:04:07,600 --> 00:04:08,760 Speaker 5: to its own bench. 80 00:04:09,240 --> 00:04:10,880 Speaker 1: Carol, I think it is when you think this is 81 00:04:10,920 --> 00:04:13,640 Speaker 1: the first time since nineteen sixty eight when Intel was founded, 82 00:04:13,680 --> 00:04:16,040 Speaker 1: that they will actually sort of think about looking outside. 83 00:04:16,240 --> 00:04:17,760 Speaker 1: I think that kind of gets to the heart of 84 00:04:17,760 --> 00:04:19,560 Speaker 1: what it means to be in semi conductors right now. 85 00:04:19,720 --> 00:04:22,240 Speaker 1: Semi Conductors takes a lot of expertise, It takes a 86 00:04:22,240 --> 00:04:24,520 Speaker 1: load of nows and you know, some of the decisions 87 00:04:24,560 --> 00:04:26,760 Speaker 1: that were made excuse me, over the years, you know, 88 00:04:26,920 --> 00:04:30,640 Speaker 1: and the pet even the Bob Swan Krasnich before him. 89 00:04:30,800 --> 00:04:33,839 Speaker 1: You know, these are decisions that will pay if you 90 00:04:33,880 --> 00:04:35,479 Speaker 1: make them, might in ten years time. 91 00:04:35,600 --> 00:04:36,880 Speaker 4: That's how long it takes. 92 00:04:36,600 --> 00:04:38,880 Speaker 1: To get some things over the line in semiconductors and 93 00:04:39,000 --> 00:04:41,279 Speaker 1: to go out and think about who your next CEO is. 94 00:04:41,880 --> 00:04:42,880 Speaker 1: It's not only easy toss. 95 00:04:42,880 --> 00:04:44,640 Speaker 5: Well, many are going to look at Pat Keilsinger didn't 96 00:04:44,640 --> 00:04:47,719 Speaker 5: actually get that much time. He came from VMware EMC, 97 00:04:47,960 --> 00:04:50,160 Speaker 5: but he was in many ways an Intel life though 98 00:04:50,200 --> 00:04:53,960 Speaker 5: he had started his career there. And what therefore is 99 00:04:54,560 --> 00:04:57,040 Speaker 5: really the attractiveness of this role at the moment, Marvel, 100 00:04:57,120 --> 00:04:59,400 Speaker 5: for example, Matt Murphy doing a great job showing the 101 00:04:59,400 --> 00:05:02,440 Speaker 5: power of a strategy. Is it not going to be 102 00:05:02,680 --> 00:05:04,920 Speaker 5: that appetizing a role to be taking on right now? 103 00:05:05,040 --> 00:05:07,480 Speaker 1: I think it's a it could be a poison chalice. 104 00:05:07,520 --> 00:05:09,160 Speaker 1: I think some people do you as a poison cholie, 105 00:05:09,240 --> 00:05:11,160 Speaker 1: just given the challenges because when you think about am 106 00:05:11,240 --> 00:05:14,560 Speaker 1: dference and it's a big rival to Intel. It made 107 00:05:14,560 --> 00:05:17,120 Speaker 1: the decision to go Fablus years and years ago. Intel 108 00:05:17,240 --> 00:05:19,520 Speaker 1: is still you know, still a fab chip company. 109 00:05:19,600 --> 00:05:20,919 Speaker 4: It'll be more of a fast. 110 00:05:20,640 --> 00:05:22,640 Speaker 1: Exactly, and you know rival t SMC and we all 111 00:05:22,640 --> 00:05:25,560 Speaker 1: know how that went. So whoever comes in has a 112 00:05:25,600 --> 00:05:28,280 Speaker 1: massive challenge on their hands. That said, though you know 113 00:05:28,360 --> 00:05:30,080 Speaker 1: the fact that we were probably sid them at Murphy 114 00:05:30,120 --> 00:05:32,799 Speaker 1: is being considered, lip bout ten being considered. Let's remember 115 00:05:32,800 --> 00:05:35,960 Speaker 1: that lip Boo is a big advocate for you know, 116 00:05:36,040 --> 00:05:41,080 Speaker 1: making Intel more sort of industrially manufacturing sound, so you 117 00:05:41,120 --> 00:05:42,760 Speaker 1: know that could be interesting. But you know there are 118 00:05:42,800 --> 00:05:44,800 Speaker 1: many others too, because we're told, for instance, when we 119 00:05:44,800 --> 00:05:47,320 Speaker 1: talk to sources that anyone who puts their hand up 120 00:05:47,360 --> 00:05:50,360 Speaker 1: who has a remote degree of expertise in semiconductors will 121 00:05:50,440 --> 00:05:52,560 Speaker 1: likely be considered. And you know, I can tell you 122 00:05:52,600 --> 00:05:55,640 Speaker 1: that Spencer Stewart that's running the process to higher than UCO. 123 00:05:55,760 --> 00:05:58,320 Speaker 1: Right now, they're saying that we're probably going to look 124 00:05:58,320 --> 00:06:00,280 Speaker 1: for four or five candidates and then shortliss to one 125 00:06:00,320 --> 00:06:00,560 Speaker 1: to two. 126 00:06:00,640 --> 00:06:01,840 Speaker 4: Which can we get a timeframe? 127 00:06:02,640 --> 00:06:04,480 Speaker 1: I think they're looking to this as soon as. 128 00:06:04,320 --> 00:06:07,680 Speaker 4: Possible, Ran keeping us up to speed. We thank you 129 00:06:07,760 --> 00:06:09,640 Speaker 4: Rangel there. Meanwhile, let's just. 130 00:06:09,600 --> 00:06:13,080 Speaker 5: Get a deeper look at the chip space tech market 131 00:06:13,120 --> 00:06:15,680 Speaker 5: more broadly, turning one of t RO prices with US 132 00:06:15,720 --> 00:06:18,760 Speaker 5: managing the Science and Technology Fund more than nine billion 133 00:06:18,800 --> 00:06:21,400 Speaker 5: dollars under management there and basically, you look like you're 134 00:06:21,440 --> 00:06:24,000 Speaker 5: in every chip name apart from Intel in many ways, Tony, 135 00:06:24,120 --> 00:06:26,680 Speaker 5: is that right? And and how are you looking at 136 00:06:26,680 --> 00:06:28,120 Speaker 5: the ecosystem and its strength. 137 00:06:29,080 --> 00:06:30,440 Speaker 7: Yeah, I think that's a great question. 138 00:06:31,080 --> 00:06:33,239 Speaker 8: You know, when you look at our holdings, we currently 139 00:06:33,480 --> 00:06:36,520 Speaker 8: are focused on the compute aspect of things, and so 140 00:06:36,920 --> 00:06:39,080 Speaker 8: looking at AI, you know in video is a big 141 00:06:39,120 --> 00:06:41,400 Speaker 8: holding as well as Marvell and Broadcom. 142 00:06:42,600 --> 00:06:44,480 Speaker 7: On my view is that the compute. 143 00:06:44,120 --> 00:06:47,960 Speaker 8: Tam is growing significantly as the foundational models are kind 144 00:06:48,000 --> 00:06:51,800 Speaker 8: of growing exponentially every year, and so the chip Coneys 145 00:06:51,839 --> 00:06:54,120 Speaker 8: that had the scale, the expertise of tape out the 146 00:06:54,200 --> 00:06:57,080 Speaker 8: leading edge, you know, are I think going to be 147 00:06:57,120 --> 00:07:00,920 Speaker 8: advantageous in terms of capturing this compute TAM. So I think, 148 00:07:01,080 --> 00:07:04,560 Speaker 8: you know, I like the space long term. But you know, 149 00:07:04,600 --> 00:07:08,200 Speaker 8: we are selective in our in our holdings here, you know, 150 00:07:08,320 --> 00:07:10,720 Speaker 8: specifically those three especially well. 151 00:07:10,640 --> 00:07:13,400 Speaker 5: Let's talk about Marvel for example, would it be a 152 00:07:13,440 --> 00:07:17,440 Speaker 5: worry as the leader did jump ship to Intel. 153 00:07:18,000 --> 00:07:20,240 Speaker 8: Well, I think Matt Murphy has created created a ton 154 00:07:20,280 --> 00:07:23,160 Speaker 8: of value over the years. You look at when they 155 00:07:23,160 --> 00:07:25,960 Speaker 8: picked it up, it was in the sub ten billion 156 00:07:26,000 --> 00:07:29,960 Speaker 8: dollar mark cap, and he's over the years, I've done 157 00:07:29,960 --> 00:07:32,600 Speaker 8: a lot of great m and A and capital allocation, 158 00:07:33,320 --> 00:07:36,920 Speaker 8: spun businesses off, acquired a world class custom team that 159 00:07:37,040 --> 00:07:40,080 Speaker 8: is right now delivering a lot of AI custom uh 160 00:07:40,680 --> 00:07:44,600 Speaker 8: compute ships for like the likes of Amazon, for example, 161 00:07:44,680 --> 00:07:46,680 Speaker 8: and so you know, I think that it would be 162 00:07:46,680 --> 00:07:49,880 Speaker 8: a concern if you jump ship. I do think it's 163 00:07:49,920 --> 00:07:51,960 Speaker 8: it's uh, you know, He's put a lot of work 164 00:07:52,000 --> 00:07:52,640 Speaker 8: in to Marvell. 165 00:07:52,720 --> 00:07:53,200 Speaker 7: He's got a. 166 00:07:53,120 --> 00:07:55,920 Speaker 8: Great team there and they're kind of firing on all 167 00:07:55,960 --> 00:07:59,960 Speaker 8: cylinders coming out of the last few years. So you know, 168 00:08:00,760 --> 00:08:03,800 Speaker 8: from my perspective, it seems like he does have a 169 00:08:03,840 --> 00:08:05,360 Speaker 8: lot of good reasons. 170 00:08:04,920 --> 00:08:05,840 Speaker 7: To stay at Marvell. 171 00:08:06,120 --> 00:08:09,520 Speaker 8: And so I'm you know, I'm taking his word what 172 00:08:09,600 --> 00:08:12,160 Speaker 8: he said last night kind of face value here. 173 00:08:12,560 --> 00:08:14,880 Speaker 5: Looking at your top ten holdings, Marvel is one of 174 00:08:14,880 --> 00:08:17,200 Speaker 5: them at the end of October is about two percent 175 00:08:17,240 --> 00:08:19,280 Speaker 5: of the fund. The top holding is in video, as 176 00:08:19,280 --> 00:08:23,200 Speaker 5: you mentioned. Interestingly, we had as CEO Matt Garman on 177 00:08:23,240 --> 00:08:26,600 Speaker 5: the show Well on the pro across our network yesterday 178 00:08:26,640 --> 00:08:27,920 Speaker 5: and we're going to be playing out a bit of 179 00:08:27,960 --> 00:08:31,520 Speaker 5: that sound later. But Amazon is the best points contributor 180 00:08:31,960 --> 00:08:34,880 Speaker 5: to the NASDAC. Today they had a whole raft of 181 00:08:34,960 --> 00:08:38,160 Speaker 5: chip announcements. What does that mean for Invidia? What does 182 00:08:38,160 --> 00:08:41,199 Speaker 5: it mean in terms of their own customers building custom silicon? 183 00:08:41,880 --> 00:08:44,080 Speaker 8: Yeah, I think I don't think that story is anything new. 184 00:08:44,559 --> 00:08:48,079 Speaker 8: It's just generally the evolution of compute. Essentially, you have 185 00:08:48,160 --> 00:08:52,560 Speaker 8: the new workloads that need more general purpose in video chips, 186 00:08:52,559 --> 00:08:55,520 Speaker 8: and then over time, as the workloads get bigger and 187 00:08:55,920 --> 00:08:58,400 Speaker 8: they mature and stabilize, you kind of bring in the 188 00:08:58,440 --> 00:08:59,760 Speaker 8: custom compute. 189 00:08:59,760 --> 00:09:00,880 Speaker 7: And so, you know, I. 190 00:09:00,880 --> 00:09:03,280 Speaker 8: Think the two kind of coexists, and they have co 191 00:09:03,360 --> 00:09:07,120 Speaker 8: existed over the last decade, and so going forward, I 192 00:09:07,160 --> 00:09:10,000 Speaker 8: think of them as kind of you know, kind of 193 00:09:10,160 --> 00:09:13,600 Speaker 8: symbiotic relationship in some ways, and that it is just 194 00:09:13,640 --> 00:09:17,280 Speaker 8: an evidence that the chipped kind of TAM is increasing 195 00:09:17,320 --> 00:09:20,120 Speaker 8: in the compute TAM, and the demands continue to increase 196 00:09:21,040 --> 00:09:23,320 Speaker 8: because you the workloads are argating to be so big, 197 00:09:23,360 --> 00:09:25,760 Speaker 8: you it, then it makes sense to have a custom chip. 198 00:09:26,559 --> 00:09:29,680 Speaker 8: But you know, what's what's special is that, like you know, 199 00:09:29,760 --> 00:09:33,600 Speaker 8: previously kind of five ten years ago, we thought AI 200 00:09:33,720 --> 00:09:37,160 Speaker 8: would just be you know, subject to just only like 201 00:09:37,280 --> 00:09:39,440 Speaker 8: identifying what's a cat and what's not a cat. 202 00:09:39,960 --> 00:09:41,480 Speaker 7: I can mentioned. So now it's like. 203 00:09:41,559 --> 00:09:44,480 Speaker 8: Transformed into something that we no one could have thought 204 00:09:44,520 --> 00:09:45,400 Speaker 8: about or predicted. 205 00:09:45,440 --> 00:09:48,079 Speaker 7: So, you know, I think that it's just we've had 206 00:09:48,080 --> 00:09:48,960 Speaker 7: this debate. 207 00:09:48,640 --> 00:09:51,720 Speaker 8: Before of like but I think what you've seen is 208 00:09:51,720 --> 00:09:55,800 Speaker 8: that both kind of Nvidia and the custom chip providers 209 00:09:55,840 --> 00:09:57,960 Speaker 8: have done well as the TAMA has increased. 210 00:09:58,480 --> 00:10:01,640 Speaker 5: I am not a cat forever to be part of 211 00:10:02,000 --> 00:10:06,920 Speaker 5: Internet's story. What then, about in Vidia's valuation at these 212 00:10:07,040 --> 00:10:09,400 Speaker 5: levels You're talking about how finally we're getting the return 213 00:10:09,440 --> 00:10:12,040 Speaker 5: on investment from an application layer perspective of AI. We're 214 00:10:12,040 --> 00:10:14,280 Speaker 5: actually using it in our everyday life. While work life 215 00:10:14,559 --> 00:10:17,559 Speaker 5: can in video grow in terms of its own valuation, 216 00:10:17,640 --> 00:10:18,560 Speaker 5: Have we priced it all in? 217 00:10:18,880 --> 00:10:20,080 Speaker 7: Yeah, I think that's a great question. 218 00:10:20,120 --> 00:10:24,520 Speaker 8: I mean, three point three four trillion dollars that's marketcap 219 00:10:24,600 --> 00:10:28,120 Speaker 8: right now is pretty astounding. If you look at like 220 00:10:28,200 --> 00:10:31,000 Speaker 8: the profitability in the in the free cash flow, I mean, 221 00:10:31,040 --> 00:10:34,480 Speaker 8: it's kind of pretty reasonable, like thirty thirty five times 222 00:10:34,520 --> 00:10:38,840 Speaker 8: forward earnings, and so while the stock price has gone 223 00:10:38,920 --> 00:10:41,120 Speaker 8: up a lot, I think that when you look at evaluation, 224 00:10:41,240 --> 00:10:45,360 Speaker 8: it's not an extreme at one hundred times earnings, which 225 00:10:45,720 --> 00:10:48,800 Speaker 8: I think that says the market You're saying there is 226 00:10:48,840 --> 00:10:51,280 Speaker 8: a little bit of concern of like how sustainable the 227 00:10:51,360 --> 00:10:57,320 Speaker 8: numbers are, whether profitability can continue to be at these levels, 228 00:10:58,280 --> 00:11:00,160 Speaker 8: and so, you know, I think the valuation in that 229 00:11:00,240 --> 00:11:06,160 Speaker 8: face value is actually relatively moderate. You know, given its 230 00:11:06,240 --> 00:11:08,080 Speaker 8: history and its growth, it. 231 00:11:08,000 --> 00:11:09,880 Speaker 5: Is extraordinary just to take a step back and think 232 00:11:09,880 --> 00:11:11,400 Speaker 5: that on this day we're at a record high for 233 00:11:11,440 --> 00:11:13,560 Speaker 5: the NAST, that one hundred apples at a record high. 234 00:11:13,760 --> 00:11:16,559 Speaker 5: We've got Nvidia continuing to rise in terms of market cap, 235 00:11:16,960 --> 00:11:20,720 Speaker 5: and then you have the salesforce numbers and its own 236 00:11:20,800 --> 00:11:23,560 Speaker 5: record high in terms of share price today, what do 237 00:11:23,600 --> 00:11:26,760 Speaker 5: you make of their application of AI agent force and 238 00:11:26,800 --> 00:11:29,800 Speaker 5: whether actually it's going to make the more profitable as 239 00:11:29,840 --> 00:11:31,199 Speaker 5: well as getting revenue off the ground. 240 00:11:31,880 --> 00:11:34,560 Speaker 8: Yeah, I think it's an exciting time in tech in 241 00:11:34,800 --> 00:11:39,239 Speaker 8: that you know, AI could be this next productivity revolution 242 00:11:39,559 --> 00:11:42,760 Speaker 8: and so, you know, kind of uncapping labor as we 243 00:11:42,800 --> 00:11:46,520 Speaker 8: know it with digital agents and digital labor that essentially 244 00:11:46,520 --> 00:11:48,439 Speaker 8: doesn't need a sleep, doesn't need to take breaks, operate 245 00:11:48,520 --> 00:11:51,960 Speaker 8: twenty four to seven, and can operate alongside humans. 246 00:11:52,040 --> 00:11:53,560 Speaker 7: And so I think that's what's really exciting. 247 00:11:53,600 --> 00:11:57,760 Speaker 8: And all these software companies are now kind of seeing 248 00:11:57,800 --> 00:12:01,280 Speaker 8: the opportunity and going after and everyone wants to be 249 00:12:01,280 --> 00:12:05,040 Speaker 8: the platform where you soar your data, you operate and 250 00:12:05,080 --> 00:12:08,560 Speaker 8: so whether that's Mirosoft Service now you know, Salesforce, like 251 00:12:08,679 --> 00:12:10,840 Speaker 8: I think it's a bigger opportunity. And so we've kind 252 00:12:10,840 --> 00:12:14,599 Speaker 8: of seen, you know, the first year of chativity or 253 00:12:14,640 --> 00:12:20,120 Speaker 8: to be dominated by the chip companies like Invidia dominate 254 00:12:20,240 --> 00:12:23,240 Speaker 8: infrastructure layer and so now I think that we're seeing 255 00:12:23,240 --> 00:12:26,040 Speaker 8: it on the appware, which is really exciting because you 256 00:12:26,160 --> 00:12:28,440 Speaker 8: need to see it in the appwere for kind of 257 00:12:28,480 --> 00:12:31,720 Speaker 8: the chip companies to continue doing well, and you know, 258 00:12:31,760 --> 00:12:33,200 Speaker 8: I think we are kind of seeing that in the 259 00:12:33,240 --> 00:12:34,319 Speaker 8: last kind of earning season. 260 00:12:35,040 --> 00:12:37,720 Speaker 5: Get we've seen that shift, as you say, movement from 261 00:12:37,840 --> 00:12:41,880 Speaker 5: all in on chips then shifting into software. But boy, 262 00:12:41,960 --> 00:12:43,679 Speaker 5: is it playing out in some of the valuations. I'm 263 00:12:43,720 --> 00:12:46,160 Speaker 5: looking at Palenteer training at one hundred and eighty times 264 00:12:46,160 --> 00:12:49,559 Speaker 5: future earnings that had been the darling of the AI story. 265 00:12:50,040 --> 00:12:52,760 Speaker 5: Will other companies rip to to get to those sorts 266 00:12:52,800 --> 00:12:56,400 Speaker 5: of valuation levels or is Palenteers overdone as well? You 267 00:12:56,880 --> 00:12:59,640 Speaker 5: talk about how are at this crucial moment where AI 268 00:12:59,679 --> 00:13:01,679 Speaker 5: is going to disrupt the workforce, But I feel that 269 00:13:01,720 --> 00:13:03,360 Speaker 5: the market's been trying to price that in for quite 270 00:13:03,400 --> 00:13:03,760 Speaker 5: a while. 271 00:13:04,800 --> 00:13:05,040 Speaker 7: Yeah. 272 00:13:05,080 --> 00:13:08,280 Speaker 8: Absolutely, and I think that not every company can be 273 00:13:08,400 --> 00:13:10,480 Speaker 8: like what Paluneer is doing. I think to do AI 274 00:13:10,600 --> 00:13:13,720 Speaker 8: is really really hard, and they've been the AI leader 275 00:13:13,880 --> 00:13:16,120 Speaker 8: for the last decade, and I think I think of 276 00:13:16,160 --> 00:13:20,760 Speaker 8: them bringing AI to the government and the the the enterprise, 277 00:13:20,840 --> 00:13:23,240 Speaker 8: and so I think what's special about them is that 278 00:13:23,240 --> 00:13:27,160 Speaker 8: they've got this like very centralized ontology for AI, and 279 00:13:27,200 --> 00:13:30,960 Speaker 8: then they can kind of customize that for clients and 280 00:13:30,960 --> 00:13:32,040 Speaker 8: clients can build on that. 281 00:13:32,160 --> 00:13:33,760 Speaker 7: So I think them as like a platform. 282 00:13:33,840 --> 00:13:35,800 Speaker 8: And you think about what the United States government is 283 00:13:35,800 --> 00:13:38,760 Speaker 8: trying to doing now is to be more efficient, and 284 00:13:38,760 --> 00:13:42,200 Speaker 8: part of that is bringing AI and technology to automate 285 00:13:42,240 --> 00:13:46,920 Speaker 8: things and to modernize people's peoples are processing and data. 286 00:13:46,960 --> 00:13:50,240 Speaker 8: And so I don't think every company can be like Puenteer. 287 00:13:50,360 --> 00:13:53,680 Speaker 8: I think there's like some special ones in kind of 288 00:13:53,679 --> 00:13:57,800 Speaker 8: the AI software kind of madcaps area, like you know, 289 00:13:57,880 --> 00:14:00,720 Speaker 8: kind of like app love in for example, or AX, 290 00:14:00,880 --> 00:14:03,600 Speaker 8: and I like, you know, where there's like specific vertical 291 00:14:03,640 --> 00:14:07,079 Speaker 8: application where AI can be applied and really drive a 292 00:14:07,120 --> 00:14:09,400 Speaker 8: lot of automation and in intelligence. 293 00:14:10,040 --> 00:14:11,640 Speaker 5: I love that you take us out to some of 294 00:14:11,679 --> 00:14:14,720 Speaker 5: the different names as well. Tenuang of t row Price 295 00:14:14,880 --> 00:14:15,719 Speaker 5: brilliant to have you one. 296 00:14:15,760 --> 00:14:16,120 Speaker 4: Thank you. 297 00:14:24,400 --> 00:14:29,280 Speaker 5: Last week, Bloomberg reported that the FTC is investigating into Microsoft, 298 00:14:29,600 --> 00:14:32,760 Speaker 5: which is focusing on how the tech Giant is bundling 299 00:14:32,840 --> 00:14:36,080 Speaker 5: its Windows operating system with other software as well as 300 00:14:36,120 --> 00:14:40,320 Speaker 5: its dominance in cybersecurity. Now reports from the Information are 301 00:14:40,360 --> 00:14:42,840 Speaker 5: saying that the agency is asking about Microsoft steel with 302 00:14:42,920 --> 00:14:46,160 Speaker 5: open Ai, which grants the course the cloud giant exclusive 303 00:14:46,240 --> 00:14:49,000 Speaker 5: right to run the startup models on the cloud servers, as. 304 00:14:48,880 --> 00:14:51,840 Speaker 4: Well as of the company's revenue and trust. 305 00:14:51,880 --> 00:14:54,440 Speaker 5: Lawyer David Belto shows us now he previously worked as 306 00:14:54,480 --> 00:14:57,400 Speaker 5: former policy director of the FTC's Bureau of Competition, someone 307 00:14:57,400 --> 00:14:59,400 Speaker 5: who's well versed in how long these. 308 00:14:59,160 --> 00:15:01,600 Speaker 4: Investigations could go on and with what right they take. 309 00:15:02,000 --> 00:15:04,760 Speaker 5: So the way which the FDC is pursuing Microsoft, does 310 00:15:04,800 --> 00:15:06,040 Speaker 5: it seem significant to you? 311 00:15:06,360 --> 00:15:09,360 Speaker 2: I think it's very important. You know, that Microsoft case 312 00:15:09,440 --> 00:15:12,240 Speaker 2: brought by the Department of Justice in the late nineteen 313 00:15:12,280 --> 00:15:16,480 Speaker 2: nineties was critical to the expansion and growth of the Internet. 314 00:15:16,600 --> 00:15:20,600 Speaker 2: Many of the things that we benefit from in competition 315 00:15:20,680 --> 00:15:24,280 Speaker 2: on the Internet are specifically because of that earlier case. 316 00:15:24,720 --> 00:15:28,400 Speaker 5: What's interesting is, of course we've heard back from the 317 00:15:28,440 --> 00:15:32,400 Speaker 5: Microsoft Deputy General Council Ruma Ali, who put on LinkedIn 318 00:15:32,640 --> 00:15:35,640 Speaker 5: saying on behalf of Microsoft, the FDC Inspector General to 319 00:15:35,680 --> 00:15:40,440 Speaker 5: investigate whether the FDC management improperly leaked confidential information about 320 00:15:40,440 --> 00:15:44,840 Speaker 5: a potential anti trust investigation. How do you see these 321 00:15:44,840 --> 00:15:49,320 Speaker 5: sorts of investigations involving and becoming publicly known before Indeed, 322 00:15:49,520 --> 00:15:52,560 Speaker 5: Microsoft has a chance to ultimately lead the way here. 323 00:15:53,040 --> 00:15:56,720 Speaker 2: I'm extraordinarily skeptical about whether or not the agency would 324 00:15:57,680 --> 00:15:59,840 Speaker 2: there would be some kind of leak from the agency. 325 00:16:00,240 --> 00:16:06,400 Speaker 2: That's extraordinarily unusual. Third parties, however, who receive civil investigative 326 00:16:06,440 --> 00:16:10,360 Speaker 2: demands can disclose whatever they want, and maybe this is 327 00:16:10,360 --> 00:16:14,000 Speaker 2: a situation where one of those parties disclosed information to 328 00:16:14,080 --> 00:16:18,040 Speaker 2: the press about the requests it had received from the TC. 329 00:16:19,120 --> 00:16:20,600 Speaker 4: Of course, this is wide ranging. 330 00:16:20,640 --> 00:16:23,040 Speaker 5: It would see Bloomberg initially reporting on how it's going 331 00:16:23,080 --> 00:16:25,200 Speaker 5: to be focusing on the way they intertwine their operating 332 00:16:25,280 --> 00:16:28,640 Speaker 5: system and also their dominance and cybersecurity. Now the information 333 00:16:28,720 --> 00:16:31,160 Speaker 5: talking about the open Ai Microsoft deal, I want to 334 00:16:31,160 --> 00:16:32,800 Speaker 5: just take a listen to a conversation I have with 335 00:16:32,840 --> 00:16:36,520 Speaker 5: the AWS CEO yesterday, Matt Garmon talking about how he'd 336 00:16:36,560 --> 00:16:40,080 Speaker 5: like to offer his own AWS clients access to open 337 00:16:40,120 --> 00:16:41,680 Speaker 5: aiye models but can't at the moment. 338 00:16:41,720 --> 00:16:42,320 Speaker 4: Just take a listen. 339 00:16:42,920 --> 00:16:45,640 Speaker 3: I believe that we would love open ai models inside 340 00:16:45,640 --> 00:16:50,000 Speaker 3: of aws. Absolutely, it's we listen to our customers and 341 00:16:50,040 --> 00:16:51,440 Speaker 3: if that's something the customers want. 342 00:16:51,320 --> 00:16:52,200 Speaker 7: We're absolutely game. 343 00:16:52,760 --> 00:16:55,360 Speaker 3: Obviously, with the partnership, it takes multiple sources, and there's 344 00:16:55,400 --> 00:16:58,040 Speaker 3: probably some complexities in there, as you allude to, but 345 00:16:58,720 --> 00:17:00,840 Speaker 3: I think in the fullness of time as likely. 346 00:17:00,760 --> 00:17:01,200 Speaker 7: Is the case. 347 00:17:01,840 --> 00:17:04,560 Speaker 5: So there in lies some of the issue that maybe 348 00:17:04,560 --> 00:17:08,600 Speaker 5: the FTC is investigating this relationship with open Ai Microsoft 349 00:17:08,680 --> 00:17:11,040 Speaker 5: and whether it should be indeed broken open a little. 350 00:17:11,080 --> 00:17:14,119 Speaker 5: It seems as though Matt Garman is positive that it will. 351 00:17:14,200 --> 00:17:17,080 Speaker 5: Do you think that ultimately that be done by self 352 00:17:17,119 --> 00:17:19,160 Speaker 5: regulation or actual FTC regulation. 353 00:17:20,320 --> 00:17:22,239 Speaker 2: No, I think the FTC is going to take a 354 00:17:22,280 --> 00:17:26,159 Speaker 2: serious look at this relationship and the potential of that 355 00:17:26,359 --> 00:17:32,280 Speaker 2: relationship to foreclose other forms of competition other rivals. They're 356 00:17:32,320 --> 00:17:35,000 Speaker 2: going to take a very close look at the nature 357 00:17:35,080 --> 00:17:38,440 Speaker 2: of the agreement between open ai and Microsoft. 358 00:17:39,480 --> 00:17:42,160 Speaker 5: Do you think though, that a lot of these cloud 359 00:17:42,200 --> 00:17:46,840 Speaker 5: companies are having particular relationships with some of these very 360 00:17:46,880 --> 00:17:50,040 Speaker 5: powerful generative AI models. Is that something that's generally going 361 00:17:50,040 --> 00:17:51,160 Speaker 5: to be looked at across the board. 362 00:17:52,600 --> 00:17:56,520 Speaker 2: Yes, but it's always important to realize that Microsoft is dominant. 363 00:17:56,600 --> 00:18:01,200 Speaker 2: They're dominant in cloud computing, they're dominant in certain software categories, 364 00:18:01,280 --> 00:18:05,119 Speaker 2: vital software categories, and when the firm takes that dominance 365 00:18:05,400 --> 00:18:08,800 Speaker 2: and extends that dominance to other product markets and for 366 00:18:08,880 --> 00:18:13,840 Speaker 2: closes competition in those markets, that violates the antitrust laws. 367 00:18:14,080 --> 00:18:17,280 Speaker 5: I feel though AWS would have something to say about 368 00:18:17,359 --> 00:18:19,639 Speaker 5: as you're being all that dominant. They feel that they 369 00:18:19,640 --> 00:18:21,680 Speaker 5: have owned a lot of the market. I'm sure that 370 00:18:22,119 --> 00:18:24,920 Speaker 5: even other areas Oracle fields that they've got a key 371 00:18:24,960 --> 00:18:29,760 Speaker 5: state Google as well. Can you have broader provision less 372 00:18:29,800 --> 00:18:35,960 Speaker 5: oligopoly like cloud operations when this ultimately is incredibly expensive 373 00:18:35,960 --> 00:18:36,399 Speaker 5: to offer. 374 00:18:38,400 --> 00:18:40,960 Speaker 2: I think that's one of the considerations that's kept in 375 00:18:41,000 --> 00:18:44,960 Speaker 2: mind here. But we see many markets where there are 376 00:18:44,960 --> 00:18:52,560 Speaker 2: not contractual arrangements that for closed competition, where competition flourishes. 377 00:18:52,920 --> 00:18:57,360 Speaker 2: And it's specifically those arrangements like the arrangement between Microsoft 378 00:18:57,640 --> 00:19:01,920 Speaker 2: and open Ai that will receive in ten scrutiny. And 379 00:19:02,680 --> 00:19:07,120 Speaker 2: you know, especially because Microsoft is so dominant in cloud. 380 00:19:06,840 --> 00:19:12,120 Speaker 5: Computing and dominant in cybersecurity and in many ways they're 381 00:19:12,200 --> 00:19:15,600 Speaker 5: reporting is such that this investigation started because some of 382 00:19:15,640 --> 00:19:18,960 Speaker 5: the failings to do with cyber when it came to 383 00:19:19,480 --> 00:19:22,639 Speaker 5: federal provision is that what sparked all of this, David, 384 00:19:22,680 --> 00:19:24,040 Speaker 5: how do you think this is going to weather a 385 00:19:24,080 --> 00:19:25,680 Speaker 5: transition into a new administration? 386 00:19:28,000 --> 00:19:31,360 Speaker 2: First of all, that suggests one of the real advantages 387 00:19:31,400 --> 00:19:34,520 Speaker 2: of having a federal Trade Commission that deals with both 388 00:19:34,560 --> 00:19:39,439 Speaker 2: consumer protection issues. They are failure to provide cybersecurity adequately 389 00:19:39,880 --> 00:19:43,919 Speaker 2: and competition issues. I think this is an investigation that 390 00:19:44,080 --> 00:19:48,800 Speaker 2: won't lose any steam in a new Trump administration. The 391 00:19:50,080 --> 00:19:54,200 Speaker 2: kinds of legal issues here about when bundling is legal 392 00:19:54,280 --> 00:19:57,680 Speaker 2: and illegal. I think there's a pretty strong consensus between 393 00:19:57,720 --> 00:20:01,679 Speaker 2: Republican and Democratic and I try some forcers, so I 394 00:20:01,760 --> 00:20:06,480 Speaker 2: expect this investigation will go full throughout in the next administration. 395 00:20:07,280 --> 00:20:10,639 Speaker 5: David Balto, former Policy director of the Bureau of Competition 396 00:20:10,840 --> 00:20:13,960 Speaker 5: at the FTC, thank you for your time. Now coming up, 397 00:20:14,240 --> 00:20:16,560 Speaker 5: David Ellison is dying big changes to Paramount. 398 00:20:16,680 --> 00:20:39,720 Speaker 4: We're on that next. This has pretty big technology time 399 00:20:39,760 --> 00:20:40,560 Speaker 4: now for talking tech. 400 00:20:40,600 --> 00:20:43,400 Speaker 5: First up, big changes may be coming to Paramount Global. 401 00:20:43,520 --> 00:20:47,200 Speaker 5: According to sources, expected CEO David Ellison is exploring combining 402 00:20:47,200 --> 00:20:50,800 Speaker 5: Paramount's TV units, investing more into streaming, and overhauling its 403 00:20:50,840 --> 00:20:53,240 Speaker 5: top management. This is all expected to come when it's 404 00:20:53,320 --> 00:20:57,119 Speaker 5: merged with Skydance. It's finalized next year. Plus Meta is 405 00:20:57,119 --> 00:21:00,119 Speaker 5: looking towards nuclear energy to fuel its AI ambitions. The 406 00:21:00,119 --> 00:21:02,960 Speaker 5: parent company of Facebook is asking developers to submit proposals 407 00:21:03,000 --> 00:21:06,640 Speaker 5: to deliver one to four gigawatt's reactors, studying in early 408 00:21:06,680 --> 00:21:09,840 Speaker 5: twenty thirty. For scale, one gigawa of electricity is enough 409 00:21:09,840 --> 00:21:13,840 Speaker 5: to power seven and fifty thousand typical homes and millionaires. 410 00:21:13,880 --> 00:21:17,080 Speaker 5: Ab O'Neil's Iliad is set to sell half of its 411 00:21:17,160 --> 00:21:21,480 Speaker 5: data center business to French infrastructure fund INFRA via Capital. 412 00:21:21,119 --> 00:21:23,840 Speaker 4: Partners, and the company is in exclusive. 413 00:21:23,359 --> 00:21:26,000 Speaker 5: Talks to sell fifty percent stake in iLiad's Opcore for 414 00:21:26,080 --> 00:21:29,159 Speaker 5: total enterprise value of nine hundred and four million dollars. 415 00:21:30,040 --> 00:21:32,480 Speaker 5: Coming up plenty more when it comes to data centers. 416 00:21:32,560 --> 00:21:36,439 Speaker 5: My conversation with Amazon Web Services CEO Matt Garmon on 417 00:21:36,480 --> 00:21:40,080 Speaker 5: the company's major plans for AI. What's going to power it? 418 00:21:40,320 --> 00:21:54,879 Speaker 5: That's next? This is Blue Meg Technology. Welcome back to 419 00:21:54,920 --> 00:21:57,280 Speaker 5: Blue Meg Technology. I'm Caroline Hide, New York. A quick 420 00:21:57,320 --> 00:22:00,439 Speaker 5: check on these markets that are at new record highs. 421 00:22:00,560 --> 00:22:03,080 Speaker 5: The NASDAK, the S and P five hundred apples at 422 00:22:03,080 --> 00:22:04,719 Speaker 5: a record, Amazon's at a record. 423 00:22:04,880 --> 00:22:06,160 Speaker 4: You've got across the board. 424 00:22:06,359 --> 00:22:08,639 Speaker 5: The key companies that are coming out with earnings also 425 00:22:09,280 --> 00:22:11,960 Speaker 5: raising to new record highs Marvel coming out with its 426 00:22:12,000 --> 00:22:14,000 Speaker 5: numbers that beaten raise and we see it at. 427 00:22:13,920 --> 00:22:15,480 Speaker 4: A record high, and so is Salesforce. 428 00:22:15,520 --> 00:22:17,479 Speaker 5: So move on as the Nazaq one hundred goes up 429 00:22:17,560 --> 00:22:19,760 Speaker 5: nine tens percent, we in large part are being helped 430 00:22:19,760 --> 00:22:22,520 Speaker 5: by the latest numbers that out of CRM, Salesforce up 431 00:22:22,640 --> 00:22:25,840 Speaker 5: nine percent. Of course, its third quarter earnings looking strong. 432 00:22:26,200 --> 00:22:29,159 Speaker 5: This is his AI agent Force comes through with a 433 00:22:29,200 --> 00:22:31,600 Speaker 5: bang that adding thousand people to go out and sell 434 00:22:31,640 --> 00:22:34,520 Speaker 5: this in particular. But we're seeing eight percent growth in 435 00:22:34,600 --> 00:22:37,240 Speaker 5: their earnings as well in terms of revenue. Let's break 436 00:22:37,280 --> 00:22:40,000 Speaker 5: it all down with Bloomberg Intelligence analyst Anna rag Rana, 437 00:22:40,160 --> 00:22:43,359 Speaker 5: and I mean many were questioning the valuation the share 438 00:22:43,400 --> 00:22:46,359 Speaker 5: price of Salesforce going into this earnings report, but they 439 00:22:46,440 --> 00:22:47,399 Speaker 5: managed to vindicate it. 440 00:22:48,400 --> 00:22:51,320 Speaker 9: Yeah, Caroline, if you look at the results, the margin 441 00:22:51,440 --> 00:22:54,880 Speaker 9: number was above expectations, but other than that, everything else 442 00:22:55,000 --> 00:22:57,760 Speaker 9: was generally in line to what people were expecting. But 443 00:22:57,840 --> 00:23:00,560 Speaker 9: I think the real push is people are really buying 444 00:23:01,160 --> 00:23:05,359 Speaker 9: Mark Bennehoff's agent for story and the potential for that 445 00:23:05,600 --> 00:23:07,720 Speaker 9: down the road to add revenue. You know, it's not 446 00:23:07,760 --> 00:23:09,760 Speaker 9: going to add revenue for the next twelve months to 447 00:23:09,800 --> 00:23:12,040 Speaker 9: a point where it's going to move the needle. But 448 00:23:12,119 --> 00:23:14,760 Speaker 9: I think after that it should start to add, you know, 449 00:23:14,880 --> 00:23:17,280 Speaker 9: a good momentum to the overall revenue base. 450 00:23:17,600 --> 00:23:20,320 Speaker 5: Executive VP Mike Spence is saying it was quote a 451 00:23:20,359 --> 00:23:22,880 Speaker 5: good number of the amount of deals that they signed 452 00:23:23,119 --> 00:23:24,000 Speaker 5: with Agent Force. 453 00:23:24,080 --> 00:23:25,560 Speaker 4: What does a good numbers look like? 454 00:23:25,640 --> 00:23:28,000 Speaker 9: Do you think, yeah, on the call they said something 455 00:23:28,000 --> 00:23:30,160 Speaker 9: about two hundred deals or so. But at the same time, 456 00:23:30,200 --> 00:23:32,640 Speaker 9: those two hundred deals are not moving the needle when 457 00:23:32,640 --> 00:23:34,920 Speaker 9: it comes to the bookings data, and we don't think 458 00:23:34,960 --> 00:23:37,160 Speaker 9: that's going to happen. I think what you're seeing right 459 00:23:37,200 --> 00:23:39,800 Speaker 9: now is a lot of value realization by the street 460 00:23:39,840 --> 00:23:42,840 Speaker 9: that says, Okay, at the end of the day, Salesforce 461 00:23:42,920 --> 00:23:45,600 Speaker 9: is going to be a net beneficiary of GENNI. I 462 00:23:45,600 --> 00:23:49,200 Speaker 9: think this is the biggest discussion around almost the entire 463 00:23:49,280 --> 00:23:52,680 Speaker 9: software space, is what companies will benefit over the next 464 00:23:52,680 --> 00:23:55,239 Speaker 9: two to three years or longer and which one's going 465 00:23:55,280 --> 00:23:57,320 Speaker 9: to be you know, not so much. And I think 466 00:23:57,320 --> 00:24:00,280 Speaker 9: that's where salesforces people are getting convinced that, you know, 467 00:24:00,320 --> 00:24:02,600 Speaker 9: they have their act together because previously. 468 00:24:02,600 --> 00:24:05,080 Speaker 5: People are worried about that act, right arag We were 469 00:24:05,160 --> 00:24:08,320 Speaker 5: seeing a concern about Mark Beniov's desire to keep on 470 00:24:08,400 --> 00:24:11,919 Speaker 5: doing M and A, perhaps not thinking about profitability. They 471 00:24:12,000 --> 00:24:14,920 Speaker 5: made big layoffs, they've streamlined the business, but then they're 472 00:24:14,920 --> 00:24:17,720 Speaker 5: still splashing three and forty four million dollars on zoom 473 00:24:17,720 --> 00:24:19,159 Speaker 5: In's startup acquisition. 474 00:24:19,680 --> 00:24:21,800 Speaker 4: Do you still like them adding on tucking in when 475 00:24:21,800 --> 00:24:22,120 Speaker 4: they can. 476 00:24:23,119 --> 00:24:25,560 Speaker 9: Yeah, the small acquisitions don't bother me one bit because 477 00:24:25,560 --> 00:24:28,760 Speaker 9: that doesn't really impact the free cash flow. It's really 478 00:24:28,800 --> 00:24:31,600 Speaker 9: the big ones that worry because that's going to change 479 00:24:31,640 --> 00:24:34,679 Speaker 9: the momentum of the margin improvement. You know, we just 480 00:24:34,760 --> 00:24:37,080 Speaker 9: looked at it the day he announced that it's not 481 00:24:37,119 --> 00:24:38,479 Speaker 9: going to be any more M and A, it's going 482 00:24:38,520 --> 00:24:42,240 Speaker 9: to focus on margins. Just from that point till today, 483 00:24:42,680 --> 00:24:45,520 Speaker 9: their margins have gone up by ten percentage points. That's 484 00:24:45,560 --> 00:24:49,160 Speaker 9: a very big number by any standard, And frankly speaking, 485 00:24:49,160 --> 00:24:52,280 Speaker 9: when you look at a company like Microsoft or Oracle, 486 00:24:52,680 --> 00:24:54,760 Speaker 9: salesforce has a long way to go before it can 487 00:24:54,800 --> 00:24:57,679 Speaker 9: reach those numbers. So there is still more potential for 488 00:24:57,800 --> 00:25:00,640 Speaker 9: margin improvement. As long as they they can get their 489 00:25:00,720 --> 00:25:03,320 Speaker 9: organic growth rate up, you know, people will like it. 490 00:25:03,880 --> 00:25:06,640 Speaker 5: Operating margin I think coming in at about thirty three 491 00:25:06,680 --> 00:25:07,560 Speaker 5: point one percent. 492 00:25:07,680 --> 00:25:10,000 Speaker 4: And what of Microsoft, what of. 493 00:25:10,119 --> 00:25:14,280 Speaker 5: Competitors in this agent offering and co pilot offering that 494 00:25:14,320 --> 00:25:15,240 Speaker 5: we hear so much about. 495 00:25:16,600 --> 00:25:18,919 Speaker 9: So when you look at Salesforce, the two of their 496 00:25:18,960 --> 00:25:22,480 Speaker 9: biggest products are sales Cloud and service Cloud. Service Cloud 497 00:25:22,600 --> 00:25:25,399 Speaker 9: is a lot to depend on people who are looking at, 498 00:25:25,960 --> 00:25:29,399 Speaker 9: you know, back office and customer support functions. This is 499 00:25:29,440 --> 00:25:32,600 Speaker 9: where the agents are really going to benefit because think 500 00:25:32,640 --> 00:25:35,560 Speaker 9: about it, if you are calling a human to get 501 00:25:35,640 --> 00:25:38,280 Speaker 9: transaction done or taking care of your work, it's going 502 00:25:38,320 --> 00:25:40,840 Speaker 9: to cost the company or the end market, whether it's 503 00:25:40,840 --> 00:25:43,280 Speaker 9: an airline or a phone company, a lot of money. 504 00:25:43,680 --> 00:25:46,400 Speaker 9: If you can get that done through an automated chat 505 00:25:46,440 --> 00:25:49,840 Speaker 9: pot that can actually execute the operation for you, that 506 00:25:49,880 --> 00:25:53,000 Speaker 9: can change your phone plan without getting a human being involved, 507 00:25:53,080 --> 00:25:55,600 Speaker 9: that can return your stuff and refund you the money 508 00:25:55,840 --> 00:25:58,720 Speaker 9: before you know, without getting any human involved in it. 509 00:25:58,960 --> 00:26:01,400 Speaker 9: That's a very big cost benefit for the end customer. 510 00:26:01,680 --> 00:26:04,440 Speaker 9: And that's really where Salesforce is going right now. 511 00:26:04,520 --> 00:26:08,440 Speaker 5: Through meg Intelligence analyst Anna Ragrana, thank you so much. 512 00:26:08,720 --> 00:26:10,240 Speaker 4: Talking of application of AI. 513 00:26:10,600 --> 00:26:13,879 Speaker 5: Amazon It's trading at a record high today after its 514 00:26:13,920 --> 00:26:18,240 Speaker 5: cloud divisions annual Reinvent conference and it rolled out there yesterday. 515 00:26:18,520 --> 00:26:21,199 Speaker 5: Powerful new chip arrays a large language model to compete 516 00:26:21,240 --> 00:26:25,159 Speaker 5: with leading rivals. Mark Garman Awico joined us after his 517 00:26:25,200 --> 00:26:28,720 Speaker 5: stage appearance and we started discussing the massive cluster of 518 00:26:28,800 --> 00:26:32,439 Speaker 5: homegrown chips. He says, we'll quintuple the processing path for 519 00:26:32,480 --> 00:26:33,960 Speaker 5: its AI partner, Anthropic. 520 00:26:33,960 --> 00:26:34,520 Speaker 4: Take a listen. 521 00:26:35,359 --> 00:26:38,800 Speaker 3: That is the first innovation is our Amazon designed custom 522 00:26:38,840 --> 00:26:44,200 Speaker 3: silicon that gives us really unparalleled performance for generative AIA capabilities. 523 00:26:44,400 --> 00:26:47,200 Speaker 3: And then we build these together with high performance networking 524 00:26:47,200 --> 00:26:49,800 Speaker 3: that we also build in house. And then of course 525 00:26:49,800 --> 00:26:53,680 Speaker 3: they'll be cooling and heating and power that we need 526 00:26:53,960 --> 00:26:55,919 Speaker 3: to go to go build the data centers. But it 527 00:26:55,960 --> 00:26:58,480 Speaker 3: really starts with that silicon down at the level, and 528 00:26:58,520 --> 00:27:01,199 Speaker 3: we innovate on the entire back of AI to make 529 00:27:01,240 --> 00:27:03,840 Speaker 3: sure that we can control everything that goes into those clusters. 530 00:27:04,040 --> 00:27:05,639 Speaker 4: Can you talk to us a little bit compare and 531 00:27:05,680 --> 00:27:06,520 Speaker 4: contrast here. 532 00:27:06,720 --> 00:27:10,040 Speaker 5: This is about less dependency on Nvidio GPUs too many 533 00:27:10,040 --> 00:27:13,439 Speaker 5: ways doing an alternative for your clients. What sort of 534 00:27:13,480 --> 00:27:16,000 Speaker 5: cost saving will clients get? What sort of energy and 535 00:27:16,040 --> 00:27:17,120 Speaker 5: efficiency will they get? 536 00:27:18,400 --> 00:27:18,640 Speaker 7: Yeah? 537 00:27:18,640 --> 00:27:20,200 Speaker 3: Well, first of all, I think we like to think 538 00:27:20,240 --> 00:27:22,639 Speaker 3: of it as a supplement to in video GPUs and 539 00:27:22,720 --> 00:27:25,280 Speaker 3: Vidia has a fantastic product that team has done an 540 00:27:25,320 --> 00:27:28,439 Speaker 3: outstanding job executing, and we think that the vast majority 541 00:27:28,480 --> 00:27:30,400 Speaker 3: of workloads are going to continue to run in VideA 542 00:27:30,400 --> 00:27:33,320 Speaker 3: processors for a long time. But customers want choice, and 543 00:27:33,320 --> 00:27:36,120 Speaker 3: they want choice that can give them some lower cost options, 544 00:27:36,240 --> 00:27:39,160 Speaker 3: and we think that for certain workloads, for many workloads, 545 00:27:39,160 --> 00:27:42,639 Speaker 3: Trainium two can give customers thirty to forty percent cost 546 00:27:42,640 --> 00:27:47,040 Speaker 3: performance benefits over today's GPU powered instances. And so we 547 00:27:47,080 --> 00:27:49,520 Speaker 3: think that that's a huge win for customers, particularly as 548 00:27:49,520 --> 00:27:52,280 Speaker 3: they're looking to lower the cost from Generator I workloads. 549 00:27:52,560 --> 00:27:55,040 Speaker 3: But we'll be great partners with Nvidia and continue to 550 00:27:55,119 --> 00:27:57,720 Speaker 3: lean in on building great technologies together with them for 551 00:27:57,760 --> 00:27:58,240 Speaker 3: a long time. 552 00:27:58,640 --> 00:28:02,040 Speaker 5: Train to Trainium two available, Training three in the works, 553 00:28:02,080 --> 00:28:05,000 Speaker 5: and all of this is as Nvidia at the moment, 554 00:28:05,240 --> 00:28:08,399 Speaker 5: it's estimated has about ninety five percent market shared. Do 555 00:28:08,440 --> 00:28:09,879 Speaker 5: you agree with that sort of number they have and 556 00:28:09,960 --> 00:28:11,480 Speaker 5: what sort of area do you think that that will 557 00:28:11,480 --> 00:28:12,000 Speaker 5: come down to? 558 00:28:13,119 --> 00:28:14,919 Speaker 3: Yeah, I mean, I think it's probably higher than that. 559 00:28:14,920 --> 00:28:17,439 Speaker 3: I think that the vast majority of workloads in generative 560 00:28:17,480 --> 00:28:22,399 Speaker 3: AI today run on in Vidia technology and they've absolutely 561 00:28:22,480 --> 00:28:24,760 Speaker 3: been the leaders in that space. But we do think 562 00:28:24,800 --> 00:28:27,280 Speaker 3: we hear from customers that they want choice, and just 563 00:28:27,359 --> 00:28:30,560 Speaker 3: with our processors where we're type partners with Intel and 564 00:28:30,600 --> 00:28:33,120 Speaker 3: with AMD, but we decided to go build a general 565 00:28:33,160 --> 00:28:36,359 Speaker 3: purpose processor called Graviton, and it's been hugely successful with 566 00:28:36,400 --> 00:28:38,960 Speaker 3: our customers. But we also provide lots of Intel and 567 00:28:39,040 --> 00:28:42,120 Speaker 3: lots of AMD processors in our cloud today and those 568 00:28:42,160 --> 00:28:45,800 Speaker 3: businesses continue to grow. So I expect that our usage 569 00:28:45,800 --> 00:28:49,040 Speaker 3: of Nvidia will continue to grow from our customers and 570 00:28:49,520 --> 00:28:51,600 Speaker 3: that choice is really going to be powerful. And as 571 00:28:51,640 --> 00:28:54,600 Speaker 3: you see this explosion of generative AI usage, I think 572 00:28:54,640 --> 00:28:57,160 Speaker 3: there's going to be plenty of business for multiple different 573 00:28:57,160 --> 00:28:58,160 Speaker 3: people to be successful. 574 00:28:58,280 --> 00:29:00,880 Speaker 5: I keep partners Intel. How concerned have you've been about 575 00:29:00,880 --> 00:29:01,640 Speaker 5: the change at the top? 576 00:29:03,200 --> 00:29:03,760 Speaker 7: Oh, it's okay. 577 00:29:03,880 --> 00:29:04,800 Speaker 3: I wish pat the best. 578 00:29:05,200 --> 00:29:06,320 Speaker 7: You know, he's no patent. 579 00:29:06,400 --> 00:29:09,360 Speaker 3: He's been a good partner of ours. But we've been 580 00:29:09,360 --> 00:29:11,440 Speaker 3: partners with Intel for a long time. It's been eighteen 581 00:29:11,480 --> 00:29:15,040 Speaker 3: years since we launched our first Intel instance when AWS 582 00:29:15,080 --> 00:29:17,760 Speaker 3: and EC two first launched, and we'll continue to be 583 00:29:17,840 --> 00:29:20,200 Speaker 3: great partners with Intel, and they have a great technology 584 00:29:20,200 --> 00:29:23,720 Speaker 3: team there and we look forward to continuing to roll 585 00:29:23,760 --> 00:29:25,920 Speaker 3: out the latest technologies from Intel for our customers to 586 00:29:25,920 --> 00:29:27,320 Speaker 3: be able to use, and he've been. 587 00:29:27,320 --> 00:29:29,880 Speaker 5: Continuing to roll out, as you say in video offerings. 588 00:29:30,240 --> 00:29:32,840 Speaker 5: Last time you're on, we're talking about Blackwell. Of course, 589 00:29:32,880 --> 00:29:36,560 Speaker 5: many have been frustrated, perhaps by some slowness to market there. 590 00:29:36,600 --> 00:29:39,320 Speaker 5: When do you anticipate that Blackwell will be unfolding? And 591 00:29:39,880 --> 00:29:42,720 Speaker 5: how difficult has it been to ensure the supply side 592 00:29:42,760 --> 00:29:43,040 Speaker 5: is there? 593 00:29:44,600 --> 00:29:47,120 Speaker 3: Well, They've obviously had some manufacturing things that they're going through, 594 00:29:47,160 --> 00:29:48,720 Speaker 3: but we're very excited about it. I think the early 595 00:29:48,800 --> 00:29:52,720 Speaker 3: returns and the early looks at Blackwell look fantastic. We 596 00:29:52,760 --> 00:29:55,920 Speaker 3: expect almost a two and a half times gain in 597 00:29:55,960 --> 00:29:58,240 Speaker 3: the compute power that you get from Blackwell that we 598 00:29:58,280 --> 00:30:00,240 Speaker 3: saw from H one hundreds, and so I think it'll 599 00:30:00,280 --> 00:30:03,120 Speaker 3: be a really material jump for customers once we get 600 00:30:03,160 --> 00:30:05,640 Speaker 3: those out, and you know, I think those will be 601 00:30:05,680 --> 00:30:08,600 Speaker 3: early next year, and we're excited about putting them into 602 00:30:08,600 --> 00:30:10,360 Speaker 3: gun customers hands, and we'll get them out there as 603 00:30:10,360 --> 00:30:11,240 Speaker 3: soon as they're available. 604 00:30:11,840 --> 00:30:16,520 Speaker 5: Investors, though they find it wild, this whole frenemy existence 605 00:30:16,560 --> 00:30:20,600 Speaker 5: that's going on. Do you truly think that investors here think, oh, 606 00:30:20,800 --> 00:30:23,880 Speaker 5: we want to see in video dependency as well as 607 00:30:23,920 --> 00:30:27,320 Speaker 5: AWS having its own offerings. Is that something you think 608 00:30:27,360 --> 00:30:30,280 Speaker 5: everyone can swallow or do you think ultimately there will 609 00:30:30,320 --> 00:30:33,680 Speaker 5: be a broadening out other than just in video winning all. 610 00:30:35,920 --> 00:30:37,880 Speaker 3: Look, I do think it's a partner if you think 611 00:30:37,880 --> 00:30:41,120 Speaker 3: about AWS. We started from the very beginning thinking about 612 00:30:41,120 --> 00:30:44,360 Speaker 3: this partnership mindset, and we built the entire business around 613 00:30:44,400 --> 00:30:47,239 Speaker 3: AWS thinking about how AWS would have services and our 614 00:30:47,280 --> 00:30:49,880 Speaker 3: partners would have services, and that there's plenty of space 615 00:30:49,920 --> 00:30:52,680 Speaker 3: for all of us to really grow and build our businesses. 616 00:30:53,120 --> 00:30:56,320 Speaker 3: And that is true for software providers, it's true for 617 00:30:56,920 --> 00:30:59,520 Speaker 3: service providers, and it's true for technology providers. And so 618 00:30:59,760 --> 00:31:02,560 Speaker 3: I think that we've proven time and time again over 619 00:31:02,560 --> 00:31:05,120 Speaker 3: the last eighteen years that AWS can have products and 620 00:31:05,120 --> 00:31:07,400 Speaker 3: our partners can have products, and then as we make 621 00:31:07,440 --> 00:31:11,479 Speaker 3: them all available, that the whole pie gets bigger. And 622 00:31:11,520 --> 00:31:13,320 Speaker 3: so I think there's plenty of opportunity for both. And 623 00:31:13,320 --> 00:31:15,360 Speaker 3: so it really isn't I think it makes for a 624 00:31:15,400 --> 00:31:18,320 Speaker 3: fun narrative that it's either or, But we're great partners 625 00:31:18,320 --> 00:31:20,040 Speaker 3: with n Video. We will continue to be, and this 626 00:31:20,080 --> 00:31:21,640 Speaker 3: is all about making the pie get bigger. 627 00:31:23,040 --> 00:31:27,680 Speaker 5: Fighting the Frenemi discussion my conversation with AWSCO Matt Garmon 628 00:31:28,120 --> 00:31:30,880 Speaker 5: Coming up plenty more on AI and the investment opportunities. 629 00:31:30,920 --> 00:31:34,200 Speaker 5: Liney Lyman underscore VC managing partner can be joining us. 630 00:31:34,840 --> 00:31:45,960 Speaker 4: This is really my technology