1 00:00:02,520 --> 00:00:07,000 Speaker 1: Bloomberg Audio Studios, podcasts, radio News. 2 00:00:09,160 --> 00:00:13,760 Speaker 2: This is a breaking news update from Bloomberg, instant. 3 00:00:13,360 --> 00:00:17,440 Speaker 1: Reaction and analysis from our three thousand journalists and analysts 4 00:00:17,520 --> 00:00:18,439 Speaker 1: around the world. 5 00:00:19,079 --> 00:00:22,000 Speaker 3: Let's go to actually the outlook first quarter revenue forecast 6 00:00:22,040 --> 00:00:25,960 Speaker 3: beating estimates, the company saying for the first quarter seas 7 00:00:25,960 --> 00:00:28,280 Speaker 3: revenue of seventy six point forty four billion to seventy 8 00:00:28,360 --> 00:00:31,160 Speaker 3: nine point fifty six billion, that is easily above the 9 00:00:31,160 --> 00:00:34,840 Speaker 3: street estimate of seventy two point seventy eight million. Let's 10 00:00:34,880 --> 00:00:38,159 Speaker 3: go back to the fourth quarter data center revenue that 11 00:00:38,320 --> 00:00:40,960 Speaker 3: coming in better than expected sixty two point three billion 12 00:00:41,040 --> 00:00:43,800 Speaker 3: versus the street estimate of sixty point thirty six billion, 13 00:00:44,479 --> 00:00:48,800 Speaker 3: and Vidia saying computing demand is growing exponentially. Fourth quarter 14 00:00:48,800 --> 00:00:51,920 Speaker 3: adjusted gross margin we expected seventy five percent, We got 15 00:00:51,920 --> 00:00:56,120 Speaker 3: seventy five point two percent. Fourth quarter revenue coming in 16 00:00:56,200 --> 00:00:59,080 Speaker 3: overall sixty eight point one billion, better than the street 17 00:00:59,160 --> 00:01:01,920 Speaker 3: estimate of sixty five point ninety one billion. Tim we're 18 00:01:01,920 --> 00:01:04,200 Speaker 3: seeing that stock up now about two point two percent 19 00:01:04,200 --> 00:01:05,040 Speaker 3: in the aftermarket. 20 00:01:05,120 --> 00:01:07,840 Speaker 1: Yeah, just to remind everybody where we are with these numbers. 21 00:01:07,880 --> 00:01:10,120 Speaker 1: The first the company ce's first quarter revenue coming in 22 00:01:10,640 --> 00:01:14,600 Speaker 1: six seventy six point four four billion dollars to seventy 23 00:01:14,680 --> 00:01:18,120 Speaker 1: nine point five six billion dollars. That beat estimates handedly 24 00:01:18,560 --> 00:01:22,199 Speaker 1: handily of seventy two point seven eight billion dollars. As 25 00:01:22,240 --> 00:01:25,000 Speaker 1: Carol mentioned in video, CEO Jensen Wong saying in a statement, 26 00:01:25,040 --> 00:01:30,160 Speaker 1: computing demand is growing exponentially. We are also fourth quarter 27 00:01:30,240 --> 00:01:32,840 Speaker 1: data center revenue worth repeating a beat there sixty two 28 00:01:32,880 --> 00:01:35,720 Speaker 1: point three billion dollars the estimers for sixty point three 29 00:01:35,800 --> 00:01:39,200 Speaker 1: six billion, and that gross margin coming in above estimates 30 00:01:39,200 --> 00:01:41,160 Speaker 1: at seventy five point two percent. 31 00:01:41,280 --> 00:01:43,520 Speaker 3: Our Sarah Friar on our live blog saying that chairs 32 00:01:43,520 --> 00:01:45,679 Speaker 3: are growing up on that data center revenue beat. Hey, 33 00:01:45,800 --> 00:01:48,160 Speaker 3: Ed Ludlow, come on in. I know you're looking at 34 00:01:48,560 --> 00:01:50,240 Speaker 3: these numbers. What jumps out for you? 35 00:01:51,160 --> 00:01:53,600 Speaker 4: Yeah, I mean, straight's the outlook. And by the way, 36 00:01:53,680 --> 00:01:55,440 Speaker 4: I would have done the same thing. Go right there. 37 00:01:55,800 --> 00:01:58,040 Speaker 4: You know, revenue in the fiscal first quarter seventy eight 38 00:01:58,040 --> 00:02:01,280 Speaker 4: billion dollars plus le minus two percent, and you know, 39 00:02:01,400 --> 00:02:04,640 Speaker 4: a consensus was really high. But like going into this, 40 00:02:05,520 --> 00:02:08,000 Speaker 4: it's a very simple equation. There were many names from 41 00:02:08,240 --> 00:02:10,480 Speaker 4: across sell side and buyside that said they wanted to 42 00:02:10,520 --> 00:02:14,520 Speaker 4: see in Nvidia beat revenues overall in the current period 43 00:02:14,880 --> 00:02:18,600 Speaker 4: in by the multiple billions of dollars, you know, against consensus, 44 00:02:18,639 --> 00:02:22,400 Speaker 4: and so one thing I would say to confirm something 45 00:02:22,520 --> 00:02:25,640 Speaker 4: is that the fiscal first quarter, which is the the 46 00:02:25,680 --> 00:02:30,560 Speaker 4: April quarter, does not assume any compute revenue from China. 47 00:02:30,800 --> 00:02:34,240 Speaker 4: In the outlook does not factor in any compute revenue 48 00:02:34,240 --> 00:02:36,240 Speaker 4: of China. That I guess is something to check off 49 00:02:36,240 --> 00:02:37,919 Speaker 4: the list. It was one of the questions we had. 50 00:02:38,600 --> 00:02:41,600 Speaker 1: I want to bring in Jake Goldberg from Seaport Research 51 00:02:41,600 --> 00:02:45,200 Speaker 1: partnering senior analysts your semiconductors and electronics. He joins us 52 00:02:45,200 --> 00:02:50,320 Speaker 1: also from San Francisco. Anything in here that confirms your 53 00:02:50,360 --> 00:02:53,519 Speaker 1: thesis or does it sort of go against the celerating 54 00:02:53,560 --> 00:02:54,520 Speaker 1: that you have on in Vidia? 55 00:02:55,200 --> 00:02:57,240 Speaker 5: Yeah, I mean it goes. I mean it's a good quarter. 56 00:02:57,360 --> 00:02:59,680 Speaker 5: It's a good quarter on a good guide. It's above 57 00:03:00,320 --> 00:03:04,440 Speaker 5: consensus above My expectations were good for them. Were still 58 00:03:04,440 --> 00:03:05,680 Speaker 5: waiting to see a lot more detail. 59 00:03:05,760 --> 00:03:06,600 Speaker 1: What do you want to see? 60 00:03:07,240 --> 00:03:08,560 Speaker 5: I want to see, I want to hear more. I 61 00:03:08,560 --> 00:03:10,359 Speaker 5: have to talk about gross margin for next quarter. I 62 00:03:10,360 --> 00:03:12,240 Speaker 5: think that's going to be in the CFO commentary. 63 00:03:12,880 --> 00:03:16,560 Speaker 1: Yeah, Ed jump in, Yeah. 64 00:03:16,160 --> 00:03:17,600 Speaker 4: No, I don't have it yet, but it will be 65 00:03:17,639 --> 00:03:20,120 Speaker 4: in the CFO commentary. 66 00:03:20,520 --> 00:03:23,679 Speaker 1: Versus seventy five percent expectations, I mean, can can ed 67 00:03:23,760 --> 00:03:25,560 Speaker 1: Can you use that as sort of a guide for 68 00:03:25,560 --> 00:03:27,720 Speaker 1: for how the company could see first. 69 00:03:27,520 --> 00:03:31,239 Speaker 4: Yeah, I mean on a basis point basis, Yeah, it 70 00:03:31,280 --> 00:03:35,480 Speaker 4: looked like margins are impacted by a number of things. 71 00:03:35,800 --> 00:03:38,280 Speaker 4: It has been a sell side question on prior calls 72 00:03:38,640 --> 00:03:42,240 Speaker 4: the percentage of a server that Nvidia contributes to. And 73 00:03:42,320 --> 00:03:47,480 Speaker 4: again what's changed in the period is in Nvidia starting 74 00:03:47,560 --> 00:03:51,480 Speaker 4: to sell, for example, CPUs as standalone product, and that 75 00:03:51,680 --> 00:03:54,360 Speaker 4: was a part of the meta deal that was included. 76 00:03:54,360 --> 00:03:57,760 Speaker 4: They talked about core Weave being an early user of 77 00:03:57,880 --> 00:04:00,400 Speaker 4: CPU as a standalone product. You know, how does that 78 00:04:00,440 --> 00:04:04,800 Speaker 4: impact the margin profile going forward? But yeah, I mean 79 00:04:05,400 --> 00:04:07,360 Speaker 4: what they do is they own more of the server 80 00:04:07,440 --> 00:04:10,440 Speaker 4: and that has been one of the ways in which 81 00:04:10,480 --> 00:04:12,680 Speaker 4: that they've got margins to where they are. And clearly 82 00:04:12,760 --> 00:04:15,840 Speaker 4: being zero point two percent above you know, where where 83 00:04:15,840 --> 00:04:17,720 Speaker 4: the hopes were is not a bad thing. 84 00:04:18,040 --> 00:04:21,479 Speaker 3: Yeah, I'm looking at that CFO commentary. As we know, 85 00:04:21,600 --> 00:04:24,559 Speaker 3: revenue expected to be seventy eight billion plus or minus 86 00:04:24,560 --> 00:04:27,800 Speaker 3: two percent, and as you correctly pointed, out not assuming 87 00:04:27,839 --> 00:04:31,320 Speaker 3: any data center compute revenue from China. In their outlook, 88 00:04:31,360 --> 00:04:34,159 Speaker 3: gap and non gap gross margins expected to be seventy 89 00:04:34,160 --> 00:04:37,359 Speaker 3: four point nine percent and seventy five percent, respectively, plus 90 00:04:37,440 --> 00:04:41,760 Speaker 3: or minus fifty bases point inclusive of a one tenth 91 00:04:41,800 --> 00:04:46,160 Speaker 3: of one percent impact from stock based compensation expense. Just 92 00:04:46,240 --> 00:04:49,000 Speaker 3: looking at what else we have here, Operating expensive gap 93 00:04:49,040 --> 00:04:52,680 Speaker 3: and non gap operating expenses to be approximately seven point 94 00:04:52,720 --> 00:04:56,400 Speaker 3: seven billion seven and a half billion, respectively, including that's 95 00:04:56,440 --> 00:05:00,000 Speaker 3: inclusive of one point nine billion of stock based compensation expense. 96 00:05:00,160 --> 00:05:02,880 Speaker 1: A headline getting my attention is in Vidia says that 97 00:05:02,960 --> 00:05:05,640 Speaker 1: hyper scalers were just over fifty percent of four Q 98 00:05:06,240 --> 00:05:09,359 Speaker 1: data center revenue. Jake Goldberg, I want to repeat that 99 00:05:09,400 --> 00:05:11,839 Speaker 1: headline for you, hyper scalers, We're just over fifty percent 100 00:05:11,839 --> 00:05:14,599 Speaker 1: of fourth quarter data center revenue. Is that a sign 101 00:05:14,640 --> 00:05:19,560 Speaker 1: that in Vidia is diversifying revenue? Who who made up 102 00:05:19,600 --> 00:05:23,400 Speaker 1: the other half of data center revenue? Is it automakers? 103 00:05:23,400 --> 00:05:24,880 Speaker 1: Like who's buying well? 104 00:05:24,920 --> 00:05:26,560 Speaker 5: I think that's one of the most interesting things that's 105 00:05:26,600 --> 00:05:29,279 Speaker 5: taking place with in videos is they're not just reshaping 106 00:05:29,320 --> 00:05:32,480 Speaker 5: the semiconductor industry, They're trying to reshape the cloud computing 107 00:05:32,600 --> 00:05:34,600 Speaker 5: industry as well. And that's why you see we see 108 00:05:34,600 --> 00:05:37,640 Speaker 5: all these neoclouds getting investment from or support from in video. 109 00:05:38,240 --> 00:05:41,560 Speaker 5: In Vidia would much rather have one hundred neocloud customers. 110 00:05:41,040 --> 00:05:42,359 Speaker 1: Than three HYPERD scale customers, of. 111 00:05:42,360 --> 00:05:46,360 Speaker 5: Course, and they're doing a really good job of creating that, 112 00:05:46,960 --> 00:05:48,120 Speaker 5: willing that into existence. 113 00:05:48,160 --> 00:05:50,840 Speaker 1: So those other customers had come on in here. Those 114 00:05:50,880 --> 00:05:54,920 Speaker 1: other customers are like the core weaves and the other neoclouds. 115 00:05:55,560 --> 00:05:59,400 Speaker 4: Yeah, I mean, what is still important in his fact 116 00:05:59,560 --> 00:06:03,719 Speaker 4: is that obviously the vast majority has been the hyperscalers 117 00:06:03,880 --> 00:06:08,280 Speaker 4: plus meta, right, and so they've wanted to kind of 118 00:06:08,920 --> 00:06:11,400 Speaker 4: switch between a story what they used to call an 119 00:06:11,400 --> 00:06:14,680 Speaker 4: AI factory. At first, an AI factory was an on 120 00:06:14,839 --> 00:06:17,960 Speaker 4: prem data center that enterprises and maybe some of the 121 00:06:18,000 --> 00:06:21,640 Speaker 4: neoclouds would operate themselves. Now an AI factory is what 122 00:06:21,720 --> 00:06:25,800 Speaker 4: they you define any data center that's running AI workloads 123 00:06:25,839 --> 00:06:28,520 Speaker 4: in so they have chopped and change between that story, 124 00:06:28,760 --> 00:06:31,679 Speaker 4: but its origin was that they wanted to go beyond 125 00:06:31,680 --> 00:06:34,960 Speaker 4: the hyperscalers to have people own their own infrastructure for 126 00:06:35,040 --> 00:06:38,120 Speaker 4: AI workloads if they were say a software company or 127 00:06:38,120 --> 00:06:40,720 Speaker 4: an enterprise of a slightly different size. 128 00:06:40,640 --> 00:06:41,360 Speaker 2: You know, it's interesting. 129 00:06:41,400 --> 00:06:44,200 Speaker 3: I'm looking for supply constraints and they seem to say 130 00:06:44,240 --> 00:06:47,120 Speaker 3: in the CFO commentary, I'm seeing it in terms of gaming. 131 00:06:47,600 --> 00:06:49,919 Speaker 3: They say, we expect supply constraints to be a headwind 132 00:06:49,920 --> 00:06:52,120 Speaker 3: to gaming in the first quarter fiscal twenty twenty seven 133 00:06:52,120 --> 00:06:54,839 Speaker 3: and beyond, but not so important, right ed. I mean, 134 00:06:54,880 --> 00:06:56,520 Speaker 3: we want to really just see if that's a problem 135 00:06:56,560 --> 00:06:58,159 Speaker 3: in the data center area. 136 00:07:00,360 --> 00:07:04,680 Speaker 4: Sadly, you know my history within video, you know, before 137 00:07:04,760 --> 00:07:07,240 Speaker 4: coming Silicon Valley and covering the data center thing was 138 00:07:07,279 --> 00:07:09,760 Speaker 4: gaming and you know it's now such a small piece 139 00:07:09,800 --> 00:07:12,400 Speaker 4: of revenue. It's I mean, Jay, you can jump in, 140 00:07:12,480 --> 00:07:15,720 Speaker 4: but really it's not where anyone's looking right now. There 141 00:07:15,800 --> 00:07:19,200 Speaker 4: is some discussion later on as it relates to the 142 00:07:19,240 --> 00:07:25,040 Speaker 4: balance sheet and cash flow on things to do with supply, 143 00:07:25,160 --> 00:07:28,240 Speaker 4: but you're right that what they're basically saying is that 144 00:07:28,240 --> 00:07:31,760 Speaker 4: that was the gaming was the segment that was impacted, 145 00:07:31,800 --> 00:07:34,720 Speaker 4: and I don't know that that is having any effects really. 146 00:07:34,760 --> 00:07:37,000 Speaker 4: And how we see the stock trading in after hours, well. 147 00:07:36,880 --> 00:07:39,400 Speaker 1: And Video shares up three point four percent right now, 148 00:07:39,400 --> 00:07:43,600 Speaker 1: and in fact we're seeing Broadcom TSMC and Micron shares 149 00:07:43,680 --> 00:07:46,720 Speaker 1: follow in video higher. Jake Goldberg come on in here 150 00:07:46,880 --> 00:07:49,400 Speaker 1: and talk a little bit about the broader repercussions of 151 00:07:49,440 --> 00:07:52,000 Speaker 1: a print like this outside of in video. What's the 152 00:07:52,040 --> 00:07:54,720 Speaker 1: signal that it sends not just to hardware makers but 153 00:07:54,800 --> 00:07:56,240 Speaker 1: to the entire market. 154 00:07:56,920 --> 00:07:59,600 Speaker 5: I think there are always concerns about how long the 155 00:07:59,640 --> 00:08:01,600 Speaker 5: spend is going to keep going, and we had certainly 156 00:08:01,600 --> 00:08:03,880 Speaker 5: had some positive data points about that. Two weeks ago 157 00:08:03,880 --> 00:08:07,400 Speaker 5: when the hyperscale is reported, Facebook reported they have very 158 00:08:07,400 --> 00:08:12,040 Speaker 5: strong CAPEX numbers. This just continues that trend. And I 159 00:08:12,040 --> 00:08:13,680 Speaker 5: don't want to say it's a rising tide that lifts 160 00:08:13,680 --> 00:08:16,240 Speaker 5: all boats, but it's it is six seven hundred billion 161 00:08:16,280 --> 00:08:18,520 Speaker 5: dollars in CAPEX this year, and that's going to spread 162 00:08:18,560 --> 00:08:20,320 Speaker 5: across the entire ecosystem. 163 00:08:21,000 --> 00:08:22,360 Speaker 3: No, and I want to go back to it, and 164 00:08:22,520 --> 00:08:24,680 Speaker 3: I totally get like gaming non important, but I was 165 00:08:24,680 --> 00:08:27,320 Speaker 3: like looking to see if there's any supply constraints in 166 00:08:27,360 --> 00:08:29,120 Speaker 3: the rest of their universe, and I just thought it 167 00:08:29,120 --> 00:08:31,440 Speaker 3: was kind of interesting that I haven't seen anything along 168 00:08:31,480 --> 00:08:32,080 Speaker 3: those lines. 169 00:08:32,480 --> 00:08:34,280 Speaker 2: It was just in regards to gaming. 170 00:08:34,320 --> 00:08:36,080 Speaker 3: So is that a good sign that we haven't seen 171 00:08:36,120 --> 00:08:38,840 Speaker 3: anything that the company has said so far in terms 172 00:08:38,880 --> 00:08:40,240 Speaker 3: of supply constraints. 173 00:08:40,360 --> 00:08:42,600 Speaker 2: Yeah, for the rest of the business, or I don't know, 174 00:08:42,720 --> 00:08:43,680 Speaker 2: is it not that important? 175 00:08:44,280 --> 00:08:47,840 Speaker 4: Well, you know, I leave it to the analyst to 176 00:08:48,000 --> 00:08:51,360 Speaker 4: model money left on the table if there were any, 177 00:08:51,400 --> 00:08:54,320 Speaker 4: so to speak. But given the outlook in terms of 178 00:08:54,400 --> 00:08:59,239 Speaker 4: sales and where it came in relative to consensus, you know, Nvidia, 179 00:09:00,320 --> 00:09:03,120 Speaker 4: it's an enviable position to be in right where demand 180 00:09:03,160 --> 00:09:06,200 Speaker 4: exceeds your ability to supply anyway. But going back to 181 00:09:06,280 --> 00:09:09,000 Speaker 4: that five year handbag analogy of a few moments ago, 182 00:09:09,400 --> 00:09:11,720 Speaker 4: you know, the other argument that Jensen Wong and Video 183 00:09:11,760 --> 00:09:14,400 Speaker 4: have made quite consistently is that if you tell your 184 00:09:14,440 --> 00:09:17,000 Speaker 4: suppliers what you plan to do five years in advance, 185 00:09:17,480 --> 00:09:20,120 Speaker 4: then the rest of the supply chain can help prepare 186 00:09:20,160 --> 00:09:23,520 Speaker 4: with you and keep up. And you know recently that 187 00:09:23,520 --> 00:09:26,600 Speaker 4: that's been most difficult in memory. But memory shows up 188 00:09:26,640 --> 00:09:29,280 Speaker 4: in pricing, you know. And if you're Jensen Wong, I'm 189 00:09:29,320 --> 00:09:32,400 Speaker 4: sure you can make a phone call and make sure 190 00:09:32,400 --> 00:09:35,920 Speaker 4: that the corresponding high bandwidth memory that you need is 191 00:09:35,960 --> 00:09:36,880 Speaker 4: there or thereabouts. 192 00:09:37,000 --> 00:09:40,679 Speaker 3: Quick check on now ZAK one hundred many futures here 193 00:09:40,720 --> 00:09:43,480 Speaker 3: in the aftermarket, and they're up about one point eight percent. 194 00:09:43,520 --> 00:09:46,240 Speaker 3: So we're certainly seeing a lift to the overall market. 195 00:09:46,320 --> 00:09:49,120 Speaker 3: Jay Gilbert, come on back in what's top of mind 196 00:09:49,200 --> 00:09:51,960 Speaker 3: when we get to this conference call in terms of 197 00:09:51,960 --> 00:09:53,120 Speaker 3: what you want to hear. I know we talked a 198 00:09:53,160 --> 00:09:56,320 Speaker 3: lot about margins earlier, but what is it? 199 00:09:57,800 --> 00:09:59,960 Speaker 5: Yeah, I mean, I think this margin stuff is important 200 00:10:00,120 --> 00:10:02,400 Speaker 5: because what I'm sort of reading between the lines is 201 00:10:03,320 --> 00:10:06,800 Speaker 5: they had to negotiate pricing with the memory memory makers, 202 00:10:06,800 --> 00:10:09,840 Speaker 5: and the memory makers have the most leverage they've had 203 00:10:09,840 --> 00:10:12,640 Speaker 5: in a decade, and we don't see any impact on 204 00:10:12,679 --> 00:10:14,920 Speaker 5: in videous numbers. Compare that to pretty much any other 205 00:10:15,160 --> 00:10:17,840 Speaker 5: electronics company out there today which is warning about memory. 206 00:10:18,559 --> 00:10:20,600 Speaker 5: I'm sure they're in video is feelings some of that, 207 00:10:21,040 --> 00:10:24,079 Speaker 5: but the fact that their gross margins are guiding to 208 00:10:24,200 --> 00:10:26,600 Speaker 5: at least in line tells me that they're just going 209 00:10:26,640 --> 00:10:29,880 Speaker 5: to price on those memory increases to their customers, which 210 00:10:29,920 --> 00:10:34,520 Speaker 5: is a testament to their pricing power, to their power 211 00:10:34,640 --> 00:10:35,440 Speaker 5: their market position. 212 00:10:36,160 --> 00:10:38,400 Speaker 1: Jake Goldberg, Jay, we're gonna have to leave it there. 213 00:10:38,440 --> 00:10:40,080 Speaker 1: We're going to give you time to get ready to 214 00:10:40,120 --> 00:10:42,640 Speaker 1: jump on that call. Jake Goldberger, Senior Analyst, Semiconductors and 215 00:10:42,679 --> 00:10:46,719 Speaker 1: Allow Electronics for Seaport Research Partners. Once again, Jay, the 216 00:10:46,760 --> 00:10:50,880 Speaker 1: only analyst tracked by the Bloomberg terminal who has a 217 00:10:51,000 --> 00:10:53,360 Speaker 1: celerating on in video and want to give you the 218 00:10:53,440 --> 00:10:57,480 Speaker 1: last word. You've spoken to Jensen Wong many many times. 219 00:10:57,480 --> 00:10:59,040 Speaker 1: What's a question that you would have for him on 220 00:10:59,080 --> 00:10:59,959 Speaker 1: the earnings call tonight? 221 00:11:01,120 --> 00:11:03,960 Speaker 4: Yeah, Like, ultimately, it just always comes down to a 222 00:11:04,000 --> 00:11:06,679 Speaker 4: projection of confidence that all of the stories we've been 223 00:11:06,720 --> 00:11:10,120 Speaker 4: over in more than the last year is still intact. 224 00:11:10,400 --> 00:11:14,000 Speaker 4: You know that the great buildout of AI infrastructure is early, 225 00:11:14,600 --> 00:11:18,480 Speaker 4: that they have long horizon visibility into what's going on. 226 00:11:19,160 --> 00:11:22,240 Speaker 4: All in video can control, I suppose, is the roadmap 227 00:11:22,280 --> 00:11:24,760 Speaker 4: to go from one generation of compute to the next. 228 00:11:24,800 --> 00:11:28,080 Speaker 4: And so they talk about in the CFO document margins 229 00:11:28,120 --> 00:11:31,360 Speaker 4: being supported by the ramp up in blackwell and mix 230 00:11:31,440 --> 00:11:34,680 Speaker 4: of new products. Well, when does that mixed change? When 231 00:11:34,720 --> 00:11:38,360 Speaker 4: does Vera Rubin really kick in and then go beyond that? 232 00:11:38,360 --> 00:11:39,960 Speaker 4: That's kind of how the street would look at it. 233 00:11:39,960 --> 00:11:41,880 Speaker 2: I think, all right, we're going to live with there. 234 00:11:41,960 --> 00:11:42,040 Speaker 6: Ed. 235 00:11:42,080 --> 00:11:44,240 Speaker 3: We know you're busy as well. Ed Lovelo, thank you 236 00:11:44,360 --> 00:11:47,120 Speaker 3: so much as we awaited those numbers then helping us 237 00:11:47,120 --> 00:11:49,960 Speaker 3: break them down. Co host of Bloomberg Tech of course 238 00:11:50,000 --> 00:11:53,000 Speaker 3: on Bloomberg Television, Catch It at eleven am Wall Street 239 00:11:53,040 --> 00:11:55,560 Speaker 3: time Monday through Friday. In the meantime, we've got chairs 240 00:11:55,559 --> 00:11:58,560 Speaker 3: of Nvidia up about three point two percent. We're seeing 241 00:11:58,600 --> 00:12:01,640 Speaker 3: broad come up about three quarters of one percentage point. 242 00:12:01,640 --> 00:12:04,959 Speaker 3: Here in the aftermarket, TSM, Taiwan Semi up about one 243 00:12:04,960 --> 00:12:08,440 Speaker 3: in a third percent, and you're seeing Micron also hire 244 00:12:08,800 --> 00:12:09,760 Speaker 3: off its best levels. 245 00:12:10,000 --> 00:12:11,920 Speaker 2: In the aftermarket. It's still up Tim about eight tenths 246 00:12:11,960 --> 00:12:12,840 Speaker 2: of a percentage point. 247 00:12:13,000 --> 00:12:14,880 Speaker 1: All right, we're keeping an eye on this. We know 248 00:12:14,960 --> 00:12:17,000 Speaker 1: Charlie Pellett is keeping an eye on all this and more. 249 00:12:17,040 --> 00:12:19,520 Speaker 1: He's standing by in the Bloomberg Interactive brokers to studios 250 00:12:19,520 --> 00:12:20,480 Speaker 1: with a business flash. 251 00:12:20,520 --> 00:12:22,720 Speaker 7: Hey Charlie, all right, I thank you very much. Tim 252 00:12:22,720 --> 00:12:25,400 Speaker 7: and Carol keeping an eye as we recap and reset 253 00:12:25,480 --> 00:12:28,280 Speaker 7: on in video. The stock hire after ours up by 254 00:12:28,400 --> 00:12:31,720 Speaker 7: three percent right now. It did give another bullish quarterly 255 00:12:31,760 --> 00:12:35,800 Speaker 7: revenue forecast, signaling that the massive buildout of AI computing 256 00:12:35,840 --> 00:12:39,439 Speaker 7: does remain on track. Chip maker said fiscal first quarter 257 00:12:39,480 --> 00:12:42,040 Speaker 7: sale is going to be around seventy eight billion. That 258 00:12:42,080 --> 00:12:45,560 Speaker 7: compares with an estimate of seventy two point eight billion 259 00:12:45,880 --> 00:12:49,120 Speaker 7: in Nvidia is the world's most valuable company. Closely watched 260 00:12:49,200 --> 00:12:52,560 Speaker 7: shares up now by three percent, salesforce heading in the 261 00:12:52,600 --> 00:12:55,600 Speaker 7: other direction after ours, stock down roughly five percent, out 262 00:12:55,640 --> 00:12:58,160 Speaker 7: with a lukewarm outlook for sales growth in the new 263 00:12:58,160 --> 00:13:01,840 Speaker 7: fiscal year, fueling while Street's worries that the software giant 264 00:13:01,880 --> 00:13:05,800 Speaker 7: will lose out to new competitors in the age of AI. 265 00:13:06,400 --> 00:13:11,400 Speaker 7: Other companies reporting earnings, Zoom Communications forecast adjusted EPs for 266 00:13:11,440 --> 00:13:15,600 Speaker 7: two twenty twenty seven that guidance missing the average analyst estimate, 267 00:13:15,840 --> 00:13:20,120 Speaker 7: shares down one point seven percent. Also reporting snowflake after Ours, 268 00:13:20,160 --> 00:13:22,240 Speaker 7: the stock down two and a half percent. It gave 269 00:13:22,240 --> 00:13:25,679 Speaker 7: an outlook for quarterly sales that was in line with estimates. 270 00:13:25,920 --> 00:13:29,240 Speaker 7: The Dow, the SMP, and Neztak all advanced today, s 271 00:13:29,280 --> 00:13:32,240 Speaker 7: and P up fifty six, wrapping up the Wednesday session 272 00:13:32,240 --> 00:13:34,760 Speaker 7: at sixty nine forty six, a gain of eight tents 273 00:13:34,760 --> 00:13:37,560 Speaker 7: of one percent. Dow Industrial is up three oh seven 274 00:13:37,679 --> 00:13:40,360 Speaker 7: ups six tens, Nez Stack today up by one point 275 00:13:40,400 --> 00:13:43,559 Speaker 7: three percent, the Nestak one hundred index up today by 276 00:13:43,679 --> 00:13:47,360 Speaker 7: one point four percent, the Vics just falling below eighteen 277 00:13:47,480 --> 00:13:50,120 Speaker 7: with a ten year four point zero five percent spot 278 00:13:50,160 --> 00:13:53,280 Speaker 7: Gold up twenty six dollars, the ounce up by five 279 00:13:53,320 --> 00:13:56,400 Speaker 7: tens of one percent, fifty one seventy major move in 280 00:13:56,520 --> 00:13:59,920 Speaker 7: bitcoin today surging eight point one percent sixty nine thousand, 281 00:14:00,400 --> 00:14:03,679 Speaker 7: two hundred and forty five on bitcoin and finally beyond 282 00:14:03,679 --> 00:14:07,280 Speaker 7: Wall Street, Cuban forces killed four people today who opened 283 00:14:07,320 --> 00:14:10,360 Speaker 7: fire from a speedboat with Florida tags, an incident with 284 00:14:10,480 --> 00:14:14,760 Speaker 7: the potential to escalate an already ten standoff with the US. 285 00:14:15,040 --> 00:14:17,480 Speaker 7: Carolyn tim that is a Bloomberg business flash. 286 00:14:17,480 --> 00:14:19,480 Speaker 3: All right, folks, we're watching in Vidia, Charlie, thank you 287 00:14:19,560 --> 00:14:21,200 Speaker 3: so much for that breakdown on all of that. In 288 00:14:21,280 --> 00:14:24,040 Speaker 3: Vidia shares continuing to trade higher. A couple of headlines 289 00:14:24,080 --> 00:14:26,000 Speaker 3: also crossing that we want to bring to you, and 290 00:14:26,120 --> 00:14:28,000 Speaker 3: Vidia says it's secured supply to. 291 00:14:28,000 --> 00:14:29,560 Speaker 2: Meet demand for several quarters. 292 00:14:29,880 --> 00:14:32,600 Speaker 3: So we talk about supply constraints often when we're talking 293 00:14:32,640 --> 00:14:36,080 Speaker 3: about Nvidia and the AI demand. Also in Vida saying, 294 00:14:37,040 --> 00:14:41,000 Speaker 3: the United States granted a license to ship H two 295 00:14:41,080 --> 00:14:44,520 Speaker 3: hundred chips to China based clients, so they've granted a 296 00:14:44,560 --> 00:14:49,280 Speaker 3: license for specific China based customers. The US licenses to 297 00:14:49,360 --> 00:14:53,080 Speaker 3: ship small amounts of the H two hundred to China, 298 00:14:53,160 --> 00:14:55,840 Speaker 3: So we were looking for some clarification on its business 299 00:14:55,840 --> 00:14:57,920 Speaker 3: in China. Something that they've certainly been looking for. 300 00:14:58,040 --> 00:15:00,760 Speaker 1: We've got a great Bloomberg Intelligence roundtable, Mandeep's saying. His 301 00:15:00,800 --> 00:15:04,240 Speaker 1: global head of Technology Research for Bloomberg Intelligence. He joins 302 00:15:04,280 --> 00:15:07,160 Speaker 1: us here in the Bloomberg Interactive broker's studio. He covers 303 00:15:07,160 --> 00:15:10,280 Speaker 1: in Vidia, he covers Snowflake and more. Also, anurag Rana 304 00:15:10,320 --> 00:15:13,360 Speaker 1: is senior technology analyst for Bloomberg Intelligence. He joins us 305 00:15:13,440 --> 00:15:17,600 Speaker 1: from Chicago, and he covers a salesforce. So we're going 306 00:15:17,680 --> 00:15:19,840 Speaker 1: to talk software, We're going to talk hardware. Man, Deep, 307 00:15:19,880 --> 00:15:22,680 Speaker 1: I want to start with your reaction to in Video. 308 00:15:22,800 --> 00:15:25,280 Speaker 1: It was a beat it, I mean, a very good quarter. 309 00:15:26,240 --> 00:15:29,040 Speaker 1: Your reaction to margin and what is actually holding up 310 00:15:29,040 --> 00:15:31,080 Speaker 1: margins here because seventy five point two percent. 311 00:15:31,400 --> 00:15:35,200 Speaker 6: Yeah, no mention of any impact related to memory costs, 312 00:15:35,240 --> 00:15:36,200 Speaker 6: which is surprising. 313 00:15:36,280 --> 00:15:38,360 Speaker 1: And why is that surprising? I know memory costs have 314 00:15:38,400 --> 00:15:39,920 Speaker 1: gone up, but in Video is such a big company. 315 00:15:39,920 --> 00:15:42,800 Speaker 1: Don't they have pricing power? They do, but purchasing power. 316 00:15:43,120 --> 00:15:46,160 Speaker 6: They clearly did a great job in terms of securing 317 00:15:46,200 --> 00:15:49,040 Speaker 6: that supply, and they don't have the premium. They don't 318 00:15:49,080 --> 00:15:51,400 Speaker 6: have to pay the premium that everyone else has to 319 00:15:51,440 --> 00:15:52,640 Speaker 6: pay on the hardware. Signe. 320 00:15:52,680 --> 00:15:55,320 Speaker 1: They said, secured supply to meet the man for several quarters. 321 00:15:55,360 --> 00:15:58,480 Speaker 1: What's several well, I mean in this case at least 322 00:15:58,520 --> 00:15:59,960 Speaker 1: like the FED. This is like the FED. 323 00:16:00,080 --> 00:16:02,360 Speaker 2: But they're saying that they've got it. That's a good thing. 324 00:16:02,440 --> 00:16:05,880 Speaker 6: They have got it, and they're guiding to you know, 325 00:16:06,000 --> 00:16:08,680 Speaker 6: mid seventy percent rose margin for next quarter as well. 326 00:16:08,720 --> 00:16:13,720 Speaker 6: So clearly memory not you know, an impact at all 327 00:16:13,760 --> 00:16:16,720 Speaker 6: in terms of the margins. The thing that is clear 328 00:16:16,880 --> 00:16:20,440 Speaker 6: is they are selling you know, to existing customers, not 329 00:16:20,520 --> 00:16:25,160 Speaker 6: just GPUs, but systems. And that's the big difference between 330 00:16:25,160 --> 00:16:29,120 Speaker 6: and in Vidia and AMD. AMD wants Meta to use 331 00:16:29,160 --> 00:16:34,080 Speaker 6: their chips and integrate it right. Nvidia is actually selling 332 00:16:34,120 --> 00:16:39,320 Speaker 6: their custom to their customers entire systems that have higher asps. 333 00:16:39,920 --> 00:16:43,360 Speaker 6: They are helping them reduce the token costs and that's 334 00:16:43,400 --> 00:16:47,040 Speaker 6: where the customers don't mind paying that extra you know, 335 00:16:47,120 --> 00:16:51,040 Speaker 6: premium that in Vidia is charging because overall the total 336 00:16:51,080 --> 00:16:53,360 Speaker 6: cost of ownership is lower than if you were to 337 00:16:53,400 --> 00:16:56,680 Speaker 6: standardize on any other chips. And that's what's reflected in 338 00:16:56,760 --> 00:17:00,040 Speaker 6: their print is look, their customers see. 339 00:16:59,800 --> 00:17:02,800 Speaker 2: The so well done in video right by doing the whole. 340 00:17:02,600 --> 00:17:06,320 Speaker 6: Thing and the Blackwell architecture that's really taken off. I mean, 341 00:17:06,400 --> 00:17:09,800 Speaker 6: all the concerns around the migration from Harper to Blackwell. 342 00:17:10,000 --> 00:17:13,040 Speaker 6: I mean, they just prove that Blackwell will be probably 343 00:17:13,119 --> 00:17:17,000 Speaker 6: a bigger, you know product in terms of their chip architectures. 344 00:17:17,520 --> 00:17:18,400 Speaker 2: Does this in your mind? 345 00:17:18,440 --> 00:17:22,280 Speaker 3: I mean I always feel like you're like the calmvoice 346 00:17:22,320 --> 00:17:25,359 Speaker 3: of saying, the airspend is still happening, like everybody relaxed. 347 00:17:25,480 --> 00:17:26,359 Speaker 6: It's accelerating that. 348 00:17:26,440 --> 00:17:28,600 Speaker 2: But it's accelerate. That's what you're getting from this. 349 00:17:28,800 --> 00:17:32,120 Speaker 6: I mean, look at Nvidia's growth in the last fiscal quarter. 350 00:17:32,200 --> 00:17:36,080 Speaker 6: It was around mid sixty percent. They're pointing to seventy 351 00:17:36,080 --> 00:17:39,800 Speaker 6: seven percent growth in their fiscal one Q So that 352 00:17:40,000 --> 00:17:43,320 Speaker 6: goes to show and the proof point you can see 353 00:17:43,320 --> 00:17:47,040 Speaker 6: in the hyperscalar capex. The hyperscalar capex seems to be 354 00:17:47,080 --> 00:17:51,720 Speaker 6: going up as well. So it's underpinned by healthy fundamentals. 355 00:17:51,760 --> 00:17:54,760 Speaker 6: We know why. And Vidius top line is accelerating, right 356 00:17:54,800 --> 00:17:57,480 Speaker 6: because the kapex seems to be accelerating, and all these 357 00:17:57,480 --> 00:18:01,960 Speaker 6: points towards more inferencing, more for AI compute, and we 358 00:18:02,080 --> 00:18:05,879 Speaker 6: are hitting that phase where it's not just you know 359 00:18:06,000 --> 00:18:09,119 Speaker 6: about training or whether it will happen or not. It's happening. 360 00:18:09,200 --> 00:18:11,560 Speaker 2: So the ROI the usage right, We're seeing it. 361 00:18:11,680 --> 00:18:16,360 Speaker 6: The usage is happening, and companies are consuming the compute. 362 00:18:16,440 --> 00:18:19,919 Speaker 6: It's going to get reflected in the cloud revenue next quarter. 363 00:18:20,280 --> 00:18:23,639 Speaker 6: It's going to get reflected in all the possible forms 364 00:18:23,680 --> 00:18:25,359 Speaker 6: of where inferencing will show up. 365 00:18:25,520 --> 00:18:27,320 Speaker 1: We're gon we're going to bring on aurag In in a 366 00:18:27,359 --> 00:18:29,640 Speaker 1: second and talk Salesforce because I think that's a good 367 00:18:29,680 --> 00:18:32,200 Speaker 1: transition to talk about what companies are doing with AI 368 00:18:32,280 --> 00:18:34,640 Speaker 1: and the message at least that Salesforce trying to make 369 00:18:34,640 --> 00:18:36,919 Speaker 1: with agentic AI. But before we get there, maybe if 370 00:18:36,920 --> 00:18:38,280 Speaker 1: I do want you to weigh in on what Carol 371 00:18:38,280 --> 00:18:41,960 Speaker 1: mentioned earlier about the China business. H two hundred shipped 372 00:18:42,000 --> 00:18:44,800 Speaker 1: under a new program subject to a twenty five percent tariff. 373 00:18:45,200 --> 00:18:48,400 Speaker 1: Nvidia discloses US government in a ten K filing, granted 374 00:18:48,440 --> 00:18:51,480 Speaker 1: license by the US and February of twenty twenty six, 375 00:18:51,560 --> 00:18:54,879 Speaker 1: the US licenseship small amounts of H two hundred to 376 00:18:55,000 --> 00:18:59,439 Speaker 1: China for specific China based customers. What what is our 377 00:18:59,440 --> 00:19:02,400 Speaker 1: investing ADI? You need to understand about what it can 378 00:19:02,480 --> 00:19:04,800 Speaker 1: sell to China and the impact on that financially. 379 00:19:05,080 --> 00:19:07,040 Speaker 6: I mean it used to be China used to be 380 00:19:07,160 --> 00:19:11,800 Speaker 6: mid single digit percentage of in Vidio's overall data center revenue, 381 00:19:12,160 --> 00:19:14,919 Speaker 6: and Jensen has said China is about a fifty billion 382 00:19:14,960 --> 00:19:18,200 Speaker 6: dollars addressable market when it comes to you know, chips, 383 00:19:18,920 --> 00:19:21,560 Speaker 6: and so the fact that they're allowed to sell something 384 00:19:21,600 --> 00:19:24,320 Speaker 6: now to China doesn't mean it's going to grow at 385 00:19:24,359 --> 00:19:26,720 Speaker 6: the same rate as their overall top line, which is 386 00:19:26,760 --> 00:19:29,919 Speaker 6: you know, seventy seven percent, and that excludes the China number. 387 00:19:30,119 --> 00:19:34,160 Speaker 6: But it's all incremental revenue. And this print shows there 388 00:19:34,200 --> 00:19:39,000 Speaker 6: is just insatiable demand for Invidia's chips and whoever can 389 00:19:39,040 --> 00:19:41,879 Speaker 6: get it well buy it. So it's just a question 390 00:19:42,000 --> 00:19:44,080 Speaker 6: of whether in Vidio is willing to sell it to 391 00:19:44,119 --> 00:19:44,560 Speaker 6: them or not. 392 00:19:44,640 --> 00:19:47,080 Speaker 2: All right, so let's go to salesforce. 393 00:19:47,119 --> 00:19:49,000 Speaker 3: We do want to bring in our anarag Rana, senior 394 00:19:49,040 --> 00:19:50,760 Speaker 3: technology analyst a Bloomberg Intelligence. 395 00:19:50,760 --> 00:19:52,600 Speaker 2: He's in Chicago. 396 00:19:52,880 --> 00:19:55,920 Speaker 3: Shares of Salesforce anaragar Dad about four and a half 397 00:19:56,000 --> 00:20:00,199 Speaker 3: percent in the aftermarket. Some of the red headline that 398 00:20:00,240 --> 00:20:02,520 Speaker 3: we crossed on the Bloomberg Company in terms of the 399 00:20:02,520 --> 00:20:04,639 Speaker 3: outlook sees first quote a revenue. 400 00:20:04,280 --> 00:20:07,600 Speaker 2: Of eleven point zero three to eleven point zero eight billion. 401 00:20:07,640 --> 00:20:10,240 Speaker 3: That's above the street estimate of ten point ninety nine billion, 402 00:20:10,680 --> 00:20:14,760 Speaker 3: also increasing its share buyback authorization. Did fifty billion dollars 403 00:20:15,119 --> 00:20:18,280 Speaker 3: walk us through? Because this company has certainly been under 404 00:20:18,280 --> 00:20:20,880 Speaker 3: a lot of pressure. It's down about fifty percent since 405 00:20:20,960 --> 00:20:22,160 Speaker 3: late twenty twenty four. 406 00:20:23,960 --> 00:20:25,600 Speaker 8: So there are two things that are happening right now. 407 00:20:25,640 --> 00:20:28,600 Speaker 8: The first is, given so much spend going into AI, 408 00:20:29,040 --> 00:20:31,879 Speaker 8: the NONAI spending is the one that's under pressure, and 409 00:20:31,920 --> 00:20:36,119 Speaker 8: that is hurting companies like Salesforce, workday accenture, and so forth, 410 00:20:36,200 --> 00:20:39,760 Speaker 8: because companies have or the clients don't have that much 411 00:20:39,760 --> 00:20:42,560 Speaker 8: money to spend in terms of how they're allocating AI 412 00:20:42,640 --> 00:20:45,879 Speaker 8: spending versus NONAI. The second big piece right now is 413 00:20:46,000 --> 00:20:50,679 Speaker 8: the market's extremely worried about software companies getting disrupted by 414 00:20:50,960 --> 00:20:54,520 Speaker 8: all the model providers and all the AI native companies. 415 00:20:54,720 --> 00:20:57,760 Speaker 8: So Salesforce are getting hit by two different ways. But 416 00:20:57,880 --> 00:21:00,919 Speaker 8: the results, frankly, I mean I wouldn't say they were disappointing. 417 00:21:00,920 --> 00:21:03,400 Speaker 8: I would say they were stayble to inline in terms 418 00:21:03,480 --> 00:21:06,840 Speaker 8: of what they were saying they're going to do. So 419 00:21:06,880 --> 00:21:09,000 Speaker 8: from our side, you know, it is just going to 420 00:21:09,040 --> 00:21:10,520 Speaker 8: take some time to sort out. 421 00:21:10,960 --> 00:21:11,960 Speaker 1: So ANNI rog. 422 00:21:13,440 --> 00:21:13,840 Speaker 7: The question. 423 00:21:13,920 --> 00:21:17,280 Speaker 1: I think a lot of people have excuse me about 424 00:21:17,320 --> 00:21:19,240 Speaker 1: a company like Salesforce, and you know, we could go 425 00:21:19,280 --> 00:21:21,520 Speaker 1: through any other software company, not any other, but many 426 00:21:21,560 --> 00:21:24,639 Speaker 1: other software companies and ask you the same question is 427 00:21:24,680 --> 00:21:28,800 Speaker 1: about the threat from artificial intelligence. And Mark Benioff was 428 00:21:28,800 --> 00:21:31,280 Speaker 1: was very clear in the press release to say that 429 00:21:31,320 --> 00:21:33,520 Speaker 1: this is a company that has like relaunched, I don't 430 00:21:33,520 --> 00:21:35,960 Speaker 1: have the exact wording in front of me, but relaunched 431 00:21:36,000 --> 00:21:40,719 Speaker 1: as an AI and agentic AI company. Is is it 432 00:21:40,840 --> 00:21:44,840 Speaker 1: really under threat? And specifically like what is the threat 433 00:21:45,240 --> 00:21:49,879 Speaker 1: from Claude, from anthropic or from open AI that investors 434 00:21:49,880 --> 00:21:51,600 Speaker 1: are so worried about and is it warranted? 435 00:21:53,080 --> 00:21:55,359 Speaker 8: So the question is the answer to the if is 436 00:21:55,359 --> 00:21:57,560 Speaker 8: it warranted? I mean, I think we're going to take 437 00:21:57,600 --> 00:21:59,959 Speaker 8: some time to play out because if the models get 438 00:22:00,160 --> 00:22:03,520 Speaker 8: really smart, then why do you need a manufactured software 439 00:22:03,560 --> 00:22:06,000 Speaker 8: like this. That software can do a lot of what 440 00:22:06,080 --> 00:22:08,880 Speaker 8: you need to do in terms of managing your salesforce 441 00:22:08,960 --> 00:22:11,920 Speaker 8: or customer service. Now, the question is in our view, 442 00:22:12,119 --> 00:22:14,800 Speaker 8: when a company like Salesforce is there there are a 443 00:22:14,840 --> 00:22:17,439 Speaker 8: handful of their products that they have they have that 444 00:22:17,480 --> 00:22:20,720 Speaker 8: they sell into the enterprise, whether it's customer service, cloud 445 00:22:21,000 --> 00:22:23,880 Speaker 8: or sales automation cloud. Those are the ones I think 446 00:22:23,920 --> 00:22:27,280 Speaker 8: they have a little bit better position of not being disrupted. 447 00:22:27,600 --> 00:22:31,400 Speaker 8: But they have other visualization tools or some other smaller 448 00:22:31,440 --> 00:22:34,000 Speaker 8: products that you know, may not be the ones where 449 00:22:34,040 --> 00:22:36,000 Speaker 8: anybody would pay for it. So I think there is 450 00:22:36,040 --> 00:22:38,520 Speaker 8: a lot that needs to be done from Salesforce in 451 00:22:38,600 --> 00:22:41,720 Speaker 8: terms of adding more AI capabilities to its core product 452 00:22:42,040 --> 00:22:44,640 Speaker 8: and not be you know, change the narrative around it. 453 00:22:45,640 --> 00:22:48,840 Speaker 3: You know, the narratives have been so interesting on AI 454 00:22:49,080 --> 00:22:52,600 Speaker 3: as you really well know, looking at names like Snowflake 455 00:22:52,600 --> 00:22:54,800 Speaker 3: down about one point three percent here in the aftermarket, 456 00:22:54,800 --> 00:22:58,400 Speaker 3: we're talking about Salesforce and that stock just a real 457 00:22:58,480 --> 00:23:01,520 Speaker 3: quick rehash here on the Bloomberg seeing that stock still 458 00:23:01,560 --> 00:23:03,840 Speaker 3: down about four and a half percent here in the aftermarket, 459 00:23:03,920 --> 00:23:05,640 Speaker 3: and then of course you've got Nvidia up about two 460 00:23:05,680 --> 00:23:06,399 Speaker 3: point three percent. 461 00:23:06,720 --> 00:23:08,399 Speaker 2: You put out some great research. 462 00:23:08,040 --> 00:23:11,560 Speaker 3: This week, Anaog, you and the team about the haves 463 00:23:11,600 --> 00:23:14,560 Speaker 3: and have nots and AI disruption. What do we need 464 00:23:14,600 --> 00:23:17,159 Speaker 3: to know at this point, especially when everyone says, folks, 465 00:23:17,200 --> 00:23:18,520 Speaker 3: we're still early in on this. 466 00:23:18,600 --> 00:23:21,840 Speaker 2: We don't really know how it all plays out. 467 00:23:23,080 --> 00:23:23,240 Speaker 6: You know. 468 00:23:23,320 --> 00:23:25,200 Speaker 8: I think that's the most important thing is we are 469 00:23:25,359 --> 00:23:27,480 Speaker 8: very early in the inning. But at the same time, 470 00:23:27,520 --> 00:23:29,600 Speaker 8: you know, when people are worded daily entirely sell the 471 00:23:29,720 --> 00:23:32,480 Speaker 8: entire sector. We have seen that numerous times. So when 472 00:23:32,480 --> 00:23:34,480 Speaker 8: we looked at this thing, I mean the entire team 473 00:23:34,520 --> 00:23:37,120 Speaker 8: worked on creating a framework of you know, when we 474 00:23:37,200 --> 00:23:40,320 Speaker 8: see a company, does it have high market share? Does 475 00:23:40,359 --> 00:23:43,760 Speaker 8: it sell to very large companies versus smaller companies? Is 476 00:23:43,760 --> 00:23:46,800 Speaker 8: it a platform, is it a system of record? All 477 00:23:46,880 --> 00:23:49,760 Speaker 8: those things takes into account, you know, kind of the 478 00:23:49,800 --> 00:23:51,639 Speaker 8: history of a company. So let's say a company like 479 00:23:51,680 --> 00:23:54,720 Speaker 8: I SAIP that's been around for fifty years, you you know, 480 00:23:54,840 --> 00:23:57,719 Speaker 8: use it for your code, accounting, reason, supply chain. I 481 00:23:57,720 --> 00:24:01,000 Speaker 8: think something like that is better entrenched than a very 482 00:24:01,000 --> 00:24:05,760 Speaker 8: small company that's probably doing one particular function or selling 483 00:24:05,800 --> 00:24:07,639 Speaker 8: only to the small and medium customers. 484 00:24:08,280 --> 00:24:11,080 Speaker 3: Hey, final question here on Salesforce. Just going back as 485 00:24:11,119 --> 00:24:13,320 Speaker 3: we watch this stock down four point six percent, top 486 00:24:13,359 --> 00:24:14,879 Speaker 3: of mine. I know I always ask you guys this, 487 00:24:14,960 --> 00:24:17,639 Speaker 3: but when the call starts with the company and the 488 00:24:17,680 --> 00:24:20,800 Speaker 3: C suite and analyst and investors, what must be asked? 489 00:24:22,119 --> 00:24:23,840 Speaker 8: I think the biggest thing is going to be like, 490 00:24:24,040 --> 00:24:27,280 Speaker 8: how what are you doing to change the narrative around 491 00:24:27,440 --> 00:24:30,760 Speaker 8: them being disrupted by AI? And how are they adding 492 00:24:30,760 --> 00:24:33,879 Speaker 8: more AI capabilities across the entire suite? 493 00:24:34,119 --> 00:24:36,880 Speaker 2: All right, love it, Anirog, thank you so much, Anirog. 494 00:24:36,880 --> 00:24:40,359 Speaker 3: Grana his research certainly on the AI world and also 495 00:24:40,760 --> 00:24:41,480 Speaker 3: on salesforce. 496 00:24:41,480 --> 00:24:43,240 Speaker 2: We'll be looking for that later on today. 497 00:24:43,240 --> 00:24:46,920 Speaker 3: Anirag Grana, senior technology analyst at Bloomberg Intelligence out there 498 00:24:46,960 --> 00:24:47,680 Speaker 3: in Chicago,