1 00:00:02,400 --> 00:00:14,920 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Part of our effort 2 00:00:14,920 --> 00:00:18,119 Speaker 1: here with single best idea is to start strong the 3 00:00:18,200 --> 00:00:23,120 Speaker 1: day before and lining up the ducks across three hours booking. 4 00:00:23,520 --> 00:00:26,759 Speaker 1: The quality of talent that we have is a full 5 00:00:26,800 --> 00:00:30,560 Speaker 1: time job. We've got three people on our staff working 6 00:00:30,640 --> 00:00:33,280 Speaker 1: on booking. We've had the advantage this summer of three 7 00:00:33,320 --> 00:00:36,640 Speaker 1: interns helping out. That pairs down to one intern as 8 00:00:36,640 --> 00:00:40,199 Speaker 1: we go into the school season. But they're on the phones. 9 00:00:40,240 --> 00:00:43,640 Speaker 1: It looks like a callon for public television. They're on 10 00:00:43,720 --> 00:00:47,320 Speaker 1: the phone building out the show. Today was a perfect 11 00:00:47,360 --> 00:00:50,720 Speaker 1: example with the excellence of Nvidia. Ed Ludlow with his 12 00:00:50,960 --> 00:00:56,279 Speaker 1: fabulous one hour special last night on Nvidia where there 13 00:00:56,280 --> 00:00:59,000 Speaker 1: were problems on the conference call and the stock moved 14 00:00:59,040 --> 00:01:02,760 Speaker 1: off the conference call, so Ludlow had a ReConference call 15 00:01:03,280 --> 00:01:05,960 Speaker 1: that went worldwide on in video. That's the quality of 16 00:01:05,959 --> 00:01:13,080 Speaker 1: Bloomberg technology. Our people led by Giuseppe. Our people started 17 00:01:13,080 --> 00:01:15,840 Speaker 1: with Dana Ives and then we had Gilria and we 18 00:01:15,880 --> 00:01:20,240 Speaker 1: had Gene Munster on this madness about in Vidia IVES 19 00:01:20,400 --> 00:01:23,479 Speaker 1: is a bull. Let's listen from Webbush. 20 00:01:22,720 --> 00:01:26,600 Speaker 2: So Essenterally Blackwell is almost the architecture, the foundation of 21 00:01:26,640 --> 00:01:31,760 Speaker 2: a house. Microsoft is the actual house. The actual rooms 22 00:01:31,959 --> 00:01:35,720 Speaker 2: will be different. Software players, service now you know called 23 00:01:35,760 --> 00:01:39,360 Speaker 2: salesforce and others. What protects the house, cybersecurity names like 24 00:01:39,440 --> 00:01:42,679 Speaker 2: pow out though and others. Look, I continue to think 25 00:01:42,800 --> 00:01:47,840 Speaker 2: in Vidia today, it's Lebron in high school. That's essentially 26 00:01:47,840 --> 00:01:52,120 Speaker 2: where they are. Lebron in high school. In Vidia, that's 27 00:01:52,160 --> 00:01:52,720 Speaker 2: where they are. 28 00:01:53,040 --> 00:01:56,920 Speaker 1: Dana Eves there, I knew who Lebron was. It was 29 00:01:56,960 --> 00:01:59,200 Speaker 1: like early morning joke. It wasn't funny in the nine 30 00:01:59,240 --> 00:02:03,760 Speaker 1: am hour. But for Danims in the seven Giluria is 31 00:02:04,040 --> 00:02:08,880 Speaker 1: frankly is optimistic on what Nvidia is doing. He has 32 00:02:09,080 --> 00:02:14,320 Speaker 1: trouble with evaluation, particularly out three years. Giluria of Da. 33 00:02:14,200 --> 00:02:17,760 Speaker 3: Davidson, the short hitster is yes. But boy, what an 34 00:02:17,800 --> 00:02:22,720 Speaker 3: impressive trick. Let's not forget without Nvidia, we wouldn't have 35 00:02:22,960 --> 00:02:26,600 Speaker 3: all the exciting generative AI conversations that we're having now. 36 00:02:27,240 --> 00:02:30,760 Speaker 3: Mister Wong and in Nvidia are responsible for the AI 37 00:02:30,840 --> 00:02:34,200 Speaker 3: revolution as much as mister Musk and Tesla responsible for 38 00:02:34,240 --> 00:02:38,880 Speaker 3: the EV revolution. In the annals of history, that's how 39 00:02:38,880 --> 00:02:41,640 Speaker 3: they will be remembered. It is a very impressive trick. 40 00:02:42,240 --> 00:02:45,480 Speaker 3: Having said that, having ninety nine percent of your sales 41 00:02:45,520 --> 00:02:50,520 Speaker 3: come from non recurring hardware sales. It does not justify 42 00:02:50,560 --> 00:02:53,399 Speaker 3: the types of valuation in videos caring right now. 43 00:02:53,320 --> 00:02:56,400 Speaker 1: Gloria with a neutral, very rare neutral. There's like sixty 44 00:02:56,440 --> 00:03:00,000 Speaker 1: something buys and I think it's eight neutrals right now. 45 00:03:00,120 --> 00:03:01,919 Speaker 1: But good to get his voice in their Dan Ives 46 00:03:02,400 --> 00:03:05,200 Speaker 1: and Gil Lauria finally out of Piper Jeff for years 47 00:03:05,240 --> 00:03:09,120 Speaker 1: ago with Gene Munster joins us year we went bigger 48 00:03:09,160 --> 00:03:11,959 Speaker 1: and broader. We'd already covered all the details with Ives 49 00:03:12,040 --> 00:03:13,359 Speaker 1: and Laurie and we knew we were going to talk 50 00:03:13,360 --> 00:03:16,639 Speaker 1: about the call with Ed Ludlow, so we went bigger, broader. 51 00:03:16,680 --> 00:03:18,920 Speaker 1: Here's Gene Munster out years. 52 00:03:19,160 --> 00:03:21,359 Speaker 4: How I think about it is just what's the long term. 53 00:03:21,360 --> 00:03:23,120 Speaker 4: You got to think the long term play, and there's 54 00:03:23,240 --> 00:03:25,400 Speaker 4: the near term, and that's what's the vortex that's going 55 00:03:25,440 --> 00:03:30,160 Speaker 4: around in Vidia today. And I generally react to a 56 00:03:30,320 --> 00:03:32,520 Speaker 4: view of where the world is going. In the case 57 00:03:32,560 --> 00:03:36,160 Speaker 4: of with Nvidia, it's a belief, a strong belief I'm 58 00:03:36,400 --> 00:03:38,920 Speaker 4: staking my career that AI is going to be a 59 00:03:39,000 --> 00:03:42,320 Speaker 4: bigger having a bigger impact than the Internet. And the 60 00:03:42,400 --> 00:03:45,760 Speaker 4: reason why I still am comfortable and think of this 61 00:03:45,840 --> 00:03:49,320 Speaker 4: in that same class as Apple and Microsoft. Is that 62 00:03:49,560 --> 00:03:53,240 Speaker 4: ultimately is if you believe that AI is going to 63 00:03:53,240 --> 00:03:58,080 Speaker 4: be as transformative, more transformative than the Internet. And there's 64 00:03:58,120 --> 00:03:59,760 Speaker 4: a second belief you have to have is that the 65 00:03:59,800 --> 00:04:03,440 Speaker 4: way to get there is through scaling laws, which basically 66 00:04:03,480 --> 00:04:05,920 Speaker 4: say you have to throw more compute in data at 67 00:04:05,920 --> 00:04:09,040 Speaker 4: the problem to solve for intelligence, then in video is 68 00:04:09,080 --> 00:04:10,680 Speaker 4: going to be a winner. I do want to add 69 00:04:10,720 --> 00:04:14,400 Speaker 4: an additional angle to the context of just buying hold forever, 70 00:04:14,600 --> 00:04:17,200 Speaker 4: is that deep Water we own in video. I think 71 00:04:17,240 --> 00:04:19,400 Speaker 4: the next two years are going to be far better 72 00:04:19,440 --> 00:04:22,880 Speaker 4: than what people are expecting today. But at some point, 73 00:04:22,920 --> 00:04:25,559 Speaker 4: when you're a hardware only company, there is a point 74 00:04:25,600 --> 00:04:29,159 Speaker 4: of deceleration that needs to be taken into consideration. And 75 00:04:29,240 --> 00:04:32,960 Speaker 4: I think that two years, three years from now this 76 00:04:33,040 --> 00:04:35,840 Speaker 4: may be a position that will trim, but we think 77 00:04:35,880 --> 00:04:37,520 Speaker 4: today is the time to own it. 78 00:04:37,720 --> 00:04:40,640 Speaker 1: Part of my fossil Dumb is forgetting the three employees 79 00:04:40,680 --> 00:04:44,560 Speaker 1: ago where they worked Gene Monster with deep Water, not 80 00:04:44,720 --> 00:04:47,760 Speaker 1: with Loop where he was a number of years ago. 81 00:04:47,800 --> 00:04:50,320 Speaker 1: And of course that's just I'm so happy with the 82 00:04:50,360 --> 00:04:55,760 Speaker 1: idea of Dana's Gilia and gene Munster together. We're out 83 00:04:55,760 --> 00:04:59,119 Speaker 1: on YouTube It has been a record August for us 84 00:04:59,640 --> 00:05:05,200 Speaker 1: on this this new technology. Subscribe to Bloomberg Podcasts at YouTube. 85 00:05:05,839 --> 00:05:09,200 Speaker 1: Thank you so much, particularly the international audience we didn't expect. 86 00:05:09,720 --> 00:05:13,240 Speaker 1: Boy is it There also out on Android Auto, on 87 00:05:13,360 --> 00:05:15,559 Speaker 1: Apple car Play. I know Apple car Play in twenty 88 00:05:15,640 --> 00:05:19,760 Speaker 1: countries as well. It's not just a domestic thing, sort 89 00:05:19,800 --> 00:05:22,400 Speaker 1: of breaking onto the weekend. I'll be here tomorrow, John Tucker, 90 00:05:22,520 --> 00:05:25,760 Speaker 1: We'll be here tomorrow. You know, some of the team 91 00:05:25,800 --> 00:05:28,240 Speaker 1: will be here. We're forcing the interns to come in 92 00:05:28,720 --> 00:05:44,840 Speaker 1: on Apple Podcasts. It's single best idea