1 00:00:02,400 --> 00:00:14,480 Speaker 1: Bloomberg Audio Studios, Podcasts, radio news, single best in Vidio. 2 00:00:14,680 --> 00:00:17,000 Speaker 1: That's the name of the podcast today, Single best idea, 3 00:00:17,000 --> 00:00:20,000 Speaker 1: and of course we're gonna do in vidio and some great, 4 00:00:20,040 --> 00:00:23,479 Speaker 1: great comments, respectful comments out on YouTube. The live chat, 5 00:00:23,680 --> 00:00:26,400 Speaker 1: which is really valuable. I can't say enough about the 6 00:00:26,440 --> 00:00:29,960 Speaker 1: live chat. A big surprise to me. I was like, yeah, yeah, yeah, 7 00:00:30,000 --> 00:00:32,800 Speaker 1: you know, there it is. We're on YouTube, search Bloomberg Podcasts, 8 00:00:33,360 --> 00:00:37,520 Speaker 1: subscribe to Bloomberg Podcasts and there's this really active, intelligent 9 00:00:37,640 --> 00:00:42,320 Speaker 1: live chat. And you know, somebody said, okay, enough in video, 10 00:00:43,159 --> 00:00:47,199 Speaker 1: and I really I respect the idea, except I got 11 00:00:47,200 --> 00:00:50,199 Speaker 1: a lot of pro saying this just permeates through everything 12 00:00:50,280 --> 00:00:55,440 Speaker 1: we do, everything we think of future within investment, bonds, 13 00:00:55,800 --> 00:00:59,480 Speaker 1: equities and all. So we're gonna do one topic today 14 00:00:59,480 --> 00:01:03,360 Speaker 1: in video in honor of the impact they've had. I 15 00:01:03,760 --> 00:01:07,720 Speaker 1: looked very carefully yesterday at the Nvidia Financials see if 16 00:01:07,800 --> 00:01:12,200 Speaker 1: O discussion and the chief financial officer and the temperament 17 00:01:12,200 --> 00:01:14,559 Speaker 1: to tend to one stocks but dividend increase and all, 18 00:01:15,200 --> 00:01:18,480 Speaker 1: and I got to admit, they're not running like a 19 00:01:18,520 --> 00:01:22,600 Speaker 1: bunch of arrogant over educated types that we think we 20 00:01:22,680 --> 00:01:25,200 Speaker 1: know in the stereotype of technology. It just seems to 21 00:01:25,240 --> 00:01:30,840 Speaker 1: be like a very serious effort to wrestle with there's 22 00:01:30,880 --> 00:01:34,360 Speaker 1: a like that word, Eric, there's a sophisticated word to 23 00:01:34,440 --> 00:01:40,800 Speaker 1: wrestle with the future of technology. Someone very attuned to 24 00:01:40,840 --> 00:01:45,080 Speaker 1: this is from a technology powerhouse, t ro Price of Baltimore, 25 00:01:45,200 --> 00:01:50,360 Speaker 1: invented by side technology analysis. Carrying that forward in global 26 00:01:50,360 --> 00:01:55,600 Speaker 1: asset allocation is Sebastian Page. Here's Sebastian page on Nvidia. 27 00:01:55,680 --> 00:01:59,040 Speaker 2: I don't think this is any way comfortable to the 28 00:01:59,080 --> 00:02:04,080 Speaker 2: tech bubble. In fact, nvidious price earning is down. Yeah, you, Paul, 29 00:02:04,120 --> 00:02:07,480 Speaker 2: you talked about how much sales they've created. They've created 30 00:02:07,480 --> 00:02:11,560 Speaker 2: about forty five billion in net profits in about two years. 31 00:02:12,040 --> 00:02:17,240 Speaker 2: So there's fundamentals behind this AI rally. My colleague dumb Rizzo, 32 00:02:17,320 --> 00:02:20,639 Speaker 2: he runs a global tech fund. I'm an asset allocator. Yeah, 33 00:02:20,680 --> 00:02:23,720 Speaker 2: I've never been so interested in stocks because they're just 34 00:02:23,840 --> 00:02:26,280 Speaker 2: so big and they drive asset returns. 35 00:02:26,520 --> 00:02:29,160 Speaker 1: The Sebastian page here, And of course a huge part 36 00:02:29,200 --> 00:02:32,200 Speaker 1: of the study of assets is do you look at 37 00:02:32,240 --> 00:02:35,720 Speaker 1: individual stocks, do you look at sectors? Do you look 38 00:02:35,760 --> 00:02:39,960 Speaker 1: at in and out market timing? The basic you know, 39 00:02:40,200 --> 00:02:44,200 Speaker 1: iconic idea of sixty percent stocks, forty percent bonds, any 40 00:02:44,280 --> 00:02:46,799 Speaker 1: number of ways to go here. You'll hear the word factors, 41 00:02:46,880 --> 00:02:50,640 Speaker 1: what's the fact momentum is a factor, and mostly what 42 00:02:50,760 --> 00:02:53,440 Speaker 1: I look at I've been I will do this over 43 00:02:53,480 --> 00:02:56,400 Speaker 1: the long weekend. I'm going back and I'm reading all 44 00:02:56,440 --> 00:02:59,880 Speaker 1: of Michael Mobison, the giant at Credit Suite, and like Mason, 45 00:03:00,880 --> 00:03:06,400 Speaker 1: and the basic idea here of getting away from CFA 46 00:03:06,560 --> 00:03:11,280 Speaker 1: type consensus of fifty years of research to just capital 47 00:03:11,320 --> 00:03:16,400 Speaker 1: allocation and return on invested capital and the basic idea 48 00:03:16,600 --> 00:03:19,160 Speaker 1: of what do you do with the free cash flow? 49 00:03:19,720 --> 00:03:23,160 Speaker 1: And one of the huge, huge issues here for these 50 00:03:23,200 --> 00:03:27,200 Speaker 1: tech winners is their capex is really measured compared to 51 00:03:27,240 --> 00:03:32,200 Speaker 1: the free cash flow that's coming in the insight. Yesterday 52 00:03:33,760 --> 00:03:36,920 Speaker 1: on in video was Gene Monster deep Water Asset Management, 53 00:03:37,440 --> 00:03:39,720 Speaker 1: and he said, look, in purchasing, they're going to say 54 00:03:39,960 --> 00:03:42,240 Speaker 1: you got to buy the old chips or you don't 55 00:03:42,240 --> 00:03:43,840 Speaker 1: get the new chips. I thought that was just a 56 00:03:43,840 --> 00:03:47,320 Speaker 1: brilliant idea. It's the Osborne effect. I'm the only one 57 00:03:47,360 --> 00:03:51,560 Speaker 1: you know they actually owned an Osbourne computer. Cost me 58 00:03:51,560 --> 00:03:54,520 Speaker 1: a fortune, was absolutely useless, but it was cool. It 59 00:03:54,640 --> 00:03:58,160 Speaker 1: was very cool at the time. Here's Gene monster on 60 00:03:58,280 --> 00:03:58,760 Speaker 1: in video. 61 00:03:59,000 --> 00:04:02,160 Speaker 3: They are a mature company. They're going to do over 62 00:04:02,160 --> 00:04:04,600 Speaker 3: one hundred billion revenue this year, call it. It's going 63 00:04:04,640 --> 00:04:06,840 Speaker 3: to be approaching the three trillion dollar market cap, one 64 00:04:06,840 --> 00:04:09,920 Speaker 3: of the top three companies, and they're acting like it. 65 00:04:09,960 --> 00:04:12,720 Speaker 3: They do not act like people who are trying to 66 00:04:12,880 --> 00:04:18,200 Speaker 3: pump up a theme. The results are backing it up. 67 00:04:18,240 --> 00:04:20,800 Speaker 3: The guidance is backing it up. They beat a high 68 00:04:20,839 --> 00:04:23,440 Speaker 3: bar by six percent, they guide it up July by 69 00:04:23,480 --> 00:04:26,400 Speaker 3: five percent, and those guidance and I think this is 70 00:04:26,440 --> 00:04:30,240 Speaker 3: a sign of a mature management team. They keep exceeding. 71 00:04:30,400 --> 00:04:34,160 Speaker 3: Over the last four quarters, they've been exceeding those expectations, 72 00:04:34,200 --> 00:04:38,919 Speaker 3: and so that discipline around guidance is yet another example 73 00:04:38,960 --> 00:04:41,520 Speaker 3: I think of how they are being mature about this. 74 00:04:41,680 --> 00:04:44,320 Speaker 3: And they got good reason to be feeling good about 75 00:04:44,360 --> 00:04:47,919 Speaker 3: things for two reasons. One is that they've got products 76 00:04:47,960 --> 00:04:50,880 Speaker 3: that no one else has, and separately is they're still 77 00:04:50,920 --> 00:04:53,159 Speaker 3: in the early innings of what is going to be 78 00:04:53,760 --> 00:04:57,120 Speaker 3: the most breathtaking shift in technology that we've seen in 79 00:04:57,120 --> 00:04:58,119 Speaker 3: the past hundred years. 80 00:04:58,480 --> 00:05:01,560 Speaker 1: Gene Munster and I want to review what he said 81 00:05:01,600 --> 00:05:03,680 Speaker 1: because I just think it's so important if you have 82 00:05:03,800 --> 00:05:07,600 Speaker 1: a developing chip line and you think there's a new 83 00:05:07,680 --> 00:05:11,760 Speaker 1: chip coming, you stop buying the present chip waiting for 84 00:05:11,800 --> 00:05:16,200 Speaker 1: the new chip. And basically Osborne Computer fifty years ago, 85 00:05:16,279 --> 00:05:18,479 Speaker 1: forty five years ago said no, no, no, no, you have 86 00:05:18,520 --> 00:05:21,400 Speaker 1: to keep buying the present chip or you don't get 87 00:05:21,400 --> 00:05:25,160 Speaker 1: the new chip. And gene Monster feels very strongly in 88 00:05:25,279 --> 00:05:28,279 Speaker 1: video will use that effect with all the different clients 89 00:05:28,320 --> 00:05:33,120 Speaker 1: to keep the revenue persistency going. At a video, our 90 00:05:33,200 --> 00:05:35,520 Speaker 1: persistency will try to get to the weekend. We do 91 00:05:35,640 --> 00:05:38,680 Speaker 1: that with Apple car, play with Android and on YouTube, 92 00:05:38,720 --> 00:05:45,160 Speaker 1: search Bloomberg Podcasts, subscribe to Bloomberg Podcast Bonus. Lisa Matteo 93 00:05:45,560 --> 00:05:48,640 Speaker 1: out in the live chat of YouTube, this is single 94 00:05:48,680 --> 00:05:49,560 Speaker 1: best idea 95 00:06:00,920 --> 00:06:02,800 Speaker 2: Damaging