1 00:00:00,200 --> 00:00:03,480 Speaker 1: Cardinal rule number one is when you're in an equity business, 2 00:00:03,640 --> 00:00:06,600 Speaker 1: listen to the bond guys. The bond guys never listen 3 00:00:06,680 --> 00:00:08,840 Speaker 1: to the equity guys. But you know, if you're like 4 00:00:08,840 --> 00:00:11,320 Speaker 1: a gene monster, you really pay attention to what the 5 00:00:11,360 --> 00:00:14,640 Speaker 1: debt side looks like as you look at your area. 6 00:00:14,720 --> 00:00:19,760 Speaker 1: Gene monsters area for decades, Piper Jeffrey and now on 7 00:00:19,760 --> 00:00:25,040 Speaker 1: his own gene monster really looking at technology gene Robert 8 00:00:25,040 --> 00:00:31,480 Speaker 1: Schiffman of Bloomberg Intelligence said, Look, Microsoft's a tripaa. Apple's 9 00:00:31,640 --> 00:00:35,400 Speaker 1: just below that. Microsoft could do twenty billion debt offering 10 00:00:35,760 --> 00:00:39,520 Speaker 1: right now and not you know, affect anything at all. 11 00:00:39,880 --> 00:00:42,800 Speaker 1: Do we have any understanding of their free cash flow? 12 00:00:43,080 --> 00:00:45,720 Speaker 1: And gene one idea, you're on their free cash flow. 13 00:00:46,360 --> 00:00:50,159 Speaker 1: Apple's retired thirty nine percent of their shares in the 14 00:00:50,240 --> 00:00:53,360 Speaker 1: last decade. Do we understand their profit? 15 00:00:55,520 --> 00:00:56,600 Speaker 2: I don't think so, Tom. 16 00:00:56,760 --> 00:00:58,680 Speaker 3: When you think of the free cash hold with Apple, 17 00:00:59,120 --> 00:01:03,760 Speaker 3: we're talking fifty to sixty billion dollars per year. That's 18 00:01:03,800 --> 00:01:07,400 Speaker 3: free cash flow. When they talk about their current cash position, 19 00:01:07,600 --> 00:01:11,080 Speaker 3: call it roughly seventy five billion. I mean they've continued 20 00:01:11,080 --> 00:01:14,119 Speaker 3: to try to whittle that down, return that to investors. 21 00:01:14,600 --> 00:01:20,000 Speaker 3: Welcome Meta to that conversation regarding returning capital. But Apple 22 00:01:20,160 --> 00:01:24,360 Speaker 3: is unique in that it is. I mean, it's mind boggling. 23 00:01:24,640 --> 00:01:27,400 Speaker 3: If you look at the past year, revenue has basically 24 00:01:27,480 --> 00:01:29,680 Speaker 3: been down two and a half percent, but they've generated 25 00:01:29,760 --> 00:01:32,240 Speaker 3: called it sixty billion in free cash flow, and I 26 00:01:32,240 --> 00:01:35,240 Speaker 3: think it just speaks to the strength of their margins. 27 00:01:35,360 --> 00:01:37,480 Speaker 1: Paul I put this out last night in preparation for 28 00:01:37,560 --> 00:01:41,600 Speaker 1: Gene Monster that I'm just had it with the sophomoric 29 00:01:41,920 --> 00:01:46,400 Speaker 1: growthiness study of the media, and it's about the profit 30 00:01:46,520 --> 00:01:51,640 Speaker 1: and as Gene mentions, Paul Zuckerberg gets the twenty twenty 31 00:01:51,680 --> 00:01:56,680 Speaker 1: three trophy. The way he shorted Facebook to a profit 32 00:01:56,960 --> 00:01:58,920 Speaker 1: juggernaf is jaw dropping. 33 00:01:58,560 --> 00:02:00,880 Speaker 4: It really is, and the stock rewarded for it too 34 00:02:00,920 --> 00:02:03,520 Speaker 4: more than doubling. Here, Hey, Gene, So last night busy 35 00:02:03,600 --> 00:02:07,480 Speaker 4: night for you and busy night for tech investors. Apple, Amazon, Meta. 36 00:02:07,600 --> 00:02:10,200 Speaker 4: I want to start with Apple here because for me 37 00:02:11,080 --> 00:02:12,880 Speaker 4: and I think for a lot of investors, it's very 38 00:02:12,960 --> 00:02:15,600 Speaker 4: much about China here, and I'm not sure I heard 39 00:02:15,639 --> 00:02:19,040 Speaker 4: anything from Koupertino last night that makes me feel more 40 00:02:19,120 --> 00:02:23,160 Speaker 4: comfortable about what's happening in China. My concern is maybe 41 00:02:23,200 --> 00:02:26,400 Speaker 4: the consumer's moving away from Western products in general and 42 00:02:26,440 --> 00:02:30,079 Speaker 4: maybe Apple in particular. How do you think about China. 43 00:02:30,320 --> 00:02:31,280 Speaker 2: China hit the wall. 44 00:02:31,320 --> 00:02:33,360 Speaker 3: It was down thirteen percent year of year, is done 45 00:02:33,360 --> 00:02:35,040 Speaker 3: two and a half percent year a year in the 46 00:02:35,120 --> 00:02:39,440 Speaker 3: September quarter, So we saw that deceleration that macro has 47 00:02:39,480 --> 00:02:42,720 Speaker 3: definitely impacted that. If you look at broader Apple business, 48 00:02:42,720 --> 00:02:45,079 Speaker 3: it was up ten percent in Europe, fifteen percent, in 49 00:02:45,160 --> 00:02:48,079 Speaker 3: Japan two percent. So if you think about what's going 50 00:02:48,120 --> 00:02:51,400 Speaker 3: on at Apple, it really can be zeroed into the 51 00:02:51,400 --> 00:02:55,080 Speaker 3: weakness in China. China's twenty percent of their business, and 52 00:02:55,120 --> 00:02:57,800 Speaker 3: then the question comes to what does China look like 53 00:02:57,880 --> 00:03:00,840 Speaker 3: going forward? And I think the answer is to continue 54 00:03:00,840 --> 00:03:03,200 Speaker 3: to expect it to be down kind of this ten 55 00:03:03,200 --> 00:03:06,800 Speaker 3: to fifteen percent for the next few quarters. There is 56 00:03:06,880 --> 00:03:09,840 Speaker 3: the question is this just a macro issue related to 57 00:03:09,919 --> 00:03:13,799 Speaker 3: China or tier point? Is there just a structural shift 58 00:03:13,800 --> 00:03:17,679 Speaker 3: away from Western products and Apple in particular. And what 59 00:03:17,720 --> 00:03:21,080 Speaker 3: we saw was some conflicting data. We saw the China 60 00:03:21,120 --> 00:03:23,640 Speaker 3: business being down like we talked about, but we also 61 00:03:23,800 --> 00:03:27,040 Speaker 3: saw that Apple in terms of its market share. IDC 62 00:03:27,320 --> 00:03:31,480 Speaker 3: reputable source said that Apple that the iPhone is now 63 00:03:31,600 --> 00:03:34,320 Speaker 3: the best selling smartphone in China for the first time 64 00:03:34,560 --> 00:03:38,000 Speaker 3: in the December quarter. And so I think the answer 65 00:03:38,080 --> 00:03:41,080 Speaker 3: is this is more about the macro. I do want 66 00:03:41,080 --> 00:03:44,840 Speaker 3: to put one other one just slightly finer point on this. 67 00:03:45,200 --> 00:03:47,560 Speaker 3: There is a dynamic of what's going on with a 68 00:03:47,640 --> 00:03:50,640 Speaker 3: government and their commentary about buying apple products. 69 00:03:51,000 --> 00:03:52,200 Speaker 2: Now, if you look at the number. 70 00:03:52,040 --> 00:03:56,160 Speaker 3: Of government employees, this basically can create about a three 71 00:03:56,200 --> 00:03:59,400 Speaker 3: percent headwind to China's business. It's not a formal policy 72 00:03:59,440 --> 00:04:02,800 Speaker 3: to avoid apple products. It's been this informal kind of 73 00:04:02,840 --> 00:04:05,360 Speaker 3: wink and nod. But I think that that probably plays 74 00:04:05,360 --> 00:04:06,080 Speaker 3: into all this too. 75 00:04:06,680 --> 00:04:08,120 Speaker 2: You roll it all together. 76 00:04:08,200 --> 00:04:10,800 Speaker 3: I still think China's a big opportunity for Apple. India 77 00:04:10,880 --> 00:04:12,920 Speaker 3: is becoming a bigger opportunity too, and I think that 78 00:04:13,720 --> 00:04:16,160 Speaker 3: I think this storm will pass. 79 00:04:16,560 --> 00:04:18,320 Speaker 4: Yeah, and that's kind of I think the message we 80 00:04:18,400 --> 00:04:21,120 Speaker 4: heard from Tim Cook. I think he's probably taken a 81 00:04:21,120 --> 00:04:23,679 Speaker 4: little bit more of a longer view. All right, let's 82 00:04:23,880 --> 00:04:26,960 Speaker 4: switch to Meta. You mentioned that, and it just what 83 00:04:27,320 --> 00:04:30,960 Speaker 4: a story here, I mean. And you know, Zuckerberg gets 84 00:04:30,960 --> 00:04:33,520 Speaker 4: a lot of criticism, and he obviously was on the 85 00:04:33,600 --> 00:04:37,400 Speaker 4: hill again recently, but boy did they turn this company 86 00:04:37,440 --> 00:04:40,599 Speaker 4: around in the last eighteen months. It was, you know, 87 00:04:40,680 --> 00:04:43,920 Speaker 4: since its inception was a top line growth story, and 88 00:04:43,960 --> 00:04:49,760 Speaker 4: then he wisely wisely focused on costs and profitability, and boy, 89 00:04:49,800 --> 00:04:52,000 Speaker 4: that's paid off for the company, which you view there'll 90 00:04:52,040 --> 00:04:52,320 Speaker 4: met him. 91 00:04:54,120 --> 00:04:57,880 Speaker 3: The cost is that's that's nice. Absolutely has paid off. 92 00:04:57,880 --> 00:05:01,520 Speaker 3: I think there's a bigger dynamic plane out here which 93 00:05:01,560 --> 00:05:04,800 Speaker 3: is just related to their demand. And they had their 94 00:05:04,800 --> 00:05:06,760 Speaker 3: revenue was up twenty five percent year over year in 95 00:05:06,800 --> 00:05:09,000 Speaker 3: the December quarter. They guided you got to go to 96 00:05:09,040 --> 00:05:10,920 Speaker 3: the high end of their guidance range because they're probably 97 00:05:10,960 --> 00:05:14,440 Speaker 3: going to exceed. That would imply an acceleration to thirty percent. 98 00:05:15,120 --> 00:05:18,080 Speaker 3: Their price per AD was up two percent year over year. 99 00:05:18,160 --> 00:05:21,000 Speaker 3: A year ago, their price per AD was down twenty 100 00:05:21,000 --> 00:05:23,880 Speaker 3: two percent. So that's outside of the whole expense control. 101 00:05:24,200 --> 00:05:26,839 Speaker 3: The AD market is better, but there's something The bigger 102 00:05:26,839 --> 00:05:30,479 Speaker 3: thing going on is this is that their products people want. 103 00:05:30,600 --> 00:05:32,720 Speaker 3: I mean, that's the maybe optimistic way to say it. 104 00:05:33,120 --> 00:05:35,839 Speaker 3: The more skeptical way to say it is their addictive 105 00:05:36,720 --> 00:05:39,000 Speaker 3: deep Water does own meta. This is something that I 106 00:05:39,040 --> 00:05:42,640 Speaker 3: struggle with, but we saw it in the numbers and 107 00:05:42,720 --> 00:05:46,320 Speaker 3: the engagement. It's playing through to the revenue. One just 108 00:05:46,400 --> 00:05:50,200 Speaker 3: other quick thought on the engagement number here, they're da used. 109 00:05:50,240 --> 00:05:51,840 Speaker 2: This is a metric. They're no longer going. 110 00:05:51,760 --> 00:05:53,920 Speaker 3: To give daily active users. But that was two point 111 00:05:54,000 --> 00:05:58,240 Speaker 3: one billion for Facebook. That was up six percent year 112 00:05:58,279 --> 00:06:01,320 Speaker 3: over year. It's an acceleration over the past few quarters. 113 00:06:01,480 --> 00:06:05,239 Speaker 3: Remarkable testimony to how people say they don't want social 114 00:06:05,320 --> 00:06:06,160 Speaker 3: but they spend all their time. 115 00:06:06,240 --> 00:06:08,960 Speaker 1: Yeah. Well, the daily average use of Instagram and the 116 00:06:09,040 --> 00:06:11,800 Speaker 1: keen household is in calculable. You can't do that number. Gee, 117 00:06:11,839 --> 00:06:15,160 Speaker 1: here's the real world. It's owned by Portfolios. Nasdaq's up 118 00:06:15,160 --> 00:06:17,520 Speaker 1: one percent right now, and we're going to pick on 119 00:06:17,560 --> 00:06:19,800 Speaker 1: our good friend Will Danoff up in Boston. He's been 120 00:06:19,839 --> 00:06:22,400 Speaker 1: doing this for a few years at a shop called Fidelity. 121 00:06:22,440 --> 00:06:25,480 Speaker 1: It's as large at holding. It's grown out where Meta 122 00:06:25,520 --> 00:06:29,600 Speaker 1: Facebook is twelve point x percent of Will Danoff's contra fund, 123 00:06:30,160 --> 00:06:32,680 Speaker 1: but he's probably under owned it as well. Just the 124 00:06:32,760 --> 00:06:36,760 Speaker 1: share price today moves contra Fund two percent off the 125 00:06:36,839 --> 00:06:41,400 Speaker 1: leap and Meta are these stocks under owned by institutional 126 00:06:41,400 --> 00:06:42,000 Speaker 1: Wall Street? 127 00:06:44,120 --> 00:06:45,400 Speaker 2: I think Meta is. 128 00:06:45,480 --> 00:06:48,359 Speaker 3: I think there's still some controversy around just what is 129 00:06:48,440 --> 00:06:52,120 Speaker 3: ultimately you know, what does their advertising business look like. 130 00:06:52,600 --> 00:06:56,080 Speaker 3: I think there's concern about regulation related to it. If 131 00:06:56,080 --> 00:06:59,039 Speaker 3: you look at the multiple relative to the other big 132 00:06:59,040 --> 00:07:02,160 Speaker 3: tech companies, it still trades at a discount. So it's 133 00:07:02,200 --> 00:07:04,800 Speaker 3: going to be I bet the earnings go up. I'm 134 00:07:04,839 --> 00:07:07,760 Speaker 3: more than twenty percent today in a stock up eighteen 135 00:07:07,760 --> 00:07:08,479 Speaker 3: percent pre market. 136 00:07:08,480 --> 00:07:09,279 Speaker 2: I bet earnings go up. 137 00:07:09,279 --> 00:07:11,920 Speaker 3: So I think the multiple probably is actually surprising, and 138 00:07:11,960 --> 00:07:13,760 Speaker 3: to stay in that low twenty range where you look 139 00:07:13,760 --> 00:07:15,960 Speaker 3: at the rest of big tech kind of loosely in 140 00:07:16,000 --> 00:07:18,920 Speaker 3: the low thirty range. And so based on that, I 141 00:07:18,960 --> 00:07:21,520 Speaker 3: don't think this is over owned, and I think that 142 00:07:21,600 --> 00:07:24,680 Speaker 3: there's again there's a room to go. I think this 143 00:07:24,720 --> 00:07:28,080 Speaker 3: should trade in line with the rest of larger tech. 144 00:07:28,160 --> 00:07:31,320 Speaker 1: Okay, so they're three trillion a guy an uber bowl 145 00:07:31,360 --> 00:07:35,680 Speaker 1: like Dan iives is what Paul Ford for trillion added 146 00:07:35,760 --> 00:07:40,360 Speaker 1: up Gene Monster In someday these four stocks, the Magnificent 147 00:07:40,400 --> 00:07:43,680 Speaker 1: four whatever, Nvidia, I'm not there yet. I know gene is. 148 00:07:43,760 --> 00:07:46,440 Speaker 1: I'm not there yet, but Gene they're going to have 149 00:07:46,480 --> 00:07:50,200 Speaker 1: an all in value of say fifteen trillion dollars? Are 150 00:07:50,200 --> 00:07:53,960 Speaker 1: they like the Rockefellers standard oil eyed to tarble of 151 00:07:53,960 --> 00:07:56,240 Speaker 1: one hundred and twenty years ago, where there's going to 152 00:07:56,280 --> 00:07:59,360 Speaker 1: be a primal cry they're too big. Are we getting 153 00:07:59,360 --> 00:07:59,920 Speaker 1: there quickly? 154 00:08:01,440 --> 00:08:04,680 Speaker 3: I think we were there three years ago, And I 155 00:08:04,680 --> 00:08:09,040 Speaker 3: think that you know, this is lessons learned from the 156 00:08:09,080 --> 00:08:13,000 Speaker 3: past here just about can things keep going about bubbles? 157 00:08:13,000 --> 00:08:14,840 Speaker 3: There was everything bubble a couple of years ago. Obviously 158 00:08:14,840 --> 00:08:17,600 Speaker 3: what happened two thousand, So I'm skeptical. I want to 159 00:08:17,600 --> 00:08:19,680 Speaker 3: be just cautious, like can this keep going? But just 160 00:08:19,760 --> 00:08:22,520 Speaker 3: the case that I think these will continue to get going, 161 00:08:22,720 --> 00:08:25,360 Speaker 3: it is as simple as artificial intelligence. I think that 162 00:08:26,080 --> 00:08:29,080 Speaker 3: this is something that now Apple has stepped into the game. 163 00:08:29,720 --> 00:08:33,280 Speaker 3: That is, is much of the rankor that goes on 164 00:08:33,320 --> 00:08:36,080 Speaker 3: Capitol Hill related to a large cap tech I think 165 00:08:36,280 --> 00:08:42,480 Speaker 3: lawmakers understand that these companies, having strong domestic companies. 166 00:08:42,000 --> 00:08:43,040 Speaker 2: They are building AI. 167 00:08:43,600 --> 00:08:45,400 Speaker 3: I think they understand the importance of that from a 168 00:08:45,480 --> 00:08:48,680 Speaker 3: national security standpoint, and so I think that they'll be 169 00:08:48,800 --> 00:08:51,160 Speaker 3: always talk of regulation. But I think these companies will 170 00:08:51,160 --> 00:08:52,080 Speaker 3: continue to get bigger. 171 00:08:52,800 --> 00:08:56,480 Speaker 1: Are you watching unc Duke this weekend with Vision Pro? 172 00:08:56,960 --> 00:08:58,760 Speaker 2: Now, I'm gonna go old school. 173 00:08:59,040 --> 00:09:01,920 Speaker 1: You're gonna go old school? Oh yeah, the Zenith with 174 00:09:02,040 --> 00:09:03,520 Speaker 1: the habit of hers Canna. 175 00:09:03,559 --> 00:09:06,360 Speaker 2: But watch get Vision Pro, Paul, What would you. 176 00:09:06,440 --> 00:09:08,520 Speaker 1: And I at least help here. What would you when 177 00:09:08,559 --> 00:09:12,920 Speaker 1: I use vision pro for I don't know. 178 00:09:12,640 --> 00:09:14,040 Speaker 4: Well, that's kind of where I want to go with 179 00:09:14,559 --> 00:09:15,600 Speaker 4: the genior gene. 180 00:09:16,040 --> 00:09:16,839 Speaker 1: Where are we? 181 00:09:16,960 --> 00:09:19,640 Speaker 4: Where is Mark Zuckerberg these days when you speak to him, 182 00:09:19,640 --> 00:09:22,640 Speaker 4: when you hear his commentary with the meta verse that 183 00:09:22,800 --> 00:09:26,040 Speaker 4: was at best at distraction for this company and at 184 00:09:26,080 --> 00:09:29,440 Speaker 4: worst maybe a real suckhole in terms of a capital investment. 185 00:09:29,440 --> 00:09:30,280 Speaker 4: Where are we with that? 186 00:09:32,280 --> 00:09:34,240 Speaker 3: I hope we're wrapping it up, but I think the 187 00:09:34,320 --> 00:09:37,880 Speaker 3: reality is that they're doubling down. And again mentioned we're 188 00:09:37,920 --> 00:09:41,440 Speaker 3: investors of the metal. We wish they would essentially pair 189 00:09:41,520 --> 00:09:44,199 Speaker 3: back what they're doing there. The simple reason is they 190 00:09:44,240 --> 00:09:46,240 Speaker 3: had a billion in revenue first quarter of a billion 191 00:09:46,240 --> 00:09:49,200 Speaker 3: in revenue, and Reality Labs they lost four billion. They 192 00:09:49,240 --> 00:09:51,560 Speaker 3: said that the amount of losses annually are going to increase. 193 00:09:51,640 --> 00:09:53,679 Speaker 3: This is going to be fifteen billion dollar plus. This 194 00:09:53,760 --> 00:09:56,240 Speaker 3: is this is real numbers, even for these big companies. 195 00:09:56,240 --> 00:09:59,400 Speaker 3: They're spending a lot. What Apple is showing today with 196 00:09:59,559 --> 00:10:03,120 Speaker 3: vision from a technology from a price standpoint, it's seven 197 00:10:03,160 --> 00:10:06,920 Speaker 3: times higher. From a technology point, it's probably thirty x better. 198 00:10:07,400 --> 00:10:11,400 Speaker 3: And I think ultimately is that what Meta wants to 199 00:10:11,440 --> 00:10:13,000 Speaker 3: be spatial computing. 200 00:10:13,040 --> 00:10:14,719 Speaker 2: The metaverse for the masses. 201 00:10:14,400 --> 00:10:17,559 Speaker 3: Is that I do believe that that will roll out eventually, 202 00:10:18,360 --> 00:10:21,480 Speaker 3: so but I wish that they just wouldn't spend as much. 203 00:10:21,559 --> 00:10:23,880 Speaker 3: Spend five billion a year, not fifteen billion a year. 204 00:10:24,120 --> 00:10:27,240 Speaker 3: But to answer your question, Paul, where are they? They're doubling, 205 00:10:27,280 --> 00:10:30,280 Speaker 3: tripling down on this and I kind of see this 206 00:10:30,320 --> 00:10:32,080 Speaker 3: as BlackBerry versus the iPhone. 207 00:10:32,400 --> 00:10:32,600 Speaker 2: Hey. 208 00:10:33,520 --> 00:10:38,400 Speaker 4: The third company reporting last night? Amazon boy another really good. 209 00:10:38,600 --> 00:10:40,720 Speaker 1: I thought they would like they were terrible. 210 00:10:41,360 --> 00:10:43,640 Speaker 4: Stocks up about six and a half percent pre market, 211 00:10:43,679 --> 00:10:46,440 Speaker 4: trading up about forty percent over the trailing twelve months. 212 00:10:46,520 --> 00:10:46,640 Speaker 2: Here. 213 00:10:46,679 --> 00:10:48,960 Speaker 4: What did you hear from Amazon last night? 214 00:10:49,040 --> 00:10:52,560 Speaker 3: Geen, Well, this one, just in terms of the stock 215 00:10:52,600 --> 00:10:55,600 Speaker 3: reaction is a surprise to me. I would if you'd 216 00:10:55,600 --> 00:10:57,800 Speaker 3: have given me the press release beforehand out has said 217 00:10:57,800 --> 00:11:00,400 Speaker 3: it's down a few percent. So what we heard last 218 00:11:00,480 --> 00:11:04,200 Speaker 3: night was that AWS, which is typically the pressure. 219 00:11:03,840 --> 00:11:06,120 Speaker 2: Point that people focus on, was up thirteen percent. 220 00:11:06,760 --> 00:11:09,160 Speaker 3: That was compares to twelve and a half percent growth 221 00:11:09,160 --> 00:11:12,000 Speaker 3: in the September quarter and twelve point two percent in 222 00:11:12,040 --> 00:11:14,240 Speaker 3: the June quarter. So we saw, I would say, a 223 00:11:14,520 --> 00:11:19,000 Speaker 3: fifty basis points acceleration. Compare that to what Google Cloud did. 224 00:11:19,040 --> 00:11:21,400 Speaker 3: They showed a three hundred and twenty basis point acceleration 225 00:11:21,520 --> 00:11:24,520 Speaker 3: to twenty six percent, an Azure one hundred basis point 226 00:11:24,520 --> 00:11:29,120 Speaker 3: acceleration to thirty percent. Put all this together, AWS should 227 00:11:29,120 --> 00:11:33,080 Speaker 3: and continue to be the focus for Amazon investors. And 228 00:11:33,120 --> 00:11:35,760 Speaker 3: in fact, yes it showed acceleration, but it still is 229 00:11:35,840 --> 00:11:37,040 Speaker 3: losing share notably. 230 00:11:37,320 --> 00:11:38,280 Speaker 2: And I think when. 231 00:11:38,080 --> 00:11:41,480 Speaker 3: You fast forward this six twelve, twenty four months from 232 00:11:41,480 --> 00:11:44,120 Speaker 3: now and think about how these platforms are going to 233 00:11:44,120 --> 00:11:47,840 Speaker 3: be adding more AI capabilities for the people that use them, 234 00:11:48,200 --> 00:11:52,199 Speaker 3: I think that advantage Microsoft and Google. So I think 235 00:11:52,200 --> 00:11:55,400 Speaker 3: it's going to be increasingly competitive. The reason why the 236 00:11:55,440 --> 00:11:58,760 Speaker 3: stock is up is because they beat earnings by operating 237 00:11:58,840 --> 00:11:59,960 Speaker 3: income by fifty percent. 238 00:12:00,040 --> 00:12:00,600 Speaker 2: They crushed it. 239 00:12:01,000 --> 00:12:04,840 Speaker 3: And this is like the roller coaster game of Amazon 240 00:12:04,880 --> 00:12:07,520 Speaker 3: and earnings. You get a boom bust cycle for two 241 00:12:07,640 --> 00:12:09,480 Speaker 3: or three quarters, and then a boom cycle and then 242 00:12:09,480 --> 00:12:10,080 Speaker 3: a bus cycle. 243 00:12:10,120 --> 00:12:11,840 Speaker 2: And so Paul, to put. 244 00:12:11,760 --> 00:12:15,040 Speaker 3: It all together, I think Amazon quarter was good. It 245 00:12:15,080 --> 00:12:18,599 Speaker 3: wasn't great. They got people excited about this rufus, this 246 00:12:20,800 --> 00:12:25,360 Speaker 3: assistant shopper. I think it's pretty cool. I think it's 247 00:12:25,559 --> 00:12:29,920 Speaker 3: gonna help engagement, help people find products better on Amazon, 248 00:12:30,240 --> 00:12:33,319 Speaker 3: good use of AI, but to me doesn't justify what's 249 00:12:33,320 --> 00:12:34,480 Speaker 3: happening with the stock this morning. 250 00:12:34,520 --> 00:12:37,000 Speaker 4: All right, let's step back a little bit, Geane. We 251 00:12:37,280 --> 00:12:38,959 Speaker 4: kind of ran through the big three tech names that 252 00:12:39,040 --> 00:12:42,559 Speaker 4: reported last night. I love to get your view here 253 00:12:42,640 --> 00:12:44,520 Speaker 4: now that we've had a little bit of perspective here 254 00:12:44,520 --> 00:12:46,800 Speaker 4: four five, six quarters, where we've had a lot of 255 00:12:46,840 --> 00:12:49,840 Speaker 4: these companies talking about generative AI. I love to get 256 00:12:49,880 --> 00:12:53,520 Speaker 4: your view as to kind of how you think it. 257 00:12:53,520 --> 00:12:56,960 Speaker 4: It kind of really sits as a theme in technology. 258 00:12:57,320 --> 00:12:57,959 Speaker 2: Is it real? 259 00:12:58,559 --> 00:13:00,560 Speaker 4: Is it? And how material is it? And how do 260 00:13:00,600 --> 00:13:03,320 Speaker 4: you play it? So? 261 00:13:03,440 --> 00:13:06,120 Speaker 2: Is it real? Yes? How material is it? 262 00:13:06,200 --> 00:13:09,600 Speaker 3: The example my framework is that if you do the 263 00:13:09,600 --> 00:13:11,360 Speaker 3: scale of zero to one hundred. We've talked about this 264 00:13:11,440 --> 00:13:14,200 Speaker 3: zero to one hundred, one hundred being electricity. I would 265 00:13:14,200 --> 00:13:18,640 Speaker 3: put the smartphone in terms of importance. Electricity is one hundred, 266 00:13:18,840 --> 00:13:22,800 Speaker 3: smartphones twenty five, The Internet's fifty. And I think jenre 267 00:13:22,880 --> 00:13:25,520 Speaker 3: of AI and AI more broadly as ninety. I think 268 00:13:25,559 --> 00:13:29,320 Speaker 3: it is just a step function. And I think we're 269 00:13:29,440 --> 00:13:31,560 Speaker 3: entering what's going to be a three to five year 270 00:13:31,880 --> 00:13:36,280 Speaker 3: bowl market that's going to culminate in a bubble. By definition, 271 00:13:36,360 --> 00:13:39,280 Speaker 3: almost has to happen. If this is in fact, ninety 272 00:13:39,679 --> 00:13:42,960 Speaker 3: out of one hundred, we will see a bubble. So 273 00:13:44,520 --> 00:13:47,960 Speaker 3: I'm on board that these can be transformative. 274 00:13:48,160 --> 00:13:51,200 Speaker 2: I mean, we saw Tim Cook finally utter those. 275 00:13:51,080 --> 00:13:55,040 Speaker 3: Two letters yesterday in the prepared remarks, and I think 276 00:13:55,080 --> 00:13:57,520 Speaker 3: they're it's setting Apple up to enter as with a 277 00:13:57,559 --> 00:14:01,280 Speaker 3: foundation model this year. So big picture, it's it's I 278 00:14:01,280 --> 00:14:06,320 Speaker 3: think it's hard to under under states how meaningful of 279 00:14:06,320 --> 00:14:07,360 Speaker 3: a change this is going to be. 280 00:14:07,600 --> 00:14:10,199 Speaker 1: Gene, I wanted to shift here to long ago and 281 00:14:10,320 --> 00:14:12,440 Speaker 1: far away when we hung on every word you said 282 00:14:12,440 --> 00:14:16,200 Speaker 1: at Piper Jeffrey about should we be in these stocks. 283 00:14:16,240 --> 00:14:19,200 Speaker 1: There's a lot of people listening and watching on YouTube 284 00:14:19,240 --> 00:14:23,320 Speaker 1: and car play who are saying I'm in this, or 285 00:14:23,360 --> 00:14:24,880 Speaker 1: I think I'm in it in my four oh one 286 00:14:24,960 --> 00:14:27,600 Speaker 1: k or I'm not in it, and damn I got 287 00:14:27,600 --> 00:14:30,520 Speaker 1: to get into it. But I'm scared, stiff. I want 288 00:14:30,560 --> 00:14:35,440 Speaker 1: you to talk the five year vision of these companies 289 00:14:35,480 --> 00:14:38,640 Speaker 1: that have come so far in the last decade. Do 290 00:14:38,720 --> 00:14:42,720 Speaker 1: you extrapolate out the present trends? Is there a lesser 291 00:14:42,880 --> 00:14:46,080 Speaker 1: slope or dare I say, can they even get convexity 292 00:14:46,120 --> 00:14:50,800 Speaker 1: and accelerate free cash flow revenue? Growth their position within 293 00:14:50,880 --> 00:14:53,320 Speaker 1: American society. 294 00:14:54,280 --> 00:14:56,920 Speaker 3: I think when you look at the kind of scope 295 00:14:57,000 --> 00:15:02,080 Speaker 3: of where wealth will be created around AI, I generally 296 00:15:02,120 --> 00:15:03,920 Speaker 3: think of it as in three buckets. I think that 297 00:15:04,000 --> 00:15:07,440 Speaker 3: there's the we'll call it the safe bet, and I 298 00:15:07,440 --> 00:15:10,280 Speaker 3: think that is this megacap tech. And I think it's 299 00:15:10,320 --> 00:15:11,960 Speaker 3: not just own the magnificent seven. 300 00:15:12,040 --> 00:15:12,640 Speaker 2: I think they are. 301 00:15:13,640 --> 00:15:16,680 Speaker 3: I think they're I think the best one surprisingly is Google. 302 00:15:16,720 --> 00:15:20,240 Speaker 3: I think the best opportunity that's underappreciated relative to what's 303 00:15:20,240 --> 00:15:23,160 Speaker 3: happened with the other ones. I think Google. So this 304 00:15:23,200 --> 00:15:25,920 Speaker 3: is not investment advice, but from our perspective, we own 305 00:15:25,920 --> 00:15:29,120 Speaker 3: Google a meta and so continue to do that. Continue 306 00:15:29,160 --> 00:15:31,160 Speaker 3: to think that's a great place to be, even with 307 00:15:31,520 --> 00:15:35,280 Speaker 3: the upside that they've had. But we also believe that 308 00:15:35,360 --> 00:15:39,280 Speaker 3: AI is going to have a profound impact on companies 309 00:15:39,280 --> 00:15:42,120 Speaker 3: that are are less well known. We have an ETF 310 00:15:42,200 --> 00:15:45,400 Speaker 3: the tickers l O up. It's a frontier tech, which 311 00:15:45,440 --> 00:15:49,720 Speaker 3: means that it effectively identifies what are the transformative themes 312 00:15:49,760 --> 00:15:51,360 Speaker 3: over the next three to five years. AI is a 313 00:15:51,400 --> 00:15:53,320 Speaker 3: big part of that. But I think some of these 314 00:15:53,360 --> 00:15:56,400 Speaker 3: smaller companies that haven't had this tremendous run. 315 00:15:56,720 --> 00:15:58,400 Speaker 2: I think that's a. 316 00:15:57,880 --> 00:16:01,560 Speaker 3: Meaningful opportunity as well. And then the last piece is 317 00:16:01,600 --> 00:16:06,160 Speaker 3: what we call the ordained late stage private companies. These 318 00:16:06,160 --> 00:16:10,680 Speaker 3: are companies like Hugging Face and Data Bricks and open 319 00:16:10,720 --> 00:16:15,840 Speaker 3: AI and Thropic. These are companies that are peer play 320 00:16:15,920 --> 00:16:18,640 Speaker 3: AI companies. And so I want to go back and 321 00:16:18,680 --> 00:16:22,120 Speaker 3: just answer your question specifically, Tom, is that yes, I 322 00:16:22,160 --> 00:16:25,840 Speaker 3: think you should continue to own a select companies within 323 00:16:26,440 --> 00:16:28,920 Speaker 3: the magnificent seven because I think they'll continue to benefit. 324 00:16:29,360 --> 00:16:33,440 Speaker 3: But as far as trying to get out performance relative 325 00:16:33,480 --> 00:16:35,320 Speaker 3: to the market, I think you need to try to 326 00:16:35,360 --> 00:16:38,520 Speaker 3: search for some of those less well known sub one 327 00:16:38,560 --> 00:16:41,520 Speaker 3: hundred billion dollars we call that small now sub one 328 00:16:41,600 --> 00:16:43,720 Speaker 3: hundred billion dollars small tech companies. 329 00:16:43,800 --> 00:16:45,160 Speaker 1: I'm long weighing lambs. 330 00:16:45,480 --> 00:16:49,840 Speaker 4: They don't we labs exactly, all right, So gene in 331 00:16:50,160 --> 00:16:53,400 Speaker 4: your fund here, what are some of the names that 332 00:16:53,440 --> 00:16:56,480 Speaker 4: you guys own that maybe maybe people don't think about. 333 00:16:56,520 --> 00:16:58,920 Speaker 4: I mean, everybody's you know, kind of feels like they 334 00:16:58,920 --> 00:17:00,680 Speaker 4: have their own call on on in the Apples of 335 00:17:00,680 --> 00:17:02,480 Speaker 4: the world, the Amazon's of the world, other parts of 336 00:17:02,520 --> 00:17:06,120 Speaker 4: the tech space that you think are underappreciated out there. 337 00:17:07,800 --> 00:17:11,040 Speaker 3: Yeah, we actually go and look for companies off that 338 00:17:11,080 --> 00:17:13,640 Speaker 3: beaten path. I mean there's one company, New Bank, Tipker 339 00:17:14,520 --> 00:17:18,280 Speaker 3: and you as in November uniform and New Bank is 340 00:17:18,320 --> 00:17:21,000 Speaker 3: the fastest growing bank in Latin America. They've basically gone 341 00:17:21,040 --> 00:17:24,600 Speaker 3: from nothing to about eight percent share large like one 342 00:17:24,640 --> 00:17:27,639 Speaker 3: in two people in Brazil use a form of New Bank. 343 00:17:27,960 --> 00:17:32,240 Speaker 3: But they're using artificial intelligence to help better identify get 344 00:17:32,240 --> 00:17:36,800 Speaker 3: the underbank population to be banked. And it's a great 345 00:17:36,960 --> 00:17:39,200 Speaker 3: use case of that and it works. It works for 346 00:17:39,280 --> 00:17:42,600 Speaker 3: risk management. So New Bank is a company that we 347 00:17:42,680 --> 00:17:46,560 Speaker 3: own Coupong maybe you may not, maybe a new one. 348 00:17:47,040 --> 00:17:51,520 Speaker 3: Think of this as the Amazon of South Korea and 349 00:17:51,960 --> 00:17:55,359 Speaker 3: they basically have a pole position there. South Korea is 350 00:17:55,680 --> 00:17:59,800 Speaker 3: doing relatively well. And then the last one Marcato Libre 351 00:18:01,240 --> 00:18:03,720 Speaker 3: and I hope both of you are sitting down for 352 00:18:03,800 --> 00:18:08,480 Speaker 3: this one. Just recently we added we spent a lot 353 00:18:08,520 --> 00:18:11,520 Speaker 3: of time seven years working in China covering these big 354 00:18:11,640 --> 00:18:14,520 Speaker 3: bringing a lot of these companies public, the tech companies 355 00:18:14,560 --> 00:18:18,200 Speaker 3: in China. We've just in the last few weeks actually 356 00:18:18,640 --> 00:18:22,920 Speaker 3: UH made some investments in some Chinese equities tech equities. 357 00:18:23,359 --> 00:18:26,399 Speaker 1: WHOA, I think we'll leave it there. Go call my broker, 358 00:18:27,160 --> 00:18:29,080 Speaker 1: Gene Munster generous of you to be with. 359 00:18:29,119 --> 00:18:29,280 Speaker 2: Thank