1 00:00:00,200 --> 00:00:04,320 Speaker 1: Gene Munster joins US co founder deep Water Asset Management Gene. 2 00:00:04,360 --> 00:00:06,240 Speaker 1: I've got like eight ways to go. Let's start at 3 00:00:06,280 --> 00:00:09,280 Speaker 1: sixty thousand feet. I'm in the theme that if it 4 00:00:09,280 --> 00:00:12,840 Speaker 1: ain't broke, don't fix it. The next Magnificent seven had 5 00:00:12,880 --> 00:00:16,360 Speaker 1: a Magnificent twenty twenty three. I just don't buy the 6 00:00:16,400 --> 00:00:20,480 Speaker 1: idea it ends. Will it continue into this year and next. 7 00:00:21,920 --> 00:00:25,239 Speaker 2: For the year, I think it absolutely will. And what 8 00:00:25,280 --> 00:00:28,160 Speaker 2: we're seeing as a gravitational pull when it comes to 9 00:00:28,800 --> 00:00:33,080 Speaker 2: the AI opportunity with Magnificent seven and also what I 10 00:00:33,120 --> 00:00:36,840 Speaker 2: would call the Ordained fifteen, which are the private late 11 00:00:36,920 --> 00:00:41,120 Speaker 2: stage AI companies, and I think that's where all the 12 00:00:41,200 --> 00:00:42,839 Speaker 2: traction is going to happen. I would say there's a 13 00:00:42,880 --> 00:00:44,920 Speaker 2: mag seven on the public side, there's also going to 14 00:00:44,920 --> 00:00:48,480 Speaker 2: be this Magnificent seven or ten on the private side. 15 00:00:48,520 --> 00:00:50,920 Speaker 2: But yes, Tom, I think it's going to continue, I 16 00:00:50,960 --> 00:00:54,480 Speaker 2: would caution, and continue. 17 00:00:54,040 --> 00:00:54,360 Speaker 3: For the year. 18 00:00:54,360 --> 00:00:57,720 Speaker 2: I would caution this earnings period is going to be 19 00:00:57,880 --> 00:01:00,800 Speaker 2: a lot of intensity, a lot of focus from related 20 00:01:00,800 --> 00:01:06,120 Speaker 2: to commentary about AI contribution in twenty twenty four. I 21 00:01:06,160 --> 00:01:08,880 Speaker 2: think that is the a topic that's going to orbit 22 00:01:08,959 --> 00:01:12,119 Speaker 2: around the mag seven for this earnings period, and I 23 00:01:12,200 --> 00:01:16,160 Speaker 2: suspect that the commentary is going to be relatively muted, 24 00:01:16,360 --> 00:01:20,000 Speaker 2: or the commentary will be we expect some contribution the 25 00:01:20,080 --> 00:01:22,480 Speaker 2: good news, so I think that that could cause a 26 00:01:22,520 --> 00:01:24,759 Speaker 2: near term pause in some of these stocks. I think 27 00:01:24,800 --> 00:01:27,840 Speaker 2: the good news for a lot of these for the companies, 28 00:01:27,840 --> 00:01:31,120 Speaker 2: if you look at the estimates for the December quarter 29 00:01:31,160 --> 00:01:33,119 Speaker 2: for the growth rates and then for the full year 30 00:01:33,160 --> 00:01:36,280 Speaker 2: of twenty twenty four, December twenty three and twenty twenty four, 31 00:01:36,959 --> 00:01:41,360 Speaker 2: analysts aren't really expecting much contribution from AI. I think 32 00:01:42,000 --> 00:01:45,399 Speaker 2: psychologically it's a bigger topic than it is relative to 33 00:01:45,400 --> 00:01:47,600 Speaker 2: the numbers. But I just I think that these companies 34 00:01:47,600 --> 00:01:51,640 Speaker 2: are going to continue to do well. I do anticipate 35 00:01:51,680 --> 00:01:54,440 Speaker 2: this earnings period to be mixed in terms of the 36 00:01:54,440 --> 00:01:55,120 Speaker 2: stock reaction. 37 00:01:55,280 --> 00:01:59,000 Speaker 1: Early Gene Monster monsters so large. There's early Gene Monster, 38 00:01:59,080 --> 00:02:01,960 Speaker 1: Middle Gene Monster, and later Gene Monster. Early Gene Monster 39 00:02:02,480 --> 00:02:05,040 Speaker 1: was fourteen page or from Piper Jeffrey, which came in 40 00:02:05,080 --> 00:02:07,559 Speaker 1: at four pm and you had to read it by dinner. 41 00:02:07,960 --> 00:02:08,919 Speaker 3: You couldn't focus. 42 00:02:09,240 --> 00:02:11,040 Speaker 1: And in the back of it he always had these 43 00:02:11,080 --> 00:02:14,600 Speaker 1: brilliant some of the parts analysis Gene Monster for the 44 00:02:14,680 --> 00:02:18,640 Speaker 1: magnificent seven for Apple and Microsoft in particular. What does 45 00:02:18,760 --> 00:02:20,440 Speaker 1: some of the parts look like right now? 46 00:02:21,080 --> 00:02:23,480 Speaker 2: Well, there's some of the parts. It's ultimately when you 47 00:02:23,480 --> 00:02:27,440 Speaker 2: think about Apple, it's about services, it's about from you 48 00:02:27,520 --> 00:02:29,040 Speaker 2: put all this together, I think it's better than a 49 00:02:29,040 --> 00:02:32,680 Speaker 2: three trillion dollar company. I think the iPhone business today 50 00:02:32,720 --> 00:02:35,480 Speaker 2: it's just over half of their total revenue. I think 51 00:02:35,560 --> 00:02:39,320 Speaker 2: in aggregate that should be should trade at essentially a 52 00:02:39,320 --> 00:02:43,000 Speaker 2: thirty five multiple. I think that multiple is justified given 53 00:02:43,560 --> 00:02:46,520 Speaker 2: even though it doesn't grow much. I think it's justified 54 00:02:46,520 --> 00:02:50,080 Speaker 2: because these devices have become substance to our life. We 55 00:02:50,120 --> 00:02:53,000 Speaker 2: can't live without these Basically half the people in the 56 00:02:53,080 --> 00:02:55,799 Speaker 2: US can't live without these devices. And so I think 57 00:02:55,800 --> 00:02:57,960 Speaker 2: that you put this together, I think this is a 58 00:02:58,000 --> 00:03:00,959 Speaker 2: three plus trillion dollar company. I think that there is 59 00:03:01,000 --> 00:03:03,480 Speaker 2: a lot of uncertainty related to Apple at this time. 60 00:03:03,520 --> 00:03:06,880 Speaker 2: I haven't I haven't recalled a time in Apple's history 61 00:03:06,919 --> 00:03:10,840 Speaker 2: when there's been as much concern really going into this. 62 00:03:11,200 --> 00:03:14,000 Speaker 2: To a quarter, there's concern about the iPhone demand, he's 63 00:03:14,080 --> 00:03:16,440 Speaker 2: concerned about some of the delays that they've had, or 64 00:03:16,480 --> 00:03:18,680 Speaker 2: taking some of that watch half off the table because 65 00:03:18,720 --> 00:03:22,440 Speaker 2: of the blood oxygen monitoring, and there's also some concerns 66 00:03:22,440 --> 00:03:26,120 Speaker 2: related to how their app store policies are changing, specifically 67 00:03:26,200 --> 00:03:28,800 Speaker 2: related to steering in the impact on the app store revenue. 68 00:03:29,120 --> 00:03:31,920 Speaker 2: But I think that I think that you know when 69 00:03:31,960 --> 00:03:34,720 Speaker 2: you when you course these out, I think that this 70 00:03:34,760 --> 00:03:37,880 Speaker 2: is a three plus trillion dollar company. And when it 71 00:03:37,920 --> 00:03:41,080 Speaker 2: comes to Microsoft from some of the parts, there's two 72 00:03:41,120 --> 00:03:44,760 Speaker 2: basic parts to it. There's their cloud business. That business 73 00:03:44,800 --> 00:03:48,560 Speaker 2: say they have twenty two percent market share. Microsoft in 74 00:03:48,600 --> 00:03:51,880 Speaker 2: total is of two hundred and twenty billion dollar revenue company. 75 00:03:52,080 --> 00:03:53,160 Speaker 3: It's going to grow about. 76 00:03:52,960 --> 00:03:56,680 Speaker 2: Fifteen percent this year. But as you think about and aggregate, 77 00:03:56,720 --> 00:04:00,360 Speaker 2: their cloud business is worth even though it's called fifteen 78 00:04:00,360 --> 00:04:03,480 Speaker 2: percent of total revenue, given the profitability, it's thirty plus 79 00:04:03,520 --> 00:04:07,320 Speaker 2: percent of the valuation. The biggest lever when it comes 80 00:04:07,360 --> 00:04:09,520 Speaker 2: to Microsoft over the next year in terms of the 81 00:04:09,600 --> 00:04:11,760 Speaker 2: sum of the parts, is related to what's going on 82 00:04:11,880 --> 00:04:18,359 Speaker 2: with the upside and uptake with Microsoft their Copilot and 83 00:04:18,600 --> 00:04:21,880 Speaker 2: Office that contribution. So they of course have raised the 84 00:04:21,920 --> 00:04:24,360 Speaker 2: price call going from fifteen to thirty dollars a month. 85 00:04:24,680 --> 00:04:27,640 Speaker 2: That started back in November. There's about three hundred and 86 00:04:27,640 --> 00:04:34,040 Speaker 2: fifty million Office Office users, so the office business today 87 00:04:34,200 --> 00:04:36,919 Speaker 2: is about a sixty five million dollar business. Of that 88 00:04:36,920 --> 00:04:40,640 Speaker 2: two hundred and twenty total in revenue, but you could 89 00:04:40,720 --> 00:04:43,440 Speaker 2: build a case if ten if a third of those 90 00:04:43,480 --> 00:04:46,080 Speaker 2: people pay up for colpile, which I think is conservative, 91 00:04:46,480 --> 00:04:49,479 Speaker 2: you know that that can increase revenue by ten percent. 92 00:04:49,520 --> 00:04:52,040 Speaker 2: And that's probably the biggest sum of the parts. Lever 93 00:04:52,160 --> 00:04:54,880 Speaker 2: when it comes to Microsoft is what the uptake is 94 00:04:54,920 --> 00:04:57,520 Speaker 2: going to be. They haven't broken out what those numbers 95 00:04:57,680 --> 00:05:01,080 Speaker 2: have been. As I mentioned, it's started to November. All 96 00:05:01,120 --> 00:05:04,679 Speaker 2: they've said is that they've had a positive reception from 97 00:05:04,800 --> 00:05:08,760 Speaker 2: their early corporate beta testers with this coal Pilot, and 98 00:05:08,839 --> 00:05:10,520 Speaker 2: I suspect this is going to be a hit product 99 00:05:10,520 --> 00:05:12,479 Speaker 2: that's going to help you compose emails, help you do 100 00:05:12,520 --> 00:05:17,400 Speaker 2: powerpoints exactly. Yeah, taxes potentially. 101 00:05:18,120 --> 00:05:20,599 Speaker 1: So you thought that was funny, Lisa, Yeah, you want 102 00:05:20,640 --> 00:05:22,520 Speaker 1: to jump in here. What would you use co pilot for, 103 00:05:22,640 --> 00:05:23,359 Speaker 1: Lisa Mateo. 104 00:05:23,839 --> 00:05:27,840 Speaker 2: Let's see, I know what my kids would use it for. 105 00:05:28,160 --> 00:05:31,119 Speaker 3: Help with the homework. Of course, we're talking to Gene Monster, 106 00:05:31,160 --> 00:05:34,960 Speaker 3: managing partner and co founder deep Water Asset Management. Hey, Gene, 107 00:05:34,960 --> 00:05:37,200 Speaker 3: I think you know that in twenty twenty three, not 108 00:05:37,279 --> 00:05:39,360 Speaker 3: just in tech, but for the whole stock market. AI 109 00:05:39,520 --> 00:05:42,400 Speaker 3: was such a driver of positive sentiment, and I think 110 00:05:42,400 --> 00:05:44,760 Speaker 3: what a lot of investors who are pulling away and 111 00:05:44,760 --> 00:05:46,320 Speaker 3: just saying, let me just take a look at this 112 00:05:46,360 --> 00:05:48,960 Speaker 3: AI story. And the question I hear most often is 113 00:05:49,200 --> 00:05:51,600 Speaker 3: how much of this spending across tech over the next 114 00:05:51,640 --> 00:05:56,880 Speaker 3: several years for AI will be actually incremental to what 115 00:05:57,040 --> 00:05:59,719 Speaker 3: was already kind of a base case for tech spending. 116 00:05:59,720 --> 00:06:01,560 Speaker 3: And JA, do you have an idea how that might look? 117 00:06:03,000 --> 00:06:06,360 Speaker 2: So, yes, the answer is that it's it's a substantial 118 00:06:06,400 --> 00:06:10,320 Speaker 2: amount the twenty to twenty to thirty percent range. Meta 119 00:06:10,520 --> 00:06:13,279 Speaker 2: last week had some commentary about what their spend is 120 00:06:13,320 --> 00:06:16,280 Speaker 2: going to be on GPUs and if you look at 121 00:06:16,279 --> 00:06:19,400 Speaker 2: what their baseline spend was before they announced that it's 122 00:06:19,400 --> 00:06:22,560 Speaker 2: a thirty percent increase and spend is these You know, 123 00:06:22,600 --> 00:06:25,440 Speaker 2: there was this talk about pause in AI last summer. 124 00:06:25,480 --> 00:06:27,800 Speaker 2: There was this letter that went around that a bunch 125 00:06:27,800 --> 00:06:31,520 Speaker 2: of people, including ironically Elon must signed and there has 126 00:06:31,600 --> 00:06:34,920 Speaker 2: been no pause. Is that this has been These companies 127 00:06:34,960 --> 00:06:38,560 Speaker 2: continue to aggressively go after this, and I think that 128 00:06:38,560 --> 00:06:41,599 Speaker 2: that is one of the I think one of the 129 00:06:41,640 --> 00:06:44,080 Speaker 2: clearest signs how much investment is going on from these 130 00:06:44,120 --> 00:06:48,360 Speaker 2: companies that this AI that the AI substance is ultimately 131 00:06:48,360 --> 00:06:52,039 Speaker 2: going to exceed the hype. It may take several years 132 00:06:52,040 --> 00:06:56,160 Speaker 2: to get there, but yes, there the infrastructure spend is remarkable, 133 00:06:56,839 --> 00:06:59,880 Speaker 2: especially with the Magnificent seven, And of course that infest 134 00:07:00,000 --> 00:07:03,919 Speaker 2: structures spend helps a lot of companies, many companies, potentially 135 00:07:03,920 --> 00:07:07,279 Speaker 2: most companies to enable AI in their products in the 136 00:07:07,320 --> 00:07:07,960 Speaker 2: years to come. 137 00:07:08,320 --> 00:07:09,960 Speaker 3: Hey, Gene, one of the things that I think some 138 00:07:10,040 --> 00:07:12,400 Speaker 3: investors are waiting for when you think about AI is 139 00:07:12,400 --> 00:07:15,960 Speaker 3: that defining IPO. Like maybe Google was a defining IPO 140 00:07:16,080 --> 00:07:19,560 Speaker 3: for the search business, Facebook was the defining IPO for 141 00:07:20,480 --> 00:07:23,440 Speaker 3: the social media business. And you mentioned some private companies. 142 00:07:23,480 --> 00:07:25,280 Speaker 3: Do you see something like that in the next year 143 00:07:25,360 --> 00:07:27,480 Speaker 3: or two of a company or a group of companies 144 00:07:27,480 --> 00:07:31,480 Speaker 3: that say, wow, AI has really arrived as a standalone 145 00:07:31,680 --> 00:07:33,360 Speaker 3: kind of investment opportunity. 146 00:07:34,760 --> 00:07:37,920 Speaker 2: Absolutely, I think that's going to be the next leading class. 147 00:07:37,960 --> 00:07:40,120 Speaker 2: I think it's probably two to three years away, but 148 00:07:40,240 --> 00:07:42,680 Speaker 2: I think that that you know, these companies that are 149 00:07:42,720 --> 00:07:45,200 Speaker 2: AI first companies. So we look at the Magnificent seven. 150 00:07:45,240 --> 00:07:48,360 Speaker 2: I talked about the upside related to copile at Microsoft 151 00:07:48,400 --> 00:07:51,160 Speaker 2: and saying that that could add ten percent to their revenue. Well, 152 00:07:51,200 --> 00:07:54,200 Speaker 2: these companies that are AI peer plays, they're growing at 153 00:07:54,200 --> 00:07:58,160 Speaker 2: three hundred percent off small bases, but approaching more than 154 00:07:58,200 --> 00:08:00,640 Speaker 2: a billion in revenue some of them. And I think 155 00:08:00,680 --> 00:08:03,520 Speaker 2: that these AI peer plays, there will be this moment 156 00:08:03,920 --> 00:08:06,240 Speaker 2: ultimately when you put it together at deep Water, we 157 00:08:06,280 --> 00:08:08,520 Speaker 2: think we are going to enter an AI bubble in 158 00:08:08,520 --> 00:08:10,200 Speaker 2: the next three to five years. We don't think we're 159 00:08:10,240 --> 00:08:12,840 Speaker 2: anything close to it right now. We put this in 160 00:08:13,960 --> 00:08:17,080 Speaker 2: and put we think we're in like nineteen ninety five 161 00:08:17,520 --> 00:08:19,440 Speaker 2: and we still have five more years to go before 162 00:08:19,480 --> 00:08:21,600 Speaker 2: this really escalates. But I think that's going to be 163 00:08:21,920 --> 00:08:25,800 Speaker 2: one of those moments where it really gets some excitement 164 00:08:25,840 --> 00:08:28,120 Speaker 2: in the market once we get some of these IPOs 165 00:08:28,120 --> 00:08:30,640 Speaker 2: and who are they? You know it could be open 166 00:08:30,680 --> 00:08:37,240 Speaker 2: AI data Bricks is one hugging face. There's our mid journey. 167 00:08:37,280 --> 00:08:40,199 Speaker 2: Those are the kind of the four most obvious ones 168 00:08:40,200 --> 00:08:41,040 Speaker 2: that would be published. 169 00:08:41,040 --> 00:08:43,560 Speaker 1: That's a secret world of Gene muster there, Gene. The 170 00:08:43,640 --> 00:08:48,240 Speaker 1: fact of the matter is, mister Nadella is firing on 171 00:08:48,360 --> 00:08:52,120 Speaker 1: all cylinders. You mentioned co Pilot and all the applications 172 00:08:52,120 --> 00:08:54,959 Speaker 1: that we're seeing of actual money coming in twenty dollars 173 00:08:55,040 --> 00:08:58,480 Speaker 1: a person ten dollars thirty dollars a person, and I'm 174 00:08:58,600 --> 00:09:01,160 Speaker 1: enjoying a thirty eight multiple. Well, and maybe my monster 175 00:09:01,240 --> 00:09:05,679 Speaker 1: guestimate forward squeezes down to a thirty five multiple. What 176 00:09:05,720 --> 00:09:08,080 Speaker 1: do you do with a tech stock when all the 177 00:09:08,120 --> 00:09:14,360 Speaker 1: good news is in, like in Microsoft right now, Well, if. 178 00:09:14,080 --> 00:09:16,320 Speaker 2: Your view is that all the good news is in, 179 00:09:16,440 --> 00:09:19,600 Speaker 2: you probably sell it. And I think in the case 180 00:09:19,679 --> 00:09:22,320 Speaker 2: of you know that, you know owning, that is a 181 00:09:22,320 --> 00:09:25,440 Speaker 2: great way to build wealth, is to own and have 182 00:09:25,559 --> 00:09:29,160 Speaker 2: people agree with you later. And if you there's generally 183 00:09:29,200 --> 00:09:31,520 Speaker 2: a consensus that the good times are going to continue 184 00:09:31,520 --> 00:09:33,880 Speaker 2: for these large companies, and so I think that if 185 00:09:33,880 --> 00:09:35,679 Speaker 2: you have a view that maybe this is as good 186 00:09:35,720 --> 00:09:37,599 Speaker 2: as it gets, that this is absolutely the time to 187 00:09:37,600 --> 00:09:40,800 Speaker 2: sell because you'll get multiple compression. I of course don't 188 00:09:40,800 --> 00:09:43,959 Speaker 2: believe that that's the case, and I just want to 189 00:09:44,000 --> 00:09:47,280 Speaker 2: put one put some a little bit of perspective on 190 00:09:47,320 --> 00:09:49,800 Speaker 2: that in terms of, you know, how on earth I 191 00:09:51,320 --> 00:09:53,920 Speaker 2: really strive to be level headed when it comes to 192 00:09:54,520 --> 00:09:57,240 Speaker 2: these tech trends and making sure that I'm not getting 193 00:09:57,240 --> 00:09:59,839 Speaker 2: carried away in yeah and some of the overall hype 194 00:09:59,840 --> 00:10:03,040 Speaker 2: on and when I think of AI, I'm in the 195 00:10:03,080 --> 00:10:06,120 Speaker 2: camp that electricity is one hundred, the mobile phones are 196 00:10:06,120 --> 00:10:09,200 Speaker 2: twenty five in terms of scale of importance, the Internet's 197 00:10:09,200 --> 00:10:11,520 Speaker 2: of fifteen. I think AI is probably a ninety. I 198 00:10:11,520 --> 00:10:17,720 Speaker 2: think this is ultimately wow, And if in fact that 199 00:10:17,840 --> 00:10:21,160 Speaker 2: ends up playing out, then we really haven't seen. I'll 200 00:10:21,200 --> 00:10:25,480 Speaker 2: give you another example is that we were buying Meta 201 00:10:25,520 --> 00:10:28,200 Speaker 2: over the last couple of years and it's done well recently, 202 00:10:28,240 --> 00:10:30,600 Speaker 2: and we debated about internally about should we use this 203 00:10:30,800 --> 00:10:33,000 Speaker 2: a stock that we should sell. It's had a good run, 204 00:10:33,120 --> 00:10:35,319 Speaker 2: Let's take our money and go other places. But then 205 00:10:35,559 --> 00:10:37,840 Speaker 2: we just thought more about the impact that day I 206 00:10:37,840 --> 00:10:39,640 Speaker 2: was going to have in their business, and it just 207 00:10:39,800 --> 00:10:41,920 Speaker 2: felt like this is one to continue to hold. And 208 00:10:41,960 --> 00:10:42,800 Speaker 2: so that's what we're doing. 209 00:10:43,000 --> 00:10:45,640 Speaker 1: Single most important inside of the week. You just heard 210 00:10:45,640 --> 00:10:48,440 Speaker 1: it from Gean at Munster with war wounds of selling 211 00:10:48,520 --> 00:10:52,400 Speaker 1: too soon, and he said he has a winner in Facebook. 212 00:10:52,600 --> 00:10:56,680 Speaker 1: Guess what he and his team said, extend that and that, Paul, 213 00:10:56,760 --> 00:10:58,920 Speaker 1: you and I know how much money have I left 214 00:10:58,960 --> 00:11:01,959 Speaker 1: on the table. I'm in triple levers doll cash, I'm 215 00:11:02,000 --> 00:11:04,200 Speaker 1: leveraged up with a fifteen percent gross and I go 216 00:11:04,440 --> 00:11:06,360 Speaker 1: now lighting up and I'm wrong every time. 217 00:11:06,559 --> 00:11:08,679 Speaker 3: Hey, Gene, one of the I'm just trying to think 218 00:11:08,679 --> 00:11:11,480 Speaker 3: of some headwinds here for the tech space. I mean, 219 00:11:11,480 --> 00:11:13,600 Speaker 3: do I have to worry about Washington, DC here in 220 00:11:13,679 --> 00:11:17,360 Speaker 3: terms of regulations more just broadly defined on tech and 221 00:11:17,400 --> 00:11:20,680 Speaker 3: maybe even specific for AI. How are you guys framing 222 00:11:20,720 --> 00:11:21,280 Speaker 3: that risk out? 223 00:11:23,240 --> 00:11:25,320 Speaker 2: Well, when it comes to AI, there's going to be 224 00:11:25,400 --> 00:11:28,880 Speaker 2: more regulation. Of course, we've got that letter that I mentioned. 225 00:11:29,000 --> 00:11:32,480 Speaker 2: Tim Cook has been he hasn't said anything in the 226 00:11:33,640 --> 00:11:36,600 Speaker 2: prepared commentary on their earnings calls in twenty twenty three 227 00:11:36,720 --> 00:11:40,760 Speaker 2: related to AI. He has made comments more recently outside 228 00:11:40,760 --> 00:11:43,240 Speaker 2: of the earnings calls and said that regulation is important. 229 00:11:43,240 --> 00:11:45,240 Speaker 2: He's mentioned that also in their Q and A. I 230 00:11:45,280 --> 00:11:49,040 Speaker 2: think when you have a company like Apple inviting regulation 231 00:11:49,200 --> 00:11:51,520 Speaker 2: in I think it's probably something that is going to 232 00:11:51,600 --> 00:11:54,240 Speaker 2: play out as far as the impact on the business 233 00:11:54,280 --> 00:11:58,040 Speaker 2: and how profound this growth can be. I don't think 234 00:11:58,080 --> 00:12:00,240 Speaker 2: it's going to have an impact on it. And I 235 00:12:00,240 --> 00:12:02,000 Speaker 2: think that a lot of the regulation is going to 236 00:12:02,040 --> 00:12:06,800 Speaker 2: come around things like water marking related to images to 237 00:12:06,800 --> 00:12:09,920 Speaker 2: try to help prevent deep fakes and the use of 238 00:12:10,040 --> 00:12:14,600 Speaker 2: AI for you know, whether it's for for malice behavior. 239 00:12:14,920 --> 00:12:17,920 Speaker 2: But I don't think that I think that this aggressive 240 00:12:17,960 --> 00:12:21,480 Speaker 2: investment cycle is ultimately going to continue. The broader topic 241 00:12:22,000 --> 00:12:26,120 Speaker 2: beyond AI and regulation in Washington is something that has 242 00:12:26,240 --> 00:12:28,880 Speaker 2: orbited obviously for years, and we have at the end 243 00:12:28,880 --> 00:12:34,040 Speaker 2: of this month, Meta and Snapchat and TikTok is are 244 00:12:34,120 --> 00:12:36,200 Speaker 2: they're all going to be and on Capitol Hill and 245 00:12:36,240 --> 00:12:39,640 Speaker 2: talk about some of the latest issues related to some 246 00:12:39,679 --> 00:12:42,560 Speaker 2: of the targeting that's going on on those platforms. The 247 00:12:42,640 --> 00:12:47,200 Speaker 2: simple answer is that regulation sounds bad, and really the 248 00:12:47,240 --> 00:12:51,200 Speaker 2: substance of it hasn't played out, and it's a little 249 00:12:51,200 --> 00:12:54,440 Speaker 2: bit hard for me to imagine why now is the 250 00:12:54,480 --> 00:12:56,400 Speaker 2: time when this would have start to have an impact. 251 00:12:56,600 --> 00:12:58,880 Speaker 1: Really generous time with us today. Gene Monster, thank you 252 00:12:58,960 --> 00:13:01,520 Speaker 1: so much. Deep Water Management there on your view of 253 00:13:01,640 --> 00:13:01,880 Speaker 1: tech