1 00:00:00,160 --> 00:00:04,480 Speaker 1: What are the top two tech sectors that we're most 2 00:00:04,720 --> 00:00:08,600 Speaker 1: excited about and think that the audience can get the 3 00:00:08,680 --> 00:00:12,200 Speaker 1: biggest games. Yeah, in the next few years to come. 4 00:00:12,400 --> 00:00:15,760 Speaker 2: Number one, I said on stage yesterday, But whoever dominates 5 00:00:15,840 --> 00:00:20,759 Speaker 2: quantum computing. So we already have chips, we already have GPUs. 6 00:00:21,160 --> 00:00:25,119 Speaker 2: The next big innovation will be quantum computing. So Google's 7 00:00:25,239 --> 00:00:27,240 Speaker 2: racing there. When I was like reading a bunch of 8 00:00:27,240 --> 00:00:30,120 Speaker 2: white papers, the next race because most people like missed 9 00:00:30,120 --> 00:00:32,880 Speaker 2: out or AI a bunch missed out on the chips. 10 00:00:32,960 --> 00:00:36,199 Speaker 2: The next big island that everyone wants to dominate is 11 00:00:36,280 --> 00:00:38,479 Speaker 2: quantum computing. So whoever gets the first, So it's going 12 00:00:38,520 --> 00:00:42,839 Speaker 2: to be a race between Microsoft, Metal, Google, Amazon. That's 13 00:00:42,840 --> 00:00:44,519 Speaker 2: why I always say the biggest players are going to 14 00:00:44,520 --> 00:00:47,519 Speaker 2: continue to get bigger. Now in video or Tesla can 15 00:00:47,560 --> 00:00:51,520 Speaker 2: go there and grab that land first, that will send 16 00:00:51,600 --> 00:00:54,560 Speaker 2: that stock up probably another five or six hundred percent. 17 00:00:54,680 --> 00:00:57,960 Speaker 2: And then in the science of space, even though the 18 00:00:58,040 --> 00:01:01,560 Speaker 2: genomics space has been tricky, I'm really interested in some 19 00:01:01,600 --> 00:01:05,440 Speaker 2: of the companies that can actually bring cures for the 20 00:01:05,880 --> 00:01:11,280 Speaker 2: diseases like genetic sequencing. And there are a couple publicly 21 00:01:11,280 --> 00:01:13,320 Speaker 2: traded companies that people have talked about before, but they 22 00:01:13,319 --> 00:01:15,880 Speaker 2: haven't delivered. That's the next space that I'll see Eli 23 00:01:15,959 --> 00:01:20,480 Speaker 2: Lilly Merku Maderna wants to try and make their comeback 24 00:01:20,680 --> 00:01:23,560 Speaker 2: if they can get that sequencing down to really allow 25 00:01:23,600 --> 00:01:25,760 Speaker 2: people to live longer and have a healthier life by 26 00:01:25,800 --> 00:01:28,680 Speaker 2: doing so. Those are the two spaces that everyone thinks 27 00:01:28,720 --> 00:01:30,880 Speaker 2: will give you like a ten x four fifteen X return. 28 00:01:31,160 --> 00:01:33,039 Speaker 3: Yeah, I think I'll just I'll just add I think 29 00:01:33,040 --> 00:01:35,400 Speaker 3: we're still in the moment of jener to day. Yeah, 30 00:01:35,680 --> 00:01:37,360 Speaker 3: just because it's so new and it's still in the 31 00:01:37,360 --> 00:01:39,600 Speaker 3: infancy stages. I think one of the things you just 32 00:01:39,600 --> 00:01:41,600 Speaker 3: point out, a point that you brought up is important 33 00:01:41,840 --> 00:01:43,920 Speaker 3: as open Ai just announced that they're going to do 34 00:01:43,959 --> 00:01:45,200 Speaker 3: their business enterprise. 35 00:01:44,920 --> 00:01:46,000 Speaker 2: And it's game set match. 36 00:01:46,040 --> 00:01:47,720 Speaker 3: You can see it now right like sired. Well, now 37 00:01:47,720 --> 00:01:50,120 Speaker 3: we're going into the business forefront. That's going to change 38 00:01:50,120 --> 00:01:52,200 Speaker 3: the landscape of how business does. But the also part 39 00:01:52,240 --> 00:01:55,280 Speaker 3: that is the medical field. Absolutely, how do we make 40 00:01:55,320 --> 00:01:56,120 Speaker 3: this more efficient? 41 00:01:56,320 --> 00:01:56,520 Speaker 2: Right? 42 00:01:56,560 --> 00:01:58,240 Speaker 3: Like I need to have data. I need to have 43 00:01:58,320 --> 00:02:00,760 Speaker 3: it now. Yeah, I don't have time to run to 44 00:02:00,760 --> 00:02:02,120 Speaker 3: the self, go to my like we need it. 45 00:02:02,360 --> 00:02:03,480 Speaker 2: We need way more efficiency. 46 00:02:03,520 --> 00:02:05,160 Speaker 3: It needs to be money more efficient, and so I 47 00:02:05,200 --> 00:02:09,240 Speaker 3: think as we see more companies being created, obviously some 48 00:02:09,280 --> 00:02:10,640 Speaker 3: of them are not going to make it make it, 49 00:02:10,680 --> 00:02:12,440 Speaker 3: but they're going to be a few. They're going to 50 00:02:12,520 --> 00:02:15,040 Speaker 3: be presented over the next few years or so. They're 51 00:02:15,080 --> 00:02:17,320 Speaker 3: gonna be the ones because, like I said. 52 00:02:18,600 --> 00:02:20,880 Speaker 4: Ernerds, what's up? You ever walk into a small business 53 00:02:20,960 --> 00:02:24,160 Speaker 4: and everything just works like the checkout is fast, their 54 00:02:24,280 --> 00:02:28,040 Speaker 4: seats are digital, tipping is a breeze, and you're out 55 00:02:28,040 --> 00:02:31,320 Speaker 4: the door before the line even builds odds are they're 56 00:02:31,440 --> 00:02:34,959 Speaker 4: using Square. We love supporting businesses that run on Square 57 00:02:35,000 --> 00:02:38,120 Speaker 4: because it just feels seamless. Whether it's a local coffee shop, 58 00:02:38,320 --> 00:02:40,839 Speaker 4: a vendor at a pop up market, or even one 59 00:02:40,840 --> 00:02:43,919 Speaker 4: of our merch partners, Square makes it easy for them 60 00:02:43,960 --> 00:02:47,960 Speaker 4: to take payments, manage inventory, and run their business with confidence, 61 00:02:48,280 --> 00:02:51,600 Speaker 4: all from one simple system. 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Sponsored by the United 98 00:05:07,720 --> 00:05:09,120 Speaker 5: States Department of Homeland Security. 99 00:05:09,480 --> 00:05:13,080 Speaker 3: Chat GBT is cool, Yeah, but it's it's the first 100 00:05:13,560 --> 00:05:16,160 Speaker 3: venture into the space. Yeah, first we know what happens. Right, 101 00:05:16,200 --> 00:05:17,560 Speaker 3: do people get to watch it, they say, all right, 102 00:05:17,600 --> 00:05:20,560 Speaker 3: let's improve on what they did, let's add it's let's 103 00:05:20,560 --> 00:05:22,279 Speaker 3: do it for this set or specifically. 104 00:05:23,360 --> 00:05:23,440 Speaker 1: So. 105 00:05:23,520 --> 00:05:26,200 Speaker 3: I think the generated I piece is something that you know, 106 00:05:27,200 --> 00:05:29,480 Speaker 3: if we're talking about somebody that's new into invest in 107 00:05:30,240 --> 00:05:33,920 Speaker 3: and they can see the immediate impact and effects, I 108 00:05:33,920 --> 00:05:36,680 Speaker 3: think that's a space that we still got to. I 109 00:05:36,760 --> 00:05:38,640 Speaker 3: know it's new and it's fresh, but we have to 110 00:05:38,680 --> 00:05:40,520 Speaker 3: stay educated on it and stay up to date with 111 00:05:40,560 --> 00:05:42,640 Speaker 3: what's happening because it's going to be the game changer 112 00:05:42,720 --> 00:05:43,520 Speaker 3: for our generation. 113 00:05:43,839 --> 00:05:45,919 Speaker 2: I agree and over Grassent on stage, we have like 114 00:05:45,920 --> 00:05:48,520 Speaker 2: ten more months with this AI bubble before pops, and 115 00:05:48,560 --> 00:05:50,320 Speaker 2: then you're going to see a new crop of companies 116 00:05:50,600 --> 00:05:52,880 Speaker 2: with this right Like this is like the AOL version 117 00:05:52,920 --> 00:05:55,880 Speaker 2: of the Internet of AIS. The greatest companies in the 118 00:05:55,920 --> 00:05:59,240 Speaker 2: AAI space haven't even been created yet. Y'all know a 119 00:05:59,240 --> 00:06:01,920 Speaker 2: guy who's a dominant player. I can't wait you come 120 00:06:01,960 --> 00:06:04,120 Speaker 2: on the show. But there's a bunch of companies that 121 00:06:04,160 --> 00:06:05,880 Speaker 2: are making some stuff in AI that is truly going 122 00:06:05,920 --> 00:06:08,280 Speaker 2: to change the world. Great move by Open Ai to 123 00:06:08,360 --> 00:06:10,000 Speaker 2: finally go to the enterprise since they got all the 124 00:06:10,040 --> 00:06:13,520 Speaker 2: personal data on the consumer side. But we really are 125 00:06:13,560 --> 00:06:16,320 Speaker 2: looking at companies to make everything more efficient, like it's needed, 126 00:06:16,400 --> 00:06:20,040 Speaker 2: like you're either going to have to save costs, increase revenue, 127 00:06:20,120 --> 00:06:22,760 Speaker 2: or increase productivity. But the company that does all of them, 128 00:06:23,080 --> 00:06:25,000 Speaker 2: I would be looking out to see what if Salesforce 129 00:06:25,040 --> 00:06:29,120 Speaker 2: makes a play there and also Adobe, what they're going 130 00:06:29,160 --> 00:06:31,719 Speaker 2: to do there, but in about fourteen to sixteen months, 131 00:06:31,760 --> 00:06:33,440 Speaker 2: we should see some big players come out of the 132 00:06:33,480 --> 00:06:36,599 Speaker 2: woodworks that helps drive the economy a lot more. So 133 00:06:36,640 --> 00:06:37,800 Speaker 2: that that's what I'll be focused on. 134 00:06:37,839 --> 00:06:39,039 Speaker 3: We don't talk about Adobe, no. 135 00:06:39,960 --> 00:06:43,440 Speaker 2: They're quiet killer. They are just a quiet kill everyone 136 00:06:43,440 --> 00:06:46,680 Speaker 2: who's a creative in that space. What they've been doing 137 00:06:46,720 --> 00:06:48,520 Speaker 2: in the cloud and some of the pieces that they've 138 00:06:48,520 --> 00:06:51,160 Speaker 2: added to Photoshop and like the podcast and software has 139 00:06:51,160 --> 00:06:54,240 Speaker 2: been great, But that's just the first step. Like the 140 00:06:54,400 --> 00:06:57,240 Speaker 2: race is now, what can I do to help businesses 141 00:06:57,279 --> 00:07:00,279 Speaker 2: be more efficient and don't have to think like on 142 00:07:00,320 --> 00:07:03,280 Speaker 2: market Monday is we took away forty hours of research 143 00:07:03,320 --> 00:07:05,320 Speaker 2: a month and just told you buy here. These are 144 00:07:05,360 --> 00:07:07,800 Speaker 2: the ones to buy now. I imagine if Adobe could 145 00:07:07,839 --> 00:07:09,800 Speaker 2: do that for all your creation and you can create 146 00:07:09,880 --> 00:07:13,160 Speaker 2: multiple shows, multiple podcasts and salesforce. If they can do 147 00:07:13,200 --> 00:07:17,960 Speaker 2: the same, or Infusion Software or HubSpot excuse me, you 148 00:07:18,000 --> 00:07:20,000 Speaker 2: can do it, they are going to be some ones 149 00:07:20,040 --> 00:07:22,080 Speaker 2: that are going to like dominate the space for years 150 00:07:22,080 --> 00:07:22,440 Speaker 2: to come. 151 00:07:24,360 --> 00:07:26,240 Speaker 3: Yeah, yeah, yeah,