# The Next AI Trade: Power, Chips, and Infrastructure | Trading the Markets with AI

## Метаданные

- **Канал:** Real Vision
- **YouTube:** https://www.youtube.com/watch?v=yxnXh_txHzs
- **Дата:** 14.05.2026
- **Длительность:** 34:22
- **Просмотры:** 597
- **Источник:** https://ekstraktznaniy.ru/video/50703

## Описание

Real Vision contributor Kris Bullock and Bijan Maleki are back with their weekly look at the biggest news stories about AI and how traders can utilize it. Through enhanced research, coding apps, dashboards, and creating one's own technical indicators, Kris gets into it all with a rotating cast of RV community members. Tune in live every Wednesday at 1PM ET.

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Timestamps:
00:00 - Monarch 
01:29 - GPUs, CPUs, Networking, and the Next AI Infrastructure Phase
04:20 - Nvidia Earnings and What It Means for AI Markets
05:11 - Retail Investors Are Piling Into AI Stocks
06:00 - Why “Altseason” Is Happening in AI Stocks
09:05 - Why This AI Boom Is Different From Crypto and Dot-Com
12:28 - Real AI Use Cases vs Crypto Speculation
15:19 - The AI Investment Map: Power, Chips, Data Centers, and Memory
17:0

## Транскрипт

### Monarch []

heating up here in NYC, which means summer is almost upon us. It also means it's nearly time for my summer vacation. And this year, I don't have to stress about my finances because I know they are better organized and I can enjoy myself without worry. Monarch is the personal finance app that tracks everything, accounts, investments, saving goals, and spending. Get your first year of Monarch Core for just half off. Just $50 with promo code real vision. Indeed, without Monarch, I don't think my upcoming vacation would be stress-free because now I know and I can see my finances all in one place. Not only that, with their unique features, I know my portfolio is outpacing the S& P 500. But my favorite thing about the Monarch app is their AI insights, which help me understand, am I spending more or is it just inflation? Use code realvision atmonarch. com to get your first year of Monarch Core half off at just $50. That's 50% off your first year at monarch. com with code realision. Happy Wednesday everyone. Happy hump day. Welcome back to another edition of Trading the Markets with AI. Of course, we're joined by Chris Bulock, aka Blasto Plus, and we've got a show for you guys all today. AI is having another moment

### GPUs, CPUs, Networking, and the Next AI Infrastructure Phase [1:29]

and we're going to get into all of that today. So, Nvidia is no longer just a GPU company. We're going to talk about that. Retail is back and they are swinging, buying up Mag 7, Mag 10 even, uh, AI stocks. So, we'll be diving into what retail is doing. And Chris is going to walk us through the different AI sectors uh that are in this industry. We're going to break that down, see what sector does what and what interests you. And of course, we're going to do some TA today on some of the top stocks in the AI industry. We got that all for you today. Chris, happy Wednesday. How are you — doing? Well, doing well, thank you. Happy to be here. — Yeah. So, uh so let's uh let's get it started. right off the bat with uh with Nvidia making uh I guess a little bit of a pivot, but they're already in AI, so it's not just a company pivoting to AI for the vibes. But no, Nvidia has uh has a real strategy here. Uh what are you seeing with this, Chris? — This is actually really big to me. Th this is not just kind of a pivot, but this is more dominating the competition. They're sort of working to push the likes of AMD and uh not AMD, um, Intel, Intel out of the mix basically by creating not just a GPU, not just their graphics processing unit, but also a CPU and not only that, but they're taking over the whole networking stack. So, this is all going to be integrated. They're doing specialized network switching, specialized network interface cards for all the servers, um, you know, all kind basically from the rack to the server to the processor to the GPU to the CPU to all of it. So they want to take over the whole entire stack and have it be seamless and fully integrated so everything is complimentary to everything else so that there's no bottlenecks within this. Uh really quite smart I think on their end and really the whole idea behind this is to you know in the initial stage of AI it was all about sort of brute force training and feeding these massive data sets into LLMs and just you know powering all of the learning. Now we've moved on to the next phase which is really inference. And we're seeing with the kind of the advent the takeover of the agentic AI, we need a specialized infrastructure to power this agentic AI. And that's really what this is going at the heart of. This is designed to just run the whole next phase of the AI revolution basically. And uh I'm excited about it. I think it's going to be really cool. It's um you know, like I said, they're building out everything. So um yeah. You know what's interesting though because like obviously Nvidia has a lot of uh I guess partners, right? And people that they do business with. Like what does that mean for them if they're like basically you know what we're going to

### Nvidia Earnings and What It Means for AI Markets [4:20]

do the whole thing ourselves? Like how does that impact their partners, right? Does Nvidia kind of grow up as they're going down? Like that's another interesting uh way to see how that impact impacts some of the other picks and shovels plays within AI because obviously Nvidia is like the whale of this industry. So when they're saying like, "Hey, we're not going to be like, you know, picks and shovels and chips anymore. " We're like, "We're just going to do the whole thing ourselves. " Like I just wonder what type of industry impact that's going to have down the line. Obviously, good for Nvidia and good for those that are holding Nvidia stock, but uh like what does it mean for like I mean I think Google will be fine, right? And you know the the Anthropics and Open AI will be fine, but like what does that mean for like you know some of the other picks and shovel plays that we often talk about, right? — Yeah. No, I mean it'll definitely have an impact. Uh it'll be interesting to see because some people are going to just partner with Nvidia to power

### Retail Investors Are Piling Into AI Stocks [5:11]

their hardware backend for their AI processing. Meanwhile, other companies already have uh partnerships in place with again the likes of Intel with the likes of AMD and some of the connectivity manufacturers and things like that. Um so it will be interesting to see certainly uh it's and also on top of that uh and I'm sorry Nvidia's earnings call is next week next Wednesday to you know a day a week from today and I think that that's going to be a really strong indication of where all of this is headed. I think if they come out with a really positive call, which I think everybody's expecting, um, that's going to be, you know, foot on the gas for all of this and, you know, this train is still running, which I mean, again, I think it will, but um, that's really what a lot of people are sitting here waiting for right now. — Yeah, if you're building, listen, if you're one of the companies that are

### Why “Altseason” Is Happening in AI Stocks [6:00]

building, uh, you know, AI factories and data centers at scale, maybe you might want to give Nvidia a call and uh, see you can do something with them. But uh all right, so speaking of like Nvidia, right? Obviously it's going to interest retail. The fact that Nvidia's uh trying to own the whole stack. Uh and speaking of retail, they're probably buying Nvidia up in droves. They're buying like AMD, Intel, Palanteer, and everything like that. What are you seeing from like the retail side? Because for those of you that have been in crypto for a while, you remember last cycle was driven by retail. So, it's very interesting that now we're seeing like this AI cycle and retail is just rallying behind it and buying up as much as they can, which is like I'm seeing it's hard not to see the similarities there, right? — Oh, completely. And I feel like we've been talking about this a lot. Everybody's asking, you know, when is alt season? When, you know, where's my alt season going to be? When is my bags going to get pumped? And really, I we keep saying alt season is a is AI stocks, you know, and it has been for eight months or more at this point. Um, and this article is a great is going to be a great segue I feel like into the whole rest of this show. But yeah, what we're seeing is again just like the headline says, super rally is retail investors uh acting the most aggressive since trading frenzy during COVID. We are absolutely seeing that and a lot of retail investors I think it's important to point out they're just piling into a lot of the big the mag seven stocks the big AI names the hyperscalers that we talk about the Googles the Microsofts the you know the Nvidia like we just said those kinds of things and then they're only branching out a little bit they're looking at things like you know the mag 10 they're calling it with the likes of AMD Palunteer Broadcom are some of the big ones but what we're going to talk about in the the rest of the show is just how broad this spectrum is and how nuanced it is. And there's really upwards of I mean 70 companies off the top of my head, you know, not that I keep a running list for of companies that are active in this sort of AI buildout. Uh, and we're going to talk about how it's all broken down into various sectors. And I think it's important to communicate and share this with retail investors that if you want to get exposure to this and you think, "Oh, I missed the boat. you know, Nvidia's already up, you know, a bajillion percent and, you know, it's too late now. What am I going to do? You're not too late at all for one, and two, there's again dozens and dozens of other companies that are very active and play huge key roles in this AI buildout that we're going to talk about and go through um that you can look at and research. And I'm not going to suggest any specific ones, but just know that there's a ton of stuff out there to research. And um yeah, we're going to get to it. And this article is just scratches the surface of just the handful, but we can see that the demand is there, the frenzy is there, and there's people actively looking that want exposure to this. And um we're going to get into it. — Yeah. You know, the pessimist in me though, you know, I'm normally an optimist, but the pessimist in me wonders if retail piling in at this type

### Why This AI Boom Is Different From Crypto and Dot-Com [9:05]

of frenzy. Does that like I guess I'm just comparing it to the crypto market where it kind of like that was almost like the top was in, right? It's kind of like, hey, when your friend who's not in crypto starts asking you about XRP, it's time to start selling him XRP, right? Is that the case with like these Nvidias? But like on the other end of that though, when retail started piling in, right, they're piling into the big names, right? bitcoins, the ETHs and the XRPs and in this case like the Nvidias, the Googles, the Metas and Palunteers. — Yeah. — But we know that just what essentially that did was made way for an epic alt season. And like you like you've alluded to many times, the alt season's happening right now in AI. So then does that mean is that like can we extrapolate from that kind of the same idea where like the retail is piling into Nvidia and these big Mag 7s but that is going to kind of flow into kind of the smaller picks and shovels semiconductors infrastructure plays that power the Mag 7s. Am I crazy in thinking that? — No, I think you're spot on. And I think there's a pretty key distinction to make between uh what's going on right now with AI and AI stocks compared to these alt frenzies that you've talked about where you know once your parents start asking how do I buy XRP then you know the top is in kind of thing and that was absolutely true. Um and most of the time the top was in those scenarios because it just took that long to sort of make its way out into the the larger I guess zeitgeist you know. But the difference being is one we know the underlying macro structure is completely different right now than it was during those same scenarios. Like back then it was very everything was very overly frothy and it's like yes we are setting all-time highs in the NASDAQ and S& P and things like that but the key thing to sort of point out here is that all of this is it's capex which is different. It's built. It's real money that these big companies have. All of these Mac7s have huge just treasure troves of tens of billions of dollars, hundreds of billions of dollars in some cases that they're giving that they're spending on all these other smaller companies to build out all of these products that are required to power this AI revolution. And we know that this AI revolution is really only, you could argue, in the second or third inning in terms of what it's ultimately going to be. We know we're we still need to get all these data centers built. We don't have enough power to power all the data centers. We don't have enough data centers to provide all the compute power to meet the demand of the the token demand right now for people using the AI. Not to mention the more advanced models that these AI companies already have sitting on the in the waiting room ready to deploy, but they just don't have the compute power to run them. And then on top of that, we haven't even gotten to like the agentic side of things. and then the physical the edge compute side of things that are all coming down the road, you know, months if not years from now. And so there's like a five-year runway for all of this stuff to come to fruition. And we're just getting started with all of this. And there's money already in existence to fund all of this. And you could argue with like previous alt seasons, there wasn't really money to fund any. there's VC money and there was speculation and there was nothing to

### Real AI Use Cases vs Crypto Speculation [12:28]

show for it in terms of realworld actual products that people could benefit from to improve their lives you know and so that's I think the key distinction and so that's why I see this as a very different prospect than those previous alt season and so is there going to be speculation and speculative buying within the AI stock sector of course and that will have some impact prices will get overinflated to a degree from that. But we I think we'll see for quite some time going forward that the earnings is going to back it up. The revenues are up and the companies that are producing these products that people are investing in are going to continue to be profitable and um it's just going to kind of be this uh you know loop basically that's going to continue to go. So I'm not worried about it right now. At some point yes. Will it get over its skis? Probably. uh at some point there will be a big a pop of some sort, a correction, but I you know a year from now, two years from now maybe, I don't know. It's certainly not anytime soon. So yeah. — Yeah. I mean, when Claude's dropping a new model every 5 minutes, like this thing is not stopping because people are just like, "Oh, this is the next new thing. " And they're just diving into that. And I Chris, I think you made two excellent points that I think is worth emphasizing here. this like companies are actually spending real money on this development and research, right? They're not it's not like it's actual money that they've saved up and that they're putting into all of this which is a very important uh thing and use cases, right? Whereas in crypto even to this day like it's you're hardressed to find use cases beyond even stable coins and yield generation at this point, right? and the normal person to them they can't see why crypto makes more sense than using like PayPal or something like that they're already using whereas AI like it act like people are using it in their jobs they're using it for content creation creating dashboards and financial reports and market and like just so many active live use cases that are available right now as we speak that crypto just does not have. So I think for the normal person um they can also see that value behind it and see where it's going and they're using it themselves whereas in crypto like it was only like us using it between each other to swap and buy things like NFTts and like crypto assets and stuff like that. So that's a very two very different uh things which uh I think lead to your point very well Chris. — Yeah there's massive demand right now. there's beyond anything for actual real world products. And I know real quick kind of as an aside, a lot of people compared this to like the dot bubble that was happening. And I think another key distinction I want to make with that is a lot of the money that was spent during that time was from like the telecom providers and the infrastructure providers to build out these internet networks to build out all

### The AI Investment Map: Power, Chips, Data Centers, and Memory [15:19]

the fiber to lay out the sort of framework for all of this to run. But there was no actual demand for the usage of that infrastructure in that moment, you know, back in 1999 or whenever that was, you know, like and so it collapsed because it was like they were building ahead of time. But now there's not only is there demand, but there's actual money, there's capital available to power all of this immediately and and beyond what's even available right now. It's like they can't build out the infrastructure fast enough as opposed to before — there wasn't enough demand to fill the infrastructure that was being created. — Your your. com uh example is like crypto and not instead of AI, right? Exactly. Exactly. — With crypto, they're building like chains and they're building for a demand that is not there yet. They're like trying to solve a problem that and they're basically they've solved the problem and now they're trying to create it to get people to use crypto essentially, right? And it's just really funny the crypto in the do era. Hopefully we haven't popped there yet. Exactly. Anyway, Chris, speaking of, you know, like investments and like, you know, we just talked about a few different sectors like when people think of AI, like they just think, okay, artificial intelligence, uh maybe they maybe their mind goes to the LLM that they're using like the clouds or the anthropics and then, you know, Google and Meta and Nvidia because they hear them in the news all the time. But they think and I and I've had this conversation with a friend of mine like he basically thinks Nvidia even though Nvidia's now doing or working to do all of it. He was under the impression that Nvidia had already been doing everything which is not the case. Right? There's so many different sectors within this industry that are just ripe for

### AI Power Demand: Utilities, Batteries, and Energy Infrastructure [17:05]

investments and all have like all are valuable in and of their own way ways. Right Chris? Yeah, — why don't we start uh breaking down what what's in them? — Yeah. So, um again using AI just like we were just talking about. I made this handy uh infographic here this morning uh with chat GPT that breaks down and this isn't keep in mind this isn't an exhaustive list but this is like a good snapshot sampling of just what I mean by all of the different companies and sectors and things. And so again, a lot of us, like we talked about, think about when investing in AI, they think about the big ones like Google, Meta, Microsoft, Amazon, Nvidia, Tesla even. Um, and they think they've missed the boat because these companies are already worth, you know, their market caps are hundreds of billions of dollars. But really, you have to think about the whole perspective, all of the stuff. AI, what AI means generally is just compute and what and energy and turning energy into inference, basically. And so there's a lot of things that go into that, you know, um talking about just breaking it down to different sectors. We have essentially power generation. We'll start with this. We'll start at the end. So there's power generation. You need power to power the data centers because a lot of data centers, you know, there's a lot of protests going on with people building data centers nowadays. And they want to make sure that they're not going to tax the electrical grid and rack up everybody's uh electricity prices and things like that. So data centers are being required to generate their own

### Cooling, Networking, and Data Center Infrastructure [18:33]

power or at least supplement their own power uh or in you know with power outages and things like that. So there's companies that make uh gas turbines and power generators and things like that generate power companies you wouldn't even think of like Caterpillar or Cumins, you know, you think of the they make engines for tractors and they make construction equipment. They also make power generators and they're very much a part of the AI buildout whether you realize it or not. Um, and then getting on to like alt power, battery power, switching gear, like you need to build out this power infrastructure. You need high-tech gear that can manage all of this power and flow and things like that. And batteries to capture all this power and store and things like that. So, you've got battery power, you've got petroleum companies that also are part of it, liquid natural gas companies that power these gas turbines, you know, and things like that. So all of this power utility companies that you know are part of the power that create the power grid and manage that's just on the power side. And then if we move into once we get to the data center itself, we've got to cool all the stuff in the data center. We've got to cool all these server racks because they generate a ton of heat. We've got to cool the data center itself. So we need advanced uh you know cooling and mechanical uh basically. So you've got HVAC companies that sort of manage all of that. And uh then you've got actual server rack cooling technology itself to cool all of the components that are inside the servers like the memory and the processors and the network connectivity equipment and things like

### Memory, Storage, and Semiconductor Winners [20:04]

that and also the high-speed fiber optic connectivity to transfer all of this data from machine to machine and things like that and all of the switching gear like so think of companies like Cisco um you know who make these high-end routers and switches that manage all of this network traffic. All of this stuff is like hugely important for just controlling the data within the server itself. And all of these companies are massively benefiting from this AI buildout because they're in they're going to be in demand for year. They have literally years long backlogs to provide equipment to power all of these servers and all of these racks that are going to go inside these data centers. And then if you take it a step further, what about all the actual semiconductors themselves that go into

### Chemical Companies: The Hidden AI Trade [20:48]

building all these GPUs and CPUs and network uh switches and uh network connectivity devices and things like that. So there's tons of semiconductor companies. You have big ones like AMD and Intel and Qualcomm. I'm sure you probably heard of. Um another huge industry that has blown up is memory, like high bandwidth memory, like RAM you think for your computer. So things like that. So, Micron, um, uh, SKH Highix, and then other companies that make, uh, like not only memory, but storage devices like, um, they don't use hard drives anymore, but it's all like solid state, but companies like Western Digital and Seagate and, uh, SanDisk and these companies that make data storage devices. So, all of that goes into all of the server racks that go into all the data centers that go, you know, that consume all the energy. And then on top of that, not only this, but in order to make all these semiconductors, you need chemicals. And so there's a whole bunch of chemical companies now that are actually directly benefiting from the buildout of all these semiconductors that are servers data centers. So you can see it's this big long circular loop where everything, you know, connects to everything else. And so there's a bunch of chemical companies again that make chemicals that are either used in the fabrication process of designing these uh semiconductors or in the packaging or anything like that. So um and then you know finally ultimately demand drives more capex. So the big mega caps spend more money because they get more money coming in from the demand that drives more. It just it's a big infinite loop basically and it all powers everything. So when you think I want to invest in AI, you probably wouldn't think I need to buy stock in Cummins, you know, or whatever or Integress Chemical Company, you know, like what does that have to do with AI? But really, all of these have a lot to do with AI. Yeah. I mean, everything. And so, — you know, take a snapshot of this. And again, this isn't an exhaustive list. There's again probably dozens more companies, but look at this and just plug this, you know, take a snapshot of it. plug it into your own favorite LLM and say, "Hey, look at all these companies. All of these companies are actively involved and benefiting from this AI buildout. " Um, and start to narrow it down yourself. Start to do research. Start to ask questions. How can I what's the best way to get exposure? Which of these companies

### How to Research AI Stocks and Find Early Opportunities [23:15]

have sort of the most direct exposure to AI versus other companies that maybe it's like, yeah, they're involved in some AI, but they also do a bunch of other stuff. Think like Caterpillar for example. Yes, they are building gas turbines for data centers, but yes, they're also building bulldozers for construction projects. So, that's not necessarily going to be as pure of an AI play necessarily as compared to somebody like um I don't know, let's just say uh Intel or AMD, you know, where they're building or Nvidia for for that matter. They're building stuff that's directly related to AI almost primarily or Micron is another example. Oops. They actually Micron reported earlier this year that they essentially turned off their whole consumerfacing product line and they're only building products for AI rack servers basically that you can't even go buy like RAM for your laptop anymore on Micron whereas you used to be able to for a decade that you can't it's just not they just don't have the bandwidth mechanically to build products for consumers because they're so wrapped up in just the AI buildout alone. So that's a very pure AI play if you think about it like that. So yeah, go again, use your favorite LLM, whatever it is. Use multiples for that matter. Use, you know, chat GPT, use Claude, use Gemini, ask all of them this and help it help you kind of whittle down what looks good, what still has room to run, what's over overbought, what's, you know, just getting started in all of this. Some of these companies are way less uh far along in this process than others. like, you know, Micron, for example, it, you know, even just in the last seven months, it's gone from about $160 to well over $700 a share. So, yeah, you're a little late to the game on Micron, but maybe, and I'm just picking this off the top of my head, maybe uh M MKS Instruments, for example, maybe they're not there yet. Maybe they're still just getting ramped up in their process, and that's something you can catch before it goes on this 10x run, you know? And so use this to go through that thought process and help you help yourselves to find good investment opportunities based on companies that you know again are just getting ready to roll. And so that's what I would do with this. And this is a much more broad perspective look at just what's out there in terms of getting exposure to AI above and beyond the Mag 7 or the Mag 10 even as it was referenced in that article. this is really the kind of depth that you should be looking at and uh digging into. — Yeah. And you know another thing too is like as this is still like still such a very young industry and as it matures there's going to be new sectors as well. Like right now we're seeing the rise of AI security and cyber security. So there's going to be companies that grow around that because like — if you think the Amazon and the Nvidas aren't worried about being compromised from AI hackers, they're going to be like, you know, implementing AI defense systems to combat that. That's going to be a huge part of it. I mean, healthcare, right? I mean, I literally I believe that in our lifetime, the average human lifespan is going to grow to like 150 years. And that's all because of AI. Like obviously I'm exaggerating but like you know our we're literally going to be extending the average human life because of developments that AI is going to be you know discovering in the next 10 years or so. So that's like another thing too to kind of keep in mind as all of this progresses. Now Chris another question I have for you right two questions actually. one. All right, so somebody's looking at this. They're like, "Oh my god, I think you know memory in AI is super important because I use Claude and it has terrible memory. " So I understand the value behind uh you know having memory, right? How does someone like what is the way someone can identify what a good like pick within a sector is? Like what are some things they should look out for to let them think like oh okay this company might be an interesting investment? like what are some of those like signals they maybe should be looking for? — Sure. Yeah. No, that's a good question. Um, there's a few ways you can look at this. One, like I said, you kind of want to make sure that it's not something that has already been running for several months at this point. And a number of these have to be fair. Like especially the memory, the storage, some of that stuff, some of the semiconductors, they've been going for a while now. And so they're they're well on their way. Um, but just look, you can look at things like their earnings forecasts, their re, you know, their revenue and earnings forecasts, their um their PE, although some of their PES are pretty overextended. Um, just sort of what they do, like learn about what these companies are, what they do, and sort of what role they're playing in this process and where this role is within the larger the larger AI buildout cycle, you know. Um, and then also you can confirm things like do they have a confirmed order backlog. You know, a lot of that stuff is public information with these public companies. That's the great thing about public companies versus like altcoins for example. You can confirm that they actually have a yearslong backlog of confirmed orders ready to be built, you know, bought and paid for already, things like that. Um, and then just again, you have to do some digging. It's not easy. It's not just going to be oh you know what do I do AI chat GPT and it's going to spit you okay

### Sector Rotation: Software, Hardware, and AI Infrastructure [28:42]

buy this and buy that you know it's not that easy but that's the whole point is you do this is how you start and you learn about everything this is a great way to learn about the overall AI infrastructure and the whole AI revolution and how it's all interconnected and what's important and what's not and what companies are building out what components and why and um so yeah you kind of you're going to have to dig in learn. Uh it's not going to be a two second thing, but um try to find the stuff that just hasn't I mean obviously hasn't ran yet or either still has room to go even though maybe you miss the first 10x. You might get another few multiples on top of that anyway, which in the equities world is still amazing. You know, when you think about your average whatever 10% 8 to 10% return on the S& P, if I can get a 2x or a 3x even on some of these stocks, that's a million times better. So, so yeah. Um the short answer is you're going to have to research, but um that's kind of some of the pro thought process that I would go through. — Yeah. And also like watch this stuff rotates too, right? It's not like, hey, just because one thing is running and the other thing cooled down doesn't mean they're not going to come back to it, right? You know, so like these executives and these investors are kind of rotating, right? Software was the big thing in 2025 and like we're moving into hardware or like infrastructure metals and stuff, but like now you're also kind of starting to see a trend where they're rotating back into software because it's cooled down and it's ripe for opportunity. So, like these are like things that you can all

### Edge AI, Robotics, and the Next Wave of Compute [30:16]

be looking at and like Chris said, have a conversation with your AI of choice. You know, take this uh this infographic that Chris built up, throw it into your AI and ask it to, you know, give some feedback on it. Ask it if it can come up with any other sectors. Like ask it what sector in within like this chain is like, you know, most interesting or is going to kind of blow up in the next year or two. And then you start finding companies within that and then start asking AI about those companies. Have it do research on those companies as well. — Yeah. And another thing too is we haven't even really talked about sort of the next phase of AI being the edge compute and the you know the localized inference and things like that. And there are some companies within this list that um that are part of that, you know, and so think about maybe that say which companies in this list are going to be part of sort of the next evolution of AI into the localized the robotics and the you know the mobile devices and the home appliances and you know whatever else is going to have localized AI inference

### Kris Bullock’s Favorite Emerging AI Sector [31:16]

that uh is going to be coming along in the next evolution of this because a lot of those devices are going to need specialized hardware, specialized uh processors and specialized memory and specialized data storage and things like that. Uh also specialized plastics uh glass, you know, all of these companies um that are going to be part of like robotics buildouts and things like that. So um that's another thing to look for. That's something that isn't as ramped up yet as some of these earlier memory plays. And so that's a way to look at it too. Which of these companies are going to be part of the further evolutions of AI as we go forward? you know, second and third order impacts over the next three to five years and things like that. That's another way you can help get ahead of it. So, so yeah, look at it that way. — Yeah, absolutely. Chris, so before we end here, I know you're like you're researching AI pretty much every single day. You're even doing it on weekends. Um, what is before we let you go here, what is like one sector within AI that you feel like you need to start like dive into maybe a little bit more? Well, I can tell you the sector that I most recently spent uh well most of last weekend in fact digging into was chemicals. Um that's something that's a little bit new to my radar and that's something that I dug into. Well, last week I opened a handful of positions uh in a few chemical companies. I'm not going to say which ones, but yeah, that was that's the most recent one that's really kind of come to light for me that I've been spending the most time on lately. — There you have it, guys. That's maybe a little alpha for you. are maybe look into some chemical stuff cuz it is new, right? Like that's what you like cuz the the infrastructure and the semiconductors those were so hot and they run so much like that's how you make money in this stuff. You look for like the new thing and like the new hot sectors and hey chemicals seems very interesting cuz you literally need that in everything. Um, so — the funny thing is it's not necessarily new in the sense that these companies have been using these chemicals all along to build their products. But in terms of like from an investment standpoint, I think the investing world is just coming around to, oh, hey, this is something that hasn't blown up yet and it's absolutely just as much a part of this process as anything. And so, yeah, — well said. All right, everyone. That has been trading the markets with AI. uh let us know what sector you're most interested in or what you think is ripe for investments in this AI space. Obviously, there's so many, right? Energy, infrastructure, memory, semiconductors, chemical, like there's so much. So, if you're looking at something, let us know. We want to hear about it. And of course, if you're working with AI and you want to share what you're doing, let us know. Come on the show and you can share what uh what you're doing with AI. Until next week, everyone. We'll see you uh we'll see you on Wednesday.