In short
Real Vision Podcast: Episode Summary
Episode Title
The AI Pendulum Swings the Market Hard
Episode Description
In this episode of Real Vision's REKT Vision, Bijan Maleki interviews Ejaaz, the founder and CIO at 26CC, as they discuss emerging narratives and trends in the AI market, including recent significant decisions like Block's workforce reduction in favor of AI tools.
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Key Themes and Discussions
Market Trends and AI
- AI as Emerging Technology:
- Ejaaz compares the current hype around AI to the early days of cryptocurrency, suggesting that AI is attracting massive funding and attention.
- Despite a downturn in crypto markets, AI technology is experiencing significant investment, leading to speculation about its potential future growth.
- Market Sentiment:
- The current market sentiment appears to be cautious, with a significant crash noted around October 10th, leading investors to look for more sustainable opportunities.
- There are signs of optimism with emerging technologies and developments in AI, particularly in payment systems and data processing (e.g., X402).
AI's Future and Potential Limits
- AI Market Topping:
- Ejaaz posits that there may not be a single top in the AI market; rather, various sectors within AI may experience peaks at different times.
- Constraining factors such as power generation and the energy grid could limit the scalability of AI technologies, affecting investments and growth.
- Major Upcoming IPOs:
- Anticipation for three major IPOs: SpaceX, Anthropic, and OpenAI, indicating continued investment and growth in the AI sector.
Discussion on AI Agents
- Current State of AI Agents:
- Ejaaz highlights that the effectiveness of AI agents varies based on their application. For routine tasks, they might still be developing, but for skilled jobs, they are beginning to disrupt traditional roles.
- Recent developments in AI agents, particularly OpenAI's and Anthropic's offerings, are reshaping perceptions and capabilities in the workplace.
- Investment Opportunities in AI Agents:
- There is potential for significant financial returns in sectors related to AI agents, including orchestration, tool usage, and data management.
Human Impact of AI
- Job Displacement:
- Ejaaz identifies a significant concern regarding job security, especially for white-collar workers.
- The fear of displacement due to AI’s efficiency and productivity gains is a growing sentiment among many professionals.
- Long-Term Outlook:
- Despite fears, a more optimistic view suggests that AI could create new job opportunities and enhance productivity in various sectors.
- Ejaaz encourages individuals to adapt by engaging with AI technologies to improve their skills and marketability.
Investment Strategies
- Practical Steps for Individuals:
- Ejaaz advises individuals to subscribe to AI tools and actively use them to enhance productivity and skills.
- Staying informed about emerging companies and technologies in AI can provide a competitive edge.
- Investment Sectors Beyond Major Players:
- Ejaaz discusses other potential investment opportunities beyond popular firms, emphasizing sectors like energy infrastructure and companies that support AI development.
Geopolitical Considerations
- US vs. China in AI Race:
- The conversation touches on the competitive dynamics between the US and China in the AI sector, highlighting different approaches to development and technology application.
- China's advancements in open-source AI and manufacturing capacity present unique challenges and considerations for US firms.
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Key Takeaways
- AI is currently reshaping investment landscapes, with emerging technologies presenting both opportunities and risks.
- Adapting to AI tools is essential for professionals to remain relevant in a rapidly changing job market.
- Investment in infrastructure supporting AI (like energy generation) may yield significant returns as demand for AI technology grows.
- Geopolitical dynamics between the US and China will play a crucial role in determining the future landscape of AI development.
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Conclusion This episode provides critical insights into the directions of AI technology, its implications for the financial markets, and the future of work. Listeners are encouraged to engage with AI tools and stay informed on market trends to navigate this transformative landscape effectively.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOMarket Trends in Crypto and AI
0:45 to 2:15
Discussion on the shifting market dynamics between crypto and AI technologies.
“All this week, we focus on how to use AI, how to invest in it, and how to prepare for ongoing disruption.”
Evaluating AI's Current Market Position
2:15 to 4:45
Exploring whether AI is peaking and the implications for market participants.
“But it's sort of like 10 to 50 times the size and so much money is being poured into it.”
NVIDIA vs Google in AI Infrastructure
4:45 to 7:00
Comparison of NVIDIA and Google in the AI infrastructure space and their market roles.
“They know that they need to have an electrical grid that supports it.”
AI Agents: Current Capabilities and Future Potential
7:00 to 9:45
Analysis of AI agents' effectiveness and their evolving capabilities in various fields.
“They have a million different models that can code for you, create videos for you, create images for you.”
Investment Opportunities in AI Agents
9:45 to 12:00
Examining where the real financial opportunities lie within AI agents and their ecosystems.
“They have amazing tool use, amazing browser use.”
The Role of AI in Business Partnerships
14:01 to 15:06
Learn how AI companies are leveraging partnerships for growth.
“these partnerships with big consulting firms.”
Impact of AI on Employment
15:06 to 15:21
Discuss the human impact of AI and recent job cuts in tech.
“this, because especially with agents, I can really see it happening.”
Diverse Perspectives on AI's Future
15:35 to 19:18
Explore varying viewpoints on AI's impact on jobs and economy.
“But yeah, I just wanted to kind of get your take on that as well.”
Optimism in AI Job Displacement
19:18 to 20:30
Understand the potential for new jobs and economic growth amid AI displacement.
“So listen, I'm not saying it's going to be a smooth journey, but I just kind of like have heard, seen, and read about a bunch of these trends happening before.”
Embracing AI for Personal Growth
20:30 to 23:02
Learn practical steps to leverage AI tools for professional development.
“I think we're going to end up, people are going to end up with more money and more better healthcare.”
Show all 19 chapters
The Current State of AI Adoption
23:02 to 24:56
Discuss the low adoption rates of AI and the opportunities that arise from it.
“You've got ChatGPT that's plugging into every single vendor and soon it'll be able to geolocate via Google's Gemini.”
Investment Opportunities in AI
24:56 to 28:00
Identify sectors within AI that present promising investment opportunities.
“And I think because like, listen, I understand it's very easy to feel like you get left behind when it comes to AI, because there's a new model releasing every other day.”
Analyzing AI and Energy Partnerships
28:00 to 29:30
Learn how to evaluate companies in the AI energy sector based on partnerships and scale.
“So again, like look at companies like Bloom Energy and a few other things and you will start to see the names that kind of pop up, Wolf Energy, all that kind of stuff.”
The Shift from Software to Hardware in AI
29:30 to 31:40
Understand the transition from software-centric AI to hardware requirements and implications for users.
“They're all sold out because it caused everyone to believe that you need to run your AI agent and your AI locally at home.”
US-China AI Race and Geopolitical Implications
31:40 to 34:00
Explore the competition between the US and China in AI development and its potential consequences.
“You need to keep it protected, make sure there's guards outside, because that becomes the new kind of like gold or physical important asset.”
Different Approaches to AI Development
34:00 to 35:50
Analyze the contrasting strategies of the US and China in AI innovation and market impact.
“I do think these models are going to be used as a geopolitical weapon in the future.”
Human Impact of AI: Jobs and Automation
35:50 to 38:20
Discuss the potential job displacement and challenges posed by automation in various sectors.
“They open source all their lumber models that failed.”
Investing and Productivity in the Age of AI
38:20 to 42:00
Discover how to leverage AI for personal productivity and investment opportunities.
“You know, you've got companies cutting 40 % of their staff and it's not just a couple hundred people, it's 4 ,000 people.”
The AI Market Dynamics Explained
42:00 to 43:00
Explore how the AI market differs from past bubbles and its current state.
“Like you've got 10-year-old, five-year-old GPUs, sorry, that are selling for above the price that they sold when they officially were launched I mean, they were new.”
Transcript
Automatic transcript. May contain errors.0:00Hey, everyone.
0:01Bijan Maleki:As you know, on this podcast, I bring the best guests in the world at that nexus of understanding of macro crypto in the exponential age of technology. If you're enjoying the show, a quick five star rating goes a long way. It helps us grow and keep these conversations coming with the best guests in the world. Thanks a lot.
0:25Ejaaz:welcome back to wrecked vision your screen's not broken this isn't ai i am not mando i'm filling in for mando and today i'm joined by fan favorite ejaz you all know him but in case you don't he's the founder and cio at 26 cc and a perfect person to wrap up our trading the future content campaign. All this week, we focus on how to use AI, how to invest in it, and how to prepare for ongoing disruption. So if you have any questions, please post them in the live chat. We have a shorter show today, but we'll try to get to as many as we can. Ejaz, how are you? Thank you for joining us today.
1:08Bijan Maleki:Thanks for having me. It's a pleasure. I always have so much fun on these shows. So yeah, I mean, so much has happened since I was last on this show, which I feel like is a recurring theme every single time. So yeah, I'm excited to get into it.
1:22Ejaaz:Yeah. And you know, like, let's start with that the last time you were on because as is tradition, every Friday, when RectVision goes live, the markets are down. And today is no different. Mando, it's not just you or you, OSF. So Ejaz, last time you were on, Bitcoin had just dropped below 90K, right? And now it's under 70K. So I just kind of wanted to get your thoughts on that before we kind of dive into some of the more AI heavy topics.
1:52Bijan Maleki:Yeah, I have two perspectives on this. Number one, there's a larger market structure breakdown where all the money is going to a little known technology known as AI. It's really become kind of like the hyped up technology that crypto once was in its early days. I wouldn't say heyday because there's a lot more to come for crypto, but in its early days when it was a new budgeting technology, that's where AI is right now. But it's sort of like 10 to 50 times the size and so much money is being poured into it. So that's one thing. The other thing is it's an attention game pretty much in crypto. And right now the intention just isn't there because of a mixture of AI and because of a mixture of just market sentiment over the most recent full run, in my opinion.
2:40Bijan Maleki:There's a few reasons why this went down. I think October, I believe it was October 10th. I can't remember the date specifically where we just had a massive crash and no bodies have really floated to the top. There's been rumors over a specific Chinese firm and then the New Jane Street stuff that came out recently. But the idea is people, I think, are tired of market manipulation. They're just waiting for something more sustainable to happen. But there are some stuff on the horizon. We've got strike news for AI agents, payments, X402 is blowing up. So yeah, there's optimism on the horizon.
3:12Ejaaz:That's a great way to start, right? Because there's been some doom and gloom coming with AI talk, especially this week. And we'll kind of get into some of that as well. But I still want to stick with the last time you were on as well. And you just mentioned that the attention or part of the attention, at least, or a lot of it has shifted into AI kind of away from crypto. And last time you were on, Mando asked you if we were topping in AI. And I believe we've gone higher since then. So I want to ask you again now directly, are we topping now in AI?
3:47Bijan Maleki:I honestly struggle to answer this question because I don't think there's one, if there is going to be a top. I don't think it's going to be one single top. I think it's going to be tops for different things. But here's my core framing right now. My simple answer to you is no, because the companies that want to make the cycle top or are most likely to make the cycle top, all these people that are spending trillions of dollars on GPUs, the CapEx bubble that everyone is being super scared about, can't actually pop the bubble because they're constrained in the amount of money that they can spend, which sounds like an insane thing to say, because they're talking about trillions of dollars already being committed and spent.
4:28Bijan Maleki:But here's the number one issue that they're running into. They can't scale because our energy grid and power generation just can't keep up. So think of all these GPUs that are being generated and purchased. These companies aren't idiots. They aren't just going to buy millions of GPUs that they know that they can't power on. They know that they need to have an electrical grid that supports it. So they're now looking at the electrical grid and the power generation stuff, and they're like, God, so I can't actually scale as much as we want. But it's not just power generation. It's also memory and a bunch of other things, which we can get into later.
5:02Bijan Maleki:But the point is, no, I don't think we're topping at all. I think we're going to see three of the biggest IPOs this year, SpaceX, Anthropic, and OpenAI. OpenAI just announced they raised$110 billion today at a$730 billion valuation. Anthropic is saying FU to the Pentagon, throwing away hundreds of millions of dollars of contracts. That revenue is exponential right now. No signs just yet. Demand isn't wavering.
5:27Ejaaz:Right. And then NVIDIA just had their earnings. Earnings. Yeah, this week as well. Right. And they seem to, and last time you were on to, you guys were talking about, you know, kind of Google being kind of, you know, a good one to kind of lead the charge in this. But NVIDIA kind of still seems like the top dog is in terms of like just in this AI space, even though Google has so many other products, right? Because all the attention was on that earnings call. Do you kind of see that? Do you still see Google, you know, kind of positioned to maybe take over? Or like, how do you see that playing out?
6:02Bijan Maleki:I can't remember what I said specifically, but Google and NVIDIA are very similar, but also extremely different. And let me explain what I mean by that. When you compare Google and NVIDIA, you're comparing GPU infrastructure. So NVIDIA is the big daddy there. They have been around for decades. They know this game inside out. And honestly, if they don't lead for the foreseeable future, I'm going to be pretty shocked at that. Google's infrastructure is slightly different. It's more specialized. It's an ASIC, right? So if you have a specialized AI thing, like an AI function that you want to build and scale, you'll kind of start using ASICs, which is the more specialized version of a GPU.
6:42Bijan Maleki:But majority of people are using generalized compute. They just need hands on deck to push all your prompts out, to answer all your prompts, to fuel all your AI agents. You need generalized infrastructure, and NVIDIA is the king there. But Google also doesn't just play in infrastructure, right? They play on the app layer, the distribution layer. They have a million different models that can code for you, create videos for you, create images for you. New Nano Banana 2 got released yesterday or stuff like that. So these are two different companies playing in different ballparks. So I'm optimistic on both, to be honest.
7:16Ejaaz:So I want to kind of transition. We'll definitely come back to that because right now, like all the hype and all the narrative, or at least it seems definitely recently, there's been OpenClaw, right? And AI as a whole. I've been building with OpenClaw. Seems like everyone has been building with OpenClaw agents recently. So big question to you. Are agents actually here for real? Or are we still kind of in a demo area where everything kind of looks cool, but still is breaking in production? How are you looking at the whole agents conversation?
7:53Bijan Maleki:The answer is super, super simple. It depends what you're using the AI agent for. If you are someone that likes to sip coffee every other hour and you do some kind of like information skill work where it requires writing strategies and documents, maybe designing a few things, the agents are kind of mediocre right now. But six months from now, those agents are going to be really damn good at potentially automating maybe 50 to 70 % of those tasks that I just described. Now, if you're a software engineer, it's crunch time, baby. I think last night, Jack Dorsey announced that he's cut 40 % of his company, The Block.
8:33Bijan Maleki:That's 4 ,000 people that are now out of a job. His reasoning? AI tools were just good enough to automate a bunch of work. And it wasn't just coding jobs that were lost. It was other kind of back-end process flow management types of things, right? We've seen the launch of a bunch of different products and agents from the likes of Anthropic and OpenAI over the last three weeks. I'm not exaggerating. It has been that recent that I've automated a bunch of back-end and office-type jobs. So right now, you might not feel the shift. If you're kind of like basing your opinion, and I'm talking to people who are kind of like not enthusiastic about agents, if you're basing your opinion on playing around with ChatGPT or Anthropics Claude, I don't know, two months ago or even a month ago, your information and judgment is outdated.
9:19Bijan Maleki:You need to be playing with these tools every single day because these guys are releasing multiple plugins and updates every single week. Now, the main criticism that was given to agents, and it's rightfully so, is that they're very fractured. They need help, hand-holding. It's really annoying. You need to look over them. The reason why OpenClaw popped up so much was because it removed all of those things. It's a really well-built product. That's why OpenAI acquired them. They have persistent memory. They have amazing tool use, amazing browser use. Now you see the likes of Anthropic just this week, releasing a bunch of new features, which copies OpenClaw.
9:57Bijan Maleki:You see a bunch of different OpenClaw variants being produced by the Chinese, by other American firms. So we're reaching a point where these agents are actually forming into something that actually might be useful to a lot of people. And we're on the cusp of that becoming a reality.
10:12Ejaaz:Yeah. And it's like that article that was recently released on Twitter that went viral. I can't remember who wrote it, so I apologize.
10:18Bijan Maleki:Which one? There's two. There's Matt Schumer that was kind of like... It was Matt Schumer. Yeah. Matt Schumer.
10:25Ejaaz:And that's exactly what he was saying too, that people are basing things off of the first iterations of AI where it was kind of getting things wrong. And if you think it's worked somewhat well now in six months, it's going to work incredibly well. And that's just kind of the progression we've been at. So I just love that you kind of hammered that point home.
10:44Bijan Maleki:So I guess... Oh, by the way, the craziest part about that essay, just fun little bonus point for everyone listening. If you haven't read that essay, by the way, you need to read it and you need to send it to your families to read it. But when I read it, I was like, wow, this really resonates a lot with not just me, but like humans who don't even interact with AI, who are kind of maybe against AI. Like I sent it to my mom and my sister and they were like, wow, I actually need to start using these things. Craziest part is he went on an interview on TPPN and said that he'd used AI to write it. And he gave it a bunch of like letters written in a specific tone and it just copied and mimicked it.
11:19Bijan Maleki:So I was just torn by that. I'm like, wow, he's even using the product to do creative writing, which is something completely different from coding. So it's just, yeah, it's very impressive.
11:28Ejaaz:No, it really is because I've been, like I said, I've been playing around with open claw and I've been telling it to every time I speak to it to kind of, you know, bank it in its memory and understand my tone. And then just last night, I asked it to just write me a simple paragraph about you know the nick the last nicks game in my tone and it was just nailed it i know yeah it was crazy how almost spot on it was um so kind of from that let's stick with the agents from kind of i guess an investing lens where do you think the real money in agents is is it the model layer is it in the orchestration and tools is it the distribution of them is it proprietary data and workflows?
12:08Ejaaz:Can people start spinning up agents and basically rent out their services? Where do you see that?
12:18Bijan Maleki:Yeah, it's those few things you mentioned. I think it's orchestration and tool use. I think it's distribution. And I think it's the data mode as well. If those three properties sound very familiar, it's because that's what apps did for Web 2.0, You had the infrastructure be built out. Internet was amazing. IBM, absolutely killing it. HP, Hewlett-Packard, absolutely killing it. And then suddenly it was like, oh, wait, we can do cloud to spin up servers. We have websites. We can make a mobile app. And suddenly all the value accrued to those apps because they had users distribution. They had all the data, which made something so valuable.
12:56Bijan Maleki:And then they had orchestration. Like, there's a reason why, you know, you've got a clawed code, you have all these different coding models, but Cursor, which is an orchestrator of all these different coding models, is still worth billions and billions of dollars. Why? Because they orchestrate all these things in such an amazing way. I just said prior to this that one of the biggest challenges that AI faces is UX. It's kind of hard. It's kind of fractured. It's a little bit clunky. Agents can pretty much be the abstraction layer for all of these things. The amazing part about agents is that they're kind of interchangeable between any specific sector.
13:33Bijan Maleki:Oh, I need something from my enterprise work. Yeah, here you go. Agents can be used for that. Oh, I need something for coding. Oh, yeah. Go ahead. Go do that. I need something for hospitality management. got you. There's an agent to do it. Why? Because the substrate that it's feeding on is the model layer. So now you just asked me, is it models that accrue the most or how does this work? It's kind of tricky because the models need or will end up eventually needing a lot of this proprietary data to end up becoming better. That's why you see OpenAI signing all these partnerships with big consulting firms.
14:04Bijan Maleki:They're not doing it to replace consulting work. They're doing it to get access to the Fortune 500 clients that these consulting firms have. It's all a data grappler. So in my opinion, I think a lot of these frontier model labs are going to end up building an amazing model, but also trying to own that app layer as well. Who are the best companies that are involved there? Well, Google's sitting high and dry. They're responsible for creating and owning some of the biggest app ecosystems ever and mobile ecosystems. They own Android as well, right? So they're sitting pretty. OpenAI is making a very heavy push into applications.
14:38Bijan Maleki:You've got Antropic doing the same with plugins and a bunch of other things. So it's just a, it's a, it's a massive moat and agents are going to be the vector. Like not everyone's going to be prompting models. That's silly. You're going to be talking to agents. They're going to deal with all that crap for you.
14:50Ejaaz:Yep. That's someone I was, when, as I was learning how to install OpenClaw, someone said to think of it as the middleman. So I think that's a great way to, to kind of talk about. So I want to, and you, you, you touched on this and now was, you know, with this agent talk, I kind of want to transition to the human impact of all of this, because especially with agents, I can really see it happening. You know, you mentioned Jack Dorsey and that, you know, just huge announcement yesterday dropping almost, what, 50 % of his, of staff at Block.
15:20Bijan Maleki:So a quick break in your regular programming. If you're serious about your future, grab my free report called Prepare for 2030. I think you've got five years to make as much money as possible. And this guide will help you navigate what's coming.
15:34Ejaaz:The link is in the description download it now and then you know we referenced the matt schumer article i think maybe the other article the huge article was the citrini one right where you know 2028 economic collapse ai8 or um you know kind of ai is going to replace the workforce and you know people that were making like 200k and now if they're making like 50k what's going to happen to their mortgages so i kind of just wanted to to get your opinion on that citrini uh research article i believe it on Substack. But yeah, I just wanted to kind of get your take on that as well. Yeah.
16:08Bijan Maleki:So listen, it's important to realize that we are in a dreamers market right now, because the, what's the phrase? The stones haven't settled or whatever. The rubble hasn't settled, but we don't know where any of this is going to end up. Everything is literally up in the air right now. We don't know who the best model provider is going to be because they keep leapfrogging each other every single week. We don't know who the best AI app owner is going to be because there are no breakthrough apps just yet aside from chatbots. So there's a lot of moving pieces. So whoever can dream up the most vivid and descriptive imagination usually can get a lot of attention because people's imaginations are going into extremes.
16:46Bijan Maleki:And you have the positive take, which is kind of like Matt Schumer's article, which is like, hey, if you start using AI now, you can be a superhuman. Then you've got the Citrini essay, which is kind of, you know, It's funny, they started the essay with, we're not doom posting, and then proceeded to doom post. But it's a very specific and fair take. And I like that it was very nuanced in its thinking. But it's based on a bunch of different assumptions. I saw two rebuttals, which were actually very well thought out. One was from Gavin Baker, post-NVIDIA earnings, basically saying, listen, Citrini can doom post about a bunch of these things.
17:22Bijan Maleki:But what they haven't figured out is compute is limited because of power generation and energy. So a lot of the doom and gloom that was in the Citrinia essay was based on infinite power generation. And so that costs are basically going to go down. All the jobs can be replaced. That's not feasible. That's not going to scale. At some point, the cost of compute is going to outprice human labor. So you just go back to using humans. It just makes more sense. So it's kind of like a weird thing. And then another company or rather firm, which I found hilarious, that made the exact same point was Citadel Securities, who are famous for making all their money from shorting stocks.
18:04Bijan Maleki:And it's so funny that they came out with a bull post against Satrini being like, I don't think this is where it's going to go. So listen, it's easy to wire your brain around doom and gloom, but I don't think that's the right way. I think it's important to be optimistic right now.
18:17Ejaaz:Yeah. And I think I think you're spot on with that. But, you know, and it's kind of hard to be, especially with I guess for some people. Right. Especially with that.
18:26Bijan Maleki:Why is it hard to be? Let me let me ask you this. Well, why do you think it's hard to be like what's bad about it?
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18:31Ejaaz:Well, I think people are worried about job security, to be honest with you. I think they don't see, they fear themselves being replaced by AI and not being able to get back to what they built themselves up to. I think that's what the fear is, right? And that they might not be able to find another position that can get to their, you know, the lifestyle they become accustomed to.
18:54Bijan Maleki:And I completely understand that. And I actually agree with them. No one's job is safe, including my own. But I guess I choose to take a more optimistic view of that. People had very similar sentiment around the dot-com era and the internet boom. And listen, it did actually happen. There was a bunch of displacement around jobs. But almost immediately after, you had a flurry of new jobs, workers rescaled themselves, and they actually ended up being in a better position where they would make even more money than they originally would from their previous jobs. So listen, I'm not saying it's going to be a smooth journey, but I just kind of like have heard, seen, and read about a bunch of these trends happening before.
19:39Bijan Maleki:People often always take the more Duma take or path or imagination. I don't think it's going to end up like that. I think there's going to be a way forwards. Now, of course, there hasn't been a technology like AI before where in those previous trends, it's happened in silos, right? It's like, oh, yeah, software can replace only certain things, but not everything, not manual stuff, right? But AI is like way more pervasive. Any sector you can get access to, like that user software or a computer, we got you. Now, manual labor is safe for a bit longer until robots scale, right? But that's going to happen soon over the next like five years to a decade.
20:13Bijan Maleki:So it's not happening immediately, but I do positively believe there'll be other jobs and other skills available, which will end up, I think people will end up richer than they think they will, is basically my take.
20:25Ejaaz:I love that take. Like I'm signing out.
20:28Bijan Maleki:I genuinely believe it. I genuinely believe it. I think we're going to end up, people are going to end up with more money and more better healthcare. Like think about this personalized medicine. Like if you have an AI that can like weed all your vitals, you know, we've got, everyone's wearing an Apple watch these days. If you can weed your vitals, predict certain things, find trends that doctors can't do because you go to the doctor after you feel ill, right? No one's being proactive about their health or the majority of people aren't. Like imagine that it feeds into your health costs. Imagine you're exercising and it's like, lower health cost.
20:57Bijan Maleki:There's so many good things that can happen here. We scientific research to find cures for a bunch of different things. That's all going to happen. People aren't pricing that in. And it's going to be amazing. It's going to be way more affordable. So chill out to all the doomers is all I'm going to say. Yeah.
21:11Ejaaz:Yeah. I guess it just comes down to that age old thing where people just, they're scared of change, right? I guess that's essentially what it might come down to. But so I want to ask you before we kind of move on. So if you're kind of that 25 to 40-year-old professional watching this and you are someone that's worried about AI replacing you and you don't know what to do, what do you think is that practical move for them so that they don't get caught flat-footed with this?
21:39Bijan Maleki:Pay$20 a month. It is the best ROI. Ditch your Netflix subscription, by the way. I know you all have it. We all have a bunch of subscriptions. You can afford$20 a month. The ROI that you will get from just talking to your chatbot or your LLM, whether it's ChatGPT, Claude, which is my personal favorite right now, Grok, whatever, take your pick and just do me a favor. Try and apply it to your regular tasks that you go to on your day-to-day. And what I mean by that is you need to keep an open mind. Like I've caught myself many times in instances where I'm like, ah, no, I subconsciously dismiss using AI because I'm like, no, I could never do that.
22:19Bijan Maleki:And then someone tells me, hey, by the way, I've just use AI to do this? And I'm like, oh, I need to remind myself that I need to just keep trying and asking it because every single update, there is a gargantuan leak. We're not talking about little increments where it's like, we're not talking about your Apple iOS updating. And it's like, oh yeah, great. We've got like a new Siri voice. Like, whoa, I don't care. A few bug fixes. We're talking about gargantuan leaps where this AI can do many different things. So my simple request is get a subscription and start using it. Take the default approach where it's like, I'm going to try using AI for everything.
22:55Bijan Maleki:And there are going to be some ridiculous cases. You can't use AI to order a coffee yet, but soon there will, right? You've got ChatGPT that's plugging into every single vendor and soon it'll be able to geolocate via Google's Gemini. And it'll be like, hey, dude, there's a coffee there. I'm connected to your DoorDash account. You want to just pick you one up? Or it'll start recognizing when you wake up and when you drink coffee, and they'll say, hey, don't worry. You did actually great work yesterday and you earned about 50 bucks extra than I thought, than we estimated. So there's a coffee waiting for you outside your door.
23:24Bijan Maleki:Obviously that sounds insane, but I'm just telling you, you need to start using these tools. And without knowing, you're going to get to a point where you're like, oh, I actually understand how these things work. That instantly makes you more valuable than your colleague who hasn't touched these tools. And let me tell you, more people than you expect have not touched these tools. You can get so far ahead right now today if you just start using these things.
23:47Ejaaz:That's such a great point. I don't know the percentage, but I feel like it's 99 % of people aren't even using AI.
23:55Bijan Maleki:There was that amazing infographic. Sorry to Bajan. Do you see this? I wish we could find it. Someone did the math. And basically, the majority of the world hasn't even touched AI. We are very much in a bubble. If you're listening to this, you're already way ahead. So stay ahead. Yeah, you're right.
24:14Ejaaz:Yeah, no, that's a great point. And then I think and I want to even take that a step further, because I think even within those people that are using AI, a lot of them are just using it for like just very silly tasks. They're not really they're just saying like Google talk to AI to be a friend or whatever, but they're not like actually using it to to make themselves more productive or efficient or just kind of improve. But I'm not saying you have to do that all the time, but I'm just saying within that there is an advantage for people that actually take it seriously and use it to improve their daily lives and tasks.
24:43Bijan Maleki:Absolutely. Yeah.
24:44Ejaaz:There it is. 84 % of humans have never used AI. That's either a crisis or an opportunity.
24:50Bijan Maleki:That's absolutely. Yeah. It's insane. It's insane. Like, I think the opportunity has never been larger for people. And I think because like, listen, I understand it's very easy to feel like you get left behind when it comes to AI, because there's a new model releasing every other day. Like, listen, this is like, kind of like my full-time job now. And I still miss so many different things. So I can empathize with that. But the ability to catch up on all the good things that have happened and learn those skills has never been easier. Like put it this way, you're almost at an advantage not knowing what's gone on.
25:23Bijan Maleki:And then now leaning into it fully now, you can get way ahead than people who have kind of been in this space and have kind of like burnt out a bit using all these different tools. And they're like, oh, I need to take some time out. You can just come in with a fresh mind and be like, wow, okay, I can do this now. Bunch of college kids, bunch of university kids in the US have been using AIs to code and do a bunch of different things. They're going to come out way ahead of the software engineers that have been born and brought up on manual coding and are refusing to shift. You know what I mean? So it's a mental thing.
25:52Ejaaz:No, absolutely. So I want to shift a little bit because I asked you a question about where's the investment idea within agents. And I want to bring that into AI as a whole, because obviously the Mag 7, Mag 7 is obvious, right? But what are some other sectors within AI that make for interesting investments? Is it data centers, infrastructure, energy compute, robotics? What's your take on what's interesting beyond the Mag7?
26:17Bijan Maleki:Yeah. The issue with the way things are set up is it's such a private market that the majority of the hot companies are private right now. But you mentioned a sector there that I'm extremely bullish on right now, which is energy and power generation infrastructure, which for your yawn, right? Like it sounds so boring. But the point around it is none of this stuff works if you don't have energy or power. And prior to this kind of event shift with AI, all our power grids and stuff are built for humans. Basically, if you can find a sector that is very ripe to be taken over by AI or robotics in the next decade, but is very much still designed and optimized for humans, That is typically a good investment opportunity right there.
27:06Bijan Maleki:I can use a clear example, actually. Leopold Aschenbrenner, who is this 23-year-old kid who was one of OpenAI's lead researchers, and he left and he started a fund, basically, and he wrote this whole thesis. It was like a 68-page long essay called Situational Awareness, and it was one of the most in-depth predictions of where AI is going to be over the next five years. And by the way, so far, he's absolutely nailed it. He released this essay, I think, two years ago, or a year and a half ago, and he's absolutely killing it. But he raised this fund of$1 billion, and he has just been absolutely murdering the scene.
27:43Bijan Maleki:All his investments have been killing it. And he took a position in Q4, the filings came out yesterday, of$854 million in this company called Bloom Energy. What's their product? they sell like these unique infrastructure to generate power and it can be kind of localized and specified for AI data centers. So again, like look at companies like Bloom Energy and a few other things and you will start to see the names that kind of pop up, Wolf Energy, all that kind of stuff. Yeah.
28:16Ejaaz:And how do you like, so how do you, when you're like, I guess, considering these and you're looking into that, what's like, what's like a viable way to analyze these? Is it like, Is it their order backlog? Is it who they have collaborations and partnerships with? It's the distribution model? It's all of those things.
28:31Bijan Maleki:It's all of those things. Yeah, it's like you have to look at who they're partnering with. If it's some no-name energy company that's partnering with some random AI startup, probably don't focus all your attention there. But if they're partnering with the likes of hyperscalers and neoclouds like CoreWeave or like Broadcom and stuff like that, These are all the big name companies that are co-producing GPUs and running these data centers. So if they're using it, great. If they're partnering with Amazon for AWS, also great, right? All these companies need power. And so you need to find the ones that are making the right partnerships.
29:06Bijan Maleki:Number two, it's maybe a boring answer, but you need to make sure that they're tested at scale. A lot like operating an energy scaling, an energy distribution company for like a thousand to 10 ,000 clients versus a couple hundred clients is a very different game. So it's important to make sure that they have that track record as well. But, you know, there are a million other frameworks you can apply to it. I'm no expert, but that's just my take.
29:31Ejaaz:yeah yeah and you know with this with this ai talk right a lot and and i've been hearing it a lot too uh it's like now we're kind of we we were we were in software phase with ai now we're shifting into to hardware phase can you kind of explain what that means is it as simple as like taking the software and you know putting it into a robot and now that's hardware like how does is it infrastructure build like what exactly does that mean yeah i mean i'm i'm with you there like
29:59Bijan Maleki:Like, okay, listen, the reason why this narrative of, oh my God, wait, we're going back to hardware is happening, has been partly due to OpenClaw because basically they sold out all of Apple's Mac minis, which is about a, it's up there. It's like an$800 device, I believe. They're all sold out because it caused everyone to believe that you need to run your AI agent and your AI locally at home. Now, listen, I come from a Web3 background. I support that a lot. I quite like that because it could be run privately and you don't have to expose your data and you know what the thing can do. It can't just go randomly outside of your realm.
30:41Bijan Maleki:But there are issues with that. It doesn't scale to the average person, the normal person who has become so used to just being like, actually, could you just give me that thing for me? Like we went from cell phones, remember, being like these big bulky bricks. Then they outsource all the compute to clouds and that's why it's so thin and easy to use, right? So I think we're going to see the same thing happen with all the AI stuff as well. That being said, it's different strokes for different folks. If you're an enterprise, you don't want to be giving your data to OpenAI and Anthropic. Not really, unless they can prove that they are privately holding your data.
31:15Bijan Maleki:But even then, you're like, how can I trust Sam Altman and make sure that he's not taking my data to train an even better model? How do I sue almost$1 trillion valued company? You know what I mean? It starts getting a little murky. So what these companies are doing, these enterprise companies, are they're running their own data servers and racks on-premise, on-prem, right? And it's weird because now the GPU becomes this kind of like weaponized, not weaponized, but like unique asset, almost as valuable as gold, right? You need to keep it protected, make sure there's guards outside, because that becomes the new kind of like gold or physical important asset.
31:49Bijan Maleki:But for consumer companies that act as a platform for different regular consumers like UI, they might not actually care that much. They just want a quick, easy service. And I think both will win. I think Apple is actually primed the best to basically facilitate both sides of those things because they have a private cloud. They have the best devices with the most cutting-edge components to be able to run local models. Put it this way. If there's a local AI model that can run on a device, it's going to be an Apple device. They're going to be the first ones there. So yeah, it could be either or.
32:25Ejaaz:Yeah, especially with like, I mean, yeah, that'd be very powerful, especially with the amount of Apple users there are around the world. Could be very interesting. So I want to ask you another question that I've been hearing a lot about and want to get your take on, right? Because apparently we're in like an AI race right now between the US and China. And I've been hearing that whoever wins is going to become the superpower for the next generations. But is it really that simple? Is it only just between the U.S. and China? I'll ask you that first before I have some follow-ups on that.
33:00Bijan Maleki:Sure. I guess that's the most obvious rivalry right now. China is probably the most advanced country after the U.S. when it comes to AI. And to be honest, they're even more advanced in quite a few different ways. They're leading the open source charge. They have the most energy and power generation set up. I just spent like 10 minutes explaining how power generation was a constraint in the US. Not really in China. They have a ton of it. Where they lack is GPUs and hardware devices to train these AIs. But they're leveling up pretty quickly. Guess who's the manufacturing giant of the world? It's China.
33:38Bijan Maleki:They can do it with cheap labor and scale it out massively. But then the counter argument to that would be like, ah, but robots are going to really be the cheapest way to scale. And like, OK, well, China also has the most robots. They produce three times more robots than the entirety of the rest of the world combined. Right. Last year. So, you know, China is definitely I don't know whether you would want to consider them a competitor or a threat. I do think these models are going to be used as a geopolitical weapon in the future. we saw this week, Anthropic announced that China had actively attacked Claw to steal its blueprints.
34:11Bijan Maleki:And this comes a week after OpenAI and Google said the same thing. So it's definitely a thing. They even named Labs Moonshot AI, Kimi K2, and then DeepSeek as well. So it's definitely happening. It's become like a very contentious point. And whoever wins, wins. So, you know, gloves are off. It's like, it's a big deal. It's something that we should be taking seriously. Yeah.
34:32Ejaaz:And what I've been hearing, too, is like they also seem to be going down U.S. and China, right? They seem to be going down different paths of like how they're focusing on AI, right? Where in the U.S. it's kind of private sector driven, right? We have the Googles and videos kind of driving that. And then China, like you were saying, it's they're looking at low cost, open source, right? And I've been reading that they're pushing adoption in areas like healthcare, I think education as well. So what are, I guess, what are the pros and cons to you of each approach?
35:03Bijan Maleki:To be clear, I think if China was ahead in the AI model race, that would not be open source. No way. Open source is a strategy they're pursuing to dismantle USA's head start. How do they do this? Well, if you can steal AI model secrets from the frontier US labs and then train your own Chinese models and then open source it to everyone, what happens? Now, OpenAI, Anthropic, and Google don't really have the moat that they can charge a premium on and make loads of money on. So their stock price tags, their offerings tag, they need to be reduced closer to what the Chinese people are pricing, right?
35:43Bijan Maleki:So it gives them more leverage. So that's what Meta tried to pursue when they realized they were behind on the AI race and they tried to catch up. They open source all their lumber models that failed. So now they're trying to like hire a bunch of like people for billions of dollars and train their own model. My bet is the model that they're going to release in a few weeks or even a month's time is going to be closed source. So it's a, it's a, it's a game, but China's not doing this altruistically. Don't make that mistake. Yeah. Yeah.
36:11Ejaaz:So I want to, I want to, I feel like I might be jumping all over the place, but like with this, right? And we discussed the human impact. I want to kind of ask you, what do you think maybe in the next three to five years are like some of the biggest human impacts this will have that we might not be talking about right now?
36:32Bijan Maleki:It's a good question. So the obvious one is job displacement. And I think white collar workers are going to be the ones that get hit the first. The conversation that hasn't been taken seriously yet, but will happen in the next five years, three to five years, is manual labor. People don't take it seriously because they don't see robots walking around them normally in the world. Let me tell you, by the time you do, it's already too late. These robots started as a toy. They were a toy for a very long time. And as of the last six months, they became much, much less of a toy. And I think this year, you're going to see them being scaled to industries that doesn't affect you specifically, but they'll be automating factories at this point.
37:17Bijan Maleki:The fun part is robots have existed for a while and have been displacing people out of jobs already. Amazon is one of the biggest users of robots. And in their warehouses, they operate everywhere and they're way more efficient and cheaper and they can run 24-7. But they've worked in cohesion with humans because some of these robots aren't adept enough to do some of these actions, like pick things up, visually look at something and be like, I don't think this works or blah, blah, blah. You need humans, right? So humans have always worked in cooperation. That's not going to happen in three to five months.
37:50Bijan Maleki:Three to five months, three to five years. These robots, these human robots are getting really good. They can pick things up. They are super strong and they can work 24 seven. So you don't need to rely on a human not waking up and making their shift. You can just use a robot. So that's another thing that I feel like humans aren't really ready for. And then the other general take is kind of like the point Matt Schumer was making in his article, which is like, if you think your job is safe, it's probably not. So just, I'm not saying it's going to change tomorrow or in the next year, but you should very much be aware because this isn't a joke anymore.
38:23Bijan Maleki:You know, you've got companies cutting 40 % of their staff and it's not just a couple hundred people, it's 4 ,000 people. You're going to see more of this trend happen this year alone. And just because it's not your company or sector doesn't mean it's not coming in for you. Yeah.
38:36Ejaaz:Yeah, very well said. And I think, you know, what we saw yesterday with Block, and I think that's just the first of many future dominoes to fall in that. And to bring it back to a more optimistic note, you did say something here and last time on on Rec, you were on Rec Division about the progress it can have in health care, right, and solving diseases and, and illnesses that, you know, humans never have even come close to. And I think that's a really powerful human, positive human impact that it could have in our future as well. I don't know if it's three to five years away, but I definitely think that's.
39:14Bijan Maleki:Agreed. Yeah.
39:16Ejaaz:So I know we kind of discussed this when I asked about what that 25 to 40-year-old can do if they're worried about AI taking their job. But I want to take that another step further. What about people that are excited about this? I know we said we can have a$20 subscription and just start using it. But like, what is like, how can someone capitalize on this transition productively, financially, beyond just buying the same tickers that, you know, someone is saying on Twitter or anything like that?
39:48Bijan Maleki:Are you asking from like an investment perspective or like productivity?
39:52Ejaaz:Oh, let's go with both because I think those are both very powerful. Got it.
39:57Bijan Maleki:Yeah. Got it. So from a productivity point, listen, like if you're excited about AI, you've probably figured out that even a couple hundred dollars a month, which is very expensive, by the way, a subscription, excuse me, can pay for itself if you use it correctly. And so those people are already kind of pretty much power users if they can afford it. And these things are expensive, but they're going to get cheaper with every single model release. So keep using it. I personally love using Anthropics Flawed Cowork, which is a, call it a safer version of OpenClaw where there's less security risks.
40:34Bijan Maleki:You're more limited in what you can do, but it gives you a good taster. So what you can do, you can get access to that with a pro plan or with a max plan if you want unlimited use. Try and get access to spinning up an agent and getting it to do very basic things for you, whether it's giving you a morning news brief in the morning, or if it's like, you know, helping you automate a very boring, arduous task, which you just can't be bothered to do. Just try getting an agent to do that. It's a weekend project. It'll take you, you might think it'll take you a couple of hours. It'll probably take you 10 minutes because these models can just code up an app for you.
41:06Bijan Maleki:You know, the next time you can't open an app on your desktop, just like literally add it to a code or GPT and say, hey, can you code me up an app that helps me look at this? And also like is intuitive for me to use and it'll just do it in five minutes. It's a very weird way to kind of get your head around. In terms of investments, I don't want to be dishing out specific investment advice, but all I will say is that if you think that all the important tickers and companies have reached their climactic point, my personal take is that's not the case because people aren't pricing in how powerful these things are going to become.
41:41Bijan Maleki:If you were surprised by NVIDIA absolutely smashing their quarterly earnings estimates, by the way, they've done this for like almost a year and a half straight. I don't be surprised if they do it again, the next quarter is all I'm going to say. So there's a lot more room for these things to go, assuming demand keeps up. And right now, all the data shows that demand is sky high. Like you've got 10-year-old, five-year-old GPUs, sorry, that are selling for above the price that they sold when they officially were launched I mean, they were new. It's crazy.
42:13Ejaaz:Yeah, just absolutely crazy stuff. And I couldn't agree with you more, Ejaz. I think we barely scratched the surface of where this thing is going. And one thing I want to just kind of button home, you guys mentioned this last time, and Raul and Andreas actually talked about this most recently. What makes this different, because people talk about this as an AI bubble, this is not being funded by debt. These companies are actually using real cash to buy this. So it's very different from 1999.com bubble. So that is optimistic in and of itself.
42:45Bijan Maleki:Even if they wanted to go use like a bunch of debt, and there's a bunch of private market stuff, but it's nowhere near as big as the.com bubble just yet. But even if they wanted to go into debt, they can't because there's no power to power the things that they're trying to go into debt for. So it's like, yeah, it's hard.
43:00Ejaaz:Ejaz, it's been a pleasure having you on as always. We look forward to having you back on Rectivision. Just fantastic conversations. Likewise. You have a great, great week. Yep. Take care, everyone.
43:12Bijan Maleki:Thank you. See you guys. You obviously enjoyed the episode because you're here with me at the end. But listen, don't forget to go to realvision.com forward slash join and grab a free membership. It's an incredible community packed with alpha, great investment ideas, and the research that you need to help you unfuck your future. So get started now. Go to realvision.com forward slash join.
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From the publisher
This week on REKT Vision, Bijan Maleki, filling in for Mando, sits down with Ejaaz, founder and CIO at 26CC, to close out our Trading the Future content campaign. They discuss the biggest narratives and themes driving the AI market right now, including Block's shock decision to cut its workforce by nearly half in favor of AI tools.
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