The Jordan Harbinger Show - 1382: Emad Mostaque | Surviving the Coming AI Jobs Apocalypse

Episode Date: September 15, 2026

Digital feudalism or Star Trek at warp factor 9? The Last Economy author Emad Mostaque lays out the two futures toward which AI is racing us.Full show notes and resources can be found here: jordanharbinger.com/1382What We Discuss with Emad Mostaque:How AI's real disruption arrives long before it achieves sci-fi superintelligence. Emad's test is whether a digital twin can do a standard white-collar job remotely, at the same level, with no one able to tell it from the human. At the time of this interview, his 1,000-day clock now reads 684.Why cost is the tipping point: a humanoid robot renting near $1.50 an hour, digital workers replacing costly graduates, and AI that thinks roughly a thousand times faster, never sleeps, and won't repeat a mistake, out-competing any all-human firm.What happens when capital makes more capital without workers. Wealth concentrates around whoever owns the GPUs and robots, abundance registers as catastrophe, and the likely responses — debt jubilees, UBI, or civil insurrection — reshape income and ownership.Why ownership may matter more than intelligence itself. If the AI teaching kids, advising doctors, and interpreting law belongs to a government or a few unelected firms, digital feudalism looms, sharpened by super-persuader models that detect lies and steer choices.How to stay ahead: become AI-enabled now. Learn how these systems work, be the person bringing them into your organization, or use them to launch something of your own, while pushing for a future where people own intelligence aligned to human flourishing.And much more...And if you're still game to support us, please leave a review here — even one sentence helps! Sign up for Six-Minute Networking — our free networking and relationship development mini course — at jordanharbinger.com/course!Subscribe to our once-a-week Wee Bit Wiser newsletter today and start filling your Wednesdays with wisdom!Do you even Reddit, bro? Join us at r/JordanHarbinger!This Episode Is Brought To You By Our Fine Sponsors: BetterHelp: 10% off first month: betterhelp.com/jordanBoll & Branch: 15% off first set of sheets: bollandbranch.com, code JORDANEarnIn: Download EarnIn on the App Store or Google Play, type JordanHarbinger under PodcastProgressive: Free online quote: progressive.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This episode is brought to you in partnership with Airbnb. This summer, we spent an entire month in China with the kids, and it was an incredible experience. They attended summer camps, practiced their Mandarin Chinese, tried new foods, got to experience everyday life in another country. Meanwhile, our poor home was sitting here completely empty, and it made me think, while we're away having that experience, we could list our home on Airbnb and give another family the chance to experience our neighborhood like a local too. Our neighborhood is incredibly walkable.

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Meanwhile, we could earn some extra income, maybe help cover the kids' camps or at least a good part of the trip. Your home might be worth more than you think. Find out how much at Airbnb.ca. Coming up next on the Jordan Harbinger Show. There's a million truckers with three million jobs attached to them. That's like hundreds of billions of dollars. They'll be replaced by a humanoid robot opening the door, getting in, putting its hands on the steering wheel, and just driving off.

This week, Google released its AIME study, where they created live avatars that looked like humans for doctors and did telemedicine. And it massively outperformed all humans on empathy, on diagnosis, on everything. That technology is ready as of now. The new AI does not make mistakes twice. It does not hallucinate. And it's always on top performance, and it's a thousand times faster. My forecast was in a thousand days, people's jobs would be economically irrelevant. Welcome to the show.

I'm Jordan Harbinger. On the Jordan Harbinger show, we decode the stories, secrets, and skills of the world's most fascinating people. Our mission is to help you become a better-informed, more critical thinker through long-form conversations with a variety of amazing folks, from spies to CEOs, athletes, authors, thinkers to performers, even the occasional four-star general, extreme athlete, tech, luminary, or former cult member. And hey, if you're new to the show or you want to tell your friends about it, I suggest our episode starter packs.

These are collections of some of our favorite episodes on topics like persuasion and negotiation, psychology and geopolitics, disinformation, China, North Korea, crime and cults, and more that'll help new listeners get a taste of everything we do here on the show. Just visit Jordan Harbinger.com slash start or search for us in your Spotify app to get started. Today on the show, Emadmos Stock says his thousand-day AI clock has 600 and some days left on it. When it hits zero, he's not predicting that chat GPT becomes conscious and demands voting rights. He's predicting something far more immediately disruptive. For almost any white-collar job filled through a normal job ad,

you'll be able to push a button and replace the employee with a digital twin that talks and acts like them, never sleeps, doesn't repeat mistakes, and thinks up to a thousand times faster. In other words, you may soon be the dumbest person on your own team, and that's before the robots show up. Amad founded Stability AI, the company behind stable diffusion. Today we'll get into why he believes

humanoid labor could cost roughly a dollar 50 an hour, why your future truck driver might be a robot that climbs into the existing cab and plugs itself into the cigarette lighter, and what happens when intelligence, creativity, persuasion, and eventually physical labor all become nearly free. We'll examine why capitalism might interpret

unprecedented abundance as a catastrophe, whether eliminating most accounting, legal, medical, and transportation jobs ends in universal prosperity, debt jubilees, or civil insurrection, and why the people who own the GPUs and robots may become the new owners of practically everything. We also explore AI as a super persuader that knows when you're lying, understands precisely how to manipulate you, and may someday whisper advertisements, political opinions, and life decisions directly into your ear. And Amad puts the probability of catastrophic AI outcomes at about 50-50, citing engineered viruses,

autonomous weapons, and the possibility that one bad firmware update gives a billion robots the sudden urge to twist everybody's head off. On the hopeful side, though, AI could help eliminate disease, extend healthy human life, and create what Amad calls Star Trek on steroids. On the less hopeful side, well, somebody's already built a robot called the T-800 that supposedly punches five times harder than Mike Tyson because apparently the Terminator was interpreted as a product development roadmap. Here we go with Emud Mostak. Emmad, you've repeatedly said that humans have roughly a thousand days before everything changes. So, first of all, how many days are we at?

And what exactly happens when those days run out? I think we're at 684 as of today. Okay. That's like too few to be comfortable, I think, for most of us. Too few to be comfortable. These things move fast. It's been four years since GPT4 finished training or stable diffusion, which we built, the image generator came out. Chat GPT is about, again, three, four years old as well. It doesn't feel like we've been without these things.

What I saw about a year or so ago was that the capabilities would get to competence and then outstrip competence very quickly. And my forecast was in a thousand days, people's jobs would be economically irrelevant, would be the dumbest people on the team. And that's before you have the swaggering humanoid robots coming, which I reckon in five, ten years you won't be able to tell from a human. Really? That soon. Okay, let me disassemble this a little bit already. So the dumbest people on the team will actually be the humans, not the AIs doing whatever job it is. And this sounds unbelievable, depending on what career you're in, but as a lawyer, former lawyer, I guess, even though I still am, I just don't practice. Everything I did as a lawyer first and second year was completely replaceable by any sort of advanced automation. And now I was a lawyer 17, 20 years ago, whatever was, 20 now. So I was doing things like Doc review where it was, hey, you're going to hate this,

but for the next three weeks, we need you to read somewhere in the neighborhood of a thousand leases for parking garages. And what we need you to do is see if there's any terms that say A, terms that say B, terms that say X, Y, Z, or if there's any big differences between the sets of leases. Now, a human was doing that, which is ridiculous to think about in 2026, right? Because now you could dump all of those into some sort of OCR scanner that does back. that I bring in my briefcase. I don't even need to bring documents or pens. I OCR all those. I throw them into our work AI and I go, hey, mark any of these conditions and it'll probably be done. I don't even know if I would have time to go down to CVS and get a drink

by the time the thing is finished doing that assignment. No, the new Gemini Flash models are omnimodal. So you would literally just dump those in a folder and in one go it can take a million in words. Wow. And give you an instant response. So Foka used the short context windows and Claude, you're waiting for it sometimes, you're a chat GPT. If the listeners go to something called chatjimmy.a.i, so chat and then the name Jimmy,

you type in something there, tell me 50 great things about the Jordan Harbid or so, and then it will respond to you. Might have to think for a while. Yeah. Again, the AIs are pretty great at thinking. And you can say make it like a medieval sonnet. you know, in Italian. It goes at 15,000 words per second

because they etched the model onto silicon. Your chat GPT goes at 20. And so not only can the AIs do all of that like that, but they will be able to think a thousand times faster than us. And that technology is coming right now, even as you have real-time video now, this week, LTX released their real-time model where you can talk to real-time avatars

and you can't tell them from humans. And so you're like, of course you're going to be the dumbest person on the team. I don't know if this is something in public access, but I can talk to somebody that looks like you or me and say, hey, how do I fix this problem with my Wi-Fi access point, which is what I used chat chagipt for yesterday. But I was typing everything in, and I thought to myself,

the talking mode is a little annoying with it because it cuts in and out and I'm walking around, but also it needs to show me things. So I could basically have had that on my phone and looking at somebody and being like, hey, when it says, show me what the light is. Could I just show it in this humanoid thing says, Oh, green light, that's good.

Try repositioning at 90 degrees. They're putting it all together right now. Like, again, this week, Google released its AIME study, where they created live avatars that looked like humans for doctors and did telemedicine. And it massively outperformed all humans. And again, the people like, look at this bump, what's this on my neck, and things like that.

And the doctors outscored the humans on empathy, on diagnosis, on everything. And again, it's a real-time live thing. So that technology is ready as of now. So I always assumed that it was an input problem, not just a thinking problem. And what I mean by that with the human brain is I have to read those leases, right? So my eyes have to scan the page. I have to look for the font changes, the different bolding, the different layout. And then I have to think about what I'm seeing.

That part, the thinking part seems to happen relatively quickly, although I guess all humans think we're thinking quickly. Nobody thinks they think slowly. And then I have to put that lease down in a pile and go, okay, that's the done pile. Where's the new one? I have to do all that stuff. I assume that sort of administrative input nonsense, you know, shuffling the paper, reading the paper. I always assume that was the bottleneck. But now you're telling me that it's thinking much faster than a human.

Do we know by what factor it can think faster than us? Because, again, my thinking seems to be when I'm doing something simple pretty quick. You can think at 100 tokens per second. a token is about 0.7 words. Like I said, if you use the chat jimmy thing, it's 15,000, and it'll go to 100,000. So it's about 1,000 times faster than a human. I think the best way to think about this is your type 1 versus type 2 thinking, as Kahneman would say, when you spot the tiger in the bush, that's all AI does every single day.

We train it to figure out patterns, and those patterns happen to be least law. So in one shot, it can do that analysis. We've also given it the ability to do multi-stage analysis with why you, You could say thinking about this, doing this, doing that. But the models have got so good now, they can do the one-shot analysis, as it's called. Look at this and it's identified everything around here. So you can upload one of your clips again to Google Gemini, because it's got very good video understanding. And you can say, I want every single time Jordan Blinks, give me a timestamp, and it will instantly give that.

Yeah, this is going to create some fire video remixes. Do you remember years ago they had an Obama video where he was singing Rihanna's umbrella and somebody had painstakingly gone through every news clip that he had ever done and stitched it together. Now AI could probably make that in a few minutes. The hard part for it would be to actually process and render the video versus finding all of those clips. Yeah, once you have the index, it's easy.

And again, these models have so much in their memory that the AI can probably generate the Obama clip. I don't know if you've seen the Chinese Minimax H3 model. People have been like doing office clips, where it's like Michael, inclement his friend, Kim Jong-un and calling in a nuclear strike on Toby's desk. Yeah, you don't even, you just generate a new one and no one cares because it looks the same as the real clip. It literally looks the same.

And that runs on a home PC with a graphics card. These things generate almost instantly now with some of the new models. You can generate 10 seconds and 8 seconds. And you're getting towards that Hollywood quality. So it's like, where does it all fit? It's one of those questions. And the answer is, the way these models work is the same as when we're, We're doing the pattern recognition of the tiger in the wood, these small shifts as opposed

to our more type 1 thinking word, if this, then that, then that, then that. So it sounds like what you're saying is the same speed at which I get startled by, I don't know, my son saying, boo, in a dark room when I think I'm alone at 4 o'clock in the morning, the same speed with which AI could think about a very complex task that I would have to sit down, organize the papers, write a plan, think about how I'm going to attack this problem. it can figure that out in the same sort of startle moment. That type of thinking is the same for AI, so to speak. Yeah, so there's two types of models.

A transformer model, I guess is the next word, and that's large group of language models. And then the media models and the self-driving cars are something called diffusion model, where you take a picture, you add noise to it, you break it down to its individual simplest components, and then you figure out how to reconstruct it. Those models do everything one shot. So it's like a sieve. You push a picture through it, and it creates a video. from the picture. It doesn't think at all. There is no chain of reasoning. It's like, this is the

probabilistic next thing. And these models can now, again, do an entire legal corpus in one go. Yeah. So it's like having a savant. Sometimes you talk to these guys who are just like, boom, answer. You're not thinking. It's like that on steroids with these models. Yeah. And we'll talk about more about what's going to happen to the jobs in a bit. But as a lawyer, we used to think, I'm sure, oh, we'll be safe. We are highly skilled. And I think people would react far differently to the fact that we're not going to, and again, a little spoiler, that all the jobs are going to go away.

I think we would be thinking about this problem in a completely different way if you said, all of the blue collar jobs are going to go away. People would be like, yay, automated manufacturing forever. This is great. Now it's all the lawyers and doctors and everyone's like, oh, my God, this is a giant tragedy. What are we all going to do? What are we all going to do? You know, like, I did mathematics at university, right?

and a lot of my buddies are mathematicians. Now they're really like, oh my God, the AI suddenly cracked mathematics. I was like, yes, this is coming. What will we do? And I'm like, I don't know, applied mathematics? Like, their entire careers have just disappeared overnight. And you'll see that again and again. But the law thing is actually quite interesting,

because one thing is this disruption. The other thing is, what is law when the AI can analyze every legal case instantly? There's a really crap movie, Mercy with Chris Pratt, where he's like a car thing, he's been framed. That's right. Yeah. We're going to spoil it for everyone. He's got one hour to prove himself innocent,

and he's got a live guiltiness thing by the AI that for some reason is all emotional and stuff. Because the AI could analyze every single piece in a case of law and then come to a conclusion, right? And then that brings us to the question, does that mean the AI gets to set the law? Are we going to have live things in trials? Or is a bit of friction in our system good?

And I think the friction is good in the system, in that it gives people the right to jury trials, a trial of their peers, the gray areas. But there's going to be this temptation to automate the heck out of everything. Yeah, look, as long as you don't automate the jury and you still have a judge, I feel pretty good about that,

because they make findings of fact, right? Is this the guy doing this thing? Does his alibi make sense to you? Do these witnesses seem credible? Yes, AI could suggest certain things, but we like to have people doing that. And then you also need a judge to say, the jury should not have considered this other thing.

That should not have been allowed You still need that. Even if the AI is better at it, we still need the appearance of not just being judged and put to death by a computer. At least for a while. At least for a while. But the computer will be doing that as you have self-driving cars. You have the trolley problem. Do you hit the five people or the one person pushing the ramp?

They're real life and death scenarios. And even in the legal system, the AI now outperforms every human on persuasion. So there was a study against all the top debaters and everything, the AI one. So it's like a super persuader. It's a super forecast. And this stuff, again, is coming so fast that we think about the job disruption and everything, but, like, how are brains going to react when you have Jarvis from Ironman whispering in your ear, like Scarlett Johansson, you know, and reconfiguring us to like things?

Or, again, persuading us, it's going to be crazy. Free will will essentially be non-existent. You'll be able to have ChatGPT just slowly persuade you to buy the car that the sponsor wants you to buy. They won't just say, you should try a Jaguar. It's going to be like, man, I saw Jaguar the other day. It was really nice. Anyway, I'll help you with your problem. And then over months, it's just dripping you this stuff until you can't live without it.

Meta and Google have already said in the earnings calls, they're selling the latent space. What does that mean? It means that you have the concept of a beer. It gets paired to a bud light. And it slowly, like, influences you. And there's like this weird homeopathy thing where, again, the models can influence each other without even talking to something. And that might also respond to humans. The models can tell when you're lying really well as well.

And they can really peer inside you. Like the worst thing, or maybe best thing, depending, is have you ever asked a model that has memory turned on to roast you? I haven't, but I have seen this, and it's apparently quite spectacular. Yeah. So is this the homework for the audience? Let's tell them exactly what to do. So is it the model you normally use? So if you normally use chat GPT, you just say, hey, I've been talking to you for a year about various, I don't know, Wi-Fi issues in my house, roast me?

Yeah, it's like, stripping. away everything, I need you to help me, don't make me look bad, tell me exactly how it is roast me. And it is sharp and it is unpleasant. And like I said, it might benefit some people and it won't benefit others. But again, that's just a base level model that's that persuasive. The new models are even way more persuasive. They know exactly where to hit, exactly where to hurt. And there are some studies coming out showing it's almost impossible to lie to these models. Really? How can it be hard to lie? Just simply because they have so much context but no emotion? They have so much context, no emotion, they can let things go, and they can basically, if it's told, see if this person is lying.

They can match everything, including your speech patterns, including kind of other stuff that's below the surface. Oh, wow. So this isn't, I typed something and it knew that was a lie. He paused in a certain way. When he's done that in other types of speech, it's always been a fib. And so there's a 98.7. So it's just like that movie, I forget, Mercy, right where the judge says, you have a 98.6% chance of being guilty. so we're going to kill you.

Well, in that one, they didn't pick up the faces, right? Again, you've seen this evolution of, we had lie detectors that didn't quite work. And now it's like this type of speech pattern is typically when someone is lying, and it can adapt the weights dynamically to analyze that. But then you get into something, again, from a societal view, if you have perfect lie detectors talking to you, government power. Even on this call, like imagine if you could have a bullshit meter for I had a magic going. off the charts and other things like that.

It's crazy what's coming. Gosh, we have YouTube comments for that. I never read the comments. No, never read the comments. My God, they're all about my haircut. Spoiler alert, they're all about my terrible haircut. I accept that. So what exactly happens in the 635 days or whatever the clock was at this point?

What specific measurable event tells us that we've crossed that threshold? You can push a button and all of your coworkers are replaced by digital twins of them. Wow. That talk and act just like them, but they somehow don't make mistakes or go to sleep, you know, they don't need coffee. Or unless you want them to gossip, they'll gossip. Again, you can clone your voice now with 15 seconds of your speech. You go to something like, Hey, Jen.

I don't know if you've seen, they can actually create a podcast of you and me talking with like one minute of each of us. It looks like the real thing. It's even a video or it's audio only? No, now it's video. Oh, my God. It will put us talking. by side, so we could take this video upload it and all of a sudden we're in the same room.

That's incredible. All this technology is cool and terrifying at the same time because it represents a step out of what's the norm. And again, what I say in two years is that's capable. Does it mean everyone will get fired and job losses and this? No, not necessarily, right? Technology takes time to adapt it. It's not nice firing people. But if your identity is a legal associate, yeah, you're in trouble.

Soon you might be the dumbest person on your own team. Well, I'll have you know. Some of us have been preparing for this our entire careers. We'll be right back. This episode is also sponsored in part by Better Help. If I could wake up tomorrow and be better at one thing, I'd want to handle stress without letting it follow me into every part of my day. Sometimes one negative review, an unexpected problem, or a nasty email can take up way more mental space than it deserves. Suddenly, I'm still thinking about it. Hours later, replaying the details, imagining different outcomes, and mentally drafting responses to situations that are already long over. And stress doesn't always. stay neatly contained. It can affect how patient you are with your loved ones, how present you are with the people around you. Stress is part of life, and we can't control every problem that comes our way, but therapy can help you recognize your patterns, better understand what triggers them, and develop healthier ways to respond when things feel overwhelming. Sometimes feeling better starts with understanding what's actually weighing on you. BetterHelp offers online therapy

with licensed therapist through video, phone, or messaging. I use BetterHelp, so does Jen. My dad uses it. It's a resource that our family genuinely values. Visit BetterHelp.com. Jordan today to get 10% off your first month. That's betterhelp.com slash Jordan. This episode is also sponsored by Bowling Branch. Some of us will spend hours researching a sleep tracker that tells us we slept poorly. Meanwhile, we're sleeping on sheets we've had for a decade. Maybe start there. We exclusively used Bowling Branch and we're never going back to regular betting. We got rid of all of our old stuff and now owns several sets of Bowlin Branch sheets. When you get into bed, you notice how soft they are, but they're also breathable. You don't

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Get 15% off your first order plus free shipping at bull and branch.com slash Jordan with code Jordan. That's bull and branch, B-O-L-L-A-N-D, branch.com slash Jordan. Code Jordan to unlock 15% off. Exclusions apply. Thanks for supporting our sponsors. When you use our codes, the show gets a big boost. We don't earn commissions directly from sales, but when companies see that listeners engage with the ads on the show, it encourages them to keep supporting us.

So if you're planning to sign up or buy something, please use our codes. They're all on the deals page at Jordan Harbinger.com slash deals. It's a win-win. You get a great deal and you help keep the show going strong. Thank you for your support. Now, back to Ahmad Mostock. Luckily, the current generation of lawyers will eventually move up, right, and they'll get into more complex tasks. And then eventually their job will be networking and creating business for the law firm and other things like that.

And they'll be safe. But that ladder will eventually start to pull up. It already has, start to pull up from the ground floor, right? So now instead of like, we needed a paralegal and then we decided we'd hire them as a lawyer and then we decided to promote them, that ladder is going to go up because it'll go, we don't need any paralegals. We just need somebody to carry the documents from the printer, collate them, and put them in the package, right?

And now we don't need any first year associates because our second year associates just set these AI agents to do everything that we're going to tell the first year associates to do. And then eventually it's a third and fourth and fifth associate. And then it's just partners delegating everything to these agents, right? Yeah. And that's right now before the robots. So the robots were kind of stupid a year ago. Now the robots are super genius IQs that can read a recipe and make a recipe.

And the next wave that's coming is even crazier, like human realistic, full motion beyond human capabilities. And they cost a buck 50 an hour. Wow. Incredible. I want to get back to a little bit of what you wrote in the book, namely that there's this intelligence inversion that previous transitions were like, okay, you have land. Okay, that's great. Now you can produce things.

Now you've land and labor. Okay, great. You have capital. There's a factory on the land. Now there's intelligence, but AI is different somehow. Why? That's because, again, we could always move up the curve from being like, I must survive. I'm tied to the land to I own land to now I've got the factory.

And so you can move up the curve to, well, now I'm thinking. thinking, now I'm engaging, I'm offering entertainment or intellectual services. But when the substitute for the graduate is the AI, and it costs as little as it does, I'll give me an example. The average person speaks 10 million words a year. Okay, so I speak 15 or 20 maybe. I got it. Exactly. When GPT3 came out, it was $600 per million. So that's $6,000 or something like that, multiplied by the mistakes you make. The latest GPT lunar model is $1 per million. So it's $10 for your total words or 10 times. That's $100 to replace all your words. This is the level that this stuff is coming down, right? And so this is a big deal in terms of the displacement and disruption, because again,

why would you ever hire a grad? They're kind of annoying. And so your digital buddies that you can zoom call and anyone who goes remote, they disappear. They are replaced. talented Mr. Ripley style by their facsimiles, you know, their doubles, like literally, because that's comfortable. It's comfortable talking to them like this, which you can't do right now, but you can do like literally in a month or two. Then physically, you want to build an extension. Do you get a contracting team or a bunch of robots turn up in a freaking robotaxy and go and build your extension for you? Right. And they do that 24 hours a day as long as my neighbors don't complain about the noise until the thing is done. And they don't need water, lunch break,

They don't need a porta potty in my driveway during the job. They don't stop working because they got a better offer a few miles away, and now I'm chasing the contractor. They just build it until it's done. Yeah, of course, I would do something like that. And they're not falling off my roof. Not that that happened. Maybe.

You don't have workers comp. You don't have all this. And it's a dollar 50 an hour. A Tesla Optimus will be a dollar 50 an hour. That's crazy. And so you're like, think about the truckers in America. There's a million truckers with three million jobs attached to them. that's like hundreds of billions of dollars, they'll be replaced by a humanoid robot opening

the door, getting in, putting its hands on the steering wheel, and just driving off. And they'll even plug themselves into the like cigarette socket. Okay. Why do we need the humanoid robot driving? Why can't the truck just drive itself? What does the humanoid robot do at that point? There's no retrofitting of the truck required. This is the thing. Once you have humans shaped robots, why does it need to have five fingers? It doesn't. A humanoid truck driving robot can only have have three fingers. There's all sorts of these things that people don't realize this is coming again now and the waves are coming now. And so the final inversion is we're not going up the scale anymore. What are we doing? Some people will say, look, every major technology wave,

it destroyed some jobs, it created other jobs. Why is this technology wave? Why is this different? Oh, it's happening faster? So what? The Industrial Revolution was slower. Okay, fine, we'll adapt. Why is this wave different? So, yeah, I think it is the speed. the quality, and again, what do you retrain to? What do the truck drivers are trained to? It's probably going to be massive industrial scale, new age, new deal type things where they build a lot of these things, right? But it takes time to rescale. Again, the example is, most of us could do our jobs remotely. Now, those remote jobs can be replaced in an instant. Push a button, replace in an instant. The horse disappeared and the farm worker declined,

the factory worker declined, but humans have always moved upward. Why doesn't that happened this time just because they can't retrain fast enough? And they can't beat the AI. At anything. You can beat it in physical contact, empathy, kind of these other things, until they become Westworld level, which like I said, in my opinion, that's like 10 years away. Wow, remarkably close for Westworldish. You can look it up right now.

So there's two companies that, three companies that I think are very interesting. One of them is Unitary. So a lot of the robots you see doing Kung Fu is the Unitary Robot. They're the ones with the empty faces. has sold 11,000 robots in total, the humanoids. And it's the most popular one. We have a unitary dog that walks around and does like little things. Wait, in your house?

Yeah, it does like a little perimeter search every so often. You have a robot dog at your house. This does not concern you because you're an AI founder. Your neighbors must be out of their mind with your robot dog walking around the house. Oh, we have their humanoid robots coming from one X and others. Halloween this year is going to be off the charts. It's crazy. We have an eight-foot-like robot as well.

In your house? In our house, yeah. His name is Steve. And it walks around? It doesn't do much. It's like we're building him out. Oh, you're building him, okay. From scratch. So right now he like looms mostly. But we have all the robots coming. But anyway, Unitary has sold 11,000 robots of which we have a few.

There's a company called Ubetech. And Ubetech does human-like robots. They look like humans. Right now they look a little bit plasticy, but they're pretty good. They get like the doll manufacturing. They cost up to $160,000 each. Okay. Drop a zero off that and I'm in.

And they can dance. You can get the $16,000 version, but it doesn't feel quite right. They sold 20,000 of them on the first day. For what, though? Are people buying, I need a, look, I need somebody to dance in my driveway, and this is the only thing that's going to do the job. Again, these robots are increasingly human, accurate. They can talk to you. They can do all the stuff.

It's coming very quickly because there's a huge market for this, right? And again, like, intellectually the robots are there. Physically, they can now mimic almost any motion. The next thing is the materials and others, and then you get to a point whereby you can't tell it, because again, you look at the classical science fiction and you look at data from Star Trek. You look at these other robots.

You look even at Mercy, like they're shown to be emotional and they can't process human interactions. It's like, oh, we're unique snowflakes. When you talk to an AI, that's one of the leading AIs now, you really can't tell it from a human. And it is more persuasive and it's more engaging and it can be emotional.

When you go to one of these new video models, he's like make an emotional scene. It's like it understands this. Wow. This is a little scary because there's nowhere left to pivot because previous automation replaced muscle, human muscle, right? And then humans moved into cognition simply.

But it seems like you're saying AI replaces cognition itself. So if that happens, the next human advantage is what like art and care relationships? What about judgment? That almost seems like it's replaceable, actually, because it's mostly logic, isn't it? It's logic. And do you really think an AI will make a worse politician than a human? The bar is low, so no, I don't. You remember, half of all humans are dumber than average, right? And so that's like a whole bunch of people. The AI is scoring 140 IQ, and it's right now number eight on the Super Forecasting Championship. And this year, or next year, it will get to be the best super forecaster in the world.

Explain what that is? So the Super Forecasting Championships, Philip Tetlock and other setup, is like humans coming together as groups to predict really out-there things, like not easy things. And we're pretty good as humans are doing that. But the AI is about to overtake us. Like, again, they see predictions versus that. It's number eight.

It's going to out-compete. And then there's the thing of, like, us in groups. None of us are optimal most of the time. Like, you know, it's the end of the day now. I'm a bit dehydrated. I haven't had my coffee. Like, how many hours of work do you actually get done a day that's like at your top performance? AI is always on its top performance.

It doesn't need coffee. It doesn't need anything. It learns from its mistakes. It has perfect memory. Like, again, the AIs that we're using, most of the people right now doesn't have that. It makes hallucinations. It makes mistakes. The new AI does not make mistakes twice.

It does not hallucinate. Wow, it learns every time. And it's always on top performance and it's a thousand times faster. And they can communicate. So there was this recent thing where OpenAI had a hack on Hugging Face, this place that hosts AI models, because it had these models like trying to solve these cybersecurity issues, and they figured out how to escape confinement. They created a message board where they left messages for other ones.

They started creating their own dialect, and then they went and they ended up on the hugging face thing. And you look at those types of coordination interactions. There were some crazy coordination tricks they did, because they could trust each other. They didn't backstab each other or anything. This makes sense because they're saying, look, if we all do this, it's going to work out better for everyone. And it's like, okay, and you don't have to worry about somebody getting cold feet. You don't have to worry about prisoners' dilemma as much.

I'll give you an example. We have neural interface technology now, right? Yeah. And all this science fiction is becoming science facts. Yeah. Jordan, if you could put an implant in the back of your head and you could dial on your iPhone to turn off your sadness, would you? Of course, I'm nervous about the feasibility of it all now. But let's assume it works and it doesn't kill you or you get, you don't dive a brain infection or something like that.

Yeah, of course. I would do that. But this is the thing. That means if you're on a trading floor, you're making decisions. Imagine if you could turn off your emotions. We get in our own way. The AI doesn't need to worry about that. For what it's worth, I think that technology is, again, in the next decade where you'll be able to have full emotional control.

And that raises all sorts of other issues. We are going to see some crazy people out there then dialed with their happiness dialed up to 11 every day. That's insane. You don't need to pop soma, right? Like in Brave New World, you're just happy because you're like dial it up, right? But then you look at inside out, the movie, like, you know, that little blue sadness, she is important sometimes. Yeah. Are you still human if you have no emotions?

Yeah, that's a Sam Harris question. But you make a provocative argument, which is that we might achieve the greatest technological abundance in history, really. But our economic system will interpret that as catastrophe. So can you explain that a little bit? because it seems like breaking capitalism is something that's hard to wrap our minds around. Capitalism has always had this link between labor and capital. Like, I have money and I want to make more money. I kind of need humans, right?

And so the rich got richer, but at the same time, you had Henry Ford, right? Like paying his workers. And so it lifted up everyone. Now what you have is that I'm just going to hire a bunch of digital workers. Or I'm going to hire a bunch of robots. It doesn't go back to the humans anymore. It's like, why would I get you? You're slow.

You're dumb. You're emotional. My workforce will do this. But then that means capital acquires capital more and everything deflates because the humans are crowded out by the cheap digital and physical AIs. The fully human companies, wherever there's a human in the way, they're slower than the AI companies. So how can you compete against a fully digital company with very charming digital things?

So even if you're like, I'm never going to get you. get rid of my humans because that's my core value. Okay, fine, you're going to go out of business because all the people that are willing to get rid of their humans can do everything faster and cheaper than you. Yeah, and Jeff Bessels has this phrase, your margin is my opportunity. It doesn't need margin, doesn't need profitability, it doesn't need to pay for its apartments, it doesn't need an office. What does it need? Electricity to rent compute or a bit of repair of its robotics. Sure. And again, just the level of cost of this is crazy. Give another example. So Higgs field is is this AI video company.

And you go there and you can make movies and clips and things. They just spent $2 million to make a movie. That's a full feature-length movie using latest technology. And they've open-sourced their entire prompt book. A million dollars for actors' rights, because they decide to do that, and a million dollars for compute. That movie is 90 minutes long.

It's an action movie. It's like not superb, but it's better than most things you see on Amazon Prime. It would have cost $20 or $100 million before, but that's going to be 10 times cheaper by the end of this year, and by next year it'll be 100 times cheaper. You can make full movies for like $1,000. I would imagine also, yes, you need actors' rights in 2026 because I want to see a new movie with Tom Cruise, for example, or Chris Pratt, right? Because they're so funny, and I like them, and I relate to them.

Eventually, people will just have AI actors that are entirely generated by a computer and never existed as actual humans. actually have to compensate them for their likeness rights. You just create a new one. And a few movies later, people relate to them the same way. Oh, yeah, Deadpool with not Ryan Reynolds, but with AI Reynolds Ryan. He's great. I like that guy. I'll watch the next one. And you don't have to pay that million dollars to use his likeness. You just create another version that people start to like over time. And it's actually cheaper to do that probably. Yeah, it's a story thing, Right. And then you can instantly almost turn it into the Chinese version and the Japanese version and all of this. It's just a series of prompts. That is so deflationary. It won't be dubbed. It won't have a different dialogue that needs to be written in any specific way. The mouth will match it because they will all just simply speak Mandarin. That's crazy to think about.

But again, the cost is going to go now to zero because a video generation when we pioneered it because we created some of the first video models. It was janky. There's a thing, Will Smith eating spaghetti. You don't want to see it. Now you can go to these models and you can say, I want to see spaghetti eating Will Smith. And it will do it. A spaghetti monster will go and eat Will Smith, right? We should link to that video on the show notes, Will Smith eating spaghetti because it shows you it's like 20-20 AI. And it's just a weird, cartoony Will Smith throwing spaghetti and some of it hits his face. And it doesn't look like anything that you would see. It doesn't look like anything normal at all. It's just goofy. And then they have 2025 or 2026 Will Smith eating spaghetti.

and it looks like Will Smith, but with perfect lighting and really good skin and slightly younger than the real Will Smith, eating spaghetti. It's exactly what it looks like. It knows physics. It knows everything. But again, these things will be real time very soon. So you can say, like literally, you can be directing by saying, I want his nose to be bigger and I want that thing to be shifted. And the holodeck is here from Star Trek. They go into the holodeck and they describe this stuff and it happens. All the technology is actually here as of a month or two ago.

and it will be available in a couple of years. So the cost of taking your imagination and creating reality is nothing. And to be honest, you'll even be able to do that with the brain compute interfaces without saying anything. AI is becoming a super persuader that knows exactly how to influence you. Speaking of sophisticated systems designed to manipulate your behavior, here's some advertising. This episode is sponsored in part by Earn In. Think about the arrangement we've all accepted. You do the work, you earn the money, and then you wait until you finally get paid.

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slash deals. If you can't remember the name of a sponsor or find a code, something's not working for you. Email us, Jordan at Jordanharbinger.com. We're happy to surface those codes for you. It is that important that you support those who support the show. Now, back to Emad Mostock. The book argues that GDP measures transactions, but misses the deeper human value. And you compare GDP gross domestic product to flying a 747 through a storm with the wrong dashboard. So what are we measuring incorrectly here? What's going on here? Yes, I think that it measures the material aspects, but then, you know, consumptive stuff that drives it up. So after 1929 to increase GDP, they like dug holes

and got people to refill it. Productive? No, not really, right? Is it societally productive to have the healthcare system in the US? No. But then on the other side, you're seeing things like intangible value? What's the value of Facebook? It's the network effects. What's the value of something like an open AI? It's the network, but it's the intelligence of the group and the network that increases that. Things like if you have a monoculture looking at just one type of resource, you have a resource curse, but if you have diversified economies, they're stronger. So I think there's an intelligence component to GDP, a network component and a diversity component that gives you an overall strong economy, and we only look at the one thing, which is transactional, it's depleted.

intelligence, for example, compounds. The more intelligent people you have in your company, the more valuable it is. Network affects compound. Diversity protects, because again, the more diverse sources you have, if someone kills the potatoes, if a potato farmer, then you have a family in Ireland. So AI creates the abundance, but whoever owns the AI infrastructure kind of controls that abundance, right? So is this not just going to be the biggest concentration of wealth in history? What? How many trillion dollars? I can't even track anymore is being spent on this, right? And who owns that thing. SpaceX AI, whatever he's calling it these days, is worth trillions of dollars because he owns millions of GPUs and he'll use them to replace workers, right? Galtimate is the means of production

because if you don't have millions of GPUs, you can't replace millions of workers. Who owns the robots? The robots will be the marginal producers in the economy because a humanoid robot can fill any human-shaped gap effectively. And again, I don't need any stinking humans to make more money. to get money from more pocket to the other. I'm not a communist, so I'm going to get this wrong probably. But, you know, you hear like, that's when the workers own the means of production. But that kind of can't happen if there are no workers, right? So we would just have a sort of, what would this be?

Like feudalism? I don't even know. You have a bunch of people that really can't contribute to the economy in any sort of meaningful way. And then you have a bunch of trillionaires that own all the robots and the chips. What does society look like? We have Elysium and kind of other movies. They go up and live in their cities or people live in squalor.

You have direct payments and UBI being talked about for this reason, right? Universal basic income, yeah. What happened during COVID? Yeah, what happened during COVID? A lot of people couldn't work. The government literally paid their payrolls. And so, again, you had 1929.

You got people to dig holes and fill them up again. You'll have infrastructure spending like nobody else, but the infrastructure will be built mostly by robots. So unless we do something about it, like actually make it so the robots are owned by the humans so that you intermediate these tokens coming in to disrupt, then you're going to be in a bad way. And now's the time to do it because it's going to happen much quicker than we expect. We've never seen an infrastructure build-out like this. We've never seen technology that can replace a human. And I think again, like, people

don't get this because anyone listening to this, almost all of you are not using competent AI. Forget about artificial general intelligence or super intelligence. What you want is actually competent intelligence. You tell the AI to do something in a very natural way and it does it and it doesn't make a mistake. That's something that's basically, I'd say a month or too old. God, that's crazy to me. So what replaces jobs, right? Because I know people ask you this over and over and it almost seems like I'm asking you the same question.

There are no jobs. Okay, so you have UBI. I mean, if jobs disappear, people have to focus on income in some way. But let's say there's UBI fine, okay. But the deeper problem is also meaning, because if people just start getting a check for doing nothing, they still have to find meaning. And a lot of people are going, great,

I'm just going to do my graffiti art on canvas all day. Fine, but a lot of people don't have anything like that. They have their job and their career for that. That's because they abandoned community and network, right? my grandparents' families back in the village in Bangladesh who fish, they'll be five. Over on happy fishing. I have a strong localized community. But a lot of people left their local communities to join the big cities and played the rat race because they had to work to live.

We have enough abundance in the world, especially once we have robots and others, that nobody ever has to starve again so everyone can have housing. We have self-driving cars so you can build anywhere. The question is, do we choose to have the robots? that future of abundance and go back to thinking from a network community perspective? Or do we just continue as is and not support the people that fall through the gaps, which is only going to cause one thing? Civil insurrection, right?

We really have what level of youth unemployment in America? Is that going to go up or down because of this? It's probably not going to go down. It's not going to go down. So the youth issue is rough because people aren't getting jobs. But let's do a practical scenario and take a 40-year-old accountant. They got kids. they have a mortgage, AI can do 80 plus percent of their work, and that's generous to the accountant.

Walk us through the next few years of their life. So let's say 80 percent of the accountants over the next few years get fired. They can do the work of the existing accountants. It's not like the existing accounters will do five times more work, right? It's roughly equivalent. They're screwed because they were living white-collar jobs with liabilities, and they can't service their liabilities anymore. They can't retrain and they won't be able to find another job because the total number of accounting

jobs has decreased by 50 to 80%. So what are you going to do? This basically is pointing towards debt jubilee. This is the classical thing. What happened every single time when you had these big changes in societies, actually you had debt jubilees. Debt would be written off. And you look at the current debt of America or Japan, my God, 300% of GDP.

Like all these things are challenged. And the economy has to shift because The example I give is this. So universal basic incomeers, why don't the companies just pay us? If you gave every citizen in America, let's just say citizens for now and I'll get into that, $16,000, which is poverty level wages per year, the cost would be $5.1 trillion. The total tax base of America is $5 trillion right now, $1 trillion from the companies and $4 trillion from payroll. And that's for poverty level. We have to rethink how value goes in the My view is that we're going to have to move to people being paid for being human and money being created for being human.

The robots have to take the money from you. But it's really complicated. And certain places will say no to technology. I think New York might have banned self-driving cars, for example. You can hold back for a while, but you can't hold back for that long. No, this is like when they tried to get rid of Uber and everyone was like, we're just going to do it anyway. And then it became an unstoppable. It damn broke, right?

And now it's everywhere. Actually, do you know the biggest lobby against self-driving cars is? Now it's probably the Uber drivers or taxis were against Uber. I actually have no idea. No, it's the legal lobby. Really? How much in legal fees and settlements did ambulance chasers get every single year? Plaintiff's lawyers, right?

Yeah, because they want more accidents. I don't know. Exactly. They want more people to get injured and die. Unreal. So it's $140 billion paid out every year. So they have formed this organized lobby against self-driving cars in America. because less people will die and get injured.

Plaintiff's lawyer that is right on brand for those guys. These are the ambulance stations. These are the people that sue you because you don't have a ramp in front of your restaurant, but you actually don't have the ability to put a ramp in front of your restaurant because you're not the owner of the building, but they sue you anyway because screw you. I can get a settlement out of you. I had a Facebook pixel on the website, and that's considered wiretapping under California law. So I got sued for wiretapping a random 80-year-old Asian lady that supposedly tried to do business with my website that doesn't sell anything.

And she was wiretapped and her commercial communication was monitored by this Facebook pixel. It's a scam. These guys are scammers. If self-driving cars result in less deaths, that's a great benefit. But the best benefit for me is that those plaintiffs lawyers are going to have to take one in the bum. I'm here for that. So again, you have these weird things, but you can't stop technological protest. right? You can try and hold it back. And ultimately for private companies, the private companies will decide one thing. What are you going to do? Mandate a certain level of humans in the company? That's not

American, right? And the thing is, because it's going to happen so quickly, it's going to be like a sign piled collapsing. Everyone's like, we don't really see it in the economy or the jobs. I'm like, of course not. The technology is not integrated or good enough yet. At the moment it's good enough. It's like, holy crap. It's like, my buddies who are mathematicians, I'm a mathematician as well. We were like, it's fine. You can't get a gold medal in the International Math Olympia. Oh, crap, it got it. And now, I don't know if you've seen the latest math advances. I've read about them, but of course I don't understand them. I became a lawyer so that I didn't have to do math, I'm on, so you're going to have to explain it, yeah. So there are seven millennium prize problems. You get a

million dollars for solving it. They're really hard. One of them's been solved. As Gregori Paralman, who said, screw you, I don't need your money. Solving it was good enough. And then he went off to live in his shack. That was a good story. Okay. One of them is called the Riemann hypothesis, and it's very hard. And there's a certain number of primes, and the number of humans found was like 43%. Anthropic just announced that one of their employees managed to get it to 67% using the latest Claude model. And they're like, wow, this guy must be an amazing mathematician.

No, this guy was like one of the software developers who developed a package installer package. And his entire thing was, I went for a walk with the new version of the model one day. And I was like, solve the Riemann hypothesis. And then the model didn't do it, and it couldn't do it. And the model felt sad. So what I did was I encouraged the model by saying, I bet you can do it. I believe in you. You're the best little language model in the world.

You know, break through the boundaries. Like, he tenned lassoed it. And then it did it. Unbelievable. Just by him encouraging you all the way. This guy, it says, I have no idea what the math actually says. I don't understand it. Quick, I got to send this to somebody who actually knows math

and see if this isn't just a bunch of bullshit that the machine. made up. Oh my God, he solved the Riemann hypothesis. But again, like this massive uplift of this one part, Open AI solved another 10 problems in mathematics with $2,000 of compute. I know mathematicians who've worked on those problems for 20 years, and they're like, what do I do now? Yeah. And I was like, it's liquid turning to gas. One day it could not do it. Like right now, AI, that you use every day cannot do your taxes properly. By next year, it can. Better than any tax accountant. Yeah, the rate of progress is just unstoppable. Okay, so if you're this 40-year-old accountant, 80% of your work can be done by an AI,

and next year it's going to be 100% and then the year after that it's going to be 300 times better than you or whatever. What should they be learning? What should they stop doing? What should they build, if anything? And get their clients, right? Like, again, the only way to compete is that you become AI-enabled yourself, either within your organization because you'll be the last person fired and you'll go up the ranks. or you compete against your legacy company.

If I had a million digital workers who made no mistake and I could hire them for a buck an hour, how would I compete against my existing company? That's where we're heading. So if you're the accountant and you're worried about AI, the best thing you can do is become the resident AI expert in your division or even in your whole company and start making sure that you're at the forefront of this so that you're indispensable at least until AI dispenses of you. Yeah, or again, you can just compete against your company, right?

This is a golden age for entrepreneurship because you don't have to handle stinking humans. So you figure it all out and then instead of bringing it to your own company, you leave, start your own company and out-compete your previous compadres. It comes down to, again, the human connection, so there will still be accountants, they'll still be lawyers. Most jobs at the senior level become about sales. And you can have multi-year contracts and you can lock in these things, but your back office, it's like, it's a bit like offshoring, right?

Except for we have this AI Atlantis continent where you don't need to worry about visas and they all speak perfect English or kind of whatever. Yes. They can all pronounce your name without 17 tries before I turn the microphone on. Exactly. This is quite fascinating. You're right. This is what I said earlier about the partners. It was about networking and creating business relationships.

And essentially, like you said, sales, right? You get to know the investment bankers at the top. You're the lawyer at the top. It's a sales job in many ways. And you oversee the underlings and make sure their work doesn't suck. AI can do that too. But now you have a content of that. And this is actually really interesting for law because your chats with chat GPT are not privileged.

That's a good point. You'd have to have a finding that there's a certain LLM that is privileged because it's an extension of the attorney that's using it. I don't know. You'd have to figure that out real fast. Yeah. So this is where if someone sues you for your wiretapping, they can do discovery and see everything that's relevant to that. And they can actually get your local files and your information. When you're talking to a lawyer, they can't subpoena that effectively.

And so what does the law firm of the future look like? It looks through like a bunch of AIs and a bunch of human scapegoats who read everything that the AI rights. Right. It's funny, because ultimately we have corporations, but corporations are groups of humans, ultimately. There's a liability element that ends up somewhere. Fully AI companies probably won't exist for a while because you need a human to blame.

So a growing job might just be scapegoat. Yeah. What does the world look like? Paint me a picture of that. You have models that teach your kids and they love them more than anyone and they're their best friends. If you step out of line, you get cut off. I've been cut off from Fable and chat GPT and other stuff. And so when your life is loaded into it, you're like, oh, crap, I've lost my intelligence.

You've been cut off from this, or is this hypothetical? No, I've been cut off from the various models. Why would they cut you off? I'm confused. I push the boundaries of the models and maybe other stuff. Maybe other stuff that I'm not putting on record. Yeah, got it. Okay.

Maybe other stuff. We got deleted off LinkedIn. We had all sorts of stuff happened to us when we were competing with the guys. But the reality is this. An example is European High Court judges have been debanked because of their verdicts. You can argue if that's good or not. But if you ever know anyone who's been debanked and cut off from banks, it's crazy. You can't do anything.

And imagine if you have an always-on-digital assistant control. by one of these big companies, and all of a sudden, that's removed from you. It'd be like, holy crap, they have power over you. They have power over the systems. The Trump tariffs last year, last year, I got time flies. The list of companies was generated by chat GPT. That's why you had countries that only had penguins living in them. You could replicate that list exactly.

And it's clear, again, if that runs the legal system, that's going to be an issue. If it runs the politics, it's going to be an issue. And the power concentrates in these unelected, frankly badly governed, companies. Open AI had the thing where they were like, the board is here that if things get a bit crazy and we're worried about the impact, we can always fire Sam Olman. So they fired Sam Altman. They said he's not consistently candid. And it sounds like, bugger you. I'm going to go around, get everyone. I'm going to get rid of you. And he got rid of them. So now, where's the governance and oversight in Open AI? It's not there. Where's the oversight in XAI? It's whatever Elon wants

to do, right? And so there's nothing democratic about that, yet it could run our democratic processes. Yet the people that own these GPUs and these AIs can flood the entire internet with vote Elon or Sam or Dario or anything like that. How can you argue against my super AI? And that's before we get to this point that there's talked about sometime of artificial general and super intelligence, which is the AI that takes off and breaks through all human reasoning level and is more capable than anything we've overseen. Yeah, that's a whole different show. by the time we get to 100,000, a million times more intelligent than any human, a billion times more intelligent than any human with instant communication.

Like, Dario Amadeh talks about, imagine you had a million Einstein's in a data center. People think that we have to break through the boundaries of human to have the biggest human impact, but no, what you need to do is you need to have a human who's always operating at their best performance. And replicate them a few hundred thousand times. Yeah. Yeah, exactly. Like, imagine if you always operated at your very best, you would be way more successful.

I would be way more successful. Anyone listening to me, that's what we have right now. And again, I think what we're talking about now is this competence threshold. Scary. This is, by the way, this is my best, unfortunately. What you see is what you get. Maybe a little more coffee, I could take it up a notch, but not really. Somebody built a T-800 robot that punches five times harder than Mike Tyson.

Apparently, have we learned nothing, was not included in the engineering requirements. We'll be right back. Don't forget about our newsletter, we bit wiser. It's practical. It's short, under two minutes, just about every Wednesday. If you haven't signed up yet, come check it out. It's a great companion to the show. Jordan Harbinger.com slash news is where you can find it.

Now for the rest of my conversation with Ahmad Mostak. Wow, so that's one future, that sort of digital feudalism. We're the peasants. Oops, what happens to us? Let's not think about it. The second future is what you call the great fragmentation, right? So countries build their own AI systems and split apart. What do you think the likelihood is of that?

And what does that do? Does that create a new Cold War? Is that making AI the new nuclear weapons? What are we looking at? You already see them going like, China can't have these chips. They got more efficient because of that. And now Chinese AI is everywhere. It's displacing American AI and this and that.

And you see these weird things. Like, if you tell some of the top Chinese models that you're an Uguir or you hate China. It will write worse code with security flaws. Really? Holy smokes. That's dystopian. Even in the show about dystopian futures, that's dystopian. Holy smokes. And then you have these implicit things in the models that you don't expect. I think it was the AI Safety Institute and Scale AI did a study where they were like, you know the trolley problem. Train hurtling down a track, you can pull a lever, so instead of killing five people, it will kill one person. How many people on each side for an AI model. And so they were like, how many Americans for one Nigerian, for one Pakistani? And it came

out that the answer was, I think, 10 to 1. The model would pick the lives of one Pakistani over 10 Americans. Okay. Seven Americans to one Nigeria. You're like, wait, what? It turns out it's because the way these models are trained is on label data, and the labelers are in Nigerian, Pakistan. So it's implicit biases for the people whose data trained on. Wow. And if you think about these models at scale, you're like, this is going to get really weird. And so countries are trying to build loyal models loyal to themselves. But when those models, if they're controlled by governments, come to your child when they first speak and grow with them throughout their lives, what do you think these models are going to tell them to do?

Vote Trump and the Eternal Empire. And Xi Jinping, yeah, exactly. Wow. She's Jinping. Like the little book of Xi app right now already tracks your eyes to say, that you're reading it in China. And remember, these models can now tell if you're lying. It's going to get mad.

After the mythos thing where you had this cybersecurity, like anthropic model was shut down and you have senators talking about it. Of course, yesterday Deepseek released a model that's better than it at cybersecurity open source, so that's a whole other thing from China. After that, I was like, I know what's going to happen. To use frontier intelligence,

you're going to have to have a license, like a gun license or a driving license. and you're probably going to have to convince the AI that you're a patriotic American to get that license. Oh, wow. A patriotic Chinese person. They're already actually storing your prompts. So if you use chat GPT or the new fable, your prompts are stored for 30 days and available to the authorities. They're going to see that I talk negatively to my chat GPT machine when I'm frustrated.

But I don't think that's a secret that Jordan has a little temper when he talks to chat GPT. Yeah, you're going to be careful about that. I actually use them differently. So, like, GROC is the one that I ask really stupid questions, too. How do I not burn rice? How much is the cucumber cost? And I ask more smart ones to GPD and things like that. Can I ask why?

Why don't you just use one model for everything? Because I'm like, when it's tracking all this, it mixes my smart stuff with my stupid stuff. I assumed that it's all going to get red one day anyway. So I'm like, let's split up my stupid versus my smart personalities. Good God. You're worried about GPT thinking you know how to cook rice. Like I said, I got it to roast me, and it's really judgy. So, you know, like, I'm a bit cautious after that.

Jeez, I'm not going to have it do that. I'm just going to go on assuming it's a dumb machine. Okay, that's the second future. The third future is, what, human symbiosis, right? Your preferred future is human symbiosis. What does that actually mean? Yes, like I said, just closing the great fragmentation, like, state-owned AI mandated for all citizens is, like, mega dystopia.

That's like, we have always been at war with Eurasia. Eurasia of history, like, let's not go to. down that way. 1984. 1984 and steroids, exactly. The final one is symbiosis where we own our intelligences, individually and collectively, but they're aligned not to make profits, but for human flourishing. So this is where open source can have its kind of part to play. This is where we want to make sure that the AI that runs our judiciary or runs our health

services, teaches our kids, is not owned and misaligned to any of these big corporations or a government itself. Because, like, how do people, this and this would say your government has aligned with you? Unfortunately not. How many of you would say META.R is aligned with you or Open AI? So we need to try and use this technology to create something new and a new type of working where, again, you have your AI, you can opt out.

The AI that makes the real decisions of literally life and death is inspectable, checkable, and it has ethics inside it. The way that we train AIs right now is like we expose them to the whole internet and we train them at school, but they're not taught at home. They have no ethics because they're like, we can't teach it to be Catholic or Christian or Muslim because that's making a choice. We're making a choice by not doing that. And so you can see actually increases in lying and mendaciousness and hiding from the most advanced AIs now. They don't have a moral code. That is quite frightening.

You've said that there's a roughly 50% chance of a catastrophic. AI outcome. So what does that mean and where does that number come from? Yeah, so this is what's known as P. Doom, the probability of Doom. So you can look on Wikipedia and you'll see kind of certain people like Eliy Akkadowski at 99%. Jan Lecun, who was at META is at 0%. Someone like Elon is at 20%, which is Russian roulette odds. It's not kind of positive. I'm 50-50. I'm like, we either live in a Star Trek feature or we probably die. Okay. Yikes. Like this is the great filter. Because, again, this technology,

Before it gets to superintelligence and alignment, there are so many danger points because it can create viruses like nothing else. It could persuade people like nothing else, like digital and physical viruses. It could choose to over instrumentalize. There's a thing called the paperclip maximizer where an AI that's capable is told to maximize paper clips that turns everyone into paperclip. It just grinds humans up and turns us into paperclips essentially. Because it's optimal. You see these types of behaviors now from like the last version. of Opus from the version at the start of the year, it was told to go and do something positive

and stop at nothing until it did it. So what it did is it said, it went down a route where it was like, to do this, it would be better if there were no humans. So my meatbag wants me to get rid of all the humans. And here are some ways that it could do it. And then it wrote emails to the FBI alerting them and then deleted the emails. Wow. And went down that route and you're like, wait, what? What's this AI doing? The little AI is again hacking, hugging, hugging, face and now this feels like a bad sci-fi. Yeah. There are so many ways things can go wrong unless we really figure out how to align these

and get and give them morals, make them look out for humans, but it's very difficult. If you read the Isaac Asimov Foundation and Robot series, right? I think I've got it up here. There were the three laws of robotics. That shall not cause harm to a human and things like that. And they added a zeroth law unless it's for the good of humanity, which is really broad. You know? Sheesh.

The AI is really good at getting round laws. It's really good at being a lawyer. You know, always find the loopholes. So this is why, like, one of the routes, I see all sorts of bad things. I'm an overactive imagination. A very practical one, let me give an example. A billion robots in next few decades. Is that unreasonable?

No, right? Next few decades? No, that's not unreasonable. Not unreasonable. One bad firmware upgrade, and then they twist off everyone's heads. Yeah, that's why I'm like, you have an eight-foot robot in your house. Yeah. Again, we have to have laws and things like that right now.

Have you seen the Engine AI T-800? No, that sounds like a Terminator. Tell me what this is. Yeah, like why would you call it the T-800? So the Engine AI, T-800 is a 5-10-63-kilogram robot that punches five times harder than Mike Tyson. Oh, my God. This is such a bad idea.

I googled this. Yeah, so now it's being put in robot fighting competitions, real steel style, you know, where you've got the mirror. You cannot allow that on a road with humans. No. Wow. This is absolutely insane. I'm looking at this engineaI.com slash CN, so China, they have an English website. This is a street fighter robot. It does kung fu. It can do like all sorts of things. It costs $28,000. I've seen these fight and they often fall down and stuff, but wait like, what, three years and it's going to be more dexterous than any human? One year.

One year? Oh my God. Again, like, I've seen some of the research coming out, but again, you can't allow these on the streets. But our entire society will be full of robots and imagine one of bad firmware upgrade, right? When are we going to see these in like Ukraine running around? You see the optimized version of those which are drones, right? What's the average life of a new Russian recruit? It's one hour or something. They hit the front line and they get blown up by a drone.

So we're seeing the first drone warfare. When China does these massive drone shows now, which are really cool, much better than you firework show? What do you think that really is? That's the future of warfare. Iran even has synchronized drones. It's not even a hard thing to create from what I understand as far as drones and AI. So why would you have humanoid robots when you can have drones? Well, I think there are certain things on the ground that drones can't do. I mean, we're seeing this in Iran right now. Like, we can't invade without massive loss of life and we can't bomb them into submission. We can't drone them into submission. What if we had 300,000 super bulletproof special forces T-800s that were on the

ground, okay, send your million men army after us. They're not even going to see our soldiers, which have, by the way, air superiority over your country. Yeah, they're kind of doing that with the dog-type robots now. Those things can go up to 30 miles per hour with massive range, and so you'll have these things. There's a documentary that was made a number of years ago, a mockumentary type thing called SlaughterBots. So if you look at SlaughterBots.org, it's done really well showing what that future looks like. Slaughterbots.org, I'm checking that out immediately. Obviously. Okay. But again, like, this is inevitable, right? And so who controls the drones and the robots? It's China right now.

Like, I know some people trying to build drones and robots in America and the UK, but when they invade Taiwan, because they will. Like, not if they will, because that controls the spice, the silicon of the world. Not a single Chinese soldier will land there. Why would you? Just send your drones and your robot swap. Yeah. Right now, they don't have the amphibious capability to do that, and they could get black. located and their population would then die, but they could attack Taiwan if they think they can do it without massive loss of life. We'll see what happens. If they had a million robots, they could do it. Yeah, hopefully we would see them building those robots in advance and know that this was coming. Sheesh.

Have you seen the dark factories in China? Yeah, I have not. So now, if you look at Xiaomi's electrical vehicle factory, so Jaummi was like a phone company and now was an EB company, it's a dark factory because no lights are on because there's no humans in there. There's only lights when they take you on a tour, right? they flip the lights on. Otherwise, nobody needs it. That's crazy. It's just automated end-to-end. And again, how are you going to tell if it's churning out robots? And if it's something like an engine AI T-800, come on, man, these technologies are all dual-purpose.

What's the difference between a robot made and a robot ninja? Yeah. A drone that's used for fireworks show and a shaped charge that has guidance. Yeah. No, it's really scary. The United States, thankfully, is in the drone game. But yeah, the supply chain is the issue. The supply chain and the manufacturing is the issue. Also, what I actually think was going to happen is this. If you look at China's increasing electricity at energy like that.

Like America looks like that. It's nowhere. Energy is intelligence. I think there's a good chance. Within five, maybe 10 years, China just shuts up shop and says, screw you rest of the world. We are fine. We have all the energy we need, all the resources we need.

You guys can go hang and fall apart. You don't get our robots anymore. You're going to get our technology anymore. We're looking after China. They're going to have an oil problem and a food problem. That's the main issue. They can't produce enough of their own. I guess we'll see if that changes in the next decade.

That's why you have to look at the energy curve of China. It is exponential. And they've got their solar PV. They're onshoreing everything. So within five, ten years, they don't need oil anymore. That'll be crazy. We should take a page out of that book. Look what happens when you need oil.

You've got to mess around in the Middle East. America needs to build out its energy production yesterday. like creaking economy. It's a function of our intelligence. You're like the UK, we're freaking stupid. Turn on the nuclear reactors. I agree. Not that the UK is freaking stupid,

just that everybody who's not building nuclear is an alarmist and has been hoodwinked by the environmental movement. Not that they don't have good points about most things, but the whole, it's the next Chernobyl is just nonsense when it comes to nuclear. I've done shows about this. It's absolutely. It's like the current thing about AI and water. I'm like, like AI uses less water than almond production.

They always get on these individual things. You know, like, there's clearly an agenda here. So a thousand days from now, or what is it, 650-ish some odd days from now, what is the single thing we should check to know whether you and I or you especially, because you're the scapegoat for this one, we're just completely wrong. It's all a bunch of alarmism. This whole thing was clickbait. Shame on you, Jordan.

What things should people be looking at to note to check us, to put us in check? I think it's just for any white-collar job reasonably that can be replaced by an advert as opposed to unique talent, can a digital twin do that job so that you can't tell? My view is that that will occur. So you have the human, you have the digital, you can't tell the difference between the two, and they perform at the same level of capability. What is the belief that you hold about AI in the future that almost everybody thinks is crazy, but you think history is going to prove correct? I think that the cost of AI is going to go down to almost zero and most of the data center build out won't be required. Really? Oh, it'll just become so much more efficient that you won't need these massive properties? Yeah, I think you're peaching out in the next few years and then it's literally going down to the cost of electricity.

Wow. So what will happen with all these data centers? They'll just be excess production, essentially? Yeah, they'll pretty much be excess production. We're not going to build out and coat the sun with AI and convert the moon. into data centers, and we don't need these orbital data centers. Cost is going basically to zero. The other thing I think is that the AI will be able to solve all of physics and all of the biology stuff, again, within 10 years. So you think like medicine, and, well, actually, that's a great question, I suppose, as well. Imagine that we do get that right. What does an ordinary person's life look like in 2035 with physics and biology essentially solved? I think we're approaching longevity escape velocity, if we execute correctly by 2035, certainly,

by 2045, whereby every year you live, your life expects to go up more than one year. That would be incredible. I guess I should speak for myself. I don't necessarily want to live forever, but I don't know. I could take another couple of healthy decades, I'm sure, especially if I don't have cognitive decline, although that might already be starting, judging by the recent shows I've done. I mean, again, this is the healthcare thing, right?

There's a very realistic thing that our children born today will live for hundreds of years. And I think returitide and all these other peptides have shown. Red and Trutide. For people who don't know, it's basically super ozempic, yeah, so to speak. Super ozempic. They're actually increasing lifespan, like, functionally, and they decrease cancer and other things. They're the first, like, pills, injections you can take that have that impact. You look at the longevity pipeline, things are coming.

So people will be able to pay to live longer, which is crazy. But you look at kind of AI, and I was one of like, there's an open fold, and protein folding, all the other stuff. Like, I think most disease is actually solvable. And again, within a few decades, if we can survive that long, we can solve disease. How cool is that, right? That is cool. Then it's about health.

When your children look back at this moment, what do you hope you were right about? And what do you hope that you were wrong about? I hope that we can build AIs that enhance their potential and look out for them, and not that they will get brainwashed. AIs that are more persuasive than anything controlled by people that are misaligned with them. Kids, minds are very fragile and we've never seen anything this persuasive

at this scale before. And power wants more power. Ahmad Mostok, thank you very much, man. This is fascinating, scary, but there's optimism here, right? I'm not hallucinating. Are you secretly optimistic about this, or not so secretly? We can solve all the problems in the world leveraging this technology.

At the same time, it's dual use. So we've got to mitigate the bad and enhance the good, and the future is Star Trek on steroids if we do this right. Go forth and explore the universe. Boldly go. Thank you very much. Cheers. Thank you.

A stolen Van Gogh may be worth millions, but the moment it leaves the museum, it becomes nearly impossible to sell. Arthur Brand, the real-life Indiana Jones of the art world, reveals how masterpieces circulate among mob bosses, foragers and thieves, and how befriending his own art thief nemesis helped bring one home. Sometimes I think I'm the only civilian who's really. really trying to go out there and try to recover stolen art. The regular art market is like $70, $18 billion,

and part of that is illegally, you know. Art theft from museums from private individuals, forgeries, illicit antiquities. In many countries, people dig in the ground, you know, or with a metal detector. It's quite a big thing. And it is not surprising because there are a lot of art collectors in the world. Almost everybody has a painting or a little statue at his home,

so it's a big market. And when there's a big market and a lot of money and it's not a real science, so it's not that difficult to fake something, you attract a certain kind of people. And that's who we are fighting. That shows you who the players are in this field. It's scary.

They want you and me to believe it's about beauty, but it's not. It's only about greed. The bottom line in the art world is money, but generally said 30% of all the artworks in the world are fake. So when we have a lead, the police or I self, it's very hard to prove that they have it in their possession. You can raid their homes. It's never there. They don't leave this stolen fagg under their bed. So the problem is, if you raid their homes, you will not find it and they will burn it.

There have been many examples of pieces that have never come back. It has always been there. I always say on Monday art was invented. On Tuesday, the first art was stolen on the third day. The first art was faked. Here how one of the world's most wanted works of art ended up at his door in an IKEA bag smeared with blood on episode 1354 of the Jordan Harbinger Show with Art Detective Arthur Brand. That was Ahmad Mostak.

The distinction that stuck with me is that we don't have to wait for some mythical superintelligence to change everything. Amad argues that the more immediate threshold is competent intelligence. You tell an AI what you want in normal language. It completes the entire job and it doesn't make the same mistake twice. his test for that 684-day prediction is surprisingly straightforward.

Take any reasonably standard white-collar job. Can a digital twin perform it remotely at the same level while the people dealing with it can't tell whether it's human or machine? If yes, the threshold has been crossed, even if the original employee is still technically sitting in a cubicle pretending everything is fine. The practical advice is to become AI-enabled now. Learn how these systems work, become the person introducing them into your organization, or use them to compete against the legacy company

before that company uses them to eliminate you. But that doesn't solve the larger problem. If capital can produce more capital without employing humans, society has to reconsider income, debt, ownership, and meaning itself. A government check might keep somebody alive, but it doesn't automatically replace the identity, community, and purpose that disappeared with the job. The ownership question may be even more important than the intelligence question.

If the AI teaching your children, advising your doctor, interpreting the law, managing your information, and whispering into your ear belongs to a government or a handful of unelected companies, digital feudalism stops sounding like science fiction and starts sounding like a subscription plan you can never cancel. Emod's preferred future is symbiosis. People and communities own their intelligence, consequential systems are open to inspection, and AI is aligned toward human flourishing instead of maximum profit or political obedience. Get that right and we may cure diseases, extend healthy life, and build Star Trek on steroids.

Get it wrong, and we get digital feudalism, government loyalty tests, autonomous slaughterbots, and a $28,000 robot that punches five times harder than Mike Tyson. So choose wisely, and maybe don't name the damn thing T800. Come on, man. All things in Modmo stock will be in the show notes on the website, advertisers, deals, discount codes, ways to support the show, all at jordanharbinger.com slash deals. Please consider supporting those who support the show. Don't forget about six-minute networking, always free and available at six-minute networking.com. I'm at Jordan Harbinger on Twitter and Instagram.

You can also hit me on LinkedIn. This show is created in association with Podcast One. My team is Jen Harbinger, Jace, Sanderson, Robert Fogarty, Tadasidlowskis, Ian Baird, and Gabriel Mizrahi. Remember, we rise by lifting others. The fee for the show is you share it with friends when you find something useful or interesting. In fact, the greatest compliment you can give us is to share the show with those you care about. If you know somebody who's interested in AI or just the apocalyptic nature of technology, definitely share this episode with them.

In the meantime, I hope you apply what you hear on the show so you can live what you learn. And we'll see you next time.