AI Safety Expert: No One Is Ready for What's Coming in 2 Years | Roman Yampolskiy

20 Apr 2026 · 44 min · 23 chapters

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In short

Roman Yampolskiy (AI safety professor) argues AI control is unlikely, predicts rapid automation of cognitive labor and then physical labor, and warns that artificial general intelligence could become uncontrollable and existentially dangerous. He also discusses whether society will adapt, what jobs remain, and personal preparation (wealth, education, and agency). He briefly entertains “simulation” ideas.

Guest backgrounds

Roman Yampolskiy has spent 15 years studying AI control/safety and is an AI safety researcher. The host is a podcaster interviewing AI figures weekly; he references prior interviews with Priscilla Chan (Biohub) and Mustafa Suleiman.

Key claims

By ~2030, 99% of jobs could be gone (capability-wise, not necessarily deployed). Translation and junior programming are already being reduced; senior roles may last only briefly. Narrow AI tools are useful; AGI is not controllable and value alignment is ill-defined. Even regulation may fail because compute costs fall.

Notable examples

self-driving cars (capable in cities but not highways), ticket agents replaced by internet, co-op placement drops, “human + AI agents” outperforming layoffs, protein folding as a narrow tool, and “no such model” for strategic decision-making with taste.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

The Future of Jobs: Automation Predictions

0:45 to 2:55

Explore predictions about job automation and the impact of AI on various occupations.

“The technology will have to make it happen.”

Jobs at Risk: Translators and Junior Programmers

2:55 to 5:05

Discuss the vulnerability of jobs like translation and junior programming to automation.

“They've been in the program for a couple of years.”

Impact of AI on Labor and Industry

5:05 to 8:00

Analyze how AI affects cognitive and physical labor, and the future of industries.

“And if my competitor thinks the same, then it makes no sense to fire people right now.”

Opportunities in a Changing Economy

8:00 to 10:05

Examine the potential opportunities arising in a job market influenced by AI.

“Like, I can't imagine that in three years, there's no way to make money.”

Concerns Over Superintelligence

10:05 to 12:15

Delve into concerns about superintelligence and its implications for humanity.

“How many years do you give entrepreneurs?”

Ethics and Values in AI Development

12:15 to 14:01

Discuss the challenges of instilling ethical values in AI and potential consequences.

“But you're using word AI to mean completely different things.”

Ethical Dilemmas in AI Programming

14:01 to 16:40

Discusses the complexities of encoding ethical values in AI systems.

“Philosophers have spent millennia trying to agree on a set of ethical values.”

Narrow vs. General Intelligence in AI

16:41 to 18:35

Explores the challenges and dangers of creating general superintelligent AI versus narrow AI.

“create tools for solving real world problems, cure breast cancer, wonderful.”

The Economic Incentives Behind AI Development

18:36 to 21:38

Analyzes the competitive landscape of AI development and its implications for safety.

“If you're enjoying this episode and if you want to stay relevant in the era of AI or at least understand what's going on, please follow this channel.”

Public Perception and Political Responsibility

21:39 to 24:36

Examines how public opinion and political actions impact AI regulation and safety.

“we would suffer tremendously from a weapon of mutual assured destruction like nuclear weapon we would not deal with another mutually assured destruction coming from like a distraction intelligence.”
Show all 23 chapters

Investing in a Future with AI

24:37 to 26:44

Discusses investment strategies in the context of advancing AI technology.

“Okay, so in the US, I feel like 70 % of people have negative attitude towards AI, according to Edelman Trust Barometer.”

Future Job Landscape with AI

26:45 to 28:00

Speculates on the effect of AI on job creation and automation over the next five years.

“The investors, independent of what the membership fees are.”

The Future of Jobs in an AI World

28:00 to 29:50

Exploring the impact of AI on job automation and the creation of new roles.

“So for me, when I'm hearing this, super intelligence still seems very far away.”

Essential Human Jobs for the Future

29:50 to 31:30

Discussing the types of jobs that will remain relevant in an AI-driven world.

“If I don't care who does it, then it gets automated.”

The Shift in Education and Skills

31:30 to 33:00

Analyzing how the role of education is changing with AI advancements.

“You have to become somewhat recognizable before AI is better than you and you are competing now as a nobody with something better.”

Navigating Higher Education Costs

33:00 to 34:30

Debating the value of traditional college education in today's job market.

“Should I be saving for my kids' college?”

Agency and Decision-Making in Youth

34:30 to 36:20

Discussing the importance of agency and decision-making for young adults.

“Today, for$100 ,000, you have alternative ways of meeting your spouse, socializing, join a private club, join gym membership, go to a scientific conference, go to a TED talk.”

The Role of Independence in Education

36:20 to 37:50

Understanding how to foster independence in students amidst automation.

“Renaissance man, you just want liberal arts education, I think you can get it cheaper with less BS.”

Existential Risks and Human Survival

37:50 to 39:30

Examining the existential risks posed by AI and the necessity for human agency.

“So when it comes to education, I feel like we touched upon this topic.”

Probabilities of AI Scenarios

39:30 to 41:20

Speculating on various future scenarios involving AI's development and regulation.

“if we're not surviving, it doesn't matter.”

The Future of Software Development

41:20 to 42:00

Discussing whether traditional software development will survive in an AI-driven landscape.

“So I think in five years we'll definitely get to human level intelligence, but whatever the system decides to strike against us immediately or not is not obvious.”

The Impact of AI on Software Development

42:00 to 42:58

Explore the changing landscape of software development in the age of AI.

“do you feel like efforts like talking to local politicians are even going to help?”

Concerns About AI and Public Awareness

42:58 to 43:38

Discuss the societal concerns surrounding AI and the need for greater public awareness.

“Advice for everyone who's worried about their future.”
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Transcript

Automatic transcript. May contain errors.

0:00Roman Yampolskiy:Long term, all jobs can be automated. Question is, do we decide to automate the job or do we prefer a human being to do it? This is Roman Yampolskiy, an AI safety professor who spent 15 years studying one question. Can we control AI? I don't think we can. If we build them, there is nothing we can do. Artificial general intelligence means the system can do anything a human can do. So if we live in a world where that is true, let's say in two years, traditional paths to accumulate well, just having a job may not be available. But all these other opportunities will still have more time to... You made this prediction that by 2030, 99 % of jobs are going away.

0:48We're in 2026. How are we doing so far?

0:51Roman Yampolskiy:I'm doing great. I don't know about the rest of you. The prediction is about capabilities. The technology will have to make it happen. It doesn't mean we'll decide to actually do that. Deployment through economy is very different from having technological capability to do something. Today we have self-driving cars, but we also have millions of drivers. That's true. But I feel like with the self-driving, the technology is not yet there 100 % in terms of safety. Yes, it can do it within the city like San Francisco. It wants to go outside, like highways, they're still not sure. So when talking about, I have a lot of people who are watching who are maybe CPAs, managers, product managers, designers, and Anthropic released this.

1:33Have you seen the stats that AI is capable to do like 20 % of their jobs? There are still a lot of areas where AI is not capable. So according to you, how much can AI do now for a typical white collar worker?

1:47Roman Yampolskiy:So there is no typical one. And some occupations, basically, if you're a white collar worker, you're doing symbol manipulation on a computer. For some of them, it's gone. It's already so many jobs. You don't buy tickets from an agent anymore. That used to be a human job. Thousands of people sold. Yeah, but that's not it. That's internet. What about like AI? I'm saying technology can replace certain jobs completely. The more technology comes right now, I think things like translation, for example, I can fully automate translation for many languages. Are there some esoteric languages? Are there needs for political translators?

2:21Roman Yampolskiy:Maybe. But for many of those jobs, there is no future. I wouldn't suggest majoring in Spanish. Yeah, yeah. Translators done. Okay, who else? Junior programmers. We see huge reduction in need for people who are just graduating college or looking for a co-op, who need to basically be trained to, at some point in the future, be software engineers, system architects, right now all we know is c c plus plus that's not enough we have i think 28 drop in uh co-op placement for our department oh wow so you see it within your department already what do you tell them those people who are unable to find jobs unfortunately we don't tell them what they need to hear we tell them try to write in your cv try to you know learning additional skills but reality is by the time they graduate, those are usually first-year co-op students.

3:19Roman Yampolskiy:They've been in the program for a couple of years. By the time they graduate in another two years, it's going to be much worse. Well, if you could talk to them right now, someone comes to your student and says, you know, I've learned C++ for two years. I can't find a job. What do I do? So some of them decided they'll have more protection if they had hardware components. If they do engineering on top of computer science, electrical engineering, nanoengineering it would give them a little more protection for a couple years or a couple years it's all question of so we got cognitive labor automated and physical labor comes as soon as we get robots deployed so another three years you give three years till i have a robot in my household i think again there is a big difference between you can buy it today and it's commonplace so you can buy a flying car today yeah we don't see flying cars it's the same with humanoid robots You can buy one, it's expensive, but we'll scale production to millions of units in a couple of years.

4:15Wow, that actually gives me hope because I'm so tired of doing dishes and laundry and everything. Okay, translators done, junior programmers. It's interesting how junior programmers are done, but senior programmers are not. But being a junior programmer is a path to becoming someone senior. So how do they progress without having job experience?

4:38Roman Yampolskiy:That's exactly the problem we're facing. They don't have any future. And when we talk about seniors are fine right now, we're talking about very short term. Long term, all jobs can be automated. Question is, do we decide to automate the job or do we prefer a human being to do it? Who decides? Is it the company? Consumer. If I want a human podcaster to interview me, I'll come to you. If I want a robot, I'll go to a robot. is this when we see when you see layoffs like we're seeing metas about to lay off a lot of people uh we we saw jack dorsey's um message blogs but i think he's rehiring people but also i was just talking to gary v um he's a i think he has 700 people in his company he thinks it's really dumb to fire people right now just because and i see it in my operation too if 35 people can 2x my output then I just hire more to like 5x my output.

5:33And if my competitor thinks the same, then it makes no sense to fire people right now. Just because a human plus 10 AI agents is way better than not having that human.

5:46Roman Yampolskiy:And right now that's the case, that one human manages them and improves your productivity. But if you can replace that human with a model you get for 20 bucks a month, are you going to pay that human? The thing is there is no such model right now that makes strategic decisions has taste, understands me. We are not talking about today. Today is not interesting. You can look outside your window and see today. We want to know what's coming. And how fast, how soon is it coming? It's hyper-exponential. It's faster than we anticipated. Prediction markets had always happened around 2045. Then it collapsed.

6:17Roman Yampolskiy:Then it's what you said, 2030, 2028. Okay. So is that most of the jobs that you still feel like, for example, agriculture, when you look at Anthropics Report, agriculture is nowhere near being replaced with AI. When you say all the jobs, is it really all the jobs or just specific sectors? So I know nothing about agriculture. Okay. But if you have humanoid robots, that's physical labor. So that's the next wave. First, you have cognitive labor, anything you can do on a computer, any symbol manipulation. Yeah. That's where you're going to see it happen. As soon as we get to human level, I see no reason to pay a human if the results are the same and you can get drop-in employee essentially.

6:59A couple of years, you think?

7:01Roman Yampolskiy:It seems quite possible. Okay, I'll give you that. What difference does it make? So you're saying in five years all the jobs are gone. Yay, great, go to college for 10 years to become a doctor. No, that's exactly. If I know that we have three years, then my next question would be, do you think it's our last chance to build wealth for our families? If all the jobs are gone, We're not making money. And we end up in a world where, you know, that's it. You own that much stocks, you own that much cash because you can't make more cash. We don't know what happens to economy with free labor. The moment you have free labor, do you get abundance and everything is just available because it's so cheap to produce or something else happens?

7:40Roman Yampolskiy:We don't have any good studies on what happens to value of fiat currency with free labor. What happens to cryptocurrencies? is what happens to other investments so do stocks and non-ai companies go down do stocks and ai companies go up we don't have any understanding of that space so generally it's a good idea to have wealth and to have it early you'll still have more time to grow it but it may be the case that traditional paths to accumulate wealth just having a job may not be available But do you think our society wouldn't be as, like, it wouldn't adjust that fast to this new, like, governments, they wouldn't let this happen or humans.

8:25I don't know. Like, I can't imagine that in three years, there's no way to make money.

8:29Roman Yampolskiy:I didn't say that. I said traditional pathways where you get a job as a junior programmer may not be available to you. There are always opportunities. AI is a great assistant to start a company. Yeah. If you have a team, 35 people right now, I can have 35 agents working for me for free. A lawyer, an accountant, Lego designer, web designer. That's an opportunity we never had before. That's also true. But then I think what prevents an LLM from seeing a gap in the market, creating a business to fill that gap and making all the money for whoever made that model. Do you ever think about that? Models are not limited to whoever made them.

9:11Roman Yampolskiy:We all get access to open source models, typically a few months after the top model, private model is released. That's true. But also I've seen that I've heard this theory where, for example, if you're talking to a particular chat LLM, it collects all the data about your business. And then the goal for the owner of that model is to just identify those opportunities and take over them. Do you believe that? Luckily, the scale is very different. So if Sam Altman is trying to raise$6 trillion, dollars your mom and pop business is not exactly his target to overtake but if it's the whole market where a mom and pop businesses thrive i don't know like like car sales whatever like where he takes over the whole industry i think the bigger concern is automation of labor not that an evil human will use ai to steal your business process it may happen no doubt it happened before ai but i don't think And that's where the big damage will come from.

10:06How many years do you give entrepreneurs?

10:08Roman Yampolskiy:So there is two very different questions we should be talking about. One is kind of business as usual, economics, and are we trying to understand what works in new economy? The real problem, and that's kind of what I'm talking about in some of my research, is are we still around? Are we all dead? Is superintelligence going to take us out? I really, I can't imagine a world where we have, I don't know, one country, one company owning everything? Because that's when everything disappears, right? How does humanity disappear? I know AGI and it starts within one company. If one company reaches AGI earlier than other companies, then it takes over the whole world.

10:46How do I utilize the years that I have left then?

10:50Roman Yampolskiy:I think it's a good idea to do things which you always postpone. So a lot of people kind of think, I'll retire in 50 years and that's when I'm going to really live my life, have fun and all that. and sometimes it doesn't work out. Sometimes they have cancer at 40. So try to do things you like sooner and not do things you don't care about at all. When it comes to a career, right? For a lot of people, careers... This is interesting, right? So some people, like this is my hobby, right? I love that it pays the bills, but also I would do it anyway. I would find something else, but I would just still have these conversations.

11:28Isn't that amazing? If labor is free, then anyone can just do their hobby. For some people it's gardening, for some people it's having kids and just spending time with their kids. From what I've experienced so far, like my life has become easier just because there are so many decisions I don't want to be making, like choosing your insurance or thinking about how to optimize taxes or whatever, immigration. Now AI solves it for me. I stopped missing days when my kids have to wear pajamas at school because they would always send us these long emails Now I just ask Gemini to put everything in my calendar.

12:03So I wake up in the morning, I know it's Pajama Day today. I used to forget a little. So now my life's getting easier. And if I could do this podcast and, you know, it's cheaper for me to have my team or whatever, like, isn't that a great world?

12:17Roman Yampolskiy:Right. But you're using word AI to mean completely different things. You're referring to narrow tools you're using right now to summarize your email. And you're also kind of using it as future super intelligence, smarter than all of us combined. Not the same technology. AI tools, narrow AI is awesome. I use it all the time. We should have more of it. We can use it to solve real problems like Jamaday. But if we create general superintelligence, we don't understand it. We cannot predict it. We cannot control it. It has capability of wiping out humanity. Can you talk about how do we create? Is that AGI?

12:50Is that the same?

12:51Roman Yampolskiy:AGI is a precursor. So AGI is basically automation of human cognitive labor. It's a scientist. It's an engineer. then artificial scientists and engineers start doing AI research, very quickly progress goes hyper-exponential. We have systems not just smarter than any human in any domain, but smarter than all of us in all domains. Think someone with IQ of a million. We have no concept for that. We're like, oh, Einstein was 200. Many standard deviations away from the norm. So the cognitive gap is something like humans versus squirrels. Squirrels have no concept of what we're doing, how we can harm them, traps, poisons, none of it makes sense to them.

13:32Roman Yampolskiy:That would be very similar. We'd have systems capable of doing novel science, discovering novel physics. And if for whatever reason they decide to take us out, I don't know what the reason could be. It could be to protect them from creation of competing super intelligence. It could be to lower temperature of a planet, to improve compute. It would be something I cannot even think about. But if they decide to do that, we cannot stop it. Can we instill the right values into AI? If you have a book of right values, you would be doing really well. We don't. Philosophers have spent millennia trying to agree on a set of ethical values.

14:09Roman Yampolskiy:We don't. We disagree by religion, by region, by basically time in the history of humanity. What was ethical 100 years ago is considered completely unacceptable. today what we believe is ethical today likewise will be unacceptable in the future if we somehow manage to agree on static ethics not dynamically changing but static we have 8 billion agents who don't agree on much and then if we manage to agree and keep it static we don't know how to code it up because we don't program ai models they are self-learning from data we supply but if we supply data, this is your personal constitution, right?

14:49You don't kill humans, you work for humans, you work for...

14:53Roman Yampolskiy:So this is science fiction, Azik Asimov, Three Laws of Robotics. And he wrote that exactly to demonstrate that it will never work, it will always fail, it creates interesting science fiction. But if you have a super intelligent lawyer, you're not going to fool them. Every one of those terms is self-contradictory, it's ill-defined. What does it mean not to harm a human? Is the system fighting you eating a donut because it's unhealthy? Is the system banning abortion? It's not obvious what you encode in that meaning. So people often say, do good, don't do bad. Great, but now define what that means in C++.

15:29Well, I feel like if it's super intelligent, it will be able to.

15:32Roman Yampolskiy:It's a very common misconception. People think if something is smart, it's also good, and it has common sense. But common sense is not common. Human common sense is not common. What is obviously true in one culture is horrible crime in another. If I say to a system, I don't want any cancer in this world. Cancer is bad. One solution is to kill all humans. It accomplishes the goal. But then it's against the constitution. Like we don't kill, we try to prolong lives. And the worst dictatorships in the world all had constitutions which were beautiful. If a human dictator can find a way to bypass any regulation, a super intelligent lawyer with no way for us to punish it, it's immortal.

16:17Roman Yampolskiy:It has no body to put in prison. It's smarter than you. You can turn it off. It's not an option. It has backups. So I don't think in any adversarial relationship we would be competitive. We would lose. So the only way to not lose is not to play the game. We can benefit from creating narrow systems, very practical advice for your audience, create tools for solving real world problems, cure breast cancer, wonderful. But if you create general super intelligence, which is right now goal of many corporations, we're all going to regret it. How do you create something that cures cancer without creating this general intelligence?

17:00Because as far as I understand, and I interviewed Priscilla Chan, who has Biohub, and they're trying to map the cell. And so far, even with AI tools, I think they're only able to map like 1 % of cell because there's so much going on. I feel like you need the most intelligent system to go that deep. Is it even possible to create something that only works in a cell but doesn't understand the world?

17:22Roman Yampolskiy:The hope is it's possible we have some precedence. So protein folding problem was a major problem in science, very important for curing diseases, understanding human genome, and it was sold with a system which was dedicated to that problem. It was trained on relevant data. It wasn't trained in all of internet. It's at the same time not a chess player, not a politician, not a poker player. It has one task and one type of data. If you make it super capable, eventually there is a fuzzy boundary between a tool and an agent. So long term, it could still be dangerous, and combination of tools can be dangerous, But it's definitely much easier for us to understand and control something narrow domain versus something completely general with full set of capabilities.

18:05But a company like, again, protein folding is DeepMind and DeepMind, I guess, is working on super intelligence, right? Same people. I feel like it's impossible to stop this.

18:16Roman Yampolskiy:I don't disagree with you. So for anyone who's watching, who's concerned about this, is there anything they can do? because from what I'm hearing, okay, someone's going to reach the super intelligence. I just trust them. I hope. Well, like, I mean, what can I do? If you're enjoying this episode and if you want to stay relevant in the era of AI or at least understand what's going on, please follow this channel. I sit down with the most amazing guests every single week to learn about AI. And the thing is, when I sit down with people like Roman, I do care if it goes live, but also like having these conversations is really important for my mental health to understand what's going on, to be prepared, because I like to stay in control, right?

19:02And at least be able to do something with this information. So if you're like me and you want to tune in, please do not forget to subscribe to this channel.

19:11Roman Yampolskiy:So that's a common assumption people make. They think that people working on this technology understand what they are doing. They have no idea. They publicly say it. They don't understand how the system works. They cannot predict it. They cannot fully control it. The best they can do is put some filters in place. Don't talk about this topic. Don't say that word. So depending on who the member of your audience is, maybe there is nothing they can do. If there's someone in positions of leadership, political or in a company, they can make those decisions, what to build, what not to build. I just wonder, because again, if we take those large companies, they work for shareholders.

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19:48They're all competing with each other. the only way to win is to reach super intelligence, right? Because there's no other way to win this game.

19:55Roman Yampolskiy:Well, you can make a lot of money curing real problems in the real world. You don't have to create super intelligence to get most of economic benefit. It feels like once you reach super intelligence, you're able to build businesses, you're able to cure cancer, and just solve every problem in the world. Except controlling it. Except controlling it. It seems like a big problem. No amount of money is a good investment if you're going to be dead. Have you ever, like, have you seen a leader of those companies or similar companies who are committed to doing what you're describing? So they all on record, even before they became CEOs of those companies, are saying AI safety is very important.

20:37Roman Yampolskiy:This is very dangerous and likely to kill us. more recently many of them have indicated that if others stop they would stop so i think ceo made a statement exactly that i think china versus us likewise china said we are interested in doing it right the communist party doesn't want to lose power so they would be open to slowing down if us did but nobody nobody's doing that they're just saying that we are still alive we should try we cannot give up it feels like we need to have a nuclear level accident for people to actually start paying attention we considered that unfortunately people don't learn from those we had nuclear war we had nuclear bombs dumped and we continued developing nuclear weapons and spreading them to new countries but at least we haven't used them sense and that so far at that scale so give it some time hopefully hopefully not sadly really sadly something like that would reduce our technological capabilities for a while so while we would suffer tremendously from a weapon of mutual assured destruction like nuclear weapon we would not deal with another mutually assured destruction coming from like a distraction intelligence.

21:55What is your personal view on the next five years? What do you think is going to happen?

21:59Roman Yampolskiy:More of what we see, automation of more and more capabilities, and very likely we'll fully cross the human intelligence barrier. We'll have systems smarter than smartest humans. How do you prepare for that? You always ask questions, assuming there is an answer. Some things are impossible to do. If you ask me how to build perpetual motion device, i would not say i need more funding or more time i would say it is impossible to do so if you ask me how do we control super intelligent machines i don't think we can if we build them there is nothing you can do if we made a smart decision against financial incentives not to build it to benefit from narrow tools then how do i learn more about those tools how do i deploy them those of great questions.

22:48Since you know, like you, you know, the worst case scenario, right? And you know, it's very, very possible. You're basically going podcasts and talking about this problem, right? To raise more awareness, but someone who doesn't have an ability to go and just talk about it, what can they do? Stop using those tools, stop buying stocks of those companies. Like, what is a practical thing?

23:10Roman Yampolskiy:So if you have a chance to vote for a politician who is on board with limits and we're starting to see those. It's so like I don't really see politicians talking about this. What I see is like don't regulate AI. Let's just let companies figure it out. So federal government is exactly like that. Right now they removed all previous regulations. They made it through executive order illegal for all 50 states to regulate AI. But we have certain senators, certain congresspeople now waking up to at least some of those problems. They may not fully comprehend long term game, but they are going, oh, deep fakes are bad.

23:43Roman Yampolskiy:or maybe the large data centers will use too much energy. It doesn't matter what they are concerned about. They're sort of directionally correct. So they are suggesting limits. They are suggesting some regulation. It's true for other countries. I testified to UK Parliament. I testified to Kentucky legislation. There are people who are willing to listen, but it needs to be a lot of support from people where politicians can sort of come out of the closet and say, I'm worried about superintelligence. I want to make sure we pass the right legislation. It's just, I feel like even on a personal level, it's so hard.

24:16I'm just imagining like, okay, you're going voting for this politician who's pausing whatever super intelligence, but then you have someone in your family who has cancer and you know that if this progresses, then your family member might survive for a couple of years. And as humans, we tend to prioritize short-term gains over long-term threats. How do you see this possible? Okay, so in the US, I feel like 70 % of people have negative attitude towards AI, according to Edelman Trust Barometer. But in countries like China, I feel like 80 % are pro-AI. How do you see this? Because it feels to me that people who are going to be voting for those politicians are still going to be a minority.

24:59Roman Yampolskiy:So you said long-term versus short-term. Short-term gains versus long-term. I understand. And historically, you would be right. It's 20 years away, 30 years away, and this is now. Cancer is measured by five-year survival rate. We are saying AGI is coming in two to five. So there is no time difference. Your cancer relative is going to be dealing with one of those outcomes no matter what. I feel like for people, it's so much easier to understand cancer because we already saw it. We haven't seen AGI yet and we don't understand it. And we still think, again, even with AI, like you've seen these graphs where only 1 % of people really use it to optimize things.

25:3899 % of people have no idea. Or like 90 % haven't used it. 10 % used it for search. It's just so hard to imagine that in two years or like five years, it's going to be a human threat. And do you think people who are building it won't be able to control it?

25:54Roman Yampolskiy:They have nothing. There is no patents, no papers, no algorithms which can possibly scale. They're literally telling us we'll figure it out and we get there. Okay. As a mom, off to. If you're saying that, okay, I'm talking about this, you know, I don't know any politicians who are talking about this. But anyways, when it comes to our day-to-day life, if we're all facing a future we can't really predict, what is the best thing to do now? Enjoy life? It's always a good advice. If I'm completely wrong, you're going to regret having an awesome time. Okay, that actually makes me feel better. What about using AI?

26:38Do you feel like by using AI, we're helping that progress?

26:41Roman Yampolskiy:We do, but unless all of us stop, it doesn't matter. You alone will not financially impact development. The investors, independent of what the membership fees are. I think OpenAI is making like, I don't know, 13 billion, but investments are in a trillion. So it's just not a significant source of... What should people be investing in? I've heard you say invest in Bitcoin because it has a finite supply. Would you say investing in stocks, gold? Invest in something AI cannot make more of. So if AI can just produce more of it, that's probably going to go down and down. Well, gold... Gold is a wonderful example, yeah.

27:20Roman Yampolskiy:There is limited supply of it, but it's not so limited that if a price goes up, we cannot produce more of it. Some of the gold is mineable, but it costs a lot more than current price per ounce. So let's say right now we're at, I don't know,$4 ,500 or whatever it is. If price of gold was a million, we can get a lot more gold at that price point. Whereas Bitcoin, it doesn't matter what the price is. It's exactly the same supply. What about real estate? It seems like we're not very good at making more waterfronts. Countries like United Arab Emirates with Dubai definitely tried. I think Qatar has some good examples of artificial islands, but it's very limited.

27:58Roman Yampolskiy:So I think long term, having a place to be and limited ability to produce more could be a good investment. It's just the way that I see it. So for me, when I'm hearing this, super intelligence still seems very far away. But what I actually can feel is automation of this white collar labor. And it looks like, I think, in five years, yes, we're going to have more automated jobs. But again, when I'm talking to people like Mustafa Suleiman, right, he says AI is going to produce more jobs than it takes away. I just talked to LinkedIn CEO and they saw 1.2 million new jobs because of AI, because you require a new skill set.

28:40Yes, some jobs are going away, but I don't know. I just can't believe a future where is that drastic.

28:47Roman Yampolskiy:Let's just go with definition. So then we say we'll create artificial general intelligence. What are we saying? We're saying we'll have a system capable of doing what a human can do. But we still haven't, like we have automated some tasks, but are we even able to create that? So it's a very different question. Are you arguing that it's impossible to ever get software to human level performance? It seems very unlikely. Some people have argued it, usually from some sort of religious perspective. We have an immortal soul, nothing material can automate that. but it seems in many domains we started with not knowing how to do it got to reasonable performance got to human level and now in most domains it's super intelligent so a human will never win a game of chess against a computer again same happens in artificial general intelligence means the system can do anything a human can do so if we live in a world where that is true let's say in two years, five years, whatever number makes you happy, what jobs will be there?

29:50Roman Yampolskiy:Jobs where I choose to hire a human. Yeah. But that's it. If I don't care who does it, then it gets automated. So basically the plan is then within the next few months, identify those jobs, right? And for me, it's definitely a nanny, right? I don't want a robot. Well, my husband's like, a robot is even more for size if it teaches your kids how to swim. So my husband's like, like closer to what you're thinking. Can you name, let's say five jobs that are still going to be relevant? Oldest profession. Must be the last one too. I don't know. I've heard a lot of people say how it's getting robotized.

30:34Roman Yampolskiy:It is. And there's going to be a huge market for it, just like we see with virtual stimuli. But I think humans will always have a certain weak spot for human females. Okay, I don't think my target audience really wants to switch to that job. Can you give me four more? Anything similar where a human is a sensei, a guide, a leader, someone who is personally a trainer for you becoming a human like that. So nannies? So again, your yoga teacher, your, I don't know, hiking guru, So whatever meditation expert, experts in what it's like to be human in certain domains where it's not so much about algorithmic following of steps, but an experience maybe.

31:21Do you think for people who are starting their personal brands now, there's still opportunity or that it's already done?

31:27Roman Yampolskiy:There is, but you have to do it pretty quickly. You have to become somewhat recognizable before AI is better than you and you are competing now as a nobody with something better. And that gives you how long? Again, as soon as we switch to human level or above. So I don't know how long it's going to take in practice. I've seen people say 2027, 2028, 2030. All of those numbers have been suggested by people who are not insane. So would you say if you have goals right now within your certain job that you think is going to be automated, you need to be running as fast as you can right now to reach those goals?

32:06Roman Yampolskiy:or just chill just because whatever it is in five years we're all gone ideally it's like what you did where you combine your hobby with something financially lucrative that's the best if you can get paid for doing what you like and it benefits society that's the concept behind ikigai Japanese concept you try to combine those we call it i-risks, ikigai risks where that meaning is taken from you by AI so you want to kind of grandfather yourself in as a famous podcaster. How do you think about your career as a researcher? Is it done or you still have a couple more years? So it seems right now the writing of code is pretty much automatable.

32:49Roman Yampolskiy:Still top humans in machine learning are designing new architectures, new systems. So a few more years than that. But I wouldn't recommend someone spend 10 years at the university to become a professor today. I don't think they have future. What about higher education in general? Should I be saving for my kids' college? It's always been a bad idea. Really? It's not worth it. So half the majors were dead-end majors. They never got jobs in the major they got. And the ones which were like for specific tasks, like programming and such, you could have gotten a certificate online in six months and get the job in Silicon Valley making more than your professor.

33:29But don't you think it teaches you how to think? So for me, like I started my university when I was 17. I had no idea who I wanted to. Actually, I wanted to become a translator. I love languages. I'm like, I want to be a translator. My parents were like, no, no, no, you're going to go study mathematics. I'm glad they told me that because I was able to both. And for me, those five years were about meeting my husband, starting a business because I saw an opportunity being among those students. And so I feel like when it comes to education, it's really not about learning the skill because yeah, I studied mathematics.

33:59did i use it in my business not really but it taught me how to think it taught me how to interact with professors which is certain skill that you need um it taught me how to learn and how to be among students do you feel this is going to lose value in 10 years or it's going to be different

34:17Roman Yampolskiy:form then i don't know how long you went to college but i'm sure you didn't pay 100 000 a year this is what they're charging now in some universities so historically it made sense You went to socialize, you went to kind of mature, grow up. Today, for$100 ,000, you have alternative ways of meeting your spouse, socializing, join a private club, join gym membership, go to a scientific conference, go to a TED talk. You'll accomplish all those things without spending five years and half a million dollars. When you say that, I feel like people, to do that, you need agency. You need to be able to tell yourself, this is my plan and stick to the plan.

34:58For a 17-year-old, it's so much easier to just be put into an institution for four years that tells you what to do. And sometimes it doesn't have to cost like 100 ,000. Like if you're doing PhD, it's sponsored for you, right?

35:11Roman Yampolskiy:You usually don't start with PhD. You still need to pay for four years. But then you can, I don't know, you can, I studied in Germany. I got the scholarship that paid for my studies, which was great. So I don't know. Like I've heard from you. I've heard from Mustafa Suleiman. Colleges don't make sense. I'm still, I started the 529 accounts for my daughters because I feel like, I don't know. It's just, yes, it's not a must, but it's such a great opportunity to go and start it for four years. So I meet a lot of students and here's what I hear a lot lately. I went to college for four years to learn this trade.

35:49Roman Yampolskiy:I paid a lot of money. I wasted four years of my life not doing fun things I wanted. I now graduate and there is no job waiting for me. My job has been automated. What should I do? And at this point, I want to tell them, go back in time for years and not get that degree. You wasted it. And ask today, again, let's set aside the existential problems. What will be the case in four years, five years, six years when you graduate in the market? Will this job exist? if you're not doing it for training, you're not doing it for a job, you want to become a Renaissance man, you just want liberal arts education, I think you can get it cheaper with less BS.

36:32Yeah, but this, I don't feel like a lot of people have agency. Like, I don't, I'm not sure about my daughters. If they, if I tell them like, hey, I give you this money that I saved for college and you go do whatever. I'm not sure a 17 year old will make a good decision. Like I wanted to be a translator again, like going back to me being 17. I want to be a singer, a translator. Like I'm so glad my parents told me you're going to study mathematics.

36:55Roman Yampolskiy:What are you telling your kids? I don't know. So the examples you give, you're saying this 17 year old, you cannot trust him to make a good decision. Yeah. We're telling them go take a loan, borrow half a million dollars and see if you can graduate with this, that degree. Let's talk about where it's cheaper. If they wanted to start a company, we wouldn't give them a loan. So are your kids going to college or not? My oldest is 17, so he's going to decide next year. What are you telling him? He is lucky in that his both parents are professors, so he'll get it for free. And free makes it a much sweeter deal.

37:30So free education is fine. So if somebody gets a scholarship to do their bachelor's, you'll tell them go in.

37:35Roman Yampolskiy:It's a much easier investment, right? Well, it's your time still. Four years. You could have been doing something else. Right. And that's the question. What is the alternative? If you want to start a company, if you want to do something else, I'll support you more in that direction. But if you just want to be a doctor, go ahead. Fine. So when it comes to education, I feel like we touched upon this topic. Agency is so important and knowing what you will be doing and how you'll be doing. How does one work on agency? How do you prevent AI from making decisions for you? So it's interesting that you realize this important distinction, tools versus agents.

38:13Roman Yampolskiy:That's the game changer. And we are about to create AI agents, which will be doing it for us. But then we ask, well, how do we make humans who are independent agents? It helps to have good examples. So your daughters may look at you and see your mom is doing all that cool stuff. Maybe they learn by example, but it's not guaranteed. Some of it may be biological. You're just not predisposed to this type of activities. Are you teaching your kids that? I always taught them to be very independent and make their own decisions. My job was to make sure they're safe, safety and security. But anything else, they make their own money, they decide how to spend it, how to invest it, everything.

38:57How early did you start with that, like make money, spend it? Three years old, two years old. I don't know. Do you want money? So basically go and ask your kids to start a business, right?

39:06Roman Yampolskiy:Absolutely. Make them sell popcorn, lemonade, whatever. Whatever they can figure out, yeah. Yeah, I feel like that's one of the qualities when all the jobs are taken away, right? This is something that will help us survive and find the ikigai. I think so. But again, I think ikigai meaning economic problems are all kind of second level in comparison to existential risks. if we're not surviving, it doesn't matter. We need to figure out how to make sure humans are primary, we are not replaced, we are not automated away, and we control our destiny. Can you give me probabilities? Like in five years, one scenario, super intelligence, uncontrollable, the world is ending or whatever.

39:53In five years, second scenario, we unionized, We protected a lot of jobs like teachers, doctors, because we still feel they are needed as humans, not as robots. And countries still can't agree how we're going to regulate this. And we're still like in a pretty normal world. Give me probabilities.

40:14Roman Yampolskiy:So I think we'll gradually go towards that human level super intelligent point. And as we walk towards it, more and more jobs will be automated. And maybe we'll have protections for certain human jobs. I think New York State was about to suggest legislation to make it illegal for LLMs to talk about any licensed professions. So no psychiatry, no law, no CPAs, nothing like that. I don't know if it's going to pass. It's New York State. It's going to pass. And then you just use a Chinese LLM. Like, I don't see this. Exactly. But here's the problem. Even if we agree not to build it right now, right now we can regulate it because it's very expensive.

40:53Roman Yampolskiy:Those projects are like Manhattan Project. They are noticeable. You see the electricity use, you see compute use. Problem is every year it gets cheaper and cheaper to train very powerful models. So if today you need a trillion dollars, next year it's a billion, at some point you can do it on a laptop. And at that point you can't stop all the psychopaths in the world who will try to do it. So eventually we're going to have this technology developed. So eventually scenario number one, but in five years, what's the probability of scenario number one? So I think in five years we'll definitely get to human level intelligence, but whatever the system decides to strike against us immediately or not is not obvious.

41:36Roman Yampolskiy:Game theoretically, it has no pressure to strike right away. It can accumulate more resources, make more backups, allow us to surrender more control because we trust it. It's immortal. It can wait 10 years, 50 years, thousand years and just take over by being friendly. Yeah. So that's an option. Interesting. If it's immortal and it has all the time in the world, do you feel like efforts like talking to local politicians are even going to help? We need more time no matter what. It's a good thing to have more time for this problem. Maybe we'll find some different architectures. Maybe we'll just get to enjoy more time.

42:16For everyone who's building right now, do you think software is dead? For example, if I'm building an app and if I can just Vibe code the same app, wouldn't everyone be just talking to their LLM, whatever they prefer to just build them an app or help them solve the problems?

42:30Roman Yampolskiy:If you're already big and famous, you're kind of locked in. We saw it with social media. I mean, to write code to do something like what Twitter does is trivial, but people end up buying it for 40 billion instead of just coding it up. Because what you have is the network, you have people, all the relationship that you cannot automate. So if I'm first mover in that space and I have an app which does something no one has done before, it doesn't matter how many clones I'm going to get in the same market, they're not going to take over. Advice for everyone who's worried about their future. You're not worried enough.

43:01Roman Yampolskiy:If you were worried enough and fully understand the problem, we would have people in the streets protesting and more than 100 people we had last week in San Francisco. You're like my husband. We just were in New York and we were talking to the founder of Duolingo. And he's like, no, no, no. People are still going to. And a lot of people in New York are like, no, no, it's fine. It's like, they just don't understand. And they're like, oh, you live in a bubble. It's like, no, we're not. And the last one, are we in a simulation? And if yes, who's behind it? We're in a simulation simulators. Who are they?

43:34Roman Yampolskiy:We don't know from inside. You have to escape from the simulation to find out. That's the ultimate scientific question. What is outside the simulation? Wow, I feel like that's a topic for another podcast. Thank you so much, Roman. If you enjoyed this episode, there's actually another person I really want you to listen to. I did an episode with Mustafa Suleiman, who is also a philosopher. So he's kind of similar to Roman. We talked a lot about the future. He's much more positive, but he has the same take on education. Don't save for a kid's college. So thank you so much for tuning into this episode.

44:05And now tune in and listen to Mustafa. Thank you.

From the publisher

Roman Yampolskiy has spent 15 years at the University of Louisville studying one question: can we control AI? His answer is no. And in 2026, the early evidence is showing up inside his own department — a 28% drop in co-op placements for CS students. Prediction markets for AGI have collapsed from 2045 down to 2028–2030. So I asked him the question everyone actually wants answered: if 99% of jobs really do get automated, which ones survive? He named five — and they're not the ones you'd expect. 


We also cover: 

— What to invest in when AI can replace most human labor

— Why he told his own 17-year-old to think twice about college 

— How to raise kids with agency in a world that automates thinking 

— And the answer he gave when I asked if we're living in a simulation If you've been using "AI" and "superintelligence" as the same word, this conversation will fix that. 


Topics: AI safety, Roman Yampolskiy, AGI 2030, jobs AI can't replace, future of work, AI superintelligence, investing in AI era, simulation theory, career advice 2026, AI risk


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