Co-founder and CEO of Anthropic; previously VP of research at OpenAI.
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Powerful AI, a country of geniuses in a datacentre, is likely within ten years, and the world has not noticed
Their wordson the basic hypothesis of you know, as you put it, within 10 years we'll get to, you know, you know, what I call kind of country of geniuses in a data center. I'm at like 90% on that. Um and it's hard to go much higher than 90% cuz the world is so unpredictable.
Their wordson the basic hypothesis of you know, as you put it, within 10 years we'll get to, you know, you know, what I call kind of country of geniuses in a data center. I'm at like 90% on that. Um and it's hard to go much higher than 90% cuz the world is so unpredictable.
Their wordsI will tell you though what the most surprising thing has been. The most surprising thing has been the lack of public recognition of how close we are to the end of the exponential.
Their wordsOne is at every moment of this exponential, the extent to which the world outside it didn't understand it. This is This is a bias that's often present in history where anything that actually happened looks inevitable in retrospect.
Their wordsHere we show that scaling up language models greatly improves task-agnostic, few-shot performance, sometimes even reaching competitiveness with prior state-of-the-art fine-tuning approaches.
Their wordsIn fact, I would point to the history in in ML of people coming up with things that are barriers that end up kind of dissolving within the big blob of compute, right?
Their wordsThere's There's nothing preventing longer context from working. You just have to train at longer context and then learn to to serve them at inference. And both of those are engineering problems that we are working on and that I would assume others are working on as well.
Their wordsI think the trillions of dollars a year market, maybe all of the national security implications and the safety implications that I wrote about in adolescence of technology can happen without it, but I I I also think we, and I imagine others, are working on it. And I think there's a good chance that that, you know, that we get there within the next year or two.
Dario AmodeiCo-founder and CEO of Anthropicthe goal is not to teach the model every possible skill within RL just as we don't do that within pre-training, right? Within pre-training, we're not trying to expose the model to, you know, every every possible you know, way that words could be put together, right? You know, we're it's it's rather that the model trains on a lot of things and then and then it reaches generalization across pre-training, right?↗Dario Amodei — “We are near the end of the exponential”youtube.com · 13 Feb 2026 · 0:11:20 into the videoAll korrents from this video
Their wordsthe goal is not to teach the model every possible skill within RL just as we don't do that within pre-training, right? Within pre-training, we're not trying to expose the model to, you know, every every possible you know, way that words could be put together, right? You know, we're it's it's rather that the model trains on a lot of things and then and then it reaches generalization across pre-training, right?
Their wordsTo summarize the above, my basic prediction is that AI-enabled biology and medicine will allow us to compress the progress that human biologists would have achieved over the next 50-100 years into 5-10 years.
Dario AmodeiCo-founder and CEO of AnthropicUnfortunately, I see no strong reason to believe AI will preferentially or structurally advance democracy and peace, in the same way that I think it will structurally advance human health and alleviate poverty.↗Machines of Loving Grace (October 2024)darioamodei.com · 1 Oct 2024
Their wordsUnfortunately, I see no strong reason to believe AI will preferentially or structurally advance democracy and peace, in the same way that I think it will structurally advance human health and alleviate poverty.
Their wordsWhat I would say is that you know we are we are about to be in a world where growth and economic value will come very easily. If right if we're able to build these powerful AI models, growth and economic value will come very easily. What will not come easily is distribution of benefits, distribution of wealth, political freedom, um you know, these are the things that are going to be hard to achieve.
Their wordsa worry I have is that the growth rate could be like 50% in Silicon Valley and, you know, parts of the world that are kind of socially connected to Silicon Valley and, you know, not that much faster than its current pace elsewhere. And I think that'd be a pretty messed up world.
Dario AmodeiCo-founder and CEO of AnthropicThis is a topic that I warned about very publicly in 2025 , where I predicted that AI could displace half of all entry-level white collar jobs in the next 1–5 years, even as it accelerates economic growth and scientific progress.↗The Adolescence of Technology (January 2026)darioamodei.com · 1 Jan 2026
Their wordsThis is a topic that I warned about very publicly in 2025 , where I predicted that AI could displace half of all entry-level white collar jobs in the next 1–5 years, even as it accelerates economic growth and scientific progress.
Their wordsBy contrast, AI is increasingly matching the general cognitive profile of humans, which means it will also be good at the new jobs that would ordinarily be created in response to the old ones being automated.
Dario AmodeiCo-founder and CEO of AnthropicTo be clear, speed in itself does not mean labor markets and employment won’t eventually recover, it just implies the short-term transition will be unusually painful compared to past technologies, since humans and labor markets are slow to react and to equilibrate.↗The Adolescence of Technology (January 2026)darioamodei.com · 1 Jan 2026
Their wordsTo be clear, speed in itself does not mean labor markets and employment won’t eventually recover, it just implies the short-term transition will be unusually painful compared to past technologies, since humans and labor markets are slow to react and to equilibrate.
Dario AmodeiCo-founder and CEO of AnthropicIf AI-driven labor displacement ends up being large in magnitude and permanently drives down the demand for labor, it will likely be necessary to go beyond mere incentive programs to long-term income support for a significant fraction of the labor force.↗Policy on the AI Exponential (June 2026)darioamodei.com · 1 Jun 2026
Their wordsIf AI-driven labor displacement ends up being large in magnitude and permanently drives down the demand for labor, it will likely be necessary to go beyond mere incentive programs to long-term income support for a significant fraction of the labor force.
Their wordsFirst, enduring job displacement is undesirable and dangerous, and we should do everything we can to minimize or prevent it, not to bring it about.
Their wordsbut at the same time, we're spending $10 billion to train the next model because there's an exponential scale up. And so the company loses money. Each model makes money, but the company loses money.
Their wordsI actually think profitability happens when you underestimated the amount of demand you were going to get and loss happens when you overestimated the amount of demand you were going to get because you're buying the data centers ahead of time.
Their wordsI kind of get the impression that, you know, some of the other companies have not written down the spreadsheet, that they don't really understand the risks they're taking. They're just kind of doing stuff cuz it sounds cool.
Their wordsAnd if my if my revenue is not a trillion dollars, if it's even 800 billion, there's no force on Earth. There's there's no hedge on Earth that could stop me from going bankrupt if I if I buy that much compute.
Their wordsThe way you get industries in which there are small number of players are very high costs of entry, right? Um so, you know, uh cloud is like this. I think cloud is a good example of this. You have three, maybe four players within cloud. I think I think that's the same for AI, three maybe four.
Their wordsLike models are good at different types of coding. Models have different styles. Like I think I think these things are actually, you know, quite different from each other. And so expect more differentiation than you see in in um cloud.
Their wordsso so I think we're definitely going to see business models that that recognize that, you know, at some point we're going to see, you know, pay for results or you you know, in some in some form or we may see forms of compensation that are like labor. Um, uh you know, that that kind of work by the hour.
Dario AmodeiCo-founder and CEO of AnthropicThese systems will be absolutely central to the economy, technology, and national security, and will be capable of so much autonomy that I consider it basically unacceptable for humanity to be totally ignorant of how they work.↗The Urgency of Interpretability (April 2025)darioamodei.com · 1 Apr 2025
Their wordsThese systems will be absolutely central to the economy, technology, and national security, and will be capable of so much autonomy that I consider it basically unacceptable for humanity to be totally ignorant of how they work.
Dario AmodeiCo-founder and CEO of AnthropicEven more recently, we’ve begun to use mechanistic interpretability techniques to improve our safeguards and to conduct “audits” of new models before we release them, looking for evidence of deception, scheming, power-seeking, or a propensity to behave differently when being evaluated.↗The Adolescence of Technology (January 2026)darioamodei.com · 1 Jan 2026
Their wordsEven more recently, we’ve begun to use mechanistic interpretability techniques to improve our safeguards and to conduct “audits” of new models before we release them, looking for evidence of deception, scheming, power-seeking, or a propensity to behave differently when being evaluated.
Their wordsgiven the serious dangers that I lay out in adolescence of technology around things like the you know, kind of biological weapons and bioterrorism, autonomy risk and the timelines we've been talking about, like 10 years is an eternity. Like that's that's a that's a I I think that's a crazy thing to do.
Their wordsThe counterarguments against it are I'll politely call them fishy. Um, uh and yet it doesn't happen and we sell the chips because there's there's so much money. There's so much money riding on it.