Dario Amodei
Co-founder and CEO of Anthropic; previously VP of research at OpenAI.
Dario Amodei did not write this page. ppll compiled it from their own words, each linked to the source. Is this you? · Report a mistake
What they believe
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Enduring job displacement is undesirable and dangerous, and should be minimised rather than accepted as a goal.
First, enduring job displacement is undesirable and dangerous, and we should do everything we can to minimize or prevent it, not to bring it about.
darioamodei.comSaid 1 Jun 2026This on korrents
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AI could displace half of all entry-level white-collar jobs within one to five years, even while it accelerates economic growth.
This 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.
darioamodei.comSaid 1 Jan 2026This on korrents
The bold line is korrents’ wording; the quote is theirs. These 2: what they wrote before what they said aloud, one per source, newest first.
Beliefs
Korrents What they believe 43 beliefs — each backed by an exact quote.
Each is a — compiled by korrents.com, not by them: the one-line wordings are korrents', the quotes are theirs.
Recent
Enduring job displacement is undesirable and dangerous, and should be minimised rather than accepted as a goal.
First, enduring job displacement is undesirable and dangerous, and we should do everything we can to minimize or prevent it, not to bring it about.
Policy on the AI Exponential (June 2026) Said 1 Jun 2026
If AI permanently drives down demand for labour, long-term income support for a significant fraction of the workforce will likely become necessary.
If 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) Said 1 Jun 2026
The most surprising thing about the last three years is not the technology but how few people recognise we are near the end of the exponential.
I 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
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Pre-training is not the process by which humans learn; it sits somewhere between human learning and human evolution.
I think there's something going on that pre-training it's it's not like the process of humans learning. It's somewhere between the process of humans learning and the process of human evolution.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
RL environments exist to make a model generalise, not to teach it each skill one at a time — exactly as pre-training does.
the 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” Said 13 Feb 2026
There is a 90% chance of a country of geniuses in a datacentre within ten years, and no honest forecast can go much higher than that.
on 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
The one genuine uncertainty left about AI capability is tasks nobody can verify — planning a Mars mission, discovering CRISPR, writing a novel.
My one little bit, the one little bit of of fundamental uncertainty even on long time scales is this thing about tasks that aren't verifiable. Like, planning a mission to Mars, like, uh you know, doing some fundamental scientific discovery like like CRISPR, like, you know, writing a writing a novel. Hard to hard to verify those tasks.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Models already generalise substantially from tasks that can be verified to tasks that cannot.
We already see substantial generalization from things that that verify to things that don't verify. We're already seeing that.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Predicting that AI would write 90% of the code was never a prediction that we would need 90% fewer software engineers.
But but that's actually a very weak criterion, right? People thought I was saying like we won't need 90% of the software engineers. Those things are worlds apart, right?
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Even a country of geniuses in a datacentre will not be an infinitely compelling product; it buys three to ten times growth a year, not instant adoption.
but it's not an infinitely compelling product, and I don't think even AGI or powerful AI or country of geniuses in a data center will be an infinitely compelling product. It will be a compelling product enough maybe to get three or five or 10x a year growth even when you're in the hundreds of billions of dollars, which is extremely hard to do and has never been done in history before, but not infinitely fast.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
A lab under real commercial pressure cannot fool itself about whether AI makes it productive, because the output is a model launch every few months.
Like we see the end productivity every few months in the form of model launches. Like there's no kidding yourself about this. Like the models make you more productive.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Coding models give AI research a 15 to 20% total-factor speedup today, up from about 5% six months ago.
Like I would say right now the coding models give maybe I don't know a a like 15 maybe 20% total factor speedup. Like that's my view. Um and 6 months ago it was maybe 5% and so and so it didn't matter.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Continual learning will probably be solved within a year or two, but the trillions of dollars do not depend on solving it.
I 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 Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Longer context is an engineering and inference problem, not a research problem — nothing prevents it from working.
There'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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
If a lab is off by a single year in its revenue forecast, no hedge on Earth stops the compute it already bought from bankrupting it.
And 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Some of the other AI companies have not written down the spreadsheet — they are committing hundreds of billions without understanding the risk.
I 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
In this industry, profit means you underestimated demand and loss means you overestimated it, because the datacentres are bought years ahead.
I 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Every frontier model is profitable on its own; the company loses money only because it is already training one ten times more expensive.
but 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
AI will settle the way cloud did — three or four players, kept few by the cost of entry rather than by network effects.
The 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Models are far more differentiated from one another than clouds are, so AI will not commoditise the way cloud did.
Like 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
The real danger in AI-driven growth is geographic: 50% growth in and around Silicon Valley and business as usual everywhere else.
a 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 Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Robotics will be revolutionised a year or two behind the country of geniuses, and getting there does not require human-like learning.
does that mean the robotics industry will also be generating trillions of dollars of revenue? My answer there is yes, but there will be the same extremely fast but not infinitely fast diffusion. So, will robotics be be revolutionized? Yeah, maybe tack on another year or two.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
The history of machine learning is of proclaimed barriers dissolving inside the big blob of compute.
In 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?
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
The chatbot has hit its ceiling — a smarter model no longer helps the average consumer — and that is a limit of the product, not of AI.
The the chatbot is already running into limitations of, you know, making it smarter doesn't really help the average consumer that much. But I don't think that's a limitation of AI models. I don't think that's evidence that, you know, the models are are the models are good enough and they're they're, you know, them getting better doesn't matter to the economy.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Not every token is worth the same amount, so AI will be sold by results and by the hour as well as by the token.
so 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 Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Banning state AI regulation for ten years with no federal rule to replace it is a crazy thing to do, because ten years is an eternity.
given 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Chip export controls to China keep failing not because the case is weak but because there is too much money riding on the sale.
The 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
In an AI world growth and economic value come easily; distribution, wealth and political freedom are the hard parts, and that is where policy belongs.
What 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
Training a model on principles rather than a list of rules is not an ideology but an empirical finding: its behaviour is more consistent and covers edge cases.
it's it's kind of purely a practical and empirical thing that we've observed that by teaching the model principles, getting it to learn from principles, its behavior is more consistent, it's easier to cover edge cases, and the model is more likely to do what people want it to do.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
The hardest thing for a future historian to recover will be how little the world outside understood, because whatever happened looks inevitable in retrospect.
One 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
We will have a country of geniuses in a datacentre within ten years.
on 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.
Dario Amodei — “We are near the end of the exponential” Said 13 Feb 2026
AI could displace half of all entry-level white-collar jobs within one to five years, even while it accelerates economic growth.
This 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) Said 1 Jan 2026
Because AI matches the general cognitive profile of humans, it will also be good at the new jobs that would ordinarily replace the ones it automates.
By 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.
The Adolescence of Technology (January 2026) Said 1 Jan 2026
Labour markets will eventually recover from AI, but the speed of the transition makes the short term unusually painful compared with past technologies.
To 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) Said 1 Jan 2026
Anthropic now uses mechanistic interpretability techniques to audit new models for deception and scheming before releasing them.
Even 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) Said 1 Jan 2026
It is unacceptable to deploy AI systems central to the economy and national security while remaining ignorant of how they work.
These 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) Said 1 Apr 2025
Universal basic income is at most a small part of the answer to AI-driven job loss.
It could be as simple as a large universal basic income for everyone, although I suspect that will only be a small part of a solution.
Machines of Loving Grace (October 2024) Said 1 Oct 2024
Powerful AI will compress the biological and medical progress of the next 50-100 years into 5-10 years.
To 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.
Machines of Loving Grace (October 2024) Said 1 Oct 2024
Meaning in human life comes mostly from relationships and connection rather than from economic labour.
In any case I think meaning comes mostly from human relationships and connection, not from economic labor.
Machines of Loving Grace (October 2024) Said 1 Oct 2024
AI will structurally advance human health and reduce poverty, but there is no strong reason to expect it to structurally advance democracy or peace.
Unfortunately, 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) Said 1 Oct 2024
Humans can generally perform new language tasks from few examples or simple instructions, while current NLP systems largely cannot.
By contrast, humans can generally perform a new language task from only a few examples or from simple instructions - something which current NLP systems still largely struggle to do.
Language models are few-shot learners (with 30 co-authors) Said 28 May 2020
Scaling up language models greatly improves task-agnostic few-shot performance, sometimes matching prior fine-tuning approaches.
Here 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.
Language models are few-shot learners (with 30 co-authors) Said 28 May 2020
One-shot or zero-shot settings are the fairest comparisons to human performance and important targets for future work.
Ultimately, however, one-shot, or even sometimes zero-shot, seem like the fairest comparisons to human performance, and are important targets for future work.
Language models are few-shot learners (with 30 co-authors) Said 28 May 2020
Beliefs others hold too
Universal basic income is at most a small part of the answer to AI-driven job loss. 2 hold this
It could be as simple as a large universal basic income for everyone, although I suspect that will only be a small part of a solution.
Machines of Loving Grace (October 2024) Said 1 Oct 2024
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Where they publish
Site darioamodei.com Their own site, where the long essays are published.
Where the essays land — long pieces on AI capability, risk and policy, published occasionally and at length rather than in any feed of daily writing.
Link verified 1 Sept 2026.
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