Some of the people on record here expect AI to remove whole classes of work within a few years. Others think the confident predictions are themselves the overreach — that past waves created new work, and that the loudest forecasts have already missed. A third group has stopped arguing about whether and started arguing about what to do if it happens. Dated, in their own words.
14 dated claims from 6 people · 4 views · most recent 2 Sept 2026. Every line below links to the person’s own words.
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DADario AmodeiThis 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.
Co-founder and CEO of Anthropic
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.
DADario AmodeiBy 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.
Co-founder and CEO of Anthropic
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.
DADario AmodeiTo 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.
Co-founder and CEO of Anthropic
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.
Sam AltmanThere will be very hard parts like whole classes of jobs going away, but on the other hand the world will be getting so much richer so quickly that we’ll be able to seriously entertain new policy ideas we never could before.
Co-founder and CEO of OpenAI
Their wordsThere will be very hard parts like whole classes of jobs going away, but on the other hand the world will be getting so much richer so quickly that we’ll be able to seriously entertain new policy ideas we never could before.
Sam AltmanWe will find new things to do, new ways to be useful to each other, and new ways to compete, but they may not look very much like the jobs of today.
Co-founder and CEO of OpenAI
Their wordsWe will find new things to do, new ways to be useful to each other, and new ways to compete, but they may not look very much like the jobs of today.
Filed here becauseNot a forecast about AI at all — it is a claim about what the layoffs already blamed on AI actually were.
David Heinemeier HanssonAnd I think what we're seeing right now with some of the layoffs is a testament to that, not AI. It's just that during the pandemic, a bunch of overhiring went on, and now AI is a convenient excuse to slim down. But I do also think AI is going to expose some roles as just not being productive ways for humans to spend their time, and therefore we must come up with new ways of spending their time.
Creator of Ruby on Rails, CTO of 37signals
Their wordsAnd I think what we're seeing right now with some of the layoffs is a testament to that, not AI. It's just that during the pandemic, a bunch of overhiring went on, and now AI is a convenient excuse to slim down. But I do also think AI is going to expose some roles as just not being productive ways for humans to spend their time, and therefore we must come up with new ways of spending their time.
Andrej KarpathyExpectation: rapid progress in image recognition AI will delete radiology jobs (e.g. as famously predicted by Geoff Hinton now almost a decade ago). Reality: radiology is doing great and is growing.
Founding member of OpenAI and former director of AI at Tesla
Their wordsExpectation: rapid progress in image recognition AI will delete radiology jobs (e.g. as famously predicted by Geoff Hinton now almost a decade ago). Reality: radiology is doing great and is growing.
DADario AmodeiFirst, enduring job displacement is undesirable and dangerous, and we should do everything we can to minimize or prevent it, not to bring it about.
Co-founder and CEO of Anthropic
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.
DADario AmodeiIf 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.
Co-founder and CEO of Anthropic
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.
Entry-level white-collar work is where junior programmers are hired. If half of it goes within five years, the industry is not simultaneously still hiring the juniors who become the seniors.
Karpathy’s claim is second-order: it is about forecasts like this one, and it calls them naive. Amodei’s one-to-five-year displacement forecast is squarely the genre under attack, so the two men cannot both be reading the evidence correctly.
Altman’s consolation is that new kinds of work appear as old ones go. Amodei’s point is that AI reaches the new work too, because it matches the general human cognitive profile rather than a fixed list of tasks. These are opposite answers to the same question.
Radiology is the standing counter-example to confident displacement forecasts, and Amodei’s is the current confident displacement forecast. The disagreement is about whether this time the forecast is better founded.
Amodei reads the labour market as being reshaped by AI. Hansson reads the same layoffs as pandemic over-hiring correcting itself with AI supplied as the cover story. Both can be true at once — a forecast about the coming years is not refuted by a different cause for this year’s cuts — and the disagreement is about which one the current evidence supports.
Altman treats elimination as acceptable provided the wealth it creates funds the response. Amodei treats minimising displacement as the goal rather than something to be compensated for afterwards. Both could hold, but they send policy in opposite directions.
Amodei holds both of these: that long-term income support will be needed for a significant share of the workforce, and that UBI is at most a small part of the answer. Not a contradiction, since income support need not take the form of UBI, but the two sit uneasily together and the gap between them is where the actual policy argument lives.