OpenAI CEO Sam Altman told an audience at the Commonwealth Bank of Australia conference in Sydney this week that he does not think the kind of jobs apocalypse predicted by some in the AI industry is going to happen. “I don’t think we’re going to have the kind of jobs apocalypse that some of the companies in our space advocate or talk about,” he said. The statement is a notable reversal from the warnings Altman himself has made in recent years about AI’s potential to displace large portions of the workforce.
What Changed — and What Didn’t
Altman acknowledged his past predictions were “pretty wrong” on the technology’s social and economic impact, though he added that the risk had not entirely disappeared. The timing of the reversal is notable: OpenAI is preparing for an IPO at an $852 billion valuation, and apocalyptic predictions about mass unemployment are not the message a company selling productivity software wants associated with its prospectus.
The about-turn also reflects a more complicated picture emerging from real-world enterprise AI deployments. Uber admitted its engineering team burned through its entire 2026 Claude Code budget in four months. NVIDIA’s VP of applied deep learning said compute costs for AI already exceed the cost of the human workers the tools are meant to augment. The jobs question is being answered not by mass displacement but by a messier reality: AI is expensive, hard to govern, and often fails to deliver the productivity gains that justified the investment.
What This Means for UK Workers and Employers
For British workers anxious about their positions, Altman’s reversal provides some reassurance — though economists caution that the aggregate picture conceals significant variation by sector and role. For UK employers who have built business cases around AI-driven headcount reductions, the recalibration is a useful moment to revisit assumptions. The more honest framing is augmentation with uneven results, not replacement at scale — at least for now.
