OpenAI CEO Sam Altman Reverses Stance on AI Jobs Impact

OpenAI CEO Sam Altman now says he does not expect the "jobs apocalypse" he previously predicted, admitting his earlier intuitions about AI replacing white-collar work were "off" [2]. Speaking at a Commonwealth Bank of Australia conference, Altman noted that the anticipated elimination of entry-level roles has not materialized, citing the persistent human desire for interpersonal interaction in the workplace as a key factor [2].

This shift in tone arrives as OpenAI, Anthropic, and other AI leaders face increasing scrutiny over the actual economic utility of their technology. While OpenAI targets $280 billion in revenue by 2030, companies are beginning to push back against the high costs of scaling these systems [2]. Uber, for instance, recently exhausted its 2026 budget for Anthropic’s Claude Code in just four months, highlighting the difficulty of justifying AI spending [1, 2].

The industry is currently defined by a race for infrastructure, where access to computing power—rather than just model breakthroughs—determines market leadership [1]. Anthropic, which is eyeing a potential IPO as soon as October, has secured over 220,000 Nvidia GPUs through SpaceX to maintain its growth trajectory [1]. Meanwhile, OpenAI remains deeply integrated with Microsoft’s Azure cloud, a partnership that ties its expansion to Microsoft’s own data center spending and regulatory constraints [1].

These structural pressures are forcing a reckoning for investors. As Anthropic and OpenAI move toward public offerings, they must demonstrate that their models provide durable value beyond the initial hype [1]. Analysts are watching closely as these companies grapple with rising training costs, uneven access to high-performance hardware, and government-imposed export controls that limit where advanced chips can be deployed [1].

The tension between the massive capital required to build frontier models and the practical, day-to-day utility of AI remains the central challenge for the sector. Whether these companies can translate their multibillion-dollar investments into sustainable enterprise revenue—or if the "jobs apocalypse" was simply a miscalculation of how businesses actually adopt new tools—will define the next phase of the AI economy [1, 2].