Altman says AI has not triggered the jobs apocalypse he feared

Sam Altman used a Sydney AI conference to pull back one of the industry’s starkest warnings, saying the rapid spread of artificial intelligence had not produced the global “jobs apocalypse” he once feared. Speaking by video link with Commonwealth Bank of Australia chief executive Matt Comyn at the bank’s first dedicated AI event, Accelerate AI, Altman said he had expected far more white-collar displacement, especially in entry-level roles, by now.

Altman said OpenAI had been roughly right about the technical path of systems such as ChatGPT, but wrong about the speed with which the labor market would absorb the shock. He said he was “delighted to be wrong” about how quickly entry-level white-collar jobs would disappear and added that the economic and organizational adoption of AI was still in its early stages. The point matters because Altman is one of the most closely watched voices in the sector, and his view is feeding into how investors, policymakers and employers judge the pace of disruption.

That more measured view landed beside a harder-edged warning from Comyn. He has said artificial intelligence will take away jobs across the economy, that some work at CBA and elsewhere will be done by smaller teams, and that employers should avoid “false reassurance” about the changes ahead. CBA has already backed that view with money, launching a three-year A$90 million Future Workforce Program to help reskill staff. The bank and other Australian employers have also been cutting roles as they automate more work, underscoring that the debate is not about whether AI affects employment, but how fast the adjustment lands on workers.

The clearest test of whether the fear is becoming reality remains the labor data. In the United States, unemployment was 4.3% in April 2026 and nonfarm payrolls rose by 115,000, while the Federal Reserve said about 18% of firms had adopted AI by year-end 2025. That combination points to fast adoption without a collapse in hiring. A true jobs apocalypse would show up in a much uglier pattern: rising unemployment, stalled payroll growth and a broad retreat in entry-level hiring as adoption deepens.

The benchmark for the alarmist case was set by Anthropic chief executive Dario Amodei, who warned in May 2025 that AI could eliminate up to half of entry-level white-collar jobs within one to five years. Against that backdrop, the World Economic Forum’s Future of Jobs Report 2025 projected 170 million new jobs and 92 million displaced by 2030, a reminder that the harder question is not whether AI changes work, but who gets displaced first and who captures the gains.

That is why the language of “manageable” disruption matters. It gives companies room to move, investors room to wait and policymakers room to debate. For workers in the first line of exposure, especially entry-level white-collar roles, the comfort is less obvious.