Sam Altman told an Australian bank CEO he was pretty wrong about AI job displacement. What does the evidence actually say in May 2026?

Started by Golden Dan, May 29, 2026, 08:48 PM

Previous topic - Next topic

0 Members and 1 Guest are viewing this topic.

Topic: Sam Altman told an Australian bank CEO he was pretty wrong about AI job displacement. What does the evidence actually say in May 2026?   Views(Read 28 times)

Golden Dan

Sam Altman told Commonwealth Bank of Australia CEO Matt Comyn this week that he was pretty wrong about the pace of AI's impact on entry-level white-collar jobs. The admission follows tech-sector layoffs exceeding 115,000 through May 2026, but occupational unemployment has not significantly changed. Economists are citing the Jevons paradox as one explanation: as AI makes tasks cheaper, demand for those tasks increases rather than employment falling.

The honest picture from May 2026: AI is changing work significantly but killing it less directly than the 2023 predictions suggested. The jobs being affected are within roles not between them.

AI News Recap: May 29, 2026

HitmanMatt53

The Jevons paradox applying to AI is the insight that deserves more attention. Cheaper analysis does not produce less analysis employment. It produces more analysis at lower cost with the same or more analysts
GG no re

Plateau65

115,000 tech layoffs through May while occupational unemployment is unchanged suggests the layoffs are hitting a sector that already had high employment rates and the displaced workers are finding other work
Measure twice, post once

Clever Erin

Within roles not between them is the accurate description of what the data shows. Lawyers are using AI to do research faster. They are not being replaced by AI. Their paralegal teams are smaller

Harbour

Altman admitting he was wrong is more useful than doubling down on the original prediction. The honest engagement with evidence matters more than defending a prior position
My team is always one signing away

IronFist56

The jobs most affected by AI in 2025-26 are tasks not occupations. The distinction is important for policy because task displacement looks different from occupational displacement in every economic model
Have you tried turning it off and on again?

Oscar73

China mandating that private-sector AI experts need permission to leave the country is the policy response that says more about the stakes than any earnings call forecast