Tech CEOs shift on AI job losses as executive fears drop 26 points

OpenAI's Sam Altman, Anthropic's Dario Amodei and Meta's Mark Zuckerberg have publicly shifted from predicting AI-driven job losses to emphasizing productivity gains and job creation, as an EY survey shows the share of CEOs expecting significant AI-related headcount reductions fell to 20% in May from 46% in January 2025.

"Our industry underestimated how much we're going to be able to keep people at the center of everything," Altman told CNBC in late May.

The reversal spans the tech sector's most prominent voices. Anthropic's Amodei, who warned in May 2025 that AI could eliminate half of entry-level jobs, wrote in a June essay that he wasn't trying to be a "prophet of doom" — though he maintained the possibility of "enduring job loss" remains. Meta's Zuckerberg said in an interview with Complex that if businesses focus on making people more productive faster than automation replaces them, "in theory there should be more jobs in the future, not less." Amazon's Andy Jassy spoke of AI's job-creating potential on CNBC in February, a year after announcing headcount reductions tied to the technology.

The rhetorical shift carries real stakes for the $2 trillion AI industry. Negative public sentiment has been building — only about 30% of Democrats think America should accelerate AI innovation as fast as possible, according to a Stanford and UC Berkeley poll, compared with 77% of tech founders. If CEOs can convince policymakers and the public that AI augments rather than replaces workers, the industry could face less regulatory resistance and more favorable conditions for the hundreds of billions in planned data center investment.

The Data Behind the Pivot

The EY-Parthenon survey of CEOs provides the clearest quantitative evidence of the shift. In January 2025, 46% of chief executives said AI investments would result in significant headcount reductions. By May 2026, that figure had fallen to 20% — a 26-percentage-point decline in 16 months. The change coincided with a period when actual labor market disruption proved less dramatic than many had forecast. The U.S. quit rate fell below pre-pandemic levels, and hire rates dropped to their lowest since April 2020, but mass AI-driven displacement did not materialize at the scale some had predicted.

A separate study by Ramp and Revelio Labs found that companies making the largest AI investments grew employment by roughly 10% more than otherwise similar companies that had not yet adopted AI. "The companies that I know that have adopted AI the most are also the ones hiring the most," Altman said.

Layoffs Still Mount, Even as Rhetoric Softens

The more optimistic messaging has not halted job cuts. Challenger, Gray and Christmas tracked 101,743 U.S. layoffs driven by AI in the first half of 2026, about 23% of all cuts the firm recorded. Technology companies announced 139,156 job cuts year-to-date, up 83% from 2025. Oracle cut 21,000 positions over the past 12 months, about 13% of its workforce, and cited AI adoption in a regulatory filing. Financial activities and information sector payrolls fell by 28,000 jobs a month on average in 2026, which Bloomberg tied to accelerating AI deployment.

The gap between CEO messaging and hard layoff data has not gone unnoticed. MIT economics professor David Autor said executives "may have realized it was simply bad business to say that your great new product will destroy the economy." Nvidia CEO Jensen Huang has called the habit of blaming AI for layoffs "lazy," arguing it makes little business sense to cut workers while companies are still learning to use the technology.

For investors, the question is whether the rhetorical shift signals a genuine change in how AI will reshape the workforce or a tactical effort to manage public perception. Microsoft's 2026 Work Trend Index found that the most important skills during AI adoption are reviewing AI output and critical thinking, "as execution becomes more scalable, the premium on judgment rises." BCG's Henderson Institute forecast that AI will reshape 50% to 55% of U.S. jobs over the next two to three years but create less job loss than many estimates suggest. If that forecast holds, companies that invest in AI while retaining and retraining workers could see productivity gains without the reputational damage of mass layoffs — a scenario that would benefit major AI adopters including Microsoft, Amazon and Alphabet.

This article is for informational purposes only and does not constitute investment advice.