Sam Altman, CEO of OpenAI, is drawing a critical distinction between companies falsely attributing workforce cuts to artificial intelligence and genuine job displacement caused by AI technology. Speaking at the India AI Impact Summit in February, Altman told CNBC-TV18 that AI washing layoffs is a real phenomenon—but that authentic AI-driven job losses will likely accelerate.
Key Takeaways
- Sam Altman confirmed some companies blame AI for layoffs that would have happened anyway, a practice he calls AI washing.
- Altman expects the real impact of AI on employment to become noticeably palpable within the next few years.
- New jobs will emerge from AI-driven change, following historical patterns from previous technology revolutions.
- 40% of employers globally expect to reduce staff due to AI, according to the 2025 World Economic Forum Future of Jobs Report.
- Anthropic CEO Dario Amodei predicts AI could eliminate 50% of entry-level office jobs, a more pessimistic view than Altman’s.
What Is AI Washing in the Context of Layoffs?
AI washing refers to companies using artificial intelligence as a convenient scapegoat for workforce reductions they would have implemented regardless of technological change. Altman stated plainly: “I don’t know what the exact percentage is, but there’s some AI washing where people are blaming AI for layoffs that they would otherwise do, and then there’s some real displacement by AI of different kinds of jobs.” The distinction matters because it separates corporate spin from genuine economic disruption. When a company announces layoffs citing AI efficiency gains, the public cannot easily verify whether AI truly drove the decision or whether leadership simply used the technology as cover for cost-cutting motivated by other factors—falling revenue, market saturation, or shareholder pressure.
Recent high-profile layoffs have fueled this confusion. Snap announced in April that it would cut approximately 1,000 employees, representing 16% of its workforce, and cited AI as a factor in the restructuring. Amazon, IBM, Salesforce, and HP have similarly cited AI when announcing headcount reductions, though Altman did not specifically accuse these companies of AI washing. The practice has become widespread enough that it now carries a name, suggesting the tech industry recognizes the phenomenon as distinct from legitimate automation-driven job losses.
Real Job Displacement Is Coming, Altman Warns
While Altman cautions against dismissing all AI-related layoffs as spin, he also forecasts that authentic job displacement will intensify. “I expect we’ll see more of the latter over time,” he said, referring to genuine AI-driven job losses. More pointedly, he added: “But I would expect that the real impact of AI doing jobs in the next few years will begin to be palpable.” This represents a significant admission from one of the world’s most influential AI executives. Rather than downplaying AI’s labor market impact, Altman is signaling that the technology will increasingly displace workers across multiple sectors and skill levels.
The 2025 World Economic Forum Future of Jobs Report found that 40% of employers globally expect to reduce staff due to AI. This statistic underscores the scale of anticipated change. Altman’s framing suggests that many of these reductions will be legitimate—driven by genuine automation and efficiency gains—rather than corporate theater. The timeline he implies (next few years) places significant disruption within the near term, not the distant future.
The Optimistic Counter: New Jobs Will Emerge
Altman does not paint a purely dystopian picture. He invokes the historical precedent of previous technological revolutions, arguing that new employment categories will emerge to replace obsolete roles. “We’ll find new kinds of jobs, as we do with every tech revolution,” he stated. This reflects the argument that while AI will destroy certain job categories—data entry, routine customer service, basic coding tasks—it will simultaneously create demand for new roles: AI trainers, prompt engineers, AI ethicists, and positions that do not yet exist.
However, this optimistic view contrasts sharply with more dire predictions from other AI leaders. Dario Amodei, CEO of Anthropic (OpenAI’s competitor), warned that AI could wipe out 50% of entry-level office jobs. Amodei’s forecast suggests that the transition period between job destruction and job creation could be brutal, particularly for workers without the resources to retrain. The gap between Altman’s measured optimism and Amodei’s darker warning reflects genuine uncertainty within the AI industry about labor market outcomes.
Why This Moment Matters
Altman’s comments arrive at a critical juncture. The AI industry has been under intense scrutiny for its labor market claims, with critics arguing that tech companies overstate AI’s capabilities while underestimating its disruptive potential. By acknowledging AI washing, Altman implicitly validates skeptics who suspected that some layoff announcements were opportunistic rather than technologically driven. Simultaneously, by predicting accelerating real job losses, he signals that the skepticism may be justified—just not in the way critics initially framed it. The problem is not that AI will have no impact; the problem is that some companies are hiding behind AI to avoid accountability for decisions made on other grounds.
The distinction between AI washing and genuine displacement also matters for policymakers and workers. If 40% of employers are planning staff reductions and many cite AI, regulators need better tools to distinguish between legitimate automation and corporate cost-cutting masquerading as technological inevitability. Workers and labor advocates need to know which job losses are unavoidable and which are strategic choices that could have been made differently.
Is AI washing already widespread?
Altman acknowledged he does not know the exact percentage of layoffs attributable to AI washing versus genuine displacement. The practice appears real enough to warrant naming, but the scale remains unclear. No independent audit has quantified how many recent layoffs were truly AI-driven versus opportunistically labeled as such.
What kinds of jobs will AI displace first?
Altman did not specify which job categories face the greatest near-term risk, though his reference to AI doing jobs suggests routine, repetitive work across sectors like customer service, data processing, and administrative roles. Amodei’s warning about entry-level office jobs suggests white-collar positions are particularly vulnerable.
How long until new AI-related jobs offset job losses?
Altman did not provide a timeline for when new job creation would balance displacement. Historical tech revolutions have taken years or decades for new employment to fully emerge, suggesting the transition period could involve significant short-term disruption even if long-term employment remains stable.
Sam Altman’s willingness to name AI washing while simultaneously warning of accelerating real job losses reflects a more nuanced reality than either techno-optimists or pessimists typically acknowledge. Some companies are indeed using AI as cover for layoffs that have nothing to do with automation. But that does not mean AI’s labor market impact is overstated—it means the impact is both real and obscured by corporate rhetoric. The next few years will test whether Altman’s prediction of palpable job displacement comes true, and whether the new jobs he expects actually materialize at the scale needed to absorb displaced workers.
Edited by the All Things Geek team.
Source: TechRadar
