Artificial intelligence is increasingly being blamed for job losses across the global tech sector. As companies cut roles while investing heavily in automation, the narrative often appears straightforward: AI is replacing workers.
But Sam Altman, chief executive of OpenAI, says the reality may be more complex. Speaking at the India AI Impact Summit 2026 and later in interviews, Altman suggested that some companies may be overstating AI's role in layoffs—a phenomenon he described as 'AI washing.'
Altman's argument is not that AI has no impact on jobs. Instead, he suggests it is sometimes used as a convenient explanation for workforce reductions that might have happened anyway. 'There's some AI washing where people are blaming AI for layoffs that they would otherwise do,' he said.
In his view, many layoffs still stem from familiar pressures such as restructuring, cost-cutting and shifting business models. Framing them as automation-driven can make the decisions appear inevitable rather than strategic.
In recent months, major companies including Google, Amazon and Tata Consultancy Services have cut thousands of roles while simultaneously investing in artificial intelligence.
For many workers, the overlap between layoffs and AI investment has reinforced the perception that automation is directly driving job losses. However, Altman argues that the link is not always as direct as it appears.
Data shows a more nuanced picture: while AI accounted for an estimated 55,000 layoffs in 2025, this represented less than 1% of total job cuts.
The majority of reductions were still driven by economic slowdowns, corporate restructuring, and efficiency initiatives rather than automation alone. However, the narrative of AI as a job-replacing force continues to gain traction, amplified by media coverage and high-profile company announcements.
This perception not only shapes public debate but also affects employee sentiment, influencing career decisions, workforce planning, and even government policies on technology and labor. Ultimately, the fear of AI-driven job loss often exceeds the reality reflected in the data, highlighting the need for a more informed discussion about its true impact.
Not all leaders in the AI sector share Altman's relatively measured outlook.
Source: International Business Times UK
