As discussions persist regarding the true ramifications of artificial intelligence (AI) on the workforce, OpenAI’s CEO, Sam Altman, has remarked on a troubling trend of “AI washing.” This phenomenon manifests in certain corporations misattributing workforce reductions to advancements in AI technology.
“While I can’t precisely quantify the extent, there’s certainly some AI washing occurring. Companies are attributing layoffs to AI when those reductions would have transpired regardless.
Simultaneously, genuine displacement of various job categories due to AI is evident,” Altman declared during an interview with CNBC-TV18 at the India AI Impact Summit in February.
The concept of AI washing has gained prominence as emerging research increasingly reveals a murky narrative surrounding the impact of AI on employment, raising questions about whether the technology is significantly jeopardizing human jobs or remaining largely benign.
A report disseminated in February by the National Bureau of Economic Research illustrated that among C-suite executives surveyed in the U.S., U.K., Germany, and Australia, nearly 90% asserted that AI had not influenced workplace employment in the three years following the late-2022 advent of ChatGPT.
Nevertheless, foreboding warnings have emerged from influential tech leaders, including Anthropic’s CEO Dario Amodei, who anticipates a precipitous decline in white-collar positions, with AI potentially eliminating 50% of entry-level office roles.
Notably, Snap’s CEO Evan Spiegel recently acknowledged layoffs, citing AI’s influence, declaring plans in April to dismiss approximately 1,000 employees, equating to about 16% of their workforce.
Furthermore, insights from the 2025 World Economic Forum Future of Jobs Report indicate that about 40% of employers envision similar workforce reductions due to AI advancements.
Altman articulated his expectations for heightened job displacement coupled with the emergence of new roles born from AI’s integration into various sectors.
“As history has shown with each technological revolution, new job categories will undoubtedly arise,” he commented. “However, I foresee that AI will have a tangible impact on job roles in the next few years.”
Identifying AI Washing
Recent data from a Yale Budget Lab report casts doubt on Altman and Amodei’s scenario of widespread worker displacement resulting from AI.
Utilizing insights from the Bureau of Labor Statistics’ Current Population Survey, the findings indicated no substantial variation in the occupational mix or unemployment duration for individuals in roles significantly exposed to AI following the advent of ChatGPT through March 2026.
This evidence suggests an absence of notable labor market disruptions attributable to AI so far.
“Interpreting the data from any perspective, it’s apparent that, at this precise moment, major macroeconomic shifts are not noticeable,” remarked Martha Gimbel, executive director and cofounder of the Yale Budget Lab, as she spoke with Fortune.
Gimbel attributed the AI washing phenomenon to organizations deflecting blame for declining margins and revenues—arising from challenges in addressing consumer apprehensions and geopolitical instability—onto AI.
In an article for Fortune, WebAI cofounder and CEO David Stout commented on the escalating pressure faced by tech entrepreneurs to rationalize extensive investments in AI, leading to narratives depicting AI as a disruptor of labor and the economy and predicting mass worker displacement.
This interim period of uncertainty regarding AI’s effects echoes the technological boom witnessed in the 1980s, according to Torsten Slok, chief economist at Apollo Global Management.
Nearly four decades ago, economist and Nobel laureate Robert Solow noted a lack of productivity advancements during what was anticipated as a productivity leap in the personal computer era, and Slok perceives a similar trend today.
Assessing AI’s Employment Influence
Slok further speculated that the current lull in AI’s economic effects might follow a J-curve, marked by an initial downturn in performance obscured by substantial early expenditures before an exponential leap in productivity and labor transformations.
Erik Brynjolfsson, director of Stanford University’s Digital Economy Lab, posited that contrary to prevailing skepticism, recent labor statistics might indicate emerging impacts of AI on both productivity and employment.
He pointed to a disconnect between job growth and GDP expansion apparent in the latest employment revisions: last week’s report downgraded job gains to only 181,000, in contrast to GDP growth tracking upwards at 3.7%.
Brynjolfsson’s analysis revealed a 2.7% year-over-year productivity increase last year, a rise he attributes to the preliminary benefits of AI.
In his pivotal study published last year, Brynjolfsson identified a 13% decline in employment among early-career individuals in roles significantly impacted by AI. Conversely, more seasoned employees experienced stable or rising employment rates.
“The updated 2025 U.S. data indicates that we are transitioning from an investment phase into a harvest phase,” he noted in the FT, “where our earlier endeavors are beginning to yield tangible outcomes.”
Source link: Fortune.com.
