The numbers arriving from Q1 2026 are hard to ignore. More than 50,000 tech jobs have been cut. Oracle laid off an estimated 20,000 to 30,000 employees in a single day. Block eliminated 40% of its workforce. Snap cut 16%. Atlassian shed 1,600 roles and replaced its chief technology officer with two AI-focused co-CTOs. Challenger, Gray & Christmas, the firm that tracks job cuts, reported that artificial intelligence topped the list of reasons companies gave for slashing headcount in March 2026 — for the first time ever. In the United States alone, AI was cited as a contributing factor in roughly 27,000 job cuts in Q1, a 40% increase from the same period in 2025.
And yet, at the Semafor World Economy conference in Washington, D.C. on Thursday, Jason Droege — the chief executive of Scale AI, one of the most prominent companies in the AI infrastructure business — offered a sharply different reading of what is actually happening.
“Washing the layoffs,” he called it.
The AI Excuse Theory
Droege’s argument is specific and pointed. Many of the companies attributing job cuts to artificial intelligence, he argued, are using AI as a convenient framing for layoffs they would have made anyway. The cuts are ordinary “right-sizing” — the kind of workforce adjustment that companies make periodically in response to over-hiring, changing business conditions, or investor pressure to reduce costs — dressed up in the language of technological transformation. The AI attribution gives executives cover, he suggested, and makes what would otherwise be a routine cost-cutting exercise sound like a strategic pivot.
“Companies are doing layoffs and then washing the layoffs” by attributing them to AI, Droege told the conference. He described the broader narrative of an AI employment “apocalypse” as overblown, arguing that AI is still too unreliable to make the high-stakes decisions and complex judgments that most white-collar workers perform at work. Droege specifically cited financial decisions as an area where AI remains inconsistent and prone to the kinds of small errors that carry outsized consequences.
His underlying point is nuanced but important: the presence of AI in a company’s technology stack does not automatically mean it is displacing workers at the claimed rate. The claim of AI causation flatters the technology’s current capabilities while also serving the CEO’s narrative interest in appearing forward-thinking rather than simply cutting costs.
A Divided Room
Droege’s view was not universally shared at the Semafor conference, which illustrated how deeply the AI employment debate divides even sophisticated observers.
Senator Mark Warner, a Democrat from Virginia, pushed back hard. He described rapid AI advancements as a “hair on fire” moment, warning that CEOs are publicly downplaying the scale of the job cuts they are privately planning. Warner argued that the visible wave of 2026 layoffs is not the full picture — that the real displacement is happening more quietly and will become visible in aggregate labour market data over the next one to two years.
Chris Hyams, CEO of Indeed and Recruit Holdings — the company that runs the world’s largest job platform — offered a middle position. He does not expect unemployment to become uncontrollable, he said, because there are “so many open positions” in blue-collar industries: construction, plumbing, electrical work, trades that AI cannot yet perform and that are experiencing structural labour shortages. His implicit argument is that the labour market has a shock absorber in the form of robust demand for physical and manual work, even as white-collar knowledge roles face the most direct automation pressure.
What the Data Actually Shows
The empirical picture is, as Droege’s “washing” thesis implies, genuinely murky. A Duke University CFO survey conducted with the Federal Reserve Banks of Atlanta and Richmond found that, among 750 US chief financial officers, just 44% said they planned any AI-related job cuts. When the authors calculated the aggregate impact, they found approximately 502,000 roles — just 0.4% of the roughly 125 million US jobs — expected to be eliminated this year due to AI.
“It’s not the doomsday job scenario that you might sometimes see in the headlines,” John Graham, co-author of the study and director of the Duke CFO survey, told Fortune.
That is a dramatically smaller number than the apocalyptic framing suggests. And the report found something else worth noting: there is a wide gap between the perceived productivity gains from AI and the actual gains companies are realising. The researchers suggest this reflects a lag between AI adoption and realised revenue — companies are deploying AI tools, but the productivity benefits are not yet flowing through in the way that would justify the scale of workforce displacement being attributed to the technology.
An MIT study published in early April added to the complexity, finding that AI is advancing through the workforce more like a “rising tide” than a “crashing wave” — meaning work will change broadly and gradually, not through sudden wipeouts. MIT researchers examined 11,500 tasks across the US Labour Department’s database and found that AI’s real-world usability is still constrained by the gap between benchmark performance and workplace deployment.
What Droege Gets Right — and What He Sidesteps
Scale AI’s CEO deserves credit for making an argument that cuts against the tide of his own industry’s hype. AI companies have a collective interest in the narrative that AI is so transformatively powerful that it is reshaping the entire workforce. That narrative drives investment, justifies valuations, and attracts talent. Droege, by pushing back against the apocalypse framing, is doing something relatively unusual: suggesting that the technology’s current capabilities are being overstated in the public discourse about employment.
He is right that many AI-attributed layoffs almost certainly reflect ordinary business restructuring wearing a technology costume. The pattern is visible: companies that over-hired during the 2021–2022 technology boom, that are now under investor pressure to demonstrate capital discipline, and that are making routine reductions find it strategically advantageous to frame those reductions as proof of AI-driven transformation. The tech sector announced 52,000 layoffs in Q1 2026 — but the broader US economy recorded a total of 217,362 job cuts, which was actually the lowest Q1 total since 2022 and far below the 600,000+ of Q1 2025, which was dominated by government DOGE-related cuts.
What Droege sidesteps, however, is the category of workers who are genuinely displaced — not by AI washing, but by the real and documented automation of entry-level tasks in customer support, quality assurance, content moderation, and data processing. Goldman Sachs data shows that companies making AI-related cuts are simultaneously paying their remaining engineers significantly more. The technology is not uniformly depressing wages or destroying jobs. It is bifurcating the labour market: creating premium demand for senior engineers who can work with AI, while structurally displacing junior and middle-skill roles where the primary output is text generation, code from templates, or routine data categorisation.
His other concession is also telling. He acknowledged that employees who fail to adapt to AI tools face genuine career risk — “your livelihood could be at risk, but that’s because you didn’t adapt, not because there is something that just happened to us out of our control.” That is a meaningful statement from the CEO of an AI company. It places the responsibility for adaptation on individual workers and frames the employment risk as a product of individual choice rather than structural displacement.
The Question Worth Asking
Senator Warner’s “hair on fire” framing and Droege’s “it’s overblown” view are not necessarily as far apart as they appear. Both accept that AI is changing work at speed. Both accept that some displacement is real. The difference is in the framing of agency and inevitability.
What the honest answer likely looks like is somewhere in between the apocalypse and the dismissal. AI is genuinely automating some jobs — concentrated in specific tasks, specific sectors, and specific skill levels. AI is also genuinely being used as an excuse for cuts driven by other factors entirely. And the overall labour market, for now at least, is still absorbing the impact: hiring announcements in March 2026 surged 157%, suggesting that a reshuffling rather than a collapse is the better description of what is happening.
That is a harder story to tell. But it is almost certainly closer to the truth than either the apocalypse or the denial.
Written by Shalin Soni, CMA specializing in financial analysis, global markets, and corporate strategy, with hands-on experience in financial planning and analytical decision-making.
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Source: Based on Forbes and publicly available information.