AI as a Layoff Shield: CEOs Debate the Real Reasons Behind Workforce Cuts
When Block CEO Jack Dorsey announced last week that his fintech company would eliminate 40% of its workforce, he pointed to artificial intelligence as the catalyst: AI, he argued, would enable smaller teams to achieve more. The move sparked immediate speculation—was this the new playbook for corporate America in the age of rapid AI adoption?
Not everyone agrees. Will Ahmed, CEO of wearable health-tech company Whoop, offered a stark counterpoint in a post on X: his company plans to nearly double its 800-person team this year. Drawing a deliberate contrast with the wave of layoffs sweeping the sector, Ahmed challenged the emerging narrative that AI necessitates headcount reductions. "Investing in talent and AI tools are not mutually exclusive," he wrote. "Many of these 'AI layoffs' are just companies underperforming or lacking a bigger market opportunity."
In a subsequent interview with Bloomberg, Ahmed sharpened his critique. "There are a lot of companies that are doing layoffs right now and blaming it on AI," he said. "But they're actually doing layoffs because the businesses aren't performing particularly well. And it's a convenient excuse."
His remarks cut to the heart of a growing trend. Amid widespread workforce reductions across corporate America, many executives have been hesitant to cite traditional drivers like weak demand or poor financial results. Instead, AI has become a frequent refrain in layoff announcements. According to outplacement firm Challenger, Gray & Christmas, AI was referenced in nearly 55,000 job cuts in 2025 alone—with leaders like Dorsey explicitly tying job losses to automation.
Economists, however, caution against oversimplification. Layoffs, they note, stem from a complex mix of factors: shifting immigration policy, tariff uncertainties, political volatility, and, often, straightforward underperformance. A closer examination of Block's cuts—which reportedly affected policy and DEI roles—suggests the strategy aligns more closely with conventional cost-cutting than with AI-driven restructuring. Some analysts argue that, like many tech firms, Block overhired during the pandemic boom and is now correcting course.
Moreover, evidence that AI is triggering broad-based job contraction remains limited. Goldman Sachs economists recently estimated that sectors most exposed to AI saw only 5,000 to 10,000 net monthly job losses last year—a modest figure in the context of the overall labor market. Yet framing layoffs as an AI transition, rather than a response to operational challenges, can offer a more forward-looking, shareholder-friendly narrative.
Ahmed isn't alone in calling out this dynamic. At a recent AI conference in India, OpenAI CEO Sam Altman acknowledged a similar pattern. "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," Altman said. "I expect we'll see more of the latter over time."
Still, for every executive willing to nuance the conversation, others continue to champion AI as a transformative force—and market incentives suggest the trend will persist. Following Dorsey's announcement, Block's shares rose 15%, a signal that investors may reward narratives of efficiency, even when the underlying realities are more complicated.
As the debate unfolds, the question isn't just whether AI is replacing jobs—it's whether the technology is being used as a legitimate explanation or a strategic shield. For workers navigating this uncertainty, the distinction matters deeply.
