Why a Tech CEO Says AI Is a Scapegoat for the 2026 Layoffs

Tech executives keep pointing at artificial intelligence to explain the 2026 layoff wave, but one founder says the story is mostly cover. In an interview flagged by Inc., Whoop chief executive Will Ahmed argued that "AI has become this convenient scapegoat for letting people go," when the real drivers are over-hiring and businesses that are not performing. That reframing matters for anyone job hunting right now, because it changes how you read a layoff announcement and where you aim your search. At Metaintro, we track every layoff, every hire, and every shift in the job market so you know where to go next, and this is one of the most useful filters we have seen for cutting through 2026 headlines.

Who Is Will Ahmed and Why Does His Take Stand Out?

Will Ahmed is the founder and chief executive of Whoop, the Boston wearable-fitness company known for its subscription-based recovery and strain tracker. He is not an AI skeptic, and his company uses machine learning across its product. That is exactly why his comments landed. When a technology founder who builds with AI says the technology is being used as an excuse, it carries weight that a critic on the outside would not have.

His credibility on this point comes from running a company that is hiring while many peers shrink. Coverage from Business of Fashion reported that Whoop plans to expand its staff by roughly 75 percent, adding hundreds of roles and growing from around 800 employees toward more than 1,400. Ahmed framed the choice that many leaders treat as binary. As he put it, "Right now, companies are debating whether to hire more people or just invest in AI. We are doing both." A company that is adding people has far less incentive to hide behind a fashionable narrative, which is part of why his framing reads as honest rather than defensive.

What Does He Mean by AI Being a Scapegoat?

Ahmed's core argument is that AI has become a polished story executives tell to soften bad news. According to reporting summarized by Fast Company, he said there are "a lot of companies that are doing layoffs right now and blaming it on AI. But they're actually doing layoffs because the businesses aren't performing particularly well. And it's a convenient excuse." In that view, "AI layoffs" is a phrase that protects a leadership team. Saying you cut staff because a smarter system now does the work sounds like strategy, while saying you over-hired and missed your numbers sounds like a mistake.

The logic is straightforward. During 2020 and 2021, many technology companies hired aggressively, betting that pandemic-era demand for digital products would last. According to analysis from Crunchbase, some giants nearly doubled their headcount in that stretch, with Amazon adding about 93 percent, Meta roughly 92 percent, Alphabet around 60 percent, and Microsoft about 53 percent between 2019 and 2022. Reporting from CNN noted that several of those same leaders, including Meta's Mark Zuckerberg, later admitted they had misjudged how long the pandemic demand surge would last. When growth cooled and interest rates rose, those payrolls looked bloated, and the correction that followed was less about robots and more about math.

This is what some analysts now call "AI washing," the practice of dressing up an ordinary cost cut as a forward-looking transformation. As Forrester vice president J.P. Gownder told SHRM, "AI washing is pervasive right now. Some of the organizations and leaders who are claiming layoffs due to AI have very self-interested points of view." He added a sharp test for the claim: "If you are laying people off without a mature, ready-to-go AI agent to do the work, you are not laying off people because of AI."

Do the Layoff Numbers Support His Argument?

The data shows AI is genuinely cited in a meaningful share of cuts, which is why the debate is live rather than settled. Outplacement firm Challenger, Gray & Christmas reported that AI led all stated reasons for job cuts for two months running in early 2026, accounting for about 25 percent of March cuts and roughly 26 percent of April cuts, with more than 21,000 reductions tied to AI in April alone. Across the year so far, AI has been named in close to 49,000 announced cuts, up from roughly 55,000 across all of 2025. So the label is not invented out of nothing.

But Ahmed and others argue the label is doing heavy lifting. The firm itself has drawn a careful line, noting that many of these reductions are made in anticipation of AI rather than because a working system has already replaced the role. Babson College professor Thomas Davenport made the same point to SHRM, saying AI "is behind at least some layoffs, but these are almost completely in anticipation of AI's impact." That distinction matters, because a cut justified by what a tool might do someday is a forecast, not a fact.

Scale tells the rest of the story. Challenger reported that employers announced roughly 300,000 cuts in the first stretch of 2026, down about half from the same period a year earlier, even as the technology sector stayed under pressure with tens of thousands of tech roles eliminated. At the same time, Reuters and other outlets have noted that Amazon, Microsoft, Alphabet, and Meta committed on the order of 700 billion dollars in combined capital spending in 2026, much of it pointed at AI data centers. When companies cut staff while pouring money into infrastructure, the savings often fund the buildout rather than reflect work that machines have already absorbed.

How Are Big Companies Actually Wording Their Cuts?

The language executives use is revealing, because it tends to pair AI with speed and cost rather than with a specific job a machine has taken over. Reporting from CFO Dive on the early 2026 cuts captured the pattern across several large employers. Snap chief executive Evan Spiegel told staff that "rapid advancements in AI will enable teams to reduce repetitive work, increase velocity," tying reductions to efficiency rather than to roles that had already disappeared. Microsoft finance chief Amy Hood pointed to headcount declines while the company focused on "building high-performing teams that operate with pace and agility." Meta finance chief Susan Li framed a "leaner operating model" that "will allow us to move more quickly while also helping to offset the substantial investments we're making." None of those statements describes a system that has fully replaced a worker. They describe a leadership choice to run leaner while spending heavily on AI infrastructure.

Andy Challenger, the outplacement firm's chief revenue officer, put the underlying mechanic plainly when he told reporters, "Regardless of whether individual jobs are being replaced by AI, the money for those roles is." That single line captures Ahmed's point in budget terms. A company does not need a finished AI agent to cut a team. It only needs to decide that the dollars once spent on salaries are better spent on compute. For a job seeker reading these announcements, the takeaway is to separate the marketing from the math, because the polished AI framing rarely changes how many doors are actually open.

Is This Pattern Actually New?

History suggests it is not. Fortune highlighted commentary from labor economists who note that managers have reached for technology narratives to explain workforce decisions for decades. The script changes with the era, from automation to offshoring to software, but the function is the same. A neutral-sounding external force absorbs the blame that might otherwise fall on planning and management. That is part of why the AI explanation spread so quickly in 2026, because it offers a story that sounds inevitable rather than chosen.

Wharton professor Peter Cappelli pushed the point further in his remarks to SHRM. Cappelli argues that the companies cutting jobs are not necessarily struggling. As he put it, "The reason companies are cutting jobs is not because they are in financial trouble or that AI has taken jobs." In his reading, investor expectations and a harder post-pandemic posture toward labor are doing more work than any algorithm. That framing flips the headline. If profitable companies are cutting, the cause is closer to capital-market pressure than to a machine that suddenly outperformed a team.

None of this means AI has no effect on hiring. It clearly reshapes which roles companies open and how fast they fill them. As Lacey Kaelani, CEO of Metaintro, told People Managing People that "AI is not completely eliminating roles, but instead restructuring roles and therefore slowing hiring for some jobs." The honest read sits between the two extremes. AI is a real pressure on the job market, and it is also a convenient label that hides older, more familiar reasons for cutting.

Which Companies Show the Real Story?

Specific behavior tells you more than any press release. Many of the firms running the largest reductions in 2026 are not bleeding cash. They are highly profitable, which is precisely why the AI explanation invites scrutiny. When a company posts strong margins and still trims its workforce, the cut looks like a margin choice aimed at investors, not a survival move forced by technology.

Set that pattern against Whoop, which is expanding by roughly 75 percent while peers contract. Two companies can operate in overlapping tech-adjacent markets and read the same AI tools in opposite directions, one as a reason to shrink and the other as a reason to grow alongside more people. The difference is rarely the technology itself. It is the underlying health of the business and the strategy leadership has chosen.

For you as a job seeker, this is a practical signal worth more than any quote. A company's hiring trajectory often reveals what its statements obscure. Firms that are genuinely confident tend to keep opening roles, posting on careers pages, and moving candidates quickly, while firms managing decline tend to freeze, slow-walk, or quietly pull listings even as they talk about innovation.

What This Means for Your Career?

Direct your energy toward employers that are actually expanding. Companies in growth mode hire more forgivingly, move faster, and offer more room to grow once you are inside. You can find them by watching hiring trajectory rather than headlines, checking whether job postings are fresh and plentiful, and noticing which firms talk about adding capacity rather than only cutting it. Metaintro is built to surface exactly these signals so you spend your time where the doors are open.

Position yourself around outcomes that are hard to automate and easy to measure. Roles tied to revenue, customers, judgment, and cross-functional coordination are far less exposed than narrow, repeatable tasks. Research cited by SHRM estimates that around 15 percent of US roles are already at least half automatable and that a meaningful slice face elevated displacement risk over time, so the goal is not to outrun AI but to anchor yourself to work where human judgment compounds value. Analysis from McKinsey points in the same direction, finding that the capabilities least exposed to automation are the ones rooted in interpersonal skill and contextual judgment, such as negotiation, coaching, conflict resolution, and complex problem solving. Those are the muscles worth building now.

That insight also tells you where to aim if you want stability. Work that blends human relationships with hard-to-replicate decisions tends to hold its value as the tools improve, which is why roles in care, skilled trades, client-facing strategy, and team leadership keep showing up on lists of more durable jobs. If you frame your resume and interviews around results you have driven and judgment you have exercised, you become the kind of hire that healthy companies fight to keep, regardless of what the layoff headlines say.

People Also Asked

Q: Did AI really cause the 2026 tech layoffs?

A: Partly, but not as much as the headlines suggest. Challenger data shows AI was cited as a reason in roughly a quarter of recent monthly cuts, yet the firm and outside economists note that many of those reductions reflect anticipation of AI rather than work a system has already replaced. Over-hiring during the pandemic and pressure to protect margins explain a large share of the wave on their own.

Q: What is AI washing in the context of layoffs?

A: AI washing is when a company frames an ordinary cost-cutting decision as an AI-driven transformation. The term, used by analysts including Forrester's J.P. Gownder, describes leaders who claim AI made roles unnecessary even when no mature system is actually doing the work. The label sounds strategic, while the plainer reasons of over-hiring and weak performance sound like mistakes.

Q: How can job seekers tell which companies are genuinely growing?

A: Watch hiring trajectory rather than press releases. Companies that are truly healthy tend to keep posting fresh roles, fill them quickly, and talk about adding capacity, while firms managing decline freeze hiring or quietly pull listings even as they tout innovation. Tracking who is actively expanding is a far better signal than any single layoff or AI announcement.

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