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99% of CEOs Expect AI-Driven Layoffs in the Next Two Years
Brief published May 26, 2026 ยท Original source published May 24, 2026
Original reporting by Ece Yildirim at gizmodo.com.
Automated brief. Verify important details at the original source.
Silicon Valley CEOs Discover Amazing New Technology That Replaces Human Workers, Shocked to Learn It Replaces Human Workers
In a stunning display of cause-and-effect reasoning that would make Newton weep, 99% of CEOs surveyed by consulting firm Mercer have reportedly connected the dots between "investing heavily in automation technology" and "having fewer human employees." The breakthrough in executive cognitive function represents the largest advancement in C-suite intelligence since someone figured out stock buybacks boost share prices.
The survey, which polled executives who collectively employ millions of people while somehow maintaining they "care deeply about human potential," found that virtually every CEO expects their AI initiatives to result in layoffs within two years. This revelation apparently came as such a shock that Mercer felt compelled to publish a whole report about it, presumably titled "Water: Still Wet, More at Eleven."
The disconnect between corporate AI enthusiasm and workforce preservation has reached levels of cognitive dissonance that would impress a particle physicist. These are the same executives who spent the last three years breathlessly explaining how AI would "augment human capabilities" and "free workers to focus on higher-value tasks" (which, in corporate speak, has always meant "we're going to need fewer of you"). Now they're acting surprised that automating human jobs might actually automate human jobs, like a serial arsonist expressing genuine bewilderment at all these mysterious fires.
What makes this particularly delicious is the timing. For months, we've watched CEOs perform elaborate theatrical productions about "responsible AI deployment" and "human-AI collaboration." They've hosted panel discussions about the "future of work" where they nodded thoughtfully about retraining programs while their engineering teams quietly built systems designed to replace entire departments. It's been like watching someone plan a surprise party while loudly discussing the surprise party in front of the guest of honor, except the guest of honor is the entire working class and the surprise is unemployment.
The Mercer report reveals that executives are finally admitting what anyone who's ever automated a workflow already knew: when you build a machine to do a human's job, that human becomes redundant. This isn't exactly rocket science (though ironically, rocket science itself is increasingly automated). It's more like gravity science, or fire-is-hot science, or putting-your-hand-on-a-stove science. The outcome was predetermined the moment they started training large language models to write marketing copy and computer vision systems to review resumes.
What's fascinating is how the report frames this as some kind of revelation rather than the obviously predictable result of corporate decision-making. Companies have been optimizing for efficiency over employment since the first factory owner realized machines don't take sick days or demand better working conditions. AI is just the latest iteration of this ancient corporate tradition, dressed up in the sleek rhetoric of "digital transformation" and "algorithmic optimization." The only thing that's changed is that now the machines can also write the press releases announcing the layoffs.
The survey found that while CEOs expect widespread job displacement, they remain "optimistic about AI's potential to drive business value." This is corporate-speak for "we know this is going to hurt a lot of people, but have you seen our projected quarterly earnings?" It's the executive equivalent of a doctor telling you that your surgery has a 50% mortality rate but the hospital's profit margins look fantastic.
Meanwhile, the same executives continue to evangelize about AI's transformative power at conferences where they charge $3,000 for admission and serve sustainable quinoa bowls. They speak earnestly about "navigating the transition thoughtfully" while their companies quietly eliminate training budgets and freeze hiring in preparation for their algorithmic workforce. It's like watching someone carefully plan the most considerate possible home invasion.
The reality is that most of these AI implementations aren't replacing jobs with better jobs or freeing humans for creative work. They're replacing $45,000-a-year customer service representatives with chatbots that can't actually resolve problems, $60,000-a-year content writers with language models that produce confident-sounding nonsense, and $75,000-a-year analysts with systems that generate reports nobody reads. The "higher-value work" employees are supposedly being freed up to do remains mysteriously undefined, like a corporate version of Waiting for Godot.
This isn't to say AI advancement is inherently evil or that automation never creates value. The technology itself is genuinely impressive, and some applications genuinely do augment human capabilities rather than replace them. The problem is the corporate implementation, which approaches AI adoption with all the nuance of a sledgehammer and all the social responsibility of a casino owner. When your primary metric is cost reduction and your timeline is the next earnings call, human impact becomes what economists politely call an "externality."
So here we are, watching CEOs express surprise that their labor-replacement technology might replace labor, like a generation of corporate leaders who somehow missed every science fiction movie ever made. At least they're finally being honest about it. That's something, even if it's the kind of honesty that arrives after the checks have been cashed and the pink slips printed.