Tech companies have laid off over 142,000 people in 2026 alone, with executives explicitly citing AI as the reason. Wix just cut 20% of its workforce, blaming AI and exchange rates. The automation wave companies promised is here - and it's starting with the industry that built it.
The irony is almost too perfect. Tech workers built the AI that's now replacing them.
But the real story isn't automation. It's executives using AI as cover for cost-cutting they wanted to do anyway. The technology is impressive. The question is whether it's actually doing the jobs - or just providing a convenient excuse.
Avishai Abrahami, Wix's CEO, framed the cuts as necessary because AI is making the company more efficient. But efficiency is a euphemism. What he means is: we can do the same work with fewer people, and AI gives us political cover to make the cuts we wanted for financial reasons.
This is happening across the industry. Meta, LinkedIn, Cisco, and dozens of other companies are all singing from the same playbook. Announce layoffs. Cite AI transformation. Promise the remaining employees that this is about staying competitive in the AI era, not about quarterly earnings.
But here's what's actually happening: companies are cutting costs to fund AI infrastructure spending while investor pressure mounts to show profitability. The layoffs aren't because AI is productive. They're because AI is expensive, and something has to give.
The math doesn't work the way executives are selling it. If AI was genuinely replacing workers at scale with equivalent or better output, we'd see productivity metrics exploding. We'd see companies doing more with less, shipping faster, serving more customers, generating more revenue per employee.
Instead, we're seeing companies cutting headcount while AI costs soar and revenue growth stalls.
For the workers getting cut, the distinction doesn't matter. Whether you're replaced by AI or laid off to fund AI investments, you're still unemployed. But for the industry, the difference is crucial. Because if we're not actually seeing productivity gains, we're just burning through human capital to chase hype.
There's a secondary effect that nobody's talking about: institutional knowledge loss. When you cut 20% of your workforce, you don't just lose bodies. You lose the people who know how the legacy systems work, why certain decisions were made, and how to navigate the organization.
