AI isn't driving tech layoffs — it's just a convenient scapegoat

Blaming job cuts on poor management tanks your stock, but blaming them on cutting-edge AI makes Wall Street cheer.

That dynamic is playing out across the tech industry right now. While headlines warn that generative AI is coming for everyone's job, a closer look at the corporate bloodbath suggests the technology isn't actually replacing that many workers yet. Instead, it has become the ultimate corporate scapegoat.

A convenient cover story

Duolingo cut 10% of its contractor workforce in January. A company spokesperson told Bloomberg that they simply did not need as many people for that type of work, adding that part of it could be attributed to AI, even if it was not a straight replacement.

A month earlier, Swedish fintech Klarna froze hiring altogether, with its CEO claiming AI would pick up the slack from natural employee attrition.

Fabian Stephany, an AI lecturer at the Oxford Internet Institute, calls fighting against robots a nice cover story. In reality, he argues, these moves are driven by old-school economic pressures, like outsourcing or cutting overhead to fund salaries elsewhere.

Fears are certainly high. A Gallup survey from last summer showed that 72% of Fortune 500 chief human resources officers expect AI to replace jobs at their companies within three years. Yet tangible evidence of widespread, direct displacement remains thin. Even when Google saw anxiety in its ad sales division over automated ad-buying tools before a round of layoffs, a company spokesperson insisted the reorganization was unrelated to AI.

Where the budget actually goes

Workers are not necessarily losing their desks to automated scripts. They are losing them to the massive capital requirements of the AI arms race.

Tech companies are aggressively pivoting their spending. SAP recently announced a major restructuring affecting roughly 8,000 roles specifically to refocus on AI. Wedbush analyst Dan Ives told CNBC that cuts will likely persist as firms shift budgets toward AI, where hiring elite talent is brutally expensive and competitive.

To afford multimillion-dollar talent packages and soaring infrastructure costs, executives are trimming headcount in mature, non-AI departments. When Duolingo followed up on its contractor cuts, it clarified that projects had simply wrapped up or shifted due to new internal workflows, noting they tried to reassign workers before letting them go.

Why it matters

For tech workers and contractors, this means you can stop panicking about a chatbot doing your exact job tomorrow. The immediate threat is not that AI is smarter than you; it is that your employer wants to take your salary and spend it on GPUs and machine learning researchers.

Across the industry, this trend accelerates a zero-sum budget environment. Legacy teams and secondary projects will face relentless pressure to justify their existence, as every dollar not tied to AI strategy is viewed by executives as wasted capital.

We think invoking AI as an explanation for layoffs is a clever narrative trick for quarterly earnings calls, but a risky management crutch. It lets leadership dodge accountability for overhiring and strategic missteps, while creating the dangerous illusion that messy human workflows can be painlessly automated overnight.