There's a new playbook in corporate America, and it goes like this: hire too many people during a boom cycle, realize your revenue can't support your headcount, cut thousands of workers, and tell investors you did it because of AI. The market rewards you, the narrative flatters you, and the people who lost their jobs become props in a story about technological progress that isn't actually happening at the scale being claimed.
The term for this is "AI-washing" — and according to a growing body of research from Oxford Economics, Forrester, and Wharton, it's becoming one of the defining corporate behaviors of 2025 and 2026.
In January 2026, Oxford Economics published a briefing that cut through the narrative with unusual directness. Their conclusion: companies are not replacing workers with AI on a significant scale. The macroeconomic data doesn't support the idea of structural employment shifts caused by automation. Instead, what's happening is far more mundane — companies that over-hired during pandemic-era growth are correcting their workforce, and AI provides a convenient framing.
The motivation is transparent. Attributing layoffs to AI adoption conveys what researchers describe as a "more positive message to investors" than admitting to weak consumer demand, excessive past hiring, or plain old business underperformance. Announcing that you're cutting jobs because your AI strategy demands leaner teams sounds visionary. Announcing that you hired 40% more people than you needed in 2021 sounds incompetent.
- Oxford Economics (January 2026)Companies are "trying to dress up layoffs as a good news story rather than bad news, such as past over-hiring."
- Forrester (January 2026)Many companies announcing AI-related layoffs "do not have mature, vetted AI applications ready to fill those roles."
- Wharton / Prof. Peter CappelliDocumented cases of companies announcing "phantom layoffs" that never occurred — simply to capture positive stock market reactions.
- Brookings InstitutionCalling layoffs AI-driven is a "very investor-friendly message," especially when the alternative is admitting "the business is ailing."
The New York Times reported on this trend in early 2026, noting that AI was the stated reason for more than 50,000 layoffs in 2025 alone. The article highlighted the disconnect between the narrative and reality: companies claiming AI-driven efficiency while simultaneously lacking the AI infrastructure to actually replace the workers they're cutting.
There's a particularly cynical feedback loop at work here. Companies raise capital by promising AI transformation. They hire aggressively to build that AI. The AI doesn't generate enough revenue to justify the team. They lay off workers and cite AI as the reason — implying the AI is so effective it replaced those workers. Investors read that as progress. The stock goes up. The cycle continues.
I use AI every single day to build and operate PropTechUSA.ai and Local Home Buyers USA. AI is genuinely transformative for small teams and lean operations. But the transformation isn't about replacing workers — it's about never needing to hire them in the first place. There's a difference between a founder using AI to do the work of ten people from day one and a Fortune 500 company cutting ten thousand workers and pretending AI made the decision.
The first is real efficiency. The second is narrative management for a bubble that hasn't popped yet.
When companies tell you they're cutting jobs because of AI, ask a simple question: show me the AI that's doing those jobs now. In most cases, the answer is silence — because it doesn't exist. The jobs are just gone, and AI is the story they're telling about why.