Oxford Economics published the receipt: AI-related job cuts accounted for only 4.5% of US layoffs in the first 11 months of 2025. The remaining 245,000 layoffs in the same period were driven by ordinary market and economic conditions — nearly four times higher.
The story we've been told about engineers being replaced by software is mostly accounting in a costume.
The hiring manager survey
In December 2025, Resume.org surveyed 1,000 US hiring managers. Two numbers worth writing down:
- 59% admitted that AI framing in layoff announcements lands better with stakeholders than the actual reasons
- Only 9% said AI had actually replaced roles entirely
That is the gap between the layoffs that happened and the layoffs that were marketed.
The CEO disclosures
The most interesting receipts come from the people with the most to lose by speaking honestly.
Sam Altman, CEO of OpenAI, at the India AI Impact Summit (February 2026):
"I don't know what the exact percentage is, but there's some AI washing where people are blaming AI for layoffs that they would otherwise do."
The man whose company sells the technology being blamed for the layoffs. Calling it AI washing. In public.
Babak Hodjat, Chief AI Officer at Cognizant — a 100,000-person AI consulting firm — to Nikkei Asia (Q1 2026):
"AI becomes the scapegoat from a financial perspective, like when a company hired too many."
Two senior AI executives, separately, in separate venues, naming the same dynamic. Companies hired too many during the pandemic. The correction was due. AI is the story being told to explain it.
The actual mechanics
So if it isn't AI, what is it? Three drivers, none of them new.
1. The pandemic over-hiring correction never finished.
Big tech roughly doubled headcount between 2020 and 2022, on the assumption that remote-work demand would compound forever. It did not. The first wave of cuts came in late 2022. The second in 2023. The current wave is the third — and the cleanup still isn't done.
2. AI infrastructure capex is consuming the income statement.
The combined 2026 AI infrastructure spend across Alphabet, Microsoft, Meta, and Amazon is approaching $650 billion. That money has to come from somewhere. Payroll is one of the largest controllable costs in a software company. If you need to fund a data center the size of a small city, the math points to one place.
The companies aren't exactly lying when they say AI is the reason. The spend on AI is the reason. Not the model output.
3. Operating margin expansion is its own incentive.
A layoff framed as "strategic AI repositioning" gets a friendlier market reaction than the same layoff framed as "we missed a quarter." The framing isn't free. It moves the stock. That is its own incentive — the boring, mechanical kind that drives quarter after quarter of corporate communication.
What this changes for engineers
If your role was cut and you have spent the last few weeks assuming AI made you obsolete — the data says it almost certainly did not.
Oxford Economics gave the systemic number: 4.5% of layoffs were AI-related. 95.5% had other reasons. You did not lose your job to a machine. You lost your job to a financial decision wearing a machine costume.
The skill that got you hired is still the skill that gets you hired.
The harder truth: the hiring slowdown is real even where layoffs aren't dramatic. Roles aren't being backfilled. Open requisitions are being quietly closed. The job market for mid and senior engineers in 2026 is harder than it was in 2021. The reason is macro — capex is going into AI buildout, not headcount. Interest rates haven't come back down.
None of that is about your skill becoming obsolete. All of it is about the cost of capital in a different economy.
How to actually use this
Three concrete actions:
1. Read your company's earnings call, not its AI strategy post. The earnings call tells you what's actually driving cost decisions. The AI strategy post tells you what they want investors to believe.
2. Stop pre-discounting yourself in interviews. The companies cutting headcount are not cutting because AI got better at your job. They are cutting because the capital math changed. When the capital math shifts again, hiring will return — and the skill set will not have to be rebuilt from scratch.
3. Negotiate from a calmer position. If you internalize the AI replacement story, you panic and pivot into a defensive posture that doesn't match the actual threat. If you internalize the financial restructuring story, you negotiate with people, not with a fictional robot.
The data supports the second story. The CEO of OpenAI supports the second story. The Chief AI Officer of Cognizant supports the second story. Even Oxford Economics supports the second story.
4.5%. Not 99. The next time someone tells you AI took your job, ask them which study they read.
What is your team using to communicate AI-driven changes — actual data, or stakeholder optics?