The tech industry cut nearly 78,557 jobs in the first quarter of 2026, and almost half of those cuts - 47.9%, according to data compiled by Nikkei Asia - have been officially attributed to AI and workflow automation. Over 76% of the affected positions were in the United States. It's a striking data point, and one that's generating strong opinions on both sides of the debate about what AI is actually doing to the workforce.
Real Displacement or Corporate Cover?
The honest answer is: probably both. Cognizant Chief AI Officer Babak Hodjat offered one of the more measured takes, suggesting that many companies are using AI as a convenient scapegoat for decisions they would have made anyway. "Sometimes, you know, AI becomes the scapegoat from a financial perspective, like when a company hired too many, or they want to resize, and it gets blamed on AI," he said. OpenAI CEO Sam Altman echoed this at the India AI Impact Summit, acknowledging that some "AI washing" is happening - companies citing the technology to explain away layoffs that have little to do with it.
That doesn't mean AI-driven job losses aren't real, though. A Stanford study found entry-level coding and customer service roles are already being affected. An MIT simulation estimated that AI could replace nearly 12% of the U.S. workforce, representing close to $1.2 trillion in lost salaries. Anthropic CEO Dario Amodei and Ford CEO Jim Farley have both publicly warned that AI will eventually wipe out half of entry-level white-collar jobs in the country. Hodjat himself acknowledged that genuine AI-driven displacement is coming, but said it would take another six to twelve months before companies start seeing real productivity gains from the technology.
Oracle, IBM, and the Split in Strategy...
Oracle recently cut more than 10,000 positions across multiple divisions, with the savings reportedly redirected toward data center funding - a pattern consistent with the broader tech sector pivot from headcount to infrastructure. The company hasn't said much publicly about the reasoning behind those cuts.
IBM is taking the opposite approach. Despite the pressure to automate entry-level work, the company has reportedly tripled its entry-level hiring in 2026, arguing that AI tools still need human judgment to be effective in real-world settings. Cognizant, whose outsourcing business relies heavily on human labor, has also said it doesn't plan to reduce headcount in response to AI - instead investing in new AI labs in San Francisco and Bengaluru, and training existing staff to work alongside the tools rather than be replaced by them.
The Hidden Cost...
Several analysts have pointed to a risk that tends to get lost in the efficiency math: cutting entry-level positions destroys the pipeline that produces experienced workers. Mid-level managers and senior contributors don't appear out of nowhere - they grow through the kind of on-the-job learning that entry-level roles provide. Companies optimizing for short-term savings may end up with a skills shortage in five years that's harder to fix than any quarterly report.
Even in Europe, where data has shown that companies deploying AI tend to hire more people overall, the transition is far from painless. The consensus is that displacement is real, uneven, and accelerating - even if the exact scale remains difficult to pin down.
Whether AI is the cause, the excuse, or somewhere in between, the Q1 2026 numbers make one thing clear: the workforce reckoning that researchers have been forecasting for years is no longer hypothetical.
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Author: Blake Taylor
New York News Desk