Why are we seeing more tech layoffs despite the massive boom in AI growth?

All answers to this question.

It’s a complex situation where AI is both a catalyst and a scapegoat. Many firms are "AI-washing" their layoffs—using the technology as a convenient excuse for cost-cutting driven by high interest rates and post-pandemic overhiring. While AI and Deep Learning tools are automating repetitive coding and administrative tasks, the primary driver is a strategic pivot. Companies are shifting their capital away from "legacy" projects and pouring billions into GPU clusters and AI infrastructure. They aren't necessarily replacing humans with robots; they are firing people in one department to hire specialized engineers in another.

   Answered 2025-03-15 by Lauren Sinclair

Do you think the current layoffs are a permanent downsizing of the industry or just a temporary correction while firms figure out their AI roadmap?

   Answered 2025-03-20 by Tyler Higgins

• Tyler, I believe it’s a permanent shift in the type of roles available. We aren't going back to the mass-hiring of generalist developers we saw in 2021. The bar for entry-level roles has been raised significantly because AI and Deep Learning can now handle the "boilerplate" work that juniors used to do. It’s a structural evolution where efficiency is now prioritized over raw headcount.

     Commented 2025-03-25 by Randall Scott

It’s mostly about satisfying investors. If a CEO mentions "AI efficiency" and "leaner operations" in an earnings call, the stock price usually jumps.

   Answered 2025-04-02 by Monica Greer

• Spot on, Monica. Investor pressure is a huge factor. They want to see high margins, and cutting labor while investing in AI and Deep Learning sounds like the perfect "future-proof" strategy to Wall Street.

     Commented 2025-04-05 by Jordan Miller