US Tech Layoffs Reach Two-Year High as AI Becomes Primary Driver of Job Cuts

The U.S. tech industry is cutting jobs at the fastest pace in nearly two years even as companies pour more money into artificial intelligence, and one possible silver lining is that the losses may accelerate a broader shift toward more productive work rather than simply signal a permanent collapse in hiring. Bloomberg reports that technology firms announced the most job cuts in May in almost two years, while Challenger data show AI has become the top reason companies cite for layoffs so far in 2026, accounting for 40% of cuts in May alone.

That tension is visible in comments from Verizon’s chief executive, Dan Schulman, who said AI could replace “a large percentage” of the company’s customer service workforce. According to Bloomberg, Schulman said the technology is well suited to routine requests such as billing questions, but also suggested human workers will still be needed for many cases, with AI and people working together to satisfy customer demands. The message reflects a growing pattern across corporate America: companies are using AI not just to automate tasks, but to redesign entire functions.

The result has been a wave of layoffs that is being tied, at least in part, to the technology itself. Challenger’s data suggest AI is now the most frequently cited explanation for job cuts in 2026, reinforcing the view that companies are moving faster to replace or reshape roles as the technology matures. At the same time, some observers caution that AI is not the only factor behind the cuts, with broader cost pressures, weak business performance and restructuring also playing a role.

Still, the labor-market picture is more nuanced than a simple story of machines replacing workers. Research from MIT Sloan has found that AI often affects specific tasks rather than whole occupations, and that when automation frees workers from repetitive work, companies can become more productive and even expand hiring in other areas. The study found that firms using AI extensively tend to grow faster, generate more sales and, in some cases, support employment gains because automation boosts efficiency.

That helps explain the “silver lining” many executives and economists see in the current shakeout: the same technology driving layoffs may also be creating the conditions for new roles, higher output and faster-growing firms. For workers, though, the transition is likely to be uneven, with customer service, support and other routine office functions among the most exposed in the near term.

The stakes are especially high for new graduates and job seekers entering a market where companies are still experimenting with how far AI can go. As reported by Bloomberg and other outlets tracking the trend, the current round of cuts suggests the technology is no longer a distant promise in boardrooms; it is already reshaping staffing decisions, investment priorities and the kinds of jobs companies are willing to keep.