AI‑Driven Layoffs Cut U.S. Middle‑Manager Openings by 42%

Tech companies are investing heavily in artificial intelligence while trimming staff. They say AI lets them do more with fewer workers, prompting them to remove layers they call unnecessary management. This push to flatten organizations is spreading beyond pure tech firms. Recent layoffs at Amazon, Block and Meta show a similar pattern, with tens of thousands of jobs cut and a focus on removing management layers. These firms report that AI tools now handle tasks once done by supervisors, such as scheduling shifts or reviewing performance metrics. As a result, the span of control for remaining managers has grown, sometimes exceeding one hundred direct reports in extreme cases.

According to workforce data, middle‑manager openings in the United States fell 42% by the close of 2025 relative to the 2022 high. Coinbase announced a layoff of 14% of its employees, explicitly citing AI‑driven efficiency as a motive. Emily Rose McRae, an analyst at Gartner, warned that middle managers will face significantly increased pressure as their roles expand.

Managers now often supervise more direct reports while also contributing individual work, such as writing code or drafting documents. Many are turning to AI agents to handle routine updates, shifting communication from real‑time meetings to asynchronous exchanges. While this can speed up decision‑making, it also reduces face‑to‑time that supports mentorship and human judgment, potentially creating new bottlenecks. Critics warn that overreliance on AI for managerial judgments could introduce errors that propagate through teams. The trend suggests a lasting reshaping of supervisory roles across industries.