Tech Companies Turn to Repeated Layoffs as AI Investments Grow
Major technology firms are increasingly using periodic workforce reductions to manage costs while expanding AI spending, a trend analysts say may become routine.
Microsoft announced a reduction of roughly 4,800 jobs, adding to a series of layoffs across the technology sector that includes Amazon, Meta, Cloudflare and Cisco. The cuts come as these companies remain profitable and allocate larger budgets to artificial-intelligence projects.
Cloudflare eliminated more than 20% of its staff in May, and its chief executive Matthew Prince wrote in a Wall Street Journal op-ed that such reductions could become the norm over the next year. Cisco, after reporting record revenue for its fiscal third quarter, said it would cut nearly 5% of its workforce, with CEO Chuck Robbins noting that success in the AI era will require continual reallocation of investment toward high-potential areas.
Analysis of corporate earnings calls shows references to layoffs and AI rising from fewer than five per quarter in 2022 to over 100 per quarter this year, according to data from AlphaSense. While Microsoft and Amazon have stated that recent cuts are not directly linked to AI, executives acknowledge that automation and efficiency gains are influencing restructuring decisions.
Harvard Business School professor Joseph Fuller expects firms to make smaller, recurring adjustments rather than large, one-off layoffs, describing the approach as “continuous tuning.” He cites decades of cost-cutting that have left little excess capacity and the uncertainty surrounding AI’s impact as drivers of this pattern.
Industry observers also point to a shortage of AI-savvy talent. Andela CEO Carrol Chang said boards are pressuring managers to show productivity gains without dramatically increasing spending on AI tools, while truly AI-fluent workers remain scarce and expensive. She suggested that upskilling existing staff may be more effective than assuming immediate replacement by AI.
The human impact of the trend is evident. A former Meta data scientist described the period before a layoff as “28 days of hell,” while another laid-off employee said the eventual announcement felt “more like relief than pain.”
Economists warn that repeated cycles of layoffs and rehiring can be costly. Stanford professor Jeffrey Pfeffer noted that severance, recruiting and training expenses, along with the loss of institutional knowledge, may outweigh short-term savings. Fuller added that as AI takes on more tasks, companies will still need employees with deep contextual understanding of their operations and markets.