Microsoft said last week that it would eliminate about 4,800 jobs, a cut that lands even as the company remains profitable and keeps pouring money into AI. The move adds another round to a layoff pattern that has now rippled through major tech companies for several years.
That is why the search interest is spiking today: investors and workers are reading the same signal from different directions. Profits are still coming in, but companies are using them to fund AI and trim labor at the same time, leaving employees to absorb the cost of the shift. Amazon and Meta have been part of the same cycle, and the message from executives is consistent — the money is going where they think the next phase of growth will be.
The scale of that change shows up in the numbers. Cloudflare eliminated more than 20% of its workforce in May, while Cisco said in the same month that it would cut nearly 5% of its workforce even after reporting record revenue for its fiscal third quarter. Matthew Prince, in a op-ed after those layoffs, said his firm had not seen another US public company cut as deeply while growing by more than 30%, and added that what his company did is likely to become the norm over the next year. That is a blunt measure of how quickly the industry’s rules are changing.
The shift is also showing up in the way executives talk. Mentions of layoffs alongside AI on corporate conference calls have climbed from fewer than five per quarter in 2022 to more than 100 per quarter this year, according to an AlphaSense analysis of calls across industries. Chuck Robbins has said the firms that will win in the AI era are those with the discipline to continuously shift investment toward areas with the greatest long-term potential. In practice, that often means cutting work tied to older priorities and redirecting people toward AI-related projects, automation and other reorganized tasks.
But the story is not as clean as the rhetoric. Microsoft said its latest cuts are not related to AI, and Amazon has said AI has not been the reason for the vast majority of its cuts over the past two years. A Meta spokesperson pointed to a May statement saying changes varied by team and included moving thousands of workers to other priorities. Some firms in the information sector are also pulling back after the intense hiring wave of the pandemic, which means not every layoff can be pinned on AI alone.
Joseph Fuller of Harvard Business School has argued that companies have spent roughly the last quarter-century relentlessly cutting costs, leaving relatively little fat left to trim, and that they still do not know how AI will play out because many tools are not fully developed. That makes the next phase less like a single wave of layoffs and more like a series of smaller, recurring cuts as firms test how much work can be automated, how much can be moved, and how much can simply be done with fewer people. For employees, the immediate question is no longer whether the industry will keep shrinking in bursts, but how long this new rhythm of layoff and reinvestment will last.
