The defining feature of the 2026 layoff wave is not who is losing money, but who is not. By June 11, trackers had logged roughly 247 layoff events affecting close to 184,000 workers, and many of the firms doing the cutting are among the most profitable in technology. The first five months alone saw about 142,000 jobs eliminated, a third more than the same stretch of 2025, putting the year on pace for roughly 370,000 cuts.
Cutting to pay for compute
The pattern is unusually candid. Meta cut around 8,000 roles, about 10 percent of its workforce, on May 20, with management saying the reductions would help offset the substantial investments it is making. Intuit eliminated 3,000 positions, some 17 percent of its global headcount, the same day. Oracle carried out the single largest cut of the year at roughly 30,000 roles, and Cisco shed about 4,000. In each case the companies remain solidly in profit.
The $700bn line item
What those savings are funding is no secret. Amazon, Microsoft, Alphabet and Meta have together committed close to 700 billion dollars in capital spending for 2026, the bulk of it on AI data centres, chips and power. Individually the pledges are staggering: roughly 200 billion dollars at Amazon, 175 to 190 billion at Alphabet, about 190 billion at Microsoft and 125 to 145 billion at Meta. Trimming payroll is one of the few levers that moves fast enough to help cover bills of that size.
AI as the stated reason
Increasingly the firms say so out loud. Across 2026, about 55 percent of layoff events have explicitly cited AI, automation or machine learning, covering more than 152,000 workers at 135 companies. Cuts directly attributed to AI have reached close to 88,000 this year, already above the combined total for 2024 and 2025. Whether AI is a genuine cause or a convenient label for ordinary cost cutting, it is now the most common reason given.
The age divide
The damage is not spread evenly. Research from Stanford's Institute for Human Centered AI found that employment of software developers aged 22 to 25 has fallen nearly 20 percent since 2024, while developers aged 30 and older have seen their numbers grow. The rungs of the career ladder that AI tools most easily replicate, the junior and entry level work, are vanishing first, even inside the very companies building the technology.
A reallocation, not a collapse
Read together, the figures describe a reallocation rather than a meltdown. Capital is shifting from headcount to silicon, and the firms making that trade are betting the productivity gains will eventually justify it. For early career workers in particular, the worry is that the bet pays off for shareholders long before it pays off for them.
