Tech Layoffs Hit 139,004 in 2026, Already Topping 2025's Total

Technology companies have laid off 139,004 employees at 345 companies so far in 2026, already exceeding the 122,606 layoffs recorded across all of 2025, according to data compiled by Layoffs.fyi and reported by Computerworld. The running tally covers everything from Canva's November restructuring to Oracle's repeated rounds of cuts, and it is being updated as new layoffs are announced.

What Happened

According to Computerworld's 2026 timeline, the year's cuts span nearly every segment of the industry. Canva laid off 1,271 staff, 22% of its workforce, on November 3, flattening its org chart and consolidating product, growth, and platform teams into a single division while requiring more in-office time in Sydney. Oracle began a fresh wave of terminations on September 15, disclosing a further $700 million in restructuring charges in a regulatory filing, bringing its total charges for the year to roughly $2.8 billion, on top of an earlier round that CNBC put at 21,000 jobs after Oracle initially warned of cuts of up to 30,000.

Monday.com cut 620 jobs, or 20% of its workforce, on July 22, describing the move as a restructuring around AI agents and autonomous teams rather than a margin problem. Microsoft cut 4,800 jobs on July 6, mostly in sales and Xbox, after offering 8,750 US employees voluntary retirement buyouts weeks earlier. Meta cut 8,000 jobs, about 10% of its workforce, on May 20, hitting engineering and product teams hardest as the company pivots toward AI efficiency, Computerworld reported, citing Yahoo Tech.

Perhaps the starkest example came from Cisco, which announced on May 13 that it would eliminate nearly 4,000 jobs despite reporting record third-quarter revenue of $15.8 billion, a 12% year-over-year increase. Cloudflare cut 1,100 jobs, about 20% of its global workforce, on May 7 as part of what Reuters described as an agentic AI restructuring. Atlassian eliminated 1,600 roles, around 10% of its workforce, on March 12 to redirect capital toward AI development. Amazon confirmed 16,000 job cuts on January 28 in an email from HR leader Beth Galetti, with AWS and tech talent expected to bear the brunt. Ericsson said on January 15 it would cut 1,600 jobs in Sweden as part of ongoing cost-saving measures.

Computerworld also cited separate research from Challenger, Gray & Christmas showing the tech industry cut 38,242 jobs in May alone, the worst monthly total since 2024, with AI blamed for 40% of those cuts, up sharply from just 7% in January. An earlier analysis by RationalFX, also cited in the timeline, found 45,363 job cuts globally by March 11, with roughly 68%, or more than 30,000, occurring in the United States.

Why It Matters

The pattern across these cuts is that profitability is no longer a shield against layoffs. Cisco's record quarter did not stop nearly 4,000 job eliminations, and Computerworld's broader 2026 list repeatedly notes companies restructuring even as they report strong revenue growth. That decoupling of financial health from headcount is the clearest signal in this data set: executives are treating AI-driven reorganization as a standing strategy rather than a response to distress.

MachineHours analysis of its own AI Acceleration Index reinforces this read. The index's employment sub-score sits at just 18 out of 100 as of November 2, 2026, the lowest of six tracked components, compared with 56 for compute and 62 for capability. Capital and technical capacity are expanding far faster than any corresponding labor benefit is materializing, at least by this measure.

The Challenger, Gray & Christmas trend line, AI's share of cited layoff reasons jumping from 7% to 40% in five months, suggests companies are growing more comfortable naming AI publicly as a factor, even when, as with Canva, executives avoid saying so explicitly in layoff announcements themselves.

What to Watch

The next few months will show whether the pace recorded by Layoffs.fyi continues to accelerate past 2025's full-year total or begins to plateau. Computerworld's timeline is updated regularly, and the gap between 139,004 and 122,606 is likely to widen further before year-end given Oracle's ongoing restructuring and the possibility of additional rounds at companies already named in the 2026 list. Watch also for whether Challenger, Gray & Christmas data for later months shows AI's share of cited causes climbing beyond 40%, and whether MachineHours' employment sub-score moves from its current reading of 18 as the AI buildout matures.

Further Reading and Context

MachineHours' analysis of the $500 billion data center capex build examines the spending side of this equation, where hyperscaler infrastructure commitments continue to outpace enterprise AI revenue even as headcount is reduced.

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