The number, as of this writing, is 57,606. That is how many technology workers have lost their jobs in 2026, across 185 companies, according to the layoff tracker TrueUp. The figure has been climbing steadily since January, when 39,000 cuts were logged in the first six weeks alone — a pace that, if sustained, would exceed last year's 245,000 total. The pace has not slowed. [1]

What distinguishes the 2026 layoffs from their 2023 and 2024 predecessors is the stated rationale. In the earlier rounds, companies blamed pandemic-era overhiring — a plausible explanation for workforces that had doubled or tripled during the remote-work surge. By 2026, the justification has shifted. More than 9,200 of this year's cuts have been explicitly linked to AI and automation, according to TrueUp's categorization. That is roughly one in six. [1]

Block's February announcement was the starkest example. Jack Dorsey's fintech company eliminated more than 4,000 positions — approximately half its workforce — with leadership citing a need to "move faster with AI." The language was notable for its directness. Previous rounds of layoffs dressed up the same decision in euphemism: "organizational realignment," "efficiency measures," "right-sizing." Block said it was replacing human workers with artificial intelligence and did not pretend otherwise. [2]

The geographic concentration tells its own story. Seattle and San Francisco remain the hardest hit, with both metro areas accounting for a disproportionate share of the layoffs relative to their share of the national tech workforce. These cities built their economies around the very companies now shedding headcount. The secondary effects — on commercial real estate, local tax revenue, the service economies that exist to feed and house and transport tech workers — are accumulating in ways that municipal budgets will feel for years. [2]

The industry's paradox deepens by the week. OpenAI announced Saturday that it plans to nearly double its headcount to 8,000 by year's end. Anthropic is hiring aggressively. The companies building the AI that replaces workers are themselves hiring at furious rates. The net effect is a redistribution of labor within tech — away from mid-level roles in mature companies and toward specialized positions at AI firms — rather than a net reduction. But the workers being hired at OpenAI are not, for the most part, the workers being laid off at Block. The skills, the compensation, and the locations do not match. [1]

The broader pattern is one the technology industry has produced before but never at this speed: a rapid shift in which the value of certain human capabilities declines while the demand for others explodes, and the transition period is measured in months rather than decades. Previous technology shifts — the move from mainframes to PCs, from desktops to mobile — created displacement that unfolded over years. AI-driven restructuring operates on quarterly earnings cycles. A company can announce an AI strategy and begin layoffs in the same press release.

Fifty-seven thousand is a number that fits in a headline. It does not fit in a unemployment office.

-- DAVID CHEN, Beijing