The number just crossed 100,000.

As of April 20, 2026, at least 99,283 tech workers have been laid off across 146 separate events, according to SkillSyncer. TrueUp, which tracks a broader set of companies, puts the figure at 95,878 across 249 layoffs. Either way, the rate is accelerating: 864 people per day in 2026, a 31% daily increase over the same period in 2025. And Meta has not even started yet. Its 8,000-person cut is scheduled for May 20.

But the numbers alone do not tell the story. Slate just published what may be the most devastating first-person investigation of the tech labor market collapse, and it reads like an obituary for an entire professional class.

The Golden Era Is Over

The writer, a former Meta content strategist laid off in February 2025 after nearly six years, describes a job market that has fundamentally broken. More than 1.2 million people have been laid off in tech since 2022, according to TrueUp. Recruiters who once messaged weekly have gone silent. One hundred applications to roles she was qualified for produced three interviews in over a year.

She is not alone. A technical recruiter laid off in March 2024 has held two short-lived roles since, filling gaps with dog-sitting and paid content creation. A knowledge management professional laid off from Uber after nine years told Slate that both she and her wife lost tech jobs within months of each other, and their savings are running out. A seven-year Meta veteran had exactly two interviews in 15 months. One was for her old job, offered back as a contractor at half the pay with no benefits. The other was at Kohl's. Kohl's ghosted her.

"This is genuinely the worst tech job market in decades," Roger Lee, founder of Layoffs.fyi, told Slate. "And if the hiring slump persists for another year, this downturn will be the longest on record."

AI Is the Excuse. The Cuts Are Real.

Business Insider reported this week that at least nine major companies, including IBM and Salesforce, have explicitly cited AI efficiencies as justification for layoffs in 2026. A March report from Challenger, Gray, and Christmas found AI has been cited in 8% of all job cut plans this year. UKG just cut 950 jobs, 6% of its workforce. Oracle is shedding 30,000. Amazon cut 16,000.

But Fortune published a counter-narrative the same day: top HR leaders are warning that using AI as cover for mass layoffs is a "shortsighted strategy" that will backfire. The macro data remains confusing. Employers posted 178,000 new roles in March. Unemployment edged down to 4.3%. The layoffs have not yet shown up in the aggregate numbers, which means either the displaced workers are finding new roles quickly, or the statistical lag has not caught up.

The Slate investigation suggests the latter. When a former Meta content strategist with a decade of experience and a Big Tech pedigree cannot get past the first screening call, the mismatch between macro data and lived experience is not a statistical curiosity. It is a structural failure.

The Paradox Nobody Can Explain

AllWork Space identified the core contradiction: the United States is heading toward a meaningful labor shortage by the early 2030s, driven by accelerating retirements and a smaller wave of younger workers entering the market. Companies are cutting jobs and running short of experienced people at the same time.

The explanation is not complicated. CEOs over-hired during COVID and are now cutting to improve efficiency metrics and fund AI infrastructure. The workers getting fired built the systems that generated the revenue that is now being redirected to buy GPUs. The workers who will be needed in five years are being discarded today because quarterly earnings reports reward headcount reduction.

Anthropic's own research found that AI threatens to automate roles in law, business, finance, and management. Those layoffs have not appeared yet. When they do, the 100,000 figure from tech alone will look quaint.

What Happens Next

Meta's May 20 layoffs will add another 8,000 to the count. At current pace, 2026 will surpass 2023's total well before year-end. The question is whether this is a correction or a permanent restructuring of how tech companies employ humans.

The Slate piece ends with the writer enrolling in graduate school and working part-time as a writing tutor. She spent 10 years building a career in content strategy. She was not replaced by AI. She was replaced by the idea of AI, which turned out to be a cheaper pitch to investors than the people who actually built the products.

Reporting sourced from Slate, SkillSyncer, TrueUp, Business Insider, Fortune, AllWork Space, and Challenger, Gray, and Christmas.