136,000 Jobs Gone — Big Tech Layoffs Continue Despite the AI Boom

The paradox is hard to ignore. Google, Amazon, Meta, and Microsoft will collectively spend $725 billion on AI infrastructure in 2026 — up 77% from the year before. And yet, as of mid-May 2026, over 135,700 tech workers have already lost their jobs this year, a pace moving faster than all of 2025. LinkedIn, Snap, Cisco, Disney, Nike — names once considered safe from tech-sector turbulence — are now all on the list.

That’s not a contradiction. That might be the whole point.

The Full Company-by-Company List

The wave of cuts reads like a roll call of the entire industry — not just the obvious giants:

• Amazon cut nearly 30,000 corporate roles across multiple rounds — 14,000 in October 2025, followed by 16,000 more in January 2026 — while simultaneously reporting AWS growth of 24%, its fastest in 13 quarters.
• Meta announced 8,000 cuts (10% of its workforce) effective May 20, with recruiting and HR absorbing 35–40% of losses. It also closed 6,000 open roles that will never be filled.
• Oracle eliminated up to 30,000 positions — roughly 20% of its global workforce — targeting legacy database administrators and on-premises support teams.
• Microsoft offered a first-ever voluntary buyout to ~7% of its U.S. workforce, open to employees whose age and company tenure combine to 70 or more.
• LinkedIn announced plans to cut 5% of staff — approximately 875 employees — even as revenue grew 12% in the latest quarter. Teams are being reorganised toward stronger-growth business segments.
• Snap slashed 1,000 jobs (16% of its total workforce) and closed 300 open roles, citing AI efficiency. CEO Evan Spiegel noted that “small squads leveraging AI tools” are driving progress that once needed much larger teams. The company expects to save over $500 million annually by H2 2026.
• Cisco cut just under 4,000 jobs in Q4, redirecting resources toward AI, silicon, optics, and security.
• Atlassian cut 1,600 employees — 10% of its workforce — explicitly citing the “AI era,” while sparing those with “transferable skills.”
• Disney laid off 1,000 employees under new CEO Josh D’Amaro, just two months into his tenure, as part of a push toward operational efficiency.
• Nike cut 1,400 roles, the majority in technology and global operations.
• Coinbase announced 700 layoffs — about 14% of staff — with CEO Brian Armstrong citing AI as fundamentally changing how the company operates.
• IBM confirmed AI agents had already replaced hundreds of back-office roles, with further cuts underway as it shifts talent toward AI and quantum computing.
• HP let go of approximately 6,000 employees in late 2025, tying the move directly to automation and AI-driven productivity efforts.
• TCS (Tata Consultancy Services) announced plans to cut approximately 12,000 jobs (~2% of its workforce), primarily targeting middle and senior management.

March 2026 alone saw nearly 50,000 workers affected — the worst single month on record this cycle. April brought another 18,000. We’re not yet through May.

The full-year 2025 figure was 245,000 tech workers laid off. 2026 is on track to match or exceed it. According to outplacement firm Challenger, Gray & Christmas, tech led all private sectors in layoff announcements last year — up 15% from the year before.

”AI Did It” — But Did It?

Corporate announcements have been remarkably consistent in their framing. Salesforce CEO Marc Benioff, announcing 4,000 customer support eliminations, said simply: “I need less heads.” Snap cited “rapid advancements” in AI enabling teams to “reduce repetitive work.” Atlassian’s CEO framed it as restructuring for a new era. Meta’s chief people officer called it about “efficiency and productivity.”

The narrative is clean: AI is making human labour replaceable, and responsible management demands adjustment.

The evidence, however, is messier.

Research from Anthropic published earlier this year found that although many work tasks are susceptible to automation, the vast majority are still performed predominantly by humans. A Harvard Business Review report went further, suggesting companies have been laying off employees because of AI’s potential rather than its proven performance — a subtle but important distinction.

Some analysts have begun calling this “AI-washing”: the practice of framing routine cost-cutting decisions in the language of technological inevitability, giving investors a tidy story that sounds like strategy rather than austerity. Economist Desmond Lachman put it plainly: “The real question is not whether AI will disrupt the labour market but rather at what pace this will occur.”

The Labour Repricing Story Nobody Talks About

One Bloomberg dataset throws cold water on the simplest version of the AI-displacement story: roughly half of AI-attributed layoffs will result in the same roles being rehired — offshore or at lower salaries.

That’s not a technological revolution. That’s labour arbitrage with better branding.

Meanwhile, the human cost is real and deepening. Senior engineers who lost jobs at Salesforce, Intel, and Workday are searching at the highest rates since the 2022 wave. The median time-to-hire in the Bay Area has stretched from 38 days in Q3 2025 to 67 days in Q1 2026. In the tech sector, U.S. workers in their 20s in AI-exposed occupations saw unemployment rise by almost 3% in the first half of 2025 alone.

The skills gap compounds the problem. 275,000 AI jobs currently sit open while laid-off workers often can’t cross the divide to fill them. The money is going into compute. The people are going to LinkedIn — which is, itself, now cutting jobs.

What’s Actually Driving the Cuts?

The honest answer involves at least three overlapping forces:

1. Overhiring hangover. Tech companies went on extraordinary hiring sprees during the pandemic-era boom. As demand for online services normalized, they found themselves staffed for a company larger than the one they turned out to be. Unwinding that is painful, but it’s not AI — it’s arithmetic.

2. Balance-sheet physics. Training clusters, inference capacity, power, land, and fibre are ferociously expensive. When capital expenditure balloons by 77% in a single year, something has to give. Headcount is one of the few levers large companies can pull quickly — and framing those cuts as “funding our AI future” plays well in earnings calls.

3. Real, but targeted, AI displacement. This one is genuine — just more limited than the headlines imply. Roles in customer support, documentation, back-office operations, and routine data processing are being automated in meaningful numbers. Canva quietly removed technical writing positions as generative AI took over documentation. IBM replaced entire back-office functions with agents. Snap restructured specifically to run on smaller, AI-augmented squads. These are real jobs, gone for real AI-related reasons.

The picture that emerges is less “the machines took our jobs” and more a flattening of the traditional workplace pyramid: fewer junior employees for routine work, more value placed on experienced professionals who can deploy AI effectively.

A Skills Premium That’s Growing

Here’s the counterintuitive data point buried in the doom: wages in AI-exposed industries are rising roughly twice as fast as in sectors least touched by the technology. Workers with AI skills command an average wage premium of about 56% across industries analysed by PwC.

Employment is still growing in most AI-exposed industries — growth is just slower than in less-exposed sectors. The demand for people who can build reliable systems with AI in the loop — handling security, evaluation, data governance, product judgment — is not going away on any quarterly cadence.

The Question That Remains

The real test is still ahead: will the AI jobs being created ever absorb, at comparable wages, the volume of roles being permanently retired?

Meta’s 8,000 cuts begin this week. Microsoft’s buyout program is still settling. Oracle’s restructuring is ongoing. LinkedIn’s affected employees are just being notified. The number will go up before it reverses.

What’s clear is that the age of consequence-free tech hiring is over. What’s less clear is whether the consequence falls on shareholders rebalancing their portfolios — or on the engineer in Seattle, the support specialist in Austin, the product manager in London — all of whom got a notice and are now months into a job search with no end in sight.

The same quarter can sound, in official language, like both a diet and an arms race. For the people caught in the middle, it mostly just sounds like silence.

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Sources: Yahoo Tech / TrueUp, The Next Web, Newsweek, Storyboard18, Invezz, The Conversation, FinalRoundAI, Programs.com, Washington Post