In the first three months of 2026, over 61,000 tech employees were laid off — a 15% increase from the 52,000 figure reported just two weeks prior. Year-to-date estimates now exceed 85,000. This is the biggest wave of tech layoffs since the mass cuts of 2022–2023.
But this time, the narrative is different. Almost every company that cut jobs cited AI as the reason. Oracle is funding a $156 billion AI buildout. Block’s Jack Dorsey told employees that “intelligence tools” will replace their jobs. Dell is pivoting to AI servers. Meta is redirecting headcount from Reality Labs to AI.
The question is: how much of this is genuine AI replacement, and how much is old-fashioned cost-cutting dressed up in an AI narrative? The answer, as we’ll see, is both.
The Full 2026 AI Layoff Tracker
Every major tech layoff in Q1 2026, ranked by headcount impact. All cited AI as a primary or contributing factor.
| Company | Jobs Cut | % of Workforce | Date |
|---|---|---|---|
| Oracle | 20,000–30,000 | ~18% | Mar 31 |
| Amazon | 16,000 | — | Q1 |
| Dell | ~11,000 | ~10% | FY2026 |
| Block / Square | 4,000 | ~40% | Feb 26 |
| Meta | 1,500+ | — | Q1 |
| Broadcom | 1,200 | — | Q1 |
| Cisco | 700 | — | Q1 |
The Timeline
AI-Washing vs. Real Replacement
Bloomberg reported suspicions of “AI-washing” — companies using AI as a convenient cover for old-fashioned cost-cutting. The evidence is mixed, and the truth is uncomfortable for both sides of the debate.
The case for AI-washing
Block’s stock surging 24% after cutting 40% of its workforce tells you what Wall Street actually valued: not AI transformation, but cost reduction. Dorsey’s letter about “intelligence tools” gave the cuts a narrative, but the market priced it as a margin play. Fortune published “9 reasons AI isn’t going to take your job yet,” arguing that most companies are nowhere close to replacing humans with AI at the scale they claim.
The case for genuine replacement
But dismissing all of this as theater ignores real signals. Atlassian cut roles but announced 800 new AI-focused positions — a genuine reallocation, not just cuts. Dorsey’s memo was uncommonly specific: he predicted that “most companies will reach the same conclusion within a year.” That’s not vague corporate speak. It’s a thesis about the future of work.
44% of hiring managers now anticipate AI will be the top driver of layoffs this year. Whether the current wave is fully justified by AI capabilities or not, the belief system is real — and belief drives action.
The honest answer
Both things are true simultaneously. Some companies are genuinely replacing roles with AI. Others are using AI as a convenient narrative for cost-cutting they would have done anyway. And most are doing a bit of both — real automation in some areas, narrative cover in others. The uncomfortable truth is that it doesn’t matter much to the 61,000 people who lost their jobs.
What’s Actually Being Cut
The pattern across every major layoff this quarter reveals what companies consider expendable — and what they don’t.
Roles being cut
- Go-to-market (GTM) and sales operations. Block’s 40% cut hit sales and operations hardest. Oracle’s Revenue and Health Sciences division saw 30%+ reductions. These are functions where AI-assisted workflows can genuinely reduce headcount.
- Manual workflow and operations roles. Data entry, report generation, customer support triage, and process management roles are being automated or consolidated across every company that announced cuts.
- Middle management. Amazon and Meta have both explicitly targeted management layers as part of “flattening” initiatives. Fewer direct reports means fewer managers.
- Non-AI product divisions. Meta’s Reality Labs cuts and Dell’s traditional hardware reductions show companies deprioritizing non-AI product lines entirely.
Roles being preserved or grown
- Core engineering. Software engineers are largely being redeployed, not cut. Atlassian’s 800 new AI positions are staffed partly by internal transfers from cut product lines.
- AI/ML engineers and researchers. Every company cutting roles is simultaneously hiring AI talent. The reallocation is real.
- Infrastructure engineers. Oracle’s $156B AI buildout, Dell’s AI server pivot, and the data center boom mean GPU infrastructure, cloud ops, and networking roles are growing.
- AI safety and alignment. Companies like Anthropic and OpenAI are expanding safety teams as regulatory pressure mounts.
The Pattern Is Clear
Companies are cutting roles that AI can automate and growing roles that build AI. If your job involves manual workflows, sales operations, or managing people who do those things, you’re in the blast radius. If your job involves building, deploying, or securing AI systems, demand for your skills is accelerating.
Who’s Hiring RIGHT NOW: 8,992 Open Roles
While 61,000 jobs were cut, the other side of the market is hiring aggressively. On JobsByCulture, 57 companies have 8,992 live roles right now. Here are the biggest employers, sorted by open positions.
Top 10 Companies by Open Roles
Frontier AI Companies
If you want to work on AI rather than be replaced by it, these companies are building the technology everyone else is buying:
Infrastructure & Developer Tools
The AI boom requires infrastructure. These companies are building the picks and shovels:
European Companies Hiring
If you’re based in Europe or looking for European opportunities, these companies are actively growing:
What to Look For in Your Next Role
If you were laid off in the name of AI, choosing your next company based solely on title and compensation is a mistake. The culture of the company that laid you off matters — it determines how they treated you on the way out. The culture of your next company matters even more.
Transparency. Oracle employees had nearly a month between the Bloomberg report and the actual cuts, but leadership said nothing. Block at least told employees directly via Dorsey’s letter. Look for companies where leadership communicates openly, even when the news is bad. On JobsByCulture, filter for the transparent culture value.
Investment in people, not just models. Companies that invest in employee growth — learning budgets, conference attendance, internal mobility — signal that they view headcount as an investment, not a cost to be optimized. Filter for the learning culture value.
Psychological safety. After being blindsided by a layoff, you need to know your next company won’t treat you as disposable. Look for companies where Glassdoor reviews mention supportive management and blameless cultures. Filter for psych-safety.
Engineering-driven culture. Companies where engineers have influence over product direction and company strategy are less likely to treat technical employees as interchangeable. Filter for eng-driven.
Financial stability. Check whether a company has had layoffs before and how they handled them. A company like Stripe, which handled its 2022 layoffs with transparent communication and generous severance, signals a fundamentally different management philosophy than a 6am termination email.
The Opportunity in the Chaos
61,000 people losing their jobs is not a good thing. But the same AI wave creating these layoffs is also creating unprecedented demand for technical talent at companies that are building, not cutting. Databricks alone has 841 open roles. Anthropic, OpenAI, Cloudflare, Stripe — the companies defining the next era of technology are hiring aggressively. Your experience is valuable. Use this moment to find a company whose culture matches what you actually care about.
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