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Cumulative tech industry layoffs by year, company, and sector. Over 800,000 jobs cut across the tech ecosystem since the 2022 correction began.
| Year | Total Jobs Cut | Companies Affected | Primary Driver |
|---|---|---|---|
| 2022 | ~165,000 | 1,000+ | Rate hike shock, over-hiring reversal |
| 2023 | ~262,000 | 1,200+ | Efficiency era, cloud spending slowdown |
| 2024 | ~152,000 | 850+ | AI restructuring, continued rightsizing |
| 2025 (YTD) | ~130,000+ | 600+ | AI displacement, tariff uncertainty |
| Cumulative | 700,000+ | 3,600+ | Post-ZIRP normalization complete |
| Company | Total Cuts | % of Workforce | Year(s) |
|---|---|---|---|
| Amazon | ~27,000 | ~9% | 2022–2023 |
| Meta | ~21,000 | ~25% | 2022–2023 |
| Microsoft | ~20,000 | ~8% | 2023–2024 |
| Google / Alphabet | ~18,000 | ~6% | 2023–2024 |
| Salesforce | ~10,000 | ~10% | 2023 |
| Cisco | ~9,000 | ~8% | 2024 |
| Intel | ~15,000 | ~15% | 2024 |
| Workday | ~1,750 | ~8% | 2024 |
Companies are replacing manual work — content moderation, customer support, data labeling, QA — with AI models. Microsoft, Google, and Meta have all cited AI efficiency as a driver. This is structural, not cyclical.
Tech hired aggressively during COVID with 0% interest rates and unlimited growth expectations. Meta added 30,000 employees in 2020–2021 alone. The correction was a normalization, not a collapse — most companies are at or above pre-COVID headcount.
Tariff uncertainty, Fed policy, and enterprise software spending slowdowns have prompted cautious hiring. Companies are running leaner while AI capex and data center spending accelerate simultaneously.
AI infrastructure companies (NVIDIA, CoreWeave, xAI) are hiring aggressively. Legacy SaaS, crypto, and consumer tech are cutting. The net job number is misleading — the mix is shifting dramatically toward ML/AI roles.
Over 700,000 tech workers have been laid off since the correction began in early 2022, across more than 3,600 companies. The peak year was 2023 with approximately 262,000 cuts. 2024 saw roughly 152,000 cuts as the pace slowed. As of mid-2025, approximately 130,000+ additional cuts have been announced.
Amazon (~27,000), Meta (~21,000), Microsoft (~20,000), Google (~18,000), and Intel (~15,000) have collectively cut over 100,000 jobs since 2022. These represent some of the largest absolute layoff events in tech history, though as a percentage of workforce, smaller companies like Twitter/X and Peloton cut proportionally more.
Tech layoffs in 2025 are running at a slower pace than 2022–2023 but remain elevated compared to pre-pandemic norms. The nature has shifted from macro-driven rightsizing to AI-driven structural changes — companies replacing certain roles with AI tools while simultaneously hiring for ML engineering, AI safety, and infrastructure roles.
Enterprise SaaS, consumer tech (social, gaming, e-commerce), crypto/fintech, and media/streaming are the hardest-hit sectors. AI infrastructure, defense tech, and hardware/semiconductor companies are bucking the trend and actively hiring. The layoff data needs to be read alongside the hiring data to get the full picture.