This page snapshots reported employee headcount at the major AI labs as of mid-2026, compiled from public reporting and LinkedIn-derived estimates.
June 2026 Headcount Snapshot
| Lab | Total Headcount | Frontier Research Subset (est) |
|---|---|---|
| OpenAI | ~3,500 | ~600-800 |
| Anthropic | ~1,200 | ~400-500 |
| Google DeepMind | ~6,000+ | ~1,500+ |
| Meta AI (FAIR + GenAI) | ~3,000+ | ~800+ |
| xAI | ~1,000+ | ~250+ |
| Microsoft AI | ~5,000+ | ~600+ |
| NVIDIA AI | ~3,000+ | ~500+ |
| Mistral AI | ~250-400 | ~150-200 |
| Cohere | ~600+ | ~200+ |
| Perplexity | ~250+ | ~50-80 |
| DeepSeek | ~250+ | ~150+ |
| Moonshot AI | ~250+ | ~120+ |
| Zhipu AI | ~700+ | ~250+ |
| Alibaba Qwen team | ~1,000+ | ~300+ |
| Tencent Hunyuan team | ~1,500+ | ~400+ |
| Thinking Machines Labs | ~150+ | ~100+ |
| Safe Superintelligence Inc | ~50-100 | ~50-100 |
Key Takeaways
- OpenAI is the largest pure-play frontier lab by headcount at approximately 3,500 employees in mid-2026.
- Anthropic at approximately 1,200 is roughly one-third OpenAI's size despite higher run-rate revenue.
- Google DeepMind and Meta AI maintain larger headcounts but with broader research scope.
- Pure-research labs (TML, SSI) maintain headcounts under 200 with high frontier-research density.
Methodology
Headcounts from public reporting, company disclosures, and LinkedIn-derived estimates as of mid-2026. Frontier research subset estimates the share of employees working on foundation model research rather than product, sales, operations, or other functions. Numbers are approximate and updated quarterly.
How Presenc AI Helps
Presenc AI tracks AI lab brand visibility patterns as company scale shapes media coverage and AI assistant citation share.