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AI Safety Field Map: Data Coverage

harrywaterman.com · 103 words · saved by 1 readers

$25B initial commitment; AIS-relevant range assumes the "AI resilience" pillar is ~10–50%. Separate ~26% PBC stake ≈ $130B. 7 cofounders pledged ~80% of wealth; large safety-aligned employee equity, much routed via Coefficient / GWWC. source ↗ Unlocked by IPO/secondary (≈$6B tender; ~$965B valuation, May 2026). Pledges non-binding; AIS share a guessed 5–50% subset. Dustin Moskovitz / Cari Tuna, the largest current AIS funder, plus SFF (Jaan Tallinn) and LTFF. source ↗ Present-day baseline: the whole field runs on ~$0.1–0.25B/yr today. "AI safety" here means organizations focused on alignment, safety research, and AI governance around catastrophic/existential risk. A 3x scope expansion (e.g. including all responsible-AI and ML fairness work) could increase headcount estimates by ~10x. These comparisons reflect the narrow scope defined above. 187 named grant decision-makers across 25 organizations — school, experience, and cause-area focus for each. Generated from a ~600-agent multi-sour

Scope definition Organizations and teams whose primary mission is AI safety, alignment, or AI governance. Includes safety teams inside large AI labs (estimated FTEs for safety-relevant staff only), university research groups with dedicated AI safety funding, and government AI safety bodies. Excludes broader responsible AI, AI ethics teams at tech companies, general ML fairness research, and AI regulation bodies not focused on catastrophic/existential risk. FTE estimates are from Stephen McAleese's AI safety organization dataset, as of 2025-09-27 (a few orgs refreshed individually since…

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