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Frontier AI labs: capital, talent and compute concentrated
San Francisco, Etats-Unis / Royaume-Uni37.77°N 122.42°W
computed criticality17/100
reading
OpenAI ~1.7M H100e (1.9 GW) end-2025; together with Anthropic (~1M+ H100e), the two labs hold ~15% of global operational AI compute (Epoch AI estimate)
2025Fault line
The chokepoint, highly time-stamped and volatile, is not a patent but the co-concentration of three scarce resources: capital, talent and compute. At the end of 2025, Anthropic and OpenAI alone accounted for roughly 15 to 20% of the world's operational AI compute (Epoch AI estimates), with OpenAI nearing ~1.7 million H100-equivalents; training a frontier model implies billions of dollars per year. Redundancy exists (several labs, open models, DeepSeek), but the compute and talent barrier to entry remains massive. Caution: the 2025-2026 landscape is shifting, figures to be reassessed often.
Actors
OpenAI
Google DeepMind
Anthropic
Nvidia (compute)
Sources