Talent wars in AI are capital intensive

Building a leading AI lab is a capital-intensive talent game—evidenced by Meta spending north of $20 billion on talent and Anthropic and Meta poaching reasoning/post-training teams from Google—so a company spending $100 billion on infrastructure should commensurately spend on the people who make breakthroughs, keeping researcher-to-GPU ratios high.