How to Win the Largest Market in AI

a16z’s investment thesis treats AI inference as a stable, recurring workload where tokens per watt matter more than flexibility. Its sharper claim is that production—not chip design alone—is the moat: memory, power, cooling, interconnects, supply chains, and reliable rack-scale delivery determine unit economics.