How many AI agents could run on the AI chips shipped through 2027?

AI companies are spending hundreds of billions of dollars a year on chips and data centers, on the premise that those chips will run AI agents to do work that people do today. How many agents could this hardware buildout actually support? AI chips shipped through 2027 could run tens to hundreds of millions of concurrent frontier-model agents. Running nonstop, these agents would supply as many weekly working hours as about 140–720 million full-time employees. More efficient models could potentially support billions of agents on the same hardware. Applying DeepSeek V4 Pro serving benchmarks to the projected hardware supply yields approximately 1.9 billion concurrent agents supplying as many weekly working hours as 8 billion people each working 40 hours. Even modest use of this capacity would require a massive increase in global demand for AI. Using 20% of our central capacity estimate would imply $2.6–5.3 trillion a year in API-equivalent spending, against roughly $1 trillion in developer revenue by end-2027 at fivefold annual growth. Hourly agent spending varies substantially across models and harnesses. In our analysis of agent traces, Codex workloads averaged roughly $16–18 per hour of continuous agent activity, compared with $24–50 for Claude Code workloads. Anthropic’s Dario Amodei…