OpenAI product chief signals market readiness for agent deployment

Sottiaux doesn't specify which agent use cases OpenAI considers proven or what deployment metrics justify the 'readiness' claim. The mention of internal reorganization under Brockman suggests product strategy is shifting, but the interview appears to avoid concrete timelines or customer traction data that would validate the confidence.

This confidence in agent deployment timing sits awkwardly against infrastructure realities. Nvidia's Groq 3 LPX announcement from today shows that raw inference speed masks a harder problem: agents require efficient, scalable inference at production cost. If OpenAI is pushing agents now, it's betting that either inference economics have solved themselves or that enterprise customers will absorb the infrastructure overhead. The Nvidia story suggests the latter is still contested.

If OpenAI announces specific enterprise agent deployments (named customer, named workflow) within 90 days, the readiness claim has teeth. If the next product update focuses instead on chat improvements or safety guardrails for agents, the 'world is ready' framing was positioning, not strategy.