OpenAI's deployment chief on Codex growth, falling AI prices, and the ROI question
OpenAI's deployment chief: AI prices have 'dropped sharply'—and that changes everything about enterprise ROI.

Why it matters
OpenAI's strategy to embed AI deep inside Fortune 500 workflows via dedicated engineering teams is shifting from model capability races to deployment infrastructure. Falling AI costs and real customer feedback loops are becoming competitive moats.
The key facts
5 to knowOpenAI deployment chief Arnaud Fournier quoted on Codex growth trajectory
DeployCo embedding AI engineers directly inside large corporations
Customer feedback loop from deployments feeding back into model development
Claim: AI intelligence prices have dropped sharply (no specific % given)
Focus on enterprise ROI as differentiator vs. price competition
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: OpenAI deployment chief Arnaud Fournier explains in an interview how DeployCo wants to embed AI deep inside large corporations using its own engineers. He talks about explosive Codex growth, the feedback loop from customers back into model development, and why he thinks the price of AI intelligence…