Episode
Ep 79: OpenAI's Head of Product on How the Best Teams Build, Ship and Scale AI Products
- Published
- Dec 10, 2025
- Duration seconds
- 3376
- Processing state
not_requested
Actions
POST https://stenobird.com/v1/public/podcasts/unsupervised-learning-with-jacob-effron-6041643/episodes/ep-79-openai-s-head-of-product-on-how-the-best-teams-build-ship-and-scale-ai-products/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/unsupervised-learning-with-jacob-effron-6041643/ep-79-openai-s-head-of-product-on-how-the-best-teams-build-ship-and-scale-ai-products.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
This episode features Olivier Godement, Head of Product for Business Products at OpenAI, discussing the current state and future of AI adoption in enterprises, with a particular focus on the recent releases of GPT 5.1 and Codex. The conversation explores how these models are achieving meaningful automation in specific domains like coding, customer support, and life sciences: where companies like Amgen are using AI to accelerate drug development timelines from months to weeks through automated regulatory documentation. Olivier reveals that while complete job automation remains challenging and requires substantial scaffolding, harnesses, and evaluation frameworks, certain use cases like coding are reaching a tipping point where engineers would "riot" if AI tools were taken away. The discussion covers the importance of cost reduction in unlocking new use cases, the emerging significance of reinforcement fine-tuning (RFT) for frontier customers, and OpenAI's philosophy of providing not just models but reference architectures and harnesses to maximize developer success.