Subvolts take OpenAI product lead details enterprise AI wins and scaling strategies with GPT 5.1. Dec 10, 2025 - Developers
- Learn about reference architectures and harnesses OpenAI provides to help you succeed with their models.
- Business
- Understand how companies like Amgen are using AI for automation and accelerating timelines in critical areas.
This interview features a key OpenAI product leader discussing current enterprise AI adoption and product impact.
Ep 79: OpenAI's Head of Product on How the Best Teams Build, Ship and Scale AI Products
Audio streams from by Redpoint Ventures. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
OpenAI's Head of Product, Olivier Godement, discusses AI adoption in enterprises, focusing on GPT 5.1 and Codex. He highlights how these models automate tasks in coding, customer support, and life sciences, citing Amgen's accelerated drug development. Godement notes that while full job automation is complex, coding use cases are reaching a tipping point. The conversation also touches on cost reduction, reinforcement fine-tuning for enterprise clients, and OpenAI's approach to supporting developers.
This episode explains how new AI tools like GPT 5.1 are helping companies automate jobs, especially in areas like writing computer code and speeding up scientific research. It shows how AI is becoming a useful part of business, not just a futuristic idea.
This episode offers insight into how OpenAI's latest models, GPT 5.1 and Codex, are being practically applied in businesses. It's for product managers, engineers, and business leaders interested in real-world AI automation and enterprise adoption strategies. The discussion connects directly to OpenAI's current focus on scaling AI products and demonstrating tangible ROI, particularly in areas like coding and scientific research, aligning with the broader industry push for practical AI integration.
- HostJacob Effron
- HostJordan Segall
- GuestOlivier GodementHead of Product for Business Products, OpenAI
- Guest: Olivier Godement, Head of Product for Business Products at OpenAI
- Show: Unsupervised Learning
- Length: 56 minutes
- Product Mentioned: GPT 5.1
- Product Mentioned: Codex
- Example Use Case: Amgen uses AI to accelerate drug development documentation from months to weeks.
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.
(0:00) Intro
(1:46) Discussing GPT-5.1
(2:57) Adoption and Impact of Codex
(4:09) Scientific Community's Use of GPT-5.1
(6:37) Challenges in AI Automation
(8:19) AI in Life Sciences and Pharma
(11:48) Enterprise AI Adoption and Ecosystem
(16:04) Future of AI Models and Continuous Learning
(24:20) Cost and Efficiency in AI Deployment
(27:10) Reinforcement Learning and Enterprise Use Cases
(31:17) Key Factors Influencing Model Choice
(34:21) Challenges in Model Deployment and Adaptation
(38:29) Voice Technology: The Next Frontier
(41:08) The Rise of AI in Software Engineering
(52:09) Quickfire
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
Jacob is an AI investor at Redpoint Ventures. He's led Redpoint's investments in companies like Abridge, Physical Intelligence & Legora. Follow Jacob on Twitter (@jacobeffron).
On Unsupervised Learning we probe the sharpest minds in AI in search for the truth about what's real today, what will be real in the future and what it all means for businesses and the world. If you're a builder, researcher or investor navigating the AI world, this podcast will help you deconstruct and understand the most important breakthroughs and see a clearer picture of reality. Subscribe to this show to stay up to date on our latest episodes.
- reinforcement fine-tuning (RFT)
- Olivier Godement
- A method to train AI models using feedback to improve their performance on specific tasks.
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2 h 04Questions people ask
- How is AI automating tasks in enterprises?
- AI models like GPT 5.1 and Codex are achieving meaningful automation in domains such as coding, customer support, and life sciences, for example, by automating regulatory documentation for drug development.
- What is the role of cost reduction in AI adoption?
- Cost reduction is a key factor in unlocking new AI use cases and driving broader adoption within enterprises.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to by Redpoint Ventures.