About the Talk

AI can make a real difference in helping solve problems that slowly stack up: saving enough time to train, making a date easier to plan, or creating room to show up for work, personal life and elite training all at once. For Olympic gold medalist Liam Corrigan, ChatGPT was useful because it helped him keep the rest of his life moving while he prepared for Paris and won a gold medal.

In this OpenAI Forum conversation, Liam joins Natalie Staudacher, his fiancee and a former OpenAI staff member, for a candid discussion about how they used ChatGPT across training, work, and everyday life. They will talk about researching nutrition and supplements, staying effective at work while training at an Olympic level, and using ChatGPT for the ordinary but meaningful logistics of a relationship.

At a time when many people are still asking whether AI's benefits are real, Liam's story offers a grounded answer. ChatGPT did not do the rowing, make the relationship, or replace human judgment. It helped Liam and Natalie make better plans, protect time, reduce friction, and keep finding wins outside a single Olympic outcome.

About the Speakers

Liam Corrigan is a Partner at Sequoia where he helps early-stage founders build legendary companies. Prior to joining Sequoia, he was a deep-tech startup operator at Fuse, an private equity investor at Alpine, an astrophysics researcher at Harvard, and a competitive rower, representing the United States at two Olympic Games.

He has been an avid user of OpenAI's product suite from Dall-E 2 to GPT-5.5 in Codex. ChatGPT was invaluable in his preparation for the Olympics, where the model intelligence helped surface research in physiology, nutrition, and supplements, that helped him optimize all aspects of his training.

Natalie Staudacher was an early employee at OpenAI, where she launched, scaled, and shaped products that brought AI from the research frontier into the hands of hundreds of millions of people. Her work spanned OpenAI’s early API platform, DALL·E 2, ChatGPT, and most recently Model Behavior.

Before OpenAI, she conducted heliophysics research on Mercury’s magnetosphere and earned a bachelor’s degree in economics from the University of Michigan. Outside of work, she loves reading Greek philosophy, learning about Egyptian history, and exploring the map with her fiancé.