Uploaded April 2026 | Updated September 2026, 2 weeks ago
AI feels limitless, until it meets physics. Behind every breakthrough model are chips that overheat, memory systems that bottleneck, sensors that drift, and materials that quietly set the ceiling on what intelligence can become. In this talk, I draw from my background in materials science to argue that the next era of AI won’t be defined by smarter algorithms alone, but by whether our materials can sustain compute, data integrity, and energy at scale. Speaker: Catherine Li, MBA '26
The LOWkeynotes Program features a series of nine-minute 'keynote-style' presentations from Stanford Graduate School of Business students about an idea they think could change lives, organizations, and the world. This presentation was delivered for the March 2026 LOWkeynotes season.
AI feels limitless, until it meets physics. Behind every breakthrough model are chips that overheat, memory systems that bottleneck, sensors that drift, and materials that quietly set the ceiling on what intelligence can become. In this talk, I draw from my background in materials science to argue that the next era of AI won’t be defined by smarter algorithms alone, but by whether our materials can sustain compute, data integrity, and energy at scale. Speaker: Catherine Li, MBA '26
The LOWkeynotes Program features a series of nine-minute 'keynote-style' presentations from Stanford Graduate School of Business students about an idea they think could change lives, organizations, and the world. This presentation was delivered for the March 2026 LOWkeynotes season.
