This episode discusses how AI accelerates materials discovery in the chemical industry. While challenges exist—messy data, black box models, and skills gaps—AI enables simulations that once took days on supercomputers to run in seconds on laptops. Young advocates a "crawl, walk, run" approach for implementation, starting with low-stakes trials before full integration. He envisions an "in silico-first" future where materials are screened virtually before physical testing, dramatically reducing R&D timeframes from years to months.