Eric Kauderer-Abrams

Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, AI in Life Sciences

Eric Kauderer-Abrams, Apoorv Agrawal, Eric Abrams, Josh

Chai Discovery and Anthropic are establishing a new drug discovery paradigm by serving as tool providers that convert biological engineering from a trial-and-error art into a scalable, AI-driven discipline. By integrating large language models with wet-lab validation, these firms aim to compress the traditional ten-year development cycle into five years while democratizing research capabilities for individual scientists. The convergence of these technologies, supported by massive data generation and strategic partnerships with major pharmaceutical companies, positions AI-native infrastructure as the critical lever for the United States to compete globally in biotech.