AI is changing how work gets done but not in the way most people think.

In this episode, Mohan Reddy, Chief AI Research Scientist at Cornerstone and Associate Director at Stanford’s Human Perception Lab, explains why automation transforms tasks rather than eliminating skills, how workforce dynamics are shifting globally, and what leaders must do to guide responsible adoption.

A grounded conversation on strategy, human capability, and leadership in a rapidly evolving world. Mohan Reddy is Chief Scientist at Cornerstone AI Labs and Associate Director at Stanford's Human Perception Lab. At Stanford, he leads research at the intersection of neuroscience, psychology, and AI, focusing on human-machine perception, predictive cognition, and multimodal reasoning. His lab work includes the Universal Sensory Index for multimodal perception, frameworks for embodied cognition in robotic systems, and agent readiness models that ground AI behavior in human cognitive principles.

A nine-time founder with three successful exits, Mohan built SkyHive (acquired by Cornerstone OnDemand) and co-founded FogHorn Systems (acquired by Johnson Controls), one of the first edge AI platforms for industrial IoT. At Cornerstone, he architected the Labor Market Engine, a workforce computation system representing 1.2 billion people and 5 billion jobs, executing over 150 trillion computations daily. His platforms have served hundreds of millions of users and are built to scale to billions globally.

With 25+ years of building intelligent systems across enterprise, robotics, and distributed computing, Mohan bridges deep research with production engineering, taking ideas from the lab to planetary-scale deployment.