Increased automation and use of tools like robotics and generative AI have fundamentally changed the expert-novice relationships that organizations and knowledge transfer are built on. Professor and author Matt Beane joins the Talent Angle to share his insights on how learning and development (L&D) leaders can play a strategic role in unlocking human ability in the age of intelligent machines. Drawing upon examples across industries and eras, Matt explains why challenge, complexity and connection are key drivers for effective learning in today’s working environment.   Matt Beane is an assistant professor in the technology management program at the University of California, Santa Barbara. Matt does field research on work involving robots and AI to uncover systematic positive exceptions that we use across the broader world of work. He received his Ph.D. from the Sloan School of Management at the Massachusetts Institute of Technology in the information technologies department. Matt also took a two-year hiatus from his doctoral studies to help found and fund Humatics, an MIT-connected, full-stack IoT startup.   Peter Aykens is the chief of research for Gartner’s HR practice. Aykens is responsible for building and leading research teams within the practice to address clients’ key initiatives. Before his current role, he spent over 25 years at Gartner leading research teams focused on banking and financial services strategy, producing numerous studies that addressed business strategy, channels, marketing, customer experience and product challenges. He holds a bachelor’s degree in political science from St. Olaf College, a master’s degree in international politics from Aberystwyth University (formerly known as the University College of Wales, Aberystwyth), and a master’s degree and a doctorate in political science from Brown University.