Representing Today's Visionaries with Tomorrow's Ideas

Matt Beane

Matt Beane is an Assistant Professor in the Technology Management Program at the University of California, Santa Barbara and a Research Affiliate with MIT’s Institute for the Digital Economy. A leading expert on work involving robots, Matt’s field research focuses on the ways in which AI and intelligent machines are changing work and the broader implications of these technologies for workers, managers and organizations.

Matt’s research has appeared in top management journals such as ASQ. He has spoken at TED, was selected in 2012 as a Human Robot Interaction Pioneer, and is a regular contributor to popular outlets such as Wired, MIT’s Technology Review, TechCrunch, Forbes and Robohub. He also took a two-year hiatus from his doctoral studies to help found and fund Humatics, a MIT-connected, full-stack IoT startup.

Matt’s work brings him side by side with doctors, residents, and others on the cutting edge of robotics. His talks draw on many hundreds of hours — sometimes years — watching, interviewing and collaborating  with these people as they pioneer new approaches needed to integrate robotics and AI into critical work tasks. This deep field research expertise provides the unique option for clients to engage in a “walk and talk:” an intensive, boots-on-the-ground study of how a client’s organization is actually handling intelligent machines, followed by a customized talk that makes insightful, surprising links between broad trends and the daily realities in a client’s organization.

Matt graduated from Bowdoin College with a degree in Philosophy and received his Ph.D. from the MIT Sloan School of Management.

Learning to Work with Intelligent Machines.

Matt explores the present and future of learning to do your job in a world filling with robots and AI, outlining new pitfalls and opportunities for organizations, managers and workers.

I have all this AI, Now Where’s My Productivity?

Matt shows that the way we are redesigning work to take advantage of AI is the reason we’re not yet seeing massive related gains – and how some organizations, managers and workers are finding the way forward.