We envision an economy where dramatic advances in automation and computation go hand in hand with improved opportunities and economic security for workers. Growing out of MIT's Work of the Future Task Force (2018-2020), the Work of the Future Initiative at the Industrial Performance Center conducts multidisciplinary research on the ways technology is changing work.
Generative AI Working Group
MIT’s Work of the Future Initiative is convening a multidisciplinary working group of industry, policy, and academic leaders to examine how the design and implementation of generative AI tools can contribute to higher-quality jobs and inclusive access to the latest technologies.
The Automation Clinic is an applied research and education program to understand how organizations make new technologies work in practice. MIT researchers and their partners work with organizations to learn the problems they aim to solve with automation, the challenges they face in deploying them, and the consequences for workers, customers, and society.
Despite advances in automation technology, the promise of productive and flexible automation, with minimal involvement of human workers, is far from reality, for two main reasons. First, adoption of automation technology has been limited. Second, when firms do automate, what they gain in productivity they tend to lose in process flexibility, resulting in what the […]
Christopher Fourie is a PhD candidate in the Department of Aeronautics and Astronautics, and a member of the Interactive Robotics Group.
Robotics and related technologies are central to the ongoing digitization and advancement of manufacturing. In recent years, a variety of strategic initiatives around the world including “Industry 4.0”, introduced in Germany in 2011 have aimed to improve and connect manufacturing technologies in order to optimize production processes.
Osterman is the Nanyang Technological University (NTU) Professor of Human Resources and Management at MIT Sloan, as well as a member of the Department of Urban Planning.
Employer-provided training is an important determinant of economic outcomes, yet our understanding of its extent and distribution is well out of date—with the most recent national survey being from 2008. This article updates our understanding of employer-provided training.
David Autor is Ford Professor in the MIT Department of Economics, co-director of the NBER Labor Studies Program, and co-leader of both the MIT Work of the Future Task Force and the JPAL Work of the Future experimental initiative.
In 2018, MIT President Rafael Reif convened the Work of the Future Task Force, bringing together faculty and experts from across MIT's schools and departments. Between 2018 and 2020, the task force produced dozens of research briefs and policy papers, as well as two reports synthesizing the research. The team's work was also released as a book, "The Work of the Future: Building Better Jobs in an Age of Intelligent Machines" (MIT Press, 2022).