To provide a framework for MIT's Task Force’s efforts over the next year, this report examines several aspects of the interaction between work and technology.
How to think about automation and potential job loss, where predictions of rising automation & job replacement come from, and offering paths for future research.
The Global Research Network is an MIT-led network of researchers, generating comparative international research to help reach data-driven conclusions on topics related to the work of the future and other relevant topics.
MIT WotF task force researches trends in several industries in terms of technology adoption, changing skills requirements and overall changes to work and jobs.
The MIT Task Force on the Work of the Future uses Detroit MSA to examine the relationships between technology, work, and society through the lens of mobility.
The focus of this sub-group is to explore new pathways and institutional arrangements for delivering skills, training, and education based on new technologies.
MIT Work of the Future approaches manufacturing to understand how new technology is designed and developed, and how it changes the nature of the work & skills required to succeed.
This new book by the Co-Chairs of the Task force discusses why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher-paid knowledge workers. What's wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. (to be published 1/25/22)
The authors ask whether the COVID-19 pandemic has changed the conventional wisdom about automation and inequality in the US over the past four decades.