Institute for Work & Employment Research

The AI Work Redesign Playbook

About the Project    

The actual impact of an AI tool depends on how it is designed and implemented, but frontline workers often have little say in those decisions. AI can conceivably improve work by reducing low-value tasks and streamlining operations, so that employees can concentrate on the work they find most meaningful. 

Those changes could benefit many workers who feel overloaded, burned out, and tempted to quit the jobs that they have trained for and on which their families rely. Of course, AI can also degrade job quality by amplifying productivity pressures and worries about job security. Those concerns often prompt AI resistance and avoidance—leading to failed AI pilots and limited worker investment in developing their AI skills. 

To address these challenges, a research team based in the Institute for Work and Employment Research (IWER) at the MIT Sloan School of Management will test and iterate concrete strategies for integrating frontline workers’ voices and insights into the development and deployment of AI. In Phase 1 and 2 of this project, we will test these frameworks in health care jobs such as medical coders, respiratory technicians, billing staff, medical assistants, and more. 

These pilots will be codesigned, implemented, and evaluated in partnership with the health system we are working with and the union representing many of those workers. We hypothesize that these engagement strategies will support more complete implementation of AI tools and greater development of AI skills, while reducing overload, burnout, and turnover, both in this health care setting and beyond.  We hypothesize that frontline engagement will improve work for all employees; consistent with some of our past research, we expect benefits will be even stronger for women and those with family caregiving responsibilities.

In Phase 3, lessons from the health care pilots will be integrated with insights from research and cases in other industries and from our expert advisors from MIT and across sectors. We will prepare and disseminate a Playbook offering concrete, tactical guidance on how to effectively and efficiently learn from and engage with frontline workers when designing and implementing AI solutions.

 

Research Partners

We are pleased to be working with UMass Memorial Health and the SHARE AFSCME union on this project. 

The Research Team

Erin Kelly

Erin Kelly

Sloan Distinguished Professor of Work and Organization Studies

Erin L. Kelly is the Sloan Distinguished Professor of Work and Organization Studies at the MIT Sloan School of Management and Co-Director of the MIT Institute for Work and Employment Research.  Kelly’s research has been published in many top…

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Kate Kellogg

Kate Kellogg

Hear name pronounced.

David J. McGrath jr (1959) Professor of Management and Innovation

Kate Kellogg is the David J. McGrath Jr Professor of Management and Innovation, a Professor of Business Administration at the MIT Sloan School of Management. Kate's research focuses on helping knowledge workers and organizations develop and…

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Incoming MIT Assistant Professor Zana Buçinca speaking as part of a panel at MIT

Zana Buçinca

Assistant Professor, Starting in Fall 2026

Buçinca, whose research interests include human-AI interactions and responsible AI, will have a shared appointment at the MIT Sloan School of Management and the MIT Department of Electrical Engineering and Computer Science.

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Thomas Kochan

Thomas Kochan

George Maverick Bunker Professor of Management, Emeritus

Thomas A. Kochan is the Post-Tenure George Maverick Bunker Professor at the MIT Sloan School of Management and a faculty member in the MIT Institute for Work and Employment Research. Kochan focuses on the need to update America's work and…

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Headshot of Palak Shah

Palak Shah

Senior Fellow, MIT Institute for Work & Employment Research

From 2013 to 2024, Shah served in executive roles at the National Domestic Workers Alliance, where she was instrumental in shaping the organization’s strategic vision and led innovation initiatives.

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Learn about some of the recent work by members of this project team.

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