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MBA Diversity

Confidence in Community

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Community is everything for Johana Muriel Grajales, MBA ’22. Originally from Colombia, with a background in the nonprofit sector, Johana came to MIT Sloan looking to find a community that would support her ultimate goal of being a more impactful leader.

Apr 23, 2021
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What is the future of work?

Work and workplaces are changing rapidly. Learn what's next from MIT Sloan experts.
Find out how MIT Sloan is leading the future of work
Centers + Intiatives
MIT Institute for Work and Employment Research
IWER is a multidisciplinary and highly collaborative hub for the study of work and employment
Centers + Intiatives
The Stone Center on Inequality and Shaping the Future of Work
The Stone Center applies economics research to identify innovative ways to move the labor market onto a more equitable trajectory.
Executive Education
Leading the Future of Work
This course prepare you, and your organization, for an evolving workplace as it investigates its impact on social, legal, and economic policy.
MIT hasn’t just prepared me for the future of work—it’s pushed me to study it. As AI systems become more capable, more of our online activity will be carried out by artificial agents. That raises big questions.
Benjamin Manning

PhD Student
I think, at its most generous, AI tools enable us to learn from our collective actions ... What AI tools do is they take all of those solutions, those attempts—whether good or bad—and use them as training data to build models.
Danielle Li

David Sarnoff Professor of Management of Technology; Professor, Technological Innovation, Entrepreneurship, and Strategic Management
To me, the future of work means democracy. It’s hard to have any positive vision of work without meaningfully engaging workers. This is why I research economic democracy—worker voice is pivotal in designing good jobs.
Alex Busch

PhD Student
The rise of generative AI is a real opportunity, but making the most of it will demand a new approach to decision-making, as well as a new focus on worker training, fair transitions, and effective policy.
Thomas Kochan

George Maverick Bunker Professor of Management, Emeritus; Professor of Human Resources and Management, Emeritus
Combinations of humans and AI work best when each party can do the thing they do better than the other.
Thomas W. Malone

Patrick J. McGovern (1959) Professor of Management; Director, MIT Center for Collective Intelligence; Professor, Information Technology
 
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Centers + Intiatives
MIT Work of the Future at the IPC
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.
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Workforce development in the age of AI
MIT experts share strategies to transform skills, roles, and human potential across your organization.
Centers + Intiatives
MIT Initiative for New Manufacturing
INM is an MIT-wide effort that drives research, education, and collaborations to transform the future of manufacturing in the United States and beyond.

The Future of Work

Choose the human path for AI
To realize the greatest gains from artificial intelligence, we must make the future of work more human, not less.
Who benefits from AI? New comic explores technology’s impact on labor
A free comic book adapts MIT Nobel Prize-winning economists’ work on how AI and technological change affect workers and shared prosperity.
For manufacturers, listening to workers pays off in productivity
Companies that act on input from front-line employees pay their workers more and experience a productivity bump that offsets those costs.
Building a quantum workforce
The Quantum Index Report from MIT documents a growing demand for quantum skills and emerging efforts to train a quantum workforce.
PhD Student Benjamin Manning Explores How AI Will Shape the Future of Work
“MIT hasn’t just prepared me for the future of work—it’s pushed me to study it."
Media: CIO
Humanizing AI: Empowering people, not replacing them
AI works best not when it replaces humans, but when it augments them. As professor Thomas W. Malone, director of the MIT Center for Collective Intelligence, puts it: "Combinations of humans and AI work best when each party can do the thing they do better than the other."

Faculty Publications

Accelerating Innovation: Competitive Advantage Through Ecosystem Engagement
Senior lecturer Phil Budden and associate dean for innovation Fiona Murray provide a practical guide to engaging with the five key stakeholders in an innovation ecosystem.
The Meritocracy Paradox: Where Talent Management Strategies Go Wrong and How to…
MIT Sloan professor Emilio J. Castilla offers practical solutions to help organizations build fairer, more effective people management practices.
Power and Progress: Our 1000-Year Struggle Over Technology and Prosperity
In their book, “Power and Progress,” Nobel laureates Daron Acemoglu, Institute professor, and Simon Johnson, MIT Sloan professor, ask whether the benefits of AI will be shared widely or feed inequality.
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MIT Initiative on the Digital Economy
4 new studies about agentic AI from the MIT Initiative on the Digital Economy
New research ranges from how AI agents negotiate to how “personality pairing” can optimize human-AI collaboration.
Special Report
MIT Sloan insights for success in AI-driven organizations
Experts share innovative ideas for using artificial intelligence to solve critical business problems and deliver on strategy.
Teaching & Learning Resources
Generative AI for Teaching & Learning
Explore our resources to unlock AI's potential for enhancing teaching and learning at MIT Sloan.

Centers, Initiatives, and Programs

MIT Center for Collective Intelligence
Center for Information Systems Research
Computer Science and AI Lab
Master of Business Analytics
Business Analytics Certificate
AI Executive Education

AI at MIT Sloan

Choose the human path for AI
To realize the greatest gains from artificial intelligence, we must make the future of work more human, not less.
Beyond the algorithm: AI’s societal impact
MIT Sloan research explores the promise and limits of using AI in medicine, hiring, and creative pursuits.

AI at Work Newsletter

Research and insights powering the intersection of AI and business, delivered to your inbox monthly.
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AI is reinventing hiring — with the same old biases. Here’s how to avoid that t…
The AI hiring revolution doesn’t have to be a story of automated bias, argues MIT Sloan’s Emilio J. Castilla. Tough questions and constant monitoring can lead to fairer systems.
How to spot real value in AI — and avoid the snake oil
A new book aims to help business leaders separate real AI value from overhyped claims.
How organizations build a culture of AI ethics
From risk management policies to the five stages of AI ethics, here’s how some organizations approach ethical AI.
Bringing transparency to the data used to train artificial intelligence
Using the wrong datasets to train artificial intelligence models can result in legal risks, bias, or lower-quality models. The Data Provenance Initiative’s tool can help.
Media: Bloomberg
MIT Harnesses AI to Accelerate Startup Ambitions
Paul Cheek, executive director of the Martin Trust Center for MIT Entrepreneurship said: "Our mission at the Trust Center is to advance the field of innovation-driven entrepreneurship everywhere. We can't do it with intuition or by throwing stuff against the wall. We have to practice entrepreneurship in a rigorous, systematic way that increases the odds of success."
Managers and workers need to collectively develop new expectations and work practices to ensure that any work done in collaboration with generative AI meets the values, goals, and standards of their key stakeholders.
Kate Kellogg

David J. McGrath jr (1959) Professor of Management and Innovation
I've gained deep insights into cutting-edge technologies and had the chance to connect and network with industry leaders ... [T]aking courses or working on projects related to deep learning has been a rewarding experience.
Anne Castille Buisson

MBAn ’24
This technology’s deepest impact on the world of work will come as it’s used to reimagine entire organizations. This deep reimagination will be a decentralized and distributed phenomenon, carried out by innovators and entrepreneurs.
Andrew McAfee

Co-Director, MIT IDE & Principal Research Scientist, MIT Sloan
You need to be talking about AI along with specific initiatives and the outcomes you want to achieve using it. And those outcomes need to be compelling for your organization.
Barbara Wixom

Principal research scientist at the MIT Center for Information Systems Research
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