Future of Work
Ideas and insights about the future of work from MIT Sloan.
How to redesign work for the age of AI
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Leaders from Google, ING, and Capital One advise avoiding the “gold rush mentality” around artificial intelligence and following these six steps instead.
How generative AI affects highly skilled workers
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When software developers were given access to an AI coding tool, productivity increased — particularly among newer hires and more junior employees.
The rise of the union-curious worker, and how to win them over
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In the U.S., front-line workers’ attitudes toward unions are softening, especially among people under 30. Here’s what they want from their workplaces.
Nobel winners propose fixes for democracy’s ’tough stretch’
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MIT economists Daron Acemoglu and Simon Johnson say good jobs and the equitable deployment of technology can help restore people’s faith in democratic institutions.
Insights from MIT’s newest Nobel laureates on AI, labor, and more
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Institute professor Daron Acemoglu and MIT Sloan professor Simon Johnson have examined economic growth, digital advertising, and the Russian oil cap.
The economic impact of generative AI
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Generative artificial intelligence will affect economic growth more quickly than other general-purpose technologies, according to a new report.
Commercial real estate preps for the workplace of the future
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How can urban real estate bounce back from the pandemic? By embracing flexibility and deploying artificial intelligence, industry experts say.
The secret to successful AI implementations? Worker voice
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When stakeholders become more involved in generative AI design and implementation, it’s more likely that such tools will augment work rather than displace workers.
How to tap AI’s potential while avoiding its pitfalls
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MIT PhD Ethan Mollick on how organizations can find artificial intelligence use cases, account for errors, and identify the most pressing concerns.
How can we preserve human ability in the age of machines?
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Workers need healthy challenge, complexity, and connection, automation expert Matt Beane argues in his book “The Skill Code.”