Tech at Work: What GenAI Means for Companies Right Now

Managing technology has never been more challenging. HBR IdeaCast’s new special series, Tech at Work, offers research, stories, and advice to make technology work for you and your team. This week: how your team can get the most out of working with generative AI.

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HBR IdeaCast
Episode 965

Tech at Work: What GenAI Means for Companies Right Now

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Wharton professor Ethan Mollick says your team should bring generative AI into everything they do – right now.

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May 02, 2024

If you’re a senior leader, managing technology has never been more challenging—especially as organizations struggle to deploy generative artificial intelligence. Since ChatGPT burst into the mainstream a year and a half ago, everyone has been scrambling to make sense of how to use these tools, what they can and can’t do, and what they mean for our work and our teams.

Tech at Work is a four-part special series from HBR IdeaCast. Join senior tech editors Juan Martinez and Tom Stackpole for research, stories, and advice to make technology work for you and your team. New episodes publish in the IdeaCast feed every other Thursday starting May 2, after the regular Tuesday episode.

In this episode, Ethan Mollick, a management professor at The Wharton School of the University of Pennsylvania and author of the new book Co-Intelligence: Living and Working with AI, discusses what he’s learned through direct experimentation with these tools, where he sees the most potential, and why organizations are struggling to create value with them.

And please let us know what you think of the series and which technology topics you want us to cover at ideacast@hbr.org.

Further reading:

• ChatGPT Is a Tipping Point for AI (Ethan Mollick)

• Why You (and Your Company) Need to Experiment with ChatGPT Now (HBR IdeaCast)

• The Social Cost of Algorithmic Management (Armin Granulo, Sara Caprioli, Christoph Fuchs, and Stefano Puntoni)

• Deployment of algorithms in management tasks reduces prosocial motivation (Armin Granulo, Sara Caprioli, Christoph Fuchs, and Stefano Puntoni)

• When AI Teammates Come On Board, Performance Drops (Juan Martinez)

• Super Mario Meets AI: Experimental Effects of Automation and Skills on Team Performance and Coordination (Fabrizio Dell’Acqua, Bruce Kogut, and Patryk Perkowski)

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