“The way I think about trying to anticipate and shape the AI future requires us to take a step back and ask ourselves first, ‘What does this technology do? What does it enable?’” reflects Amir Goldberg, a professor of organizational behavior at Stanford Graduate School of Business. “That’s very different from asking ourselves, ‘How is the technology implemented?’” 

From locating the origins of innovation to identifying hidden barriers blocking new ideas, Goldberg presents a framework for harnessing novel technological capabilities like AI — capabilities that are essential for staying ahead of the competition.  

“The data/AI train is leaving the station,” he says. “The problem is, there are many trains — and some are going off a cliff.”   

Is your organization exploring how to transform its experience into data? Tell us your story at [email protected].

This episode was recorded on February 5, 2025.

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If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. Each episode features an interview with a Stanford GSB faculty member.

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