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The Enterprise AI Blueprint (The Economist)

"A conversation with Erik Brynjolfsson of Stanford University's Digital Economy Lab examines how firms can capture value from AI. Rewiring organisations around the technology through redesigned workflows, upskilling and new business processes matters far more than the AI investment itself, and only about 5% of firms are doing so at scale."

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Jan 2025

What Can Machines Learn? And What Does It Mean for Occupations and the Economy?

We find that (i) ML affects different occupations than earlier automation waves; (ii) most occupations include at least some SML tasks; (i) few occupations are fully automatable using ML; and (iv) realizing the potential of ML usually requires redesign of job task content.

Jan 2025

Generative Al at Work

The emergence of generative artificial intelligence (Al) has attracted significant attention, but there have been few studies of its economic impact. This is, to our knowledge, the first study of the impact of generative Al when deployed at scale in the workplace.

Jan 2025

GPTs are GPTs

In collaboration with OpenAl, we assess the impact of Large-Language Models on the labor workforce. 80% of the U.S. workforce could have at least one tenth of their tasks affected by GPTs.

The Enterprise AI Blueprint (The Economist)

What Can Machines Learn? And What Does It Mean for Occupations and the Economy?

Generative Al at Work

GPTs are GPTs

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