Danielle Li

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Danielle Li

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Danielle Li is the David Sarnoff Professor of Management of Technology and a Professor at the MIT Sloan School of Management, as well as a Faculty Research Fellow at the National Bureau of Economic Research. Her research interests are in economics of innovation and labor economics, with a focus on how organizations evaluate ideas, projects, and people. 

Danielle's work has been published in leading academic journals across a range of fields, including the Quarterly Journal of Economics, Science, and Management Science. In addition, her work has been regularly featured in  media outlets such as the EconomistNew York Times, and Wall Street Journal.

She has previously taught at the Harvard Business School and the Kellogg School of Management. She holds an AB in mathematics and the history of science from Harvard College and a PhD in economics from MIT.  

Honors

Publications

"Hiring as Exploration."

Li, Danielle, Lindsey Raymond, and Peter Bergman. Review of Economic Studies. Forthcoming. Accepted Manuscript.

"Potential and the Gender Promotion Gap."

Benson, Alan M., Danielle Li, and Kelly Shue. American Economic Review. Forthcoming.

"What if NIH had Been 40% Smaller?"

Azoulay, Pierre, Matthew Clancy, Danielle Li, and Bhaven N. Sampat. Science Vol. 389, No. 6767 (2025): 1303-1305. Replication package. Supplementary Online Material.

"Generative AI at Work."

Brynjolfsson, Erik, Danielle Li, and Lindsey R. Raymond. The Quarterly Journal of Economics Vol. 140, No. 2 (2025): 889-942. arXiv Preprint.

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Recent Insights

Ideas Made to Matter

Download: Workforce development in the age of AI

From MIT experts, strategies to transform skills, roles, and human potential across your organization.

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Ideas Made to Matter

How to use generative AI to augment your workforce

Artificial intelligence can be useful in the workplace, but humans have to first define what success looks like, according to MIT Sloan’s Danielle Li.

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Media Highlights

Press Financial Times

Highly skilled workers have been training AI — that comes at a cost

Professor Danielle Li wrote: "As workers, people should think about how to use AI to expand their skills: whether by building complementary capabilities or by finding ways to scale their expertise through AI systems. As citizens, they should press for policies that give workers clearer rights over the data generated by their work and compensation for it."

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Press The Economist

The problem with promotions

A paper by professor Danielle Li and co-author showed that being a good salesperson increased the probability of being promoted into a management position, but was a negative predictor of managerial quality. In other words, the performance of a sales hotshot's new subordinates tended to go backwards.

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Press NPR

After NIH grant cuts, breast cancer research at Harvard slowed, and lab workers left

A recent study co-authored by professors Pierre Azoulay and Danielle Li looked at drugs that were developed through NIH-funded research and approved by the Food and Drug Administration since 2000. More than half those drugs would probably not have been developed if the NIH was operating with a 40% smaller budget. "We can't say, 'But for that grant, that specific drug would not have come into existence,'" said Azoulay. But fewer drugs overall would have made it to market, he said.

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Press FierceBiotech

'Alternative history' of the NIH shows how a 40% budget cut may thwart new medicines

A new study by professors Pierre Azoulay, Danielle Li, and co-authors, has revealed the potential impacts a smaller National Institutes of Health (NIH) would have had on past drug development. If the NIH budget had been 40% smaller from 1980 to 2007 — the level of cuts that President Donald Trump has proposed for the agency — the science underlying numerous drugs approved in the 21st century would not have been funded, according to the analysis. "Cuts today are going to have effects starting 15 years from now, roughly, and then accelerating from there," Azoulay said.

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