Taha Choukhmane

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Taha Choukhmane

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Taha Choukhmane is the Albert F. (1942) & Jeanne P. Clear Career Development Associate Professor in Global Management an Associate Professor of Finance at the MIT Sloan School of Management.

He was most recently a postdoctoral fellow at the National Bureau of Economic Research. His research interests lie at the intersection of household finance and behavioral economics, with a focus on households’ saving decisions.

Taha received his PhD in economics at Yale University, where he was awarded the George Trimis Dissertation Prize. He is the recipient of a grant from the Social Security Administration, and he was a dissertation fellow of the Boston College Center for Retirement Research and a graduate policy fellow at Yale’s Institute of Social and Policy Studies.

Current Research Focus: Choukhmane’s research focuses on the way households make their saving and investment decisions. His current research projects examine the behavior of participants in retirement savings plans: the behavioral biases that affect their investment and portfolio-allocation decisions, and the extent to which married couples coordinate their saving decisions. Another area of ongoing research explores how the design of retirement saving incentives contributes to racial wealth inequality.

Honors

Choukhmane’s paper wins SFI award

June 30, 2026

Choukhmane wins Paul A. Samuelson Award

January 20, 2026

Publications

"Who Benefits from Retirement Saving Incentives in the U.S.? Evidence on Racial Gaps in Retirement Wealth Accumulation."

Choukhmane, Taha, Jorge Colmenares, Cormac O'Dea, Jonathan Rothbaum, and Lawrence D.W. Schmidt. American Economic Review. Forthcoming. NBER Preprint.

"AI Financial Advice: Supply, Demand, and Life Cycle Implications."

Choukhmane, Taha, Tim de Silva, Weidong Lin, and Matthew Akuzawa, MIT Sloan Working Paper 7377-26. Cambridge, MA: MIT Sloan School of Management, May 2026. Download Preprint.

"What Drives Investors' Portfolio Choices? Separating Risk Preferences from Frictions."

Choukhmane, Taha, and Tim de Silva. Journal of Finance Vol. 81, No. 5 (2026): 5-48. NBER Preprint.

"Default Options and Retirement Saving Dynamics."

Choukhmane, Taha. American Economic Review Vol. 115, No. 11 (2025): 3749-3787.

"The Effect of Increasing Retirement Saving on Consumption, Balance Sheets, and Welfare."

Choukhmane, Taha and Christopher J. Palmer, Working Paper. September 2025.

"Age, Evolving Allocation Preferences, And the Case for Personalized Solutions."

Banerjee, Sudipto, Louisa Schafer, Taha Choukehmane, and Tim de Silva. T. Rowe Price, July 2025.

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Recent Insights

Ideas Made to Matter

AI financial advice can be good — especially with the right questions

Large language models encourage smart financial behavior, but they fall short on the more subtle aspects of saving and investing, according to MIT Sloan’s Taha Choukhmane and co-authors.

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Press

Half of Americans now ask AI for financial advice, but how good is it?

MIT Sloan assistant professor Taha Choukhmane found that following AI financial advice would move people closer to the saving, spending, and investing patterns recommended by standard economic models.

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Media Highlights

Press Associated Press

Some US adults are using AI for financial guidance but few trust it, Gallup poll finds

Using AI as a tool at the start of a learning journey and then combining this knowledge with other trusted sources can be the best way to engage with new and traditional financial guidance tools, said associate professor Taha Choukhmane. "I would encourage people to use AI to explain and define. If you're interested in knowing what the stock market is, what the difference between a mutual fund and an index fund is. Using AI to explain these concepts can be very useful because it can empower people to get the most out of these methods," he said.

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Press International Business Times

MIT study finds fault with AI prompts, says better ones lead to better retirement advice

A study by associate professor Taha Choukhmane and co-authors found that AI-generated financial advice moves people closer to sound long-term financial behavior, but the benefits are not distributed equally. "Regular people are not writing their prompts the way a finance professor is," said Choukhmane. AI systems tend to produce stronger financial recommendations when users provide richer context about their circumstances, he explained.

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Press USA Today

Half of Americans get financial advice from AI, but is it any good?

In a new working paper, assistant professor Taha Choukhmane and co-authors studied what Americans were asking AI about money, and what AI was telling them in response. Choukhmane and his colleagues asked 1,000 Americans to write out questions they might send to a chatbot. The researchers found that AI consistently gave better advice to people who asked better questions. "It might be that AI is going to be more useful for people who already know a little bit about finance and financial literacy," Choukhmane said.

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