What the bond market has to say about generative AI
How do generative AI model releases impact consumption expectations? New MIT Sloan research shows large, unexpected reactions in the bond market.
Faculty
Maryam Farboodi is an Associate Professor of Finance at the MIT Sloan School of Management. She is an applied theorist whose research focuses on the economics of big data with applications to finance and macroeconomics. She has developed methodologies to estimate the value of data. In addition, Farboodi studies intermediation and network formation among financial institutions, and the spillovers to the real economy. She is also interested in how information frictions shape local and global economic cycles through the credit market structure. She has most recently worked on understanding the Covid-19 pandemic and associated policies.
Farboodi received her PhD in financial economics joint between the Department of Economics and the Booth School of Business at the University of Chicago in 2014. She is the recipient of the Elaine Bennett Research prize in 2024 and Sloan Research Fellowship from the Alfred P. Sloan Foundation 2024-2026. She is a Research Fellow at the National Bureau of Economic Research and at the Center for Economic and Policy Research.
Farboodi, Maryam and Laura Veldkamp, MIT Sloan Working Paper 5968-19. Cambridge, MA: MIT Sloan School of Management, March 2025.
Farboodi, Maryam, Dhruv Singal, Laura Veldkamp, and Venky Venkateswaran. Review of Financial Studies Vol. 38, No. 3 (2025): 938-980. SSRN Preprint.
Casillas, Adrian, Maryam Farboodi, Layla Hashemi, Maryam Saeedi, and Steven Wilson, MIT Sloan Working Paper 7160-24. Cambridge, MA: MIT Sloan School of Management, September 2024.
Azar, Pablo, Adrian Casillas, and Maryam Farboodi, MIT Sloan Working Paper 7157-24. Cambridge, MA: MIT Sloan School of Management, May 2024. The Economist. Written Testimony Before House Committee. Liberty Street Economics Blog. Read: Preprint.
Farboodi, Maryam. Journal of Political Economy Vol. 131, No. 2 (2023): 3267-3309. SSRN Preprint.
Farboodi, Maryam, and Péter Kondo. Journal of Financial Economics Vol. 150, No. 1 (2023): 46-67.
How do generative AI model releases impact consumption expectations? New MIT Sloan research shows large, unexpected reactions in the bond market.
MIT Sloan researchers have developed a statistical method that investors and financial firms can use to value their existing data and/or a potential data stream that they are considering acquiring.
Why would investment newsletter editors be less than enthusiastic about Nvidia in particular and the information-technology sector in general? No doubt there are many reasons, but one major clue comes from a new study by associate professor Maryam Farboodi and co-author. They found that long-term Treasury, TIPS and corporate bond yields fell in the wake of major AI-model releases releases, on average, and remained lower for weeks.
Most economists agree that AI has the potential to raise productivity and thus boost GDP growth. The burning question is, how much? Some predict only a marginal change. Institute Professor Daron Acemoglu estimated that AI will lift global GDP by no more than 1-2% in total over a decade. A draft paper by associate professor Maryam Farboodi and co-author found that bond yields have on average declined around the release of new AI models by the likes of OpenAI and DeepSeek, rather than rising.
"Decentralized Finance, or DeFi, is a rapidly growing ecosystem of financial applications built on blockchain technology."