Stripe’s Economics of AI Fellowship 2025 for Graduate Students and Early-Career Researchers ($10,000 grant)

Applications are now open for the 2025 Stripe Economics of AI Fellowship. Click here to learn more about this opportunity and apply for it.

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About Stripe’s Economics of AI Fellowship

Opportunity Details

The economics of AI remains surprisingly understudied, even as technical progress in artificial intelligence continues rapidly. The Stripe Economics of AI Fellowship aims to help fill that gap by supporting foundational academic research in the area.

Stripe is inviting graduate students and early-career researchers who are interested in studying the economics of AI to apply, regardless of prior experience. Fellows receive a grant of at least $10k, participate in conferences with leading economists and technologists, and have the potential to access unique data via Stripe and its customers. THe initial cohort will include 15-20 fellows, and will form the foundation of a community at the bleeding edge of economic research.

While they welcome researchers interested in any aspect of the economics of AI, broadly defined, they are particularly interested in supporting high-impact research that:

  • is focused on the economics of transformative AI
  • is forward-looking
  • is expected to be of durable importance, and
  • moves fast.

  • Sponsor Organisation: Stripe

Benefits of Stripe’s Economics of AI Fellowship

Fellows receive a baseline grant of $10,000. Applicants may request additional funding with justification, for example if funding for a data purchase would accelerate research progress. Graduate students are encouraged to request sufficient funding to buy out a unit of teaching or research assistantship, if they have a specific project idea which a buyout would provide time to work on.

Beyond financial support of at least, the fellowship includes:

1. Community: A community of like-minded researchers studying the economic implications of AI.
2. Conference: Funding to attend an exclusive conference in San Francisco (early summer 2025), featuring leading economists and technologists in this space. Fellows will be asked to present a brief project proposal, and invited to participate in follow-up conferences to present and get feedback on preliminary results.
3. Opportunity for data: The opportunity to gain access to unique datasets through Stripe and its customers.

Stripe’s Economics of AI Fellowship Requirements

  • They expect most of the initial fellows to be grad students or early-career researchers (including postdocs, assistant professors, etc.) in economics.
  • Researchers from any country are eligible to apply.
  • Prior experience in AI economics is welcome but not required; exceptional candidates without any background in the field are encouraged to apply, including researchers in departments outside of economics.
  • Fellows are not required to have a project proposal to apply

What kind of research are they looking for?

Their goal is to support rigorous, innovative research on the economics of AI – broadly defined – that advances the field and merits publication in top journals. They are particularly interested in high-impact research that:

1. is focused on the economics of transformative AI
2. is forward-looking
3. is expected to be of durable importance, and
4. moves fast.

By “transformative” AI, we mean AI technology that precipitates change on the scale of the industrial or agricultural revolutions (see here for more detail and a list of related papers, from Stanford’s Digital Economy Lab).

Fellows are expected to:

 • Continue and accelerate existing work on the economics of AI, or to pledge a good-faith effort to work on at least one research project on the topic.

• Present a brief research proposal at our initial conference.

Application Date and Process

  • Click on the link to the application website to apply.

Application Deadline

15 April, 2025

Scholarship Application Portal

View details of Stripe’s Economics of AI Fellowship

Apply for Stripe’s Economics of AI Fellowship

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