OpenAI launches Economic Research Exchange for external AI impact studies

OpenAI has launched the OpenAI Economic Research Exchange, a new platform that will fund and support structured, project-based collaborations between external researchers and OpenAI Economic Research on the economic effects of AI. Applications opened with the announcement and will close on July 5, 2026. OpenAI says it will review submissions and notify selected researchers by July 31, 2026, and an update dated August 5, 2026 directs readers to the current Research Cohort on the program's page.

The stakes here are straightforward. AI is reshaping how people work, how businesses operate, and how ideas are created and shared, as OpenAI puts it in its announcement. The company argues that understanding those changes will require more than anecdotes. It will require rigorous empirical research, grounded in real-world evidence and pursued by a broad community of researchers. That framing is the core rationale for the Exchange: OpenAI wants to widen the pool of people who can produce credible evidence about AI's economic effects, beyond what its internal team can do alone.

What the Exchange actually offers

The Exchange is not a grant program in the traditional sense, at least as described in the announcement. It is a collaboration mechanism. Selected researchers will conduct research through structured, project-based collaborations with OpenAI Economic Research, with what the company describes as carefully scoped projects that come with defined milestones, data governance, and review processes.

The distinctive element is data access. OpenAI is asking for proposals that explain how carefully governed, privacy-protected use of OpenAI tools can help answer important questions about the economic impacts of AI. The stated goal is to enable rigorous and credible research that would extend beyond traditional datasets alone, by utilizing OpenAI tools and datasets — while maintaining what the company calls clear safeguards for user privacy and responsible data use.

That is the trade the program offers: researchers with strong empirical credentials get access to OpenAI's tools and data, and OpenAI gets an expanded portfolio of external evidence on questions it says it cares about — how AI is affecting workers, firms, institutions, and the broader economy.

Who OpenAI is looking for

The call for proposals is explicit about the skill sets in demand. OpenAI welcomes proposals from researchers with strong empirical skills and relevant expertise in applied causal inference, measurement, labor economics, productivity, firms, education, entrepreneurship, public finance, regional economics, development, inequality, or related fields.

That list reads like a syllabus for the empirical economics of technology adoption. It signals the kinds of questions OpenAI expects the Exchange to address: what happens to workers when AI tools enter the workplace, how firm-level productivity responds, how education and entrepreneurship shift, and how the gains and losses distribute across regions and income groups.

Proposals will be evaluated on five criteria, according to the announcement: methodological rigor, feasibility, fit with Exchange priorities, clear milestones, and the potential to contribute credible external evidence on AI's economic impacts. The emphasis on milestones and feasibility suggests OpenAI wants projects that can be scoped, governed, and reviewed within a structured collaboration rather than open-ended exploratory work.

The connection to OpenAI Signals

The Exchange does not stand alone in OpenAI's research apparatus. The announcement notes that it builds on OpenAI's broader efforts to improve measurement of AI's economic effects, including OpenAI Signals, an existing initiative at the company. The Exchange extends that measurement agenda outward: by supporting a portfolio of external research collaborations, OpenAI says it hopes to expand the evidence base available to researchers, policymakers, businesses, and the public as they navigate a period of rapid technological change.

The audiences named in that sentence matter. Policymakers currently face a wave of AI regulation and labor-market questions with a thin empirical base. Businesses are making adoption decisions without strong evidence on productivity effects. OpenAI is positioning the Exchange as a way to supply those groups with independent — its word — evidence on AI's economic impacts.

Governance and independence

The announcement repeatedly stresses safeguards and governance, which is where programs like this face their hardest questions. OpenAI says selected researchers will work under carefully scoped projects with defined milestones, data governance, and review processes, and that proposals must explain how carefully governed, privacy-protected use of OpenAI tools can help answer their research questions. The company commits to maintaining clear safeguards for user privacy and responsible data use.

OpenAI also describes the goal of the program as producing credible, independent evidence. Whether research conducted through structured collaborations with a company that supplies both the funding structure and the data will be received as fully independent is a question the research community will judge on the output: study designs, data governance disclosures, and whether findings — favorable or unfavorable to OpenAI's interests — make it to publication.

How to apply

The application process runs through a form linked from the announcement, with a full Request for Proposals available on OpenAI's site. The application window closes July 5, 2026, and selected researchers will be notified by July 31, 2026. Questions can go to [email protected].

The first concrete test of the program will come quickly after selection: whether the initial cohort's projects produce empirical work on AI's labor-market and productivity effects that holds up outside the company's walls — and whether the structured-access model proves attractive enough to economists that a second cycle follows.