Harvard economist’s AI research site highlights shifting economics workflow

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Harvard economist AI research site

Highlights

Jason Furman launched Econvitals, a site leveraging Anthropic’s Claude and OpenAI’s Codex to automate broad economic analysis tasks previously requiring thousands of person-hours and seven-figure budgets.
Econvitals uses AI to analyze Federal Reserve officials’ speeches, summarize research and data, and generate economic papers from short prompts, demonstrating rising AI reliability for factual economics work under supervision.
Furman states current AI systems already outperform many human functions in economic policy analysis, shifting value for economists and prompting institutions to reconsider oversight and differentiation strategies.

Furman site showcases AI research capacity

As first reported by Axios, Jason Furman has launched Econvitals, a site that combines data, analysis and AI-generated economic research tools. Furman, a former top White House economist under President Barack Obama and now a Harvard professor, says the project offers a practical example of how AI is already handling a growing share of routine economics work.

The site went live Friday and was built with help from research assistants, Anthropic’s Claude and cross-checking by OpenAI’s Codex. Furman says the platform delivers broad analysis that previously could have required thousands of person-hours and a seven-figure budget.

Econvitals includes AI analysis of Federal Reserve officials’ speeches to assess how hawkish or dovish they are and how their views change over time. It also generates email-style notes summarizing economic research and recent data, and includes examples of economic papers created entirely from short prompts.

Furman argues that, when properly supervised with fact-checking agents, AI systems are now more reliable on factual work than humans. He adds that the technology still falls short of the best human researchers in creativity and originality, even as the boundary between routine and advanced analysis keeps moving with each new model release.

Implications for policy teams and economics jobs

Furman says he would now rely heavily on AI if he were running the White House Council of Economic Advisers. In his view, current AI systems already outperform many human staff functions tied to the core analytical work of economic policy, while people remain necessary for meetings, media engagement and communication with Congress.

That stance underscores a broader shift for the economics profession, from elite academic departments to think tanks and research shops. The change raises questions about how institutions oversee AI-generated analysis and where economists can still provide distinctive value.

For students and early-career researchers, Furman’s message is that simply repackaging and reinterpreting data may no longer be enough. He says future value will come from work that is more unique and differentiated, as AI becomes increasingly effective at standard research and synthesis tasks.

Our earlier article on KPMG’s CEO survey examined how large U.S. companies are seeing early, mostly incremental gains from AI agents, with only a small share calling the technology transformational so far. It also highlighted that executives largely expect AI to drive hiring, retraining, and sustained investment—rather than immediate job cuts—as firms modernize processes and build the data and engineering capacity needed to scale agentic tools.

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