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Federal Reserve Governor Christopher J. Waller said FRED traffic is growing 150% a year, with about half of visits coming from AI agents retrieving data. That raises practical questions about attribution and interpretation—not evidence of a breach. Separately, JPMorgan Chase CEO Jamie Dimon warned in an April 2026 report that AI could displace workers and increase the likelihood of a large-scale cyberattack. The cited reporting does not connect Dimon’s warning to FRED.
What Waller said about AI and FRED traffic
At FRED Con on October 1, 2026, Federal Reserve Governor Christopher J. Waller described a sharp rise in traffic to FRED, the Federal Reserve Bank of St. Louis’s public economic-data platform. “It is presently growing 150 percent a year, with most of that growth from AI and bots,” he said. Waller also said about half of visits were from AI agents retrieving data. Read Waller’s speech.
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These are figures from Waller’s account of FRED traffic, not a general measure of bot activity across the internet. The cited material provides no independent measurement or historical series with which to verify the figures, so they are best treated as his reported estimates rather than independently audited counts.
Why AI access raises data-quality questions
AI systems can make economic data easier to find and explain, but retrieving a number is not the same as preserving its context. Waller said FRED managers did not know whether AI agents consistently credited the original data publisher or FRED. “AI may not accurately cite the sources for data,” he said. His speech also discusses the risks and benefits of AI-assisted data access.
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- Attribution: An answer may identify FRED without naming the agency or other original publisher that produced the data.
- Interpretation: An agent can misread a series or imply causation where the evidence shows only correlation.
- Other AI limitations: Waller also identified hallucinations, bias, and hidden assumptions as risks.
These are concerns about quality and provenance, not proof that AI answers are uniformly unreliable. Waller reported that in testing, agents had generally described visualizations and explained complex concepts accurately.
How FRED is adapting its data access
FRED’s October 4, 2026 explainer describes an MCP connector that allows compatible AI assistants to interact with FRED data. The connector is intended to support these tasks:
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- Search for economic data.
- Inspect metadata and methodology notes.
- Retrieve observations for selected dates and apply transformations.
- Create CSV or JSON download links.
- Render FRED graphs that link back to the site.
FRED’s examples include asking how unemployment changed since the start of the year, requesting year-over-year consumer-price inflation, and comparing mortgage rates with the 10-year Treasury yield. These are examples of the connector’s described functions, not independent performance test results. See FRED’s MCP connector explainer.
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Waller also said FRED was developing skills for AI agents and working to connect current data more effectively with archival resources. ALFRED preserves earlier versions of economic data, which matters when statistics are revised; FRASER is the Federal Reserve archival library. These resources can help supply historical context, but the cited sources do not establish that every AI answer will use them.
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What Dimon’s warning does—and does not—say about FRED
In an April 2, 2026 report, Axios said JPMorgan Chase chairman and CEO Jamie Dimon warned that AI could displace many workers in the medium term and increase the likelihood of a large-scale cyberattack. Read Axios’s report.
That is a broader warning about potential economic and security consequences of AI. The cited Axios report does not tie Dimon’s remarks to FRED, and the FRED sources describe increased traffic, attribution and interpretation challenges, and new access tools—not a confirmed breach or outage caused by AI agents. The two developments should not be read as cause and effect.
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