Since taking office as chair in May, FED Chair Kevin Warsh has clearly said he will reduce external communications and reshape how forward-looking guidance is delivered, prompting Wall Street to rapidly adjust its policy-implied forecasting tools. This week, F/m Investments rolled out an AI tool called “WarshGPT.” It analyzes nearly 1,800 documents and speech transcripts from Warsh, aiming to help users understand how he may view issues related to the economy and monetary policy.
Since taking office as FED chair in May 2026, Kevin Warsh has begun changing the FED’s forward-looking communication approach, and has explicitly said he will reduce outreach to the public—making it harder for markets to pull policy clues out of the traditional, term-heavy “FED language.”
F/m Investments’ Morris said the company is located in Washington and isn’t far from the FED headquarters, but under Warsh’s leadership, this geographic closeness ironically feels “farther.” In the past, markets often adjusted expectations in advance based on the chair’s speeches, meeting minutes, and public remarks; after communications tightened, the number of signals available for interpretation dropped noticeably.
This week, F/m Investments launched an AI tool named “WarshGPT,” which parses nearly 1,800 documents and speech records from Warsh, aiming to help users understand how he may view questions about the economy and monetary policy.
For institutions betting on interest-rate changes, the value of tools like this lies in distilling policy inclinations from limited information; F/m Investments manages ETFs tied to inflation and U.S. Treasuries, so its business model is highly sensitive to forecasting the FED’s policy path.
Industry participants say that whether a central bank releases large volumes of information or deliberately stays silent, investors must do their best to judge where policy is headed. When available information shrinks, market participants will more actively deploy every tool at their disposal.
In an interview, Gary Richardson, an economics professor at the University of California, Irvine and a former FED historian, said: “The more limited the information, the more the market will try to figure out what the FED is thinking.” Richardson’s observation points to a structural market dynamic: the rise of AI tools may not only change how traders interpret policy statements, but also change how institutions research central banks—in both process and timing.
More and more financial institutions are using AI models to look for an edge in policy interpretation, and the launch of WarshGPT is a concrete example of this trend.
As the FED reduces public forward guidance, the market’s price-discovery process may undergo the following structural changes:
Chair speeches, meeting minutes, and public remarks: as a traditional policy-implied forecasting channel, signal density has fallen significantly
Greater reliance on model- and data-based interpretation: institutional investors are forced to lean more on in-house models, macro data, and rapid reactions to a small set of signals
AI tools enter the policy-interpretation workflow: tools like WarshGPT become supplemental methods in an environment of scarce information
Potential amplification of volatility in expectations for rate-sensitive assets: if visibility continues to decline, uncertainty in pricing for assets tied to rates and inflation may rise
WarshGPT is an AI tool launched this week by F/m Investments. It can parse nearly 1,800 documents and speech records from FED Chair Kevin Warsh, with the goal of helping users understand how he may view issues related to the economy and monetary policy; F/m Investments manages ETFs tied to inflation and U.S. Treasuries.
Kevin Warsh took office as FED chair in May 2026. He has clearly said he will reduce external communications, which differs from the more frequent approach used by prior chairs in issuing forward guidance; this makes it harder for markets to extract policy clues from “FED language.”
Gary Richardson is currently an economics professor at the University of California, Irvine and has also served as a FED historian, giving him both academic and practical experience in researching the FED’s communication strategies. His viewpoint provides an academic perspective on the structural features of market behavior when FED information decreases.
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