July 21, 2026

5 Ways Traders Now Use AI to Outsmart the Fed

Wall Street Built an AI Just to Read the Fed Chair’s Mind — GetSmartMoneyAI

AI & Markets · Analysis

Wall Street Built an AI Just to Read the Fed Chair’s Mind

Kevin Warsh killed forward guidance. Investment firms are now training language models on his old speeches to guess his next move.

GetSmartMoneyAI · Markets Desk
July 21, 2026 · 4 min read

Fed pre-signals rate path → Fed says nothing, data leads

Parse one changed word in FOMC statement → Feed years of speeches into an AI model

VIX ~ low teens, guided calm → VIX ~18, volatility trades in favor

For 25 years, traders had a script. The Fed would signal its next move well in advance through “forward guidance,” and markets would spend weeks pricing it in before anything actually happened. New Fed Chair Kevin Warsh just tore that script up — and Wall Street’s answer has been to build AI models trained to decode him instead.

“No forward guidance. No forward guidance.”

At his global-stage debut at the ECB’s Sintra forum, Warsh was blunt when pressed for hints about the Fed’s next move: he told the moderator he was going to “disabuse” them of trying to extract guidance from him. He’s not alone in the shift — ECB President Christine Lagarde, Bank of England Governor Andrew Bailey, and Bank of Canada Governor Tiff Macklem have all voiced similar doubts about forward guidance, with Lagarde calling it her “one regret” to have felt bound by it in the past.

Warsh’s view is that forward guidance is a crisis-era tool, better suited to 2008 or 2020 than to a normal economy — and that markets have grown too dependent on the Fed doing their thinking for them. His first meeting statement was also notably shorter and less detailed than his predecessor’s, reinforcing the pullback in transparency.

Enter the AI models built to fill the gap

With the Fed going quiet, investment firms are turning to machine learning to fill in what officials won’t say out loud. F/m Investments has built a model nicknamed “WarshGPT”, trained on Warsh’s past speeches and writing, designed to anticipate his thinking and likely next moves purely from pattern-matching his own words back at him.

Instead of parsing a Fed statement for a single changed word, firms are now feeding years of one man’s speeches into a language model to simulate how he might respond to data that hasn’t happened yet.

Why this matters for your portfolio

Less Fed hand-holding means more of the market’s day-to-day moves come from raw economic data rather than pre-signaled expectations — which raises volatility risk around every major release. One trading desk noted the VIX sitting near 18 with expectations of sharp spikes around inflation prints, arguing that owning options to trade those bursts of volatility is now a more central strategy than it used to be.

The AI subplot inside the Fed itself

Warsh has pointed to AI-driven productivity gains over the last four quarters as a reason for cautious optimism on the economy, and he’s launching Fed task forces to study AI’s impact on productivity and jobs specifically — while economists like Claudia Sahm have flagged concern that he hasn’t fully grappled with how much the Fed should “get in front of” the AI trade at all.

Bottom line

The Fed used to tell markets what it was going to do. Now traders are building AI to guess — which means the AI reading the Fed is becoming almost as important a market input as the Fed itself.