Inflation remains the primary variable dictating Federal Reserve policy and bond market repricing, according to Ketaki Sharma, founder and CEO of Algorithm Research.
Sharma's thesis directly contradicts Federal Reserve Chair Kevin Warsh's recent framing, which emphasizes artificial intelligence-driven productivity gains as a structural justification for lower rates—a playbook Warsh attributes to Alan Greenspan's 1990s approach.
The market is pricing the opposite: investors are currently pricing in rate increases over the coming months, according to CME Group's FedWatch tool, which aggregates Federal Open Market Committee expectations into real-time probability distributions. This hawkish repricing persists even as Warsh constrains forward guidance.
The tension reflects a fundamental disagreement about time horizons. Warsh treats AI as a deflationary force on a multi-year horizon. Sharma treats current inflation as the binding constraint on near-term policy—a distinction with material implications for Treasury yields and short-term rates.
A secondary argument, advanced by the Mises Institute, frames the AI-productivity debate as secondary to monetary policy: sustainable prosperity from algorithmic advancement depends primarily on the interest rate regime that enables capital formation, not on the algorithms themselves.
