Tracking inflation beats natural rate rules during AI transition
Artificial intelligence creates ambiguous inflation pressures depending on adoption speed, according to a Banca d'Italia study published in October 2026. Researchers find that reacting to realized inflation stabilizes output far better than tracking unobservable natural interest rates.
Four trajectories for productivity
Using a New Keynesian model calibrated to the euro area, Lucia Esposito, Andrea Fabiani, Elia Moracci, Andrea Papetti, and Massimiliano Pisani examine four AI scenarios.
An immediate 1 percent jump in total factor productivity proves disinflationary because supply outpaces consumption and investment, which face adjustment costs.
Conversely, a gradual 1 percent productivity gain over five years generates inflation as demand anticipates future wealth before supply expands.
A 0.3 percentage point increase in trend labor productivity growth permanently lifts the annualized natural rate from 1.4 to 1.7 percent.
A temporary 1 percent boost to investment efficiency spurs persistent price pressures.
The risk of premature tightening
The policy simulations evaluate three Taylor-type interest rate rules.
Central banks encounter severe stabilization risks when anchoring policy to long-run equilibrium real rates during structural transitions.
When trend productivity growth accelerates, raising the policy rate immediately to its eventual steady state induces premature tightening, pushing output into contraction.
Conversely, rules that track contemporaneous natural rates or aggressively penalize inflation deviations with a response coefficient of 5.0 avoid deep policy mistakes and prevent macroeconomic volatility.
Pragmatism over theoretical mirages
Relying on theoretical equilibrium rates during rapid structural transformation invites policy error.
Central bankers cannot observe the natural rate in real time, making unobservable benchmarks a perilous compass.
Focusing directly on hard inflation data remains the only reliable defense against macroeconomic volatility.