AI and the U.S. Core PCE: A Debate on Inflation Readings

Recently, an analysis by PIMCO has brought to light a fascinating debate regarding core Personal Consumption Expenditures (PCE) readings in the United States. According to the investment firm, recent strength in the core PCE may not reflect a generalized increase in inflation but could be linked to technological distortions in AI-related categories. The core PCE is a crucial indicator for the Federal Reserve when making monetary policy decisions. However, if these readings are distorted due to technological factors, it could significantly impact market expectations regarding future Fed policies. PIMCO estimates that underlying U.S. inflation was between 2.2% and 2.8% through June, compared with the 3.3% core PCE index used by the Federal Reserve for its inflation targets. This difference suggests a potential lower pressure on monetary policy from a neutral stance. Methodological changes planned by the BEA (Bureau of Economic Analysis) are expected to reduce reported PCE inflation by 0.2% to 0.3%. If these technological distortions are proven, this scenario would be positive for financial markets, reinforcing expectations of stable interest rates. However, if these distortions start spreading beyond AI-related categories, it could lead to a more hawkish Federal Reserve response, with negative impacts on financial markets.