Federal Reserve Chairman Kevin Warsh officially launched a new hawkish monetary doctrine during his first testimony before the US House of Representatives Financial Services Committee on Tuesday. Warsh stressed that the central bank has “zero tolerance” for the threat of inflation that has failed to be tamed for five consecutive years, thus locking in Washington’s absolute commitment to restoring price stability.
In the official speech on Capitol Hill, Warsh confirmed the FOMC’s decision to set the status quo dollar benchmark interest rate in the range of 3.50% to 3.75% at its June meeting. Despite the surprise of the new June CPI data showing inflation slowing to 3.5%. Warsh’s assertiveness proves that the central bank will not be influenced by short-term data and is ready to maintain high borrowing costs for an extended period.
Warsh described the US macroeconomic structure as being in a healthy position, driven by growth in the blue-collar manufacturing sector and stable domestic consumption. The corporate investment sector has emerged as a key driver of commercial growth, driven by aggressive construction of physical server data centers and a surge in orders for digital infrastructure hardware and artificial intelligence (AI) software.
BEA data confirmed that overall capital spending on commercial equipment surged 8% annually, while high-tech spending jumped nearly 25% on a four-quarter basis. This surge in smart automation investment prompted Warsh to boldly predict that the “AI investment” wave will be fully assimilated and will soon be recognized as the standard for corporate “traditional investment.”
To rebuild the credibility of the battered federal financial agency, Warsh announced the launch of five emergency task forces. These units are tasked with a complete overhaul of the federal monetary operations, including the correction of the Fed’s communications system, balance sheet policy, macro data sources, the productivity impact of artificial intelligence technology, and the national inflation forecasting framework.
