AI Infrastructure investment supports U.S. economic growth, but there is currently insufficient evidence that it has produced a sustained productivity surge. Corporate cost pressures continue to rise, and inflation risks have not receded.
Robinson, Chief Economist of the Monetary Authority of Singapore, said that AI if it delivers broad-based productivity gains, central banks may be able to ease policy; however, the current investment boom is primarily boosting demand, and policy should remain moderately restrictive.
Citing Anthropic internal research, PANews says that as of August, the working hours of interactive AI agents deployed by its employees were 6 times those of humans; the company's shares of junior technical employees and junior technical-role hiring both declined.
Federal Reserve Chair Kevin Waller said that the Productivity and Employment Special Task Force will hold November 16 hearings in the San Francisco Bay Area to study AI the impact of artificial intelligence on economic activity and the labor market.
PANews cited Cathie Wood’s views on X, saying that AI falling inference costs are driving demand growth and could reduce inflation by boosting productivity.
John Williams, President of the Federal Reserve Bank of New York, said that AI could boost U.S. productivity, with an effect potentially similar to 1996 to 2005; duration remains the key variable.
LatePost reported that Doubao has recently reduced its general conversational AI and product post-training teams, reassigning some personnel toward commercialization, enterprise services, and productivity-related businesses.
Musk said that individuals may control large numbers of physical robots and digital agents in the future, driving an increase in “one-person companies,” and predicted that incomes for everyone will rise.