Solomon's words sound like a pep talk for Wall Street, but with 25% of work hours eaten up by AI, White Lead can't hold on, and grassroots positions are instead expanding due to data center construction—this script is exactly the same as the automation factory back then. The key is whether retraining can keep up; otherwise, it's just structural unemployment under a different guise.

Solomon stated in The New York Times that the market's concerns about AI causing widespread unemployment are exaggerated, and the U.S. economy will create new jobs through technological innovation. Over the next decade, AI/automation could change approximately 25% of work hours, with white-collar jobs being more significantly affected. The research also shows a decline in hiring for entry-level positions in highly automated industries, but AI also creates new demands, such as data center construction, which has added over 200k jobs since 2022. Goldman Sachs may reduce some compliance/opening positions while increasing client roles in banking, trading, and asset management. He calls on the government and businesses to promote large-scale retraining programs to address changes in the labor force structure.