Economists are divided on whether artificial intelligence (AI) will transform the U.S. job market similarly to the 'China shock.' Thorsten Schlock, Chief Economist at Apollo, argues that AI will initially cause job reallocation but ultimately boost productivity and create more employment, particularly affecting cognitive and white-collar jobs. Schlock compares AI's potential impact to the 'China shock,' which increased U.S. manufacturing productivity by 50% from 2001 to 2024. Conversely, economist David Autor contends that AI's impact will differ from the China trade shock, affecting specific job functions rather than entire industries. Autor suggests AI will reorganize roles by function, potentially leading to broader impacts without eliminating entire occupations. Despite limited evidence of large-scale job losses, some tech companies, like Snap and Klarna, have cited AI as a reason for workforce reductions. The debate centers on how AI will reshape job structures and whether productivity gains will offset short-term displacement effects.