
"The American AI Jobs Risk Index—an analysis mapping the economic and geographic impact of AI job risk across 784 occupations—shows exactly where the white-collar workers most threatened by AI displacement live. Bhaskar Chakravorti, the dean of global business at Tufts University’s Fletcher School and the study’s lead researcher, said that with the proper organization, these workers will become a stronger political force than any the U.S. has seen in recent decades. This geographical concentration, which he terms the “Wired Belt,” includes the suburban rings surrounding America’s biggest metros, many of which exist in swing states."
"“These are people who are on LinkedIn,” he told Fortune. “They know their congressman’s phone number. They’re good at writing, web design, data analysis, marketing. Their political activism is likely to be much more forceful.” The looming threat of AI automation has struck a chord with millions of Americans. A recent NBC News poll found the technology is less popular than President Donald Trump and Immigration and Customs Enforcement, even after its deadly Minneapolis crackdown."
"The study estimates that 9.3 million jobs are vulnerable to AI automation across the country. That amounts to a towering $200 billion in lost income. In an extreme scenario where AI is able to replace a large"
An analysis of AI job risk across 784 occupations maps where economic and geographic impacts are most likely. The findings identify a “Wired Belt” that includes suburban rings around major U.S. metros, many located in swing states. The study estimates 9.3 million jobs are vulnerable to AI automation nationwide, representing about $200 billion in lost income in a high-impact scenario. The report links the concentration of at-risk white-collar workers to greater political mobilization, citing their digital connectivity, communication skills, and ability to organize. It also notes that public concern about AI includes cybersecurity, environmental effects, and fears that knowledge work will be automated.
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