First-ever American AI Jobs Risk Index released by Tufts University

Key Points:

• A new analysis from Tufts University's Digital Planet reveals that U.S. regions most invested in AI development, such as Silicon Valley and Boston, face the highest projected workforce displacement risk due to AI within the next two to five years, potentially affecting 9.3 million jobs and $757 billion in annual wages.
• Contrary to common beliefs that automation mainly threatens routine physical jobs, the study finds that high-skill cognitive roles in information, finance, and professional services face much higher displacement risks, with writers, programmers, and historians among the most vulnerable occupations.
• Geographic risk is concentrated in knowledge economy hubs like New York, San Francisco, and Washington D.C., with states such as Massachusetts and Washington legislating on AI at higher rates, though federal-state tensions over AI regulation could complicate responses.
• The report identifies 33 "tipping point" occupations where displacement risk could sharply increase depending on AI adoption speed, including over one million AI-related workers who themselves face significant displacement risk.
• The analysis emphasizes the need for targeted policy, retraining, and transition support in highly exposed regions and sectors, highlighting that AI-driven workforce changes may occur faster and more unevenly than previously expected.