AI Puts 9 Million US Jobs at High Risk, New Tufts University Study Finds

AI Puts 9 Million US Jobs at High Risk, New Tufts University Study Finds

April 3, 2026

The rapid advancement of artificial intelligence (AI) is poised to trigger a significant transformation in the U.S. labor market. A new report from Tufts University, titled the "American AI Jobs Risk Index," reveals that over 9 million American jobs face a high risk of being displaced by AI within the next two to five years. This potential disruption could lead to a staggering loss of household income, estimated to be between $200 billion and $1.5 trillion, signaling severe socio-economic consequences.

The comprehensive study evaluated approximately 800 occupations, assigning each an "exposure score" to rank its vulnerability to automation by AI. Among the jobs identified as most at risk are those traditionally requiring a high level of expertise, such as computer programmers, web designers, and data scientists. The report designates 33 occupations as being at a "tipping point," emphasizing the urgent need for proactive measures.

Bhaskar Chakravorti, Dean of Global Business at Tufts University, issued a stark warning: "We already know that AI is not just automating routine tasks — it is moving up, targeting the cognitive and analytical work that defines high-skill, high-wage careers." He further elaborated that "the jobs of the future will be secured by those with a combination of subject-matter expertise, critical-thinking skills for human judgment, and knowledge of AI and how to use it," urging the workforce to adapt by acquiring new skills.

Interestingly, the occupations found to be least susceptible to AI displacement are often those involving physical labor and challenging work environments. The report notes that roles such as roofers, miners, and meat packers have a displacement risk of less than one percent. "The occupations AI cannot touch are largely those the economy has always undervalued," the study concludes, highlighting a poignant irony in the evolving job landscape.

The geographical impact of this AI-driven disruption is not uniform across the United States. The study predicts that urban centers with a high concentration of tech industries and university towns will be the most affected. "The geography of this disruption has real political consequences," Chakravorti stated. "The states and metros most at risk are already the most active in seeking AI regulation — and the federal government is telling them to stand down. That collision will define the economic and political landscape of the next decade."

This groundbreaking research underscores the critical need for a society-wide dialogue about the future of employment in the age of AI. It is imperative that individual workers develop the skills necessary to navigate this new reality. Simultaneously, a concerted effort from government and industry is required to implement comprehensive policies that support a smooth labor transition and mitigate the adverse effects of this technological revolution. The findings from the Tufts University study serve as a crucial call to action, demanding immediate attention and strategic planning to ensure a future where technology and human labor can coexist and thrive.

High-Risk vs. Low-Risk Occupations

The report provides a detailed breakdown of jobs on both ends of the spectrum.

Top 10 Most Exposed AI Jobs:

1. Web and Digital Interface Designers

2. Web Developers

3. Database Architects

4. Computer Programmers

5. Data Scientists

6. Financial Risk Specialists

7. Court Reporters and Simultaneous Captioners

8. Information Security Analysts

9. Database Administrators

10. Medical Records Specialists

Top 10 Least Exposed AI Jobs:

1. Roof Bolters, Mining

2. Excavating and Loading Machine and Dragline Operators, Surface Mining

3. Orderlies

4. Coating, Painting, and Spraying Machine Setters, Operators, and Tenders

5. Fiberglass Laminators and Fabricators

6. Surgical Assistants

7. Loading and Moving Machine Operators, Underground Mining

8. Molders, Shapers, and Casters, Except Metal and Plastic

9. Massage Therapists

10. Slaughterers and Meat Packers

This contrast further emphasizes the report's finding that manual, physical, and variable-condition work remains largely insulated from AI's reach for the foreseeable future.