How is AI impacting my job?
Check Your Career's AI Resilience Report
The future of work is changing fast with AI. This tool gives you a snapshot of how all U.S. occupations may be affected based on today's best available data. Search any occupation to get started.
What is AI resilience?
AI resilience is the degree to which an occupation continues to offer sustained economic opportunity, employer demand, and meaningful human contribution as AI transforms tasks.
We measure it by combining data from the Bureau of Labor Statistics (BLS), Anthropic, Microsoft, and Will Robots Take My Job (WRTMJ), and our own internal model to broadly assess AI's impact on 1,597 careers… read more here
Score Range
0~30%
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
Score Range
30~70%
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
Score Range
70~100%
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Score Rankings
Rankings based on careers with complete data from all four AI impact assessment sources
Occupation
AI Resilience Score
Result
Massage Therapists
88.1%
88.1%
Stable
Heating, Air Conditioning, and Refrigeration Mechanics and Installers
83.2%
83.2%
Stable
Plumbers, Pipefitters, and Steamfitters
82.8%
82.8%
Stable
Electricians
82.2%
82.2%
Stable
Veterinary Assistants and Laboratory Animal Caretakers
80.1%
80.1%
Stable
Physician Assistants
80.0%
80.0%
Stable
Mental Health and Substance Abuse Social Workers
79.3%
79.3%
Stable
First-Line Supervisors of Construction Trades and Extraction Workers
78.7%
78.7%
Stable
Exercise Trainers and Group Fitness Instructors
78.6%
78.6%
Stable
Veterinary Technologists and Technicians
78.4%
78.4%
Stable
Acknowledgments
We gratefully acknowledge the individuals and organizations who contributed to this project. Expand to view.
- Data Providers: Data and insights are provided by the Bureau of Labor Statistics (BLS), Anthropic, Microsoft, Will Robots Take My Job, and independent researchers. Special thanks to the following people for making their results available: Kiran Tomlinson, Sonia Jaffe, Will Wang, Siddharth Suri, and Scott Counts, Mark Kowalczyk, Sam Manning, Tomás Aguirre Lessa Vaz, the Anthropic Economic Research team.
- Development & design: This website was brought to life by the technical expertise of Sandbox Web. Special thanks to Zack Notes, Dominic Guaragna, and Hongruo Yin.
- Reviewers & thought partners: Special thanks to the researchers, industry experts, educators, and other thought partners who have provided feedback or thought partnership: Bharat Chandar, Kerry McKittrick, Shad Ahmed, Maxim Massenkoff and the Anthropic Economic Research team, Scott Gullick, Fabien Curto Millet, Aneesh Raman, Tomás Aguirre Lessa Vaz, Kat Toomey, Cameryn Mitchell, Hector Morales, Ivan Salazar, and others. Please note that reviewers do not necessarily endorse the methodology or the results.
