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
Changing fastScore 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.
EvolvingScore 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.
StableScore 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
Acupuncturists
89.9%
89.9%
Stable
Dentists, General
89.2%
89.2%
Stable
Recreational Therapists
88.8%
88.8%
Stable
Mental Health and Substance Abuse Social Workers
86.2%
86.2%
Stable
Physician Assistants
84.2%
84.2%
Stable
Chiropractors
83.2%
83.2%
Stable
Morticians, Undertakers, and Funeral Arrangers
83.0%
83.0%
Stable
Pediatricians, General
82.6%
82.6%
Stable
Plumbers, Pipefitters, and Steamfitters
82.5%
82.5%
Stable
Psychiatrists
81.5%
81.5%
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.
