π‘ Historians have a composite risk score of 54/100 (Frey-Osborne probability: 44%, GenAI exposure: 86/100). With 3,140 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Possible. Significant task automation is underway β workers should actively upskill.
With 3,140 workers and a median wage of $74K,historians represent a significant portion of the US workforce. Their GenAI exposure index is 86%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
54/100
Employment
3,140
Median Wage
$74K
GenAI Exposure
86%
β οΈ Top Risk Factors
AI-accelerated data analysis and pattern recognition
Large language model automation of analysis tasks
AI-powered research and literature review tools
Generative AI producing marketing and creative copy
π‘οΈ Tasks AI Can't Easily Replace
Interpreting ambiguous results with domain expertise
Designing novel experiments and research methodologies
Ethical oversight of research involving human subjects
Collaborative scientific discourse and peer review
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Social Scientists and Related Workers
81% skills overlap Β· $93K median wage
Political Scientists
73% skills overlap Β· $139K median wage
Occupational Health and Safety Specialists and Technicians
71% skills overlap Β· $79K median wage
β Frequently Asked Questions
Will AI completely replace historians?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for historians?
Historians have a composite AI automation risk score of 54 out of 100, classified as "Elevated".
How many historians are there in the US?
There are approximately 3,140 historians employed in the United States.
What do historians earn?
The median annual wage for historians is $74K.
What skills should historians develop?
Focus on tasks AI can't easily replicate: interpreting ambiguous results with domain expertise, designing novel experiments and research methodologies, ethical oversight of research involving human subjects, collaborative scientific discourse and peer review. These human-centric skills will become more valuable as routine tasks are automated.