π‘ Archivists have a composite risk score of 67/100 (Frey-Osborne probability: 76%, GenAI exposure: 95/100). With 7,050 workers in the US, this is one of the most AI-vulnerable occupations. Full occupation profile β
π― The Verdict
Likely for many tasks. The role will look very different in 5β10 years.
With 7,050 workers and a median wage of $62K,archivists represent a significant portion of the US workforce. Their GenAI exposure index is 95%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
67/100
Employment
7,050
Median Wage
$62K
GenAI Exposure
95%
β οΈ Top Risk Factors
AI tutoring systems providing personalized instruction
Automated data interpretation and insight generation
Automated grading and assessment tools
Adaptive learning technology replacing remedial roles
π‘οΈ Tasks AI Can't Easily Replace
Mentoring students through personal and academic challenges
Inspiring and motivating students through personal connection
Developing creative and engaging hands-on lessons
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Postsecondary Teachers
75% skills overlap Β· $82K median wage
Postsecondary Teachers, All Other
75% skills overlap Β· $78K median wage
Teachers and Instructors, All Other
73% skills overlap Β· $65K median wage
β Frequently Asked Questions
Will AI completely replace archivists?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for archivists?
Archivists have a composite AI automation risk score of 67 out of 100, classified as "High Risk".
How many archivists are there in the US?
There are approximately 7,050 archivists employed in the United States.
What do archivists earn?
The median annual wage for archivists is $62K.
What skills should archivists develop?
Focus on tasks AI can't easily replicate: mentoring students through personal and academic challenges, inspiring and motivating students through personal connection, developing creative and engaging hands-on lessons. These human-centric skills will become more valuable as routine tasks are automated.