π‘ Clergy have a composite risk score of 31/100 (Frey-Osborne probability: 1%, GenAI exposure: 81/100). With 58,080 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 58,080 workers and a median wage of $61K,clergy represent a significant portion of the US workforce. Their GenAI exposure index is 81%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
31/100
Employment
58,080
Median Wage
$61K
GenAI Exposure
81%
β οΈ Top Risk Factors
AI coding assistants reducing developer demand
AI summarization replacing manual report compilation
AI-powered research and literature review tools
π‘οΈ Tasks AI Can't Easily Replace
Deep empathetic engagement with vulnerable populations
Navigating complex family and community dynamics
Cultural sensitivity in diverse community contexts
Advocacy and relationship-building with institutions
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Social Workers, All Other
78% skills overlap Β· $69K median wage
Dentists, All Other Specialists
66% skills overlap Β· $226K median wage
Substance Abuse, Behavioral Disorder, and Mental Health Counselors
81% skills overlap Β· $59K median wage
β Frequently Asked Questions
Will AI completely replace clergy?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for clergy?
Clergy have a composite AI automation risk score of 31 out of 100, classified as "Moderate".
How many clergy are there in the US?
There are approximately 58,080 clergy employed in the United States.
What do clergy earn?
The median annual wage for clergy is $61K.
What skills should clergy develop?
Focus on tasks AI can't easily replicate: deep empathetic engagement with vulnerable populations, navigating complex family and community dynamics, cultural sensitivity in diverse community contexts, advocacy and relationship-building with institutions. These human-centric skills will become more valuable as routine tasks are automated.