π‘ Religious Workers have a composite risk score of 35/100 (Frey-Osborne probability: 40%, GenAI exposure: 35/100). With 91,710 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 91,710 workers and a median wage of $59K,religious workers represent a significant portion of the US workforce. Their GenAI exposure index is 35%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
35/100
Employment
91,710
Median Wage
$59K
GenAI Exposure
35%
β οΈ Top Risk Factors
AI translation and accessibility tools reducing interpreter needs
Automated eligibility assessment for social programs
Data analytics optimizing community program delivery
π‘οΈ Tasks AI Can't Easily Replace
Advocacy and relationship-building with institutions
Cultural sensitivity in diverse community contexts
Crisis intervention requiring immediate human judgment
Navigating complex family and community dynamics
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Social Workers, All Other
71% skills overlap Β· $69K median wage
Substance Abuse, Behavioral Disorder, and Mental Health Counselors
84% skills overlap Β· $59K median wage
Dentists, All Other Specialists
54% skills overlap Β· $226K median wage
β Frequently Asked Questions
Will AI completely replace religious workers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for religious workers?
Religious Workers have a composite AI automation risk score of 35 out of 100, classified as "Moderate".
How many religious workers are there in the US?
There are approximately 91,710 religious workers employed in the United States.
What do religious workers earn?
The median annual wage for religious workers is $59K.
What skills should religious workers develop?
Focus on tasks AI can't easily replicate: advocacy and relationship-building with institutions, cultural sensitivity in diverse community contexts, crisis intervention requiring immediate human judgment, navigating complex family and community dynamics. These human-centric skills will become more valuable as routine tasks are automated.