π‘ Funeral Attendants have a composite risk score of 41/100 (Frey-Osborne probability: 37%, GenAI exposure: 53/100). With 30,560 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 30,560 workers and a median wage of $35K,funeral attendants represent a significant portion of the US workforce. Their GenAI exposure index is 53%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
41/100
Employment
30,560
Median Wage
$35K
GenAI Exposure
53%
β οΈ Top Risk Factors
AI fitness coaching apps displacing personal trainers
AI-powered skincare and beauty recommendation apps
Virtual try-on technology reducing in-person consultations
Automated booking and client management platforms
π‘οΈ Tasks AI Can't Easily Replace
Emotional support and active listening during sessions
Building trust and rapport with repeat clients
Personalized hands-on service requiring tactile skill
Adapting techniques to individual body types and preferences
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Tour and Travel Guides
73% skills overlap Β· $37K median wage
Concierges
84% skills overlap Β· $37K median wage
Social Workers, All Other
63% skills overlap Β· $69K median wage
β Frequently Asked Questions
Will AI completely replace funeral attendants?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for funeral attendants?
Funeral Attendants have a composite AI automation risk score of 41 out of 100, classified as "Elevated".
How many funeral attendants are there in the US?
There are approximately 30,560 funeral attendants employed in the United States.
What do funeral attendants earn?
The median annual wage for funeral attendants is $35K.
What skills should funeral attendants develop?
Focus on tasks AI can't easily replicate: emotional support and active listening during sessions, building trust and rapport with repeat clients, personalized hands-on service requiring tactile skill, adapting techniques to individual body types and preferences. These human-centric skills will become more valuable as routine tasks are automated.