π‘ Recreation Workers have a composite risk score of 35/100 (Frey-Osborne probability: 1%, GenAI exposure: 71/100). With 309,640 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 309,640 workers and a median wage of $35K,recreation workers represent a significant portion of the US workforce. Their GenAI exposure index is 71%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
35/100
Employment
309,640
Median Wage
$35K
GenAI Exposure
71%
β οΈ Top Risk Factors
Generative AI producing marketing and creative copy
Automated data interpretation and insight generation
Large language model automation of analysis tasks
π‘οΈ Tasks AI Can't Easily Replace
Creative aesthetic judgment for individual clients
Personalized hands-on service requiring tactile skill
Building trust and rapport with repeat clients
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
76% skills overlap Β· $37K median wage
Concierges
72% skills overlap Β· $37K median wage
Social Workers, All Other
51% skills overlap Β· $69K median wage
β Frequently Asked Questions
Will AI completely replace recreation workers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for recreation workers?
Recreation Workers have a composite AI automation risk score of 35 out of 100, classified as "Moderate".
How many recreation workers are there in the US?
There are approximately 309,640 recreation workers employed in the United States.
What do recreation workers earn?
The median annual wage for recreation workers is $35K.
What skills should recreation workers develop?
Focus on tasks AI can't easily replicate: creative aesthetic judgment for individual clients, personalized hands-on service requiring tactile skill, building trust and rapport with repeat clients, adapting techniques to individual body types and preferences. These human-centric skills will become more valuable as routine tasks are automated.