π‘ Gambling Dealers have a composite risk score of 76/100 (Frey-Osborne probability: 96%, GenAI exposure: 95/100). With 82,980 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 82,980 workers and a median wage of $33K,gambling dealers 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
76/100
Employment
82,980
Median Wage
$33K
GenAI Exposure
95%
β οΈ Top Risk Factors
Robotic massage and physical therapy devices
Automated data interpretation and insight generation
AI-powered research and literature review tools
AI summarization replacing manual report compilation
Automated booking and client management platforms
π‘οΈ Tasks AI Can't Easily Replace
Adapting techniques to individual body types and preferences
Building trust and rapport with repeat clients
Personalized hands-on service requiring tactile skill
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Tour and Travel Guides
83% skills overlap Β· $37K median wage
Concierges
79% skills overlap Β· $37K median wage
Social Workers, All Other
53% skills overlap Β· $69K median wage
β Frequently Asked Questions
Will AI completely replace gambling dealers?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for gambling dealers?
Gambling Dealers have a composite AI automation risk score of 76 out of 100, classified as "High Risk".
How many gambling dealers are there in the US?
There are approximately 82,980 gambling dealers employed in the United States.
What do gambling dealers earn?
The median annual wage for gambling dealers is $33K.
What skills should gambling dealers develop?
Focus on tasks AI can't easily replicate: adapting techniques to individual body types and preferences, building trust and rapport with repeat clients, personalized hands-on service requiring tactile skill. These human-centric skills will become more valuable as routine tasks are automated.