π‘ Bartenders have a composite risk score of 59/100 (Frey-Osborne probability: 77%, GenAI exposure: 44/100). With 745,610 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 745,610 workers and a median wage of $34K,bartenders represent a significant portion of the US workforce. Their GenAI exposure index is 44%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
59/100
Employment
745,610
Median Wage
$34K
GenAI Exposure
44%
β οΈ Top Risk Factors
Automated food preparation and cooking robotics
AI inventory management and waste reduction
Automated dishwashing and kitchen cleaning systems
Robotic food delivery within establishments
π‘οΈ Tasks AI Can't Easily Replace
Food presentation requiring artistic and tactile skill
Managing chaotic high-volume service environments
Adapting to real-time dietary and allergy requests
Hospitality and personalized guest experiences
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Education Administrators, All Other
61% skills overlap Β· $89K median wage
Advertising, Marketing, Promotions, Public Relations, and Sales Managers
56% skills overlap Β· $145K median wage
Tour and Travel Guides
69% skills overlap Β· $37K median wage
β Frequently Asked Questions
Will AI completely replace bartenders?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for bartenders?
Bartenders have a composite AI automation risk score of 59 out of 100, classified as "Elevated".
How many bartenders are there in the US?
There are approximately 745,610 bartenders employed in the United States.
What do bartenders earn?
The median annual wage for bartenders is $34K.
What skills should bartenders develop?
Focus on tasks AI can't easily replicate: food presentation requiring artistic and tactile skill, managing chaotic high-volume service environments, adapting to real-time dietary and allergy requests, hospitality and personalized guest experiences. These human-centric skills will become more valuable as routine tasks are automated.