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Federal data × LLM scoring

AI Career Stats

Bartenders: daily tasks & AI impact

This page breaks Bartenders into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 17/100 (Lower automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.

0 highly automatable 0 safer / physical Back to risk score Alternative careers

High-automation exposure

No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.

Durable human work

This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.

Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.

Task Importance AI probability Nature
Clean glasses, utensils, and bar equipment. Core 4.8
Collect money for drinks served. Core 4.79
Balance cash receipts. Core 4.74
Check identification of customers to verify age requirements for purchase of alcohol. Core 4.74
Clean bars, work areas, and tables. Core 4.68
Attempt to limit problems and liability related to customers' excessive drinking by taking steps such as persuading customers to stop drinking, or ordering taxis or other transportation for intoxicated patrons. Core 4.62
Take beverage orders from serving staff or directly from patrons. Core 4.61
Serve wine, and bottled or draft beer. Core 4.54
Plan, organize, and control the operations of a cocktail lounge or bar. Core 4.49
Stock bar with beer, wine, liquor, and related supplies such as ice, glassware, napkins, or straws. Core 4.46
Serve snacks or food items to customers seated at the bar. Core 4.39
Mix ingredients, such as liquor, soda, water, sugar, and bitters, to prepare cocktails and other drinks. Core 4.33
Slice and pit fruit for garnishing drinks. Core 4.03
Ask customers who become loud and obnoxious to leave, or physically remove them. Core 3.83
Arrange bottles and glasses to make attractive displays. Core 3.81

What remains human

No tasks currently fall under the safe threshold for this occupation.

FAQ

Which Bartenders tasks are most exposed to AI?

No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.

Which Bartenders tasks are safest from Generative AI?

This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.

How should I read the Bartenders task table?

Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.

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