Gini Loh System Tools

AI Automation Index

Will AI Replace Bartenders?

Task-level automation exposure for Bartenders: 20 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

28% weighted task index

20 of 20 tasks scored

Median Salary

$34,340 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

756,390 people hold this job — size, not growth

Projected 2025–35

+5.0% employment change

121,200 openings a year · BLS line item

Pay by state

BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$19,370 – $76,490

Highest medians

Hawaii $76,490
Virgin Islands $61,380
New York $61,210
Washington $55,830
District of Columbia $53,920

Lowest medians

South Carolina $19,370
Guam $20,700
Louisiana $20,850
Iowa $21,720
Wyoming $22,030

State figures come from the 35-3011 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 28%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 63%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 22%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 13%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 0/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

20 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 22%

4 tasks

Medium exposure (≥ 35%) 6%

2 tasks

Low exposure (below 35%) 72%

14 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Emerging & rewritten tasks

Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.

  • New 07/2017 · Incumbent

    Provide customers with directions or answers to questions.

Constituent Tasks

#2227 · Core · 7% automatable

Clean glasses, utensils, and bar equipment.

physical manipulation — Hands-on dishwashing of physical tableware

Clean tableware.
#2223 · Core · 70% automatable

Collect money for drinks served.

data analysis — Billing and payment processing largely automated

Process customer bills or payments.
#2225 · Core · 80% automatable

Balance cash receipts.

data analysis — Balancing receipts is arithmetic, human handles discrepancies

Balance receipts.
#2224 · Core · 15% automatable

Check identification of customers to verify age requirements for purchase of alcohol.

interpersonal — Enforcing rules requires human presence and authority

Enforce rules or regulations.
#2230 · Core · 5% automatable

Clean bars, work areas, and tables.

physical manipulation — Physical cleaning of food service surfaces

Clean food service areas.
#2226 · Core · 33% automatable

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.

interpersonal — Satisfaction requires human relationship and accountability

Enforce rules or regulations. Communicate with customers to resolve complaints or ensure satisfaction.
#2228 · Core · 70% automatable

Take beverage orders from serving staff or directly from patrons.

interpersonal — Order taking automatable; customer rapport partly human

Take customer orders.
#2229 · Core · 4% automatable

Serve wine, and bottled or draft beer.

physical manipulation — Carrying and serving food by hand

Serve food or beverages.
#2237 · Core · 28% automatable

Plan, organize, and control the operations of a cocktail lounge or bar.

interpersonal — Food service management is live operational leadership

Manage food service operations or parts of operations.
#18735 · Core · 8% automatable

Stock bar with beer, wine, liquor, and related supplies such as ice, glassware, napkins, or straws.

physical manipulation — Physically stocking serving stations and dining areas

Stock serving stations or dining areas with food or supplies.
#2232 · Core · 4% automatable

Serve snacks or food items to customers seated at the bar.

physical manipulation — Carrying and serving food by hand

Serve food or beverages.
#2231 · Core · 12% automatable

Mix ingredients, such as liquor, soda, water, sugar, and bitters, to prepare cocktails and other drinks.

physical manipulation — Physical mixing of ingredients by hand

Mix ingredients.
#2235 · Core · 5% automatable

Slice and pit fruit for garnishing drinks.

physical manipulation — Manual food preparation

Prepare foods for cooking or serving.
#2234 · Core · 15% automatable

Ask customers who become loud and obnoxious to leave, or physically remove them.

interpersonal — Enforcing rules requires human presence and authority

Enforce rules or regulations.
#2236 · Core · 5% automatable

Arrange bottles and glasses to make attractive displays.

physical manipulation — Physically arranging tables and furniture

Arrange tables or dining areas.
#2241 · Core · 40% automatable

Create drink recipes.

decision support — Recipe ideas generated; taste and kitchen execution human

Create new recipes or food presentations.
#2238 · Supplemental · 30% automatable

Supervise the work of bar staff and other bartenders.

interpersonal — Coordinating food service staff is live supervisory work

Coordinate activities of food service staff.
#2233 · Supplemental · 75% automatable

Order or requisition liquors and supplies.

decision support — Ordering via systems automatable; human approves spend

Order materials, supplies, or equipment.
#2239 · Supplemental · 55% automatable

Plan bar menus.

text generation — Menu drafts aided; cost and kitchen constraints human

Plan menu options.
#2240 · Supplemental · 6% automatable

Prepare appetizers such as pickles, cheese, and cold meats.

physical manipulation — Cooking requires hands-on manipulation of real food

Cook foods.
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Community Sentiment

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Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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