AI exposure: Bartenders
Mix and serve drinks to patrons, directly or through waitstaff.
Reading this score
computedAt 22.3% of weighted task load, Bartenders sits at the 42th percentile, below the point where a job's centre of gravity has moved. 66.5% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is embodiment. Across this occupation's 20 tasks it averages 1.95 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.
The most exposed thing this job does is Collect money for drinks served, at 80.0%. The least is Prepare appetizers such as pickles, cheese, and cold meats, at 0.0%. A gap of 80.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within food preparation and serving occupations, this one is more exposed than most. The median across the 16 roles in the group is 16.1%, and only 5 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 20 tasks, 7 are currently banded exposed, 1 assisted and 12 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.40 | 0-4 |
| Embodiment | 1.95 | 0-3 |
| Presence | 1.10 | 0-3 |
| Accountability | 0.68 | 0-3 |
| Context | 1.30 | 0-3 |
| Verification cost | 0.78 | 0-3 |
Task by task
20 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Collect money for drinks served. | 80.0% | 20.0% | 0.0% | 4.79 | exposed |
| Order or requisition liquors and supplies. | 80.0% | 20.0% | 0.0% | 4.11 | exposed |
| Plan bar menus. | 80.0% | 20.0% | 0.0% | 3.63 | exposed |
| Balance cash receipts. | 73.3% | 26.7% | 0.0% | 4.74 | exposed |
| Take beverage orders from serving staff or directly from patrons. | 55.0% | 20.0% | 25.0% | 4.61 | exposed |
| Create drink recipes. | 30.0% | 20.0% | 50.0% | 3.42 | exposed |
| Plan, organize, and control the operations of a cocktail lounge or bar. | 26.7% | 23.3% | 50.0% | 4.49 | exposed |
| 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. | 23.3% | 26.7% | 50.0% | 4.62 | assisted |
| Supervise the work of bar staff and other bartenders. | 10.0% | 15.0% | 75.0% | 4.39 | untouched |
| Check identification of customers to verify age requirements for purchase of alcohol. | 6.7% | 18.3% | 75.0% | 4.74 | untouched |
| Ask customers who become loud and obnoxious to leave, or physically remove them. | 6.7% | 18.3% | 75.0% | 3.83 | untouched |
| Clean glasses, utensils, and bar equipment. | 0.0% | 0.0% | 100.0% | 4.80 | untouched |
| Clean bars, work areas, and tables. | 0.0% | 0.0% | 100.0% | 4.68 | untouched |
| Serve wine, and bottled or draft beer. | 0.0% | 0.0% | 100.0% | 4.54 | untouched |
| Stock bar with beer, wine, liquor, and related supplies such as ice, glassware, napkins, or straws. | 0.0% | 0.0% | 100.0% | 4.46 | untouched |
| Serve snacks or food items to customers seated at the bar. | 0.0% | 0.0% | 100.0% | 4.39 | untouched |
| Mix ingredients, such as liquor, soda, water, sugar, and bitters, to prepare cocktails and other drinks. | 0.0% | 0.0% | 100.0% | 4.33 | untouched |
| Slice and pit fruit for garnishing drinks. | 0.0% | 0.0% | 100.0% | 4.03 | untouched |
| Arrange bottles and glasses to make attractive displays. | 0.0% | 0.0% | 100.0% | 3.81 | untouched |
| Prepare appetizers such as pickles, cheese, and cold meats. | 0.0% | 0.0% | 100.0% | 3.13 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.