AI exposure: Fast Food and Counter Workers
Perform duties such as taking orders and serving food and beverages. Serve customers at counter or from a steam table. May take payment. May prepare food and beverages.
Reading this score
computedAt 18.9% of weighted task load, Fast Food and Counter Workers sits at the 33th percentile, below the point where a job's centre of gravity has moved. 73.9% 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 27 tasks it averages 2.39 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 Accept payment from customers, and make change as necessary, at 80.0%. The least is Arrange tables and decorations according to instructions, 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 6 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 27 tasks, 7 are currently banded exposed, 0 assisted and 20 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 | 0.99 | 0-4 |
| Embodiment | 2.39 | 0-3 |
| Presence | 0.68 | 0-3 |
| Accountability | 0.40 | 0-3 |
| Context | 0.78 | 0-3 |
| Verification cost | 0.52 | 0-3 |
Task by task
27 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Accept payment from customers, and make change as necessary. | 80.0% | 20.0% | 0.0% | 4.41 | exposed |
| Monitor and order supplies or food items, and restock as necessary to maintain inventory. | 80.0% | 20.0% | 0.0% | 4.16 | exposed |
| Balance receipts and payments in cash registers. | 73.3% | 26.7% | 0.0% | 4.33 | exposed |
| Notify kitchen personnel of shortages or special orders. | 55.0% | 20.0% | 25.0% | 3.94 | exposed |
| Take customers' orders and write ordered items on tickets, giving ticket stubs to customers when needed to identify filled orders. | 55.0% | 20.0% | 25.0% | 3.89 | exposed |
| Communicate with customers regarding orders, comments, and complaints. | 50.0% | 25.0% | 25.0% | 4.31 | exposed |
| Request and record customer orders, and compute bills, using cash registers, multi-counting machines, or pencil and paper. | 45.9% | 20.7% | 33.3% | 4.37 | exposed |
| Deliver orders to kitchens, and pick up and serve food when it is ready. | 25.0% | 12.5% | 62.5% | 3.73 | untouched |
| Plan, prepare, and deliver meals to individuals with special dietary needs. | 9.6% | 7.0% | 83.3% | 3.82 | untouched |
| Perform personnel activities, such as supervising and training employees. | 8.3% | 16.7% | 75.0% | 4.40 | untouched |
| Serve customers in eating places that specialize in fast service and inexpensive carry-out food. | 0.0% | 0.0% | 100.0% | 4.41 | untouched |
| Serve food, beverages, or desserts to customers in such settings as take-out counters of restaurants or lunchrooms, business or industrial establishments, hotel rooms, and cars. | 0.0% | 0.0% | 100.0% | 4.18 | untouched |
| Perform cleaning duties, such as sweeping, mopping, and washing dishes, to keep equipment and facilities sanitary. | 0.0% | 0.0% | 100.0% | 4.15 | untouched |
| Brew coffee and tea, and fill containers with requested beverages. | 0.0% | 0.0% | 100.0% | 4.14 | untouched |
| Clean and organize eating, service, and kitchen areas. | 0.0% | 0.0% | 100.0% | 4.13 | untouched |
| Prepare daily food items, and cook simple foods and beverages, such as sandwiches, salads, soups, pizza, or coffee, using proper safety precautions and sanitary measures. | 0.0% | 0.0% | 100.0% | 4.06 | untouched |
| Prepare and serve cold drinks, frozen milk drinks, or desserts, using drink-dispensing, milkshake, or frozen-custard machines. | 0.0% | 0.0% | 100.0% | 4.04 | untouched |
| Wrap menu items such as sandwiches, hot entrees, and desserts for serving or for takeout. | 0.0% | 0.0% | 100.0% | 4.00 | untouched |
| Set up dining areas for meals, and clear them following meals. | 0.0% | 0.0% | 100.0% | 3.89 | untouched |
| Collect and return dirty dishes to the kitchen for washing. | 0.0% | 0.0% | 100.0% | 3.79 | untouched |
| Scrub and polish counters, steam tables, and other equipment, and clean glasses, dishes, and fountain equipment. | 0.0% | 0.0% | 100.0% | 3.78 | untouched |
| Add relishes and garnishes to food orders, according to instructions. | 0.0% | 0.0% | 100.0% | 4.32 | untouched |
| Distribute food to servers. | 0.0% | 0.0% | 100.0% | 4.15 | untouched |
| Select food items from serving or storage areas and place them in dishes, on serving trays, or in take-out bags. | 0.0% | 0.0% | 100.0% | 4.14 | untouched |
| Replenish foods at serving stations. | 0.0% | 0.0% | 100.0% | 3.81 | untouched |
| Wash dishes, glassware, and silverware after meals. | 0.0% | 0.0% | 100.0% | 3.78 | untouched |
| Arrange tables and decorations according to instructions. | 0.0% | 0.0% | 100.0% | 3.56 | 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.