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AI Automation Index
Task-level automation exposure for Food Service Managers: 28 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
28 of 28 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
238,430 people hold this job — size, not growth
Projected 2025–35
38,800 openings a year · BLS line item
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$42,230 – $95,190
Highest medians
Lowest medians
State figures come from the 11-9051 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
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.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
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.
28 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
12 tasks
12 tasks
4 tasks
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 →Count money and make bank deposits.
physical manipulation — In-person payment handling; some digital automation
Establish standards for personnel performance and customer service.
decision support — AI drafts policies; accountability and context are human
Keep records required by government agencies regarding sanitation or food subsidies.
text generation — Maintain compliance docs; human verifies currency
Schedule staff hours and assign duties.
decision support — Generate schedules from constraints; human resolves conflicts
Investigate and resolve complaints regarding food quality, service, or accommodations.
interpersonal — Complaint resolution needs authority and rapport
Maintain food and equipment inventories, and keep inventory records.
data analysis — Maintain operational records in structured systems
Perform some food preparation or service tasks, such as cooking, clearing tables, and serving food and drinks when necessary.
physical manipulation — Hands-on manual service tasks
Monitor budgets and payroll records, and review financial transactions to ensure that expenditures are authorized and budgeted.
decision support — AI tracks and models budgets; human owns allocation decisions
Schedule and receive food and beverage deliveries, checking delivery contents to verify product quality and quantity.
data analysis — AI plans transport schedules; human handles disruptions
Coordinate assignments of cooking personnel to ensure economical use of food and timely preparation.
interpersonal — Guest services management is live human relationship work
Organize and direct worker training programs, resolve personnel problems, hire new staff, and evaluate employee performance in dining and lodging facilities.
decision support — Performance review aided; accountability and context human
Assess staffing needs and recruit staff, using methods such as newspaper advertisements or attendance at job fairs.
decision support — Broad resource determination needs organizational judgment
Estimate food, liquor, wine, and other beverage consumption to anticipate amounts to be purchased or requisitioned.
data analysis — Cost/material estimates from data; human verifies
Monitor food preparation methods, portion sizes, and garnishing and presentation of food to ensure that food is prepared and presented in an acceptable manner.
data analysis — Procedure conformance monitoring is largely document and data based
Monitor compliance with health and fire regulations regarding food preparation and serving, and building maintenance in lodging and dining facilities.
decision support — AI tracks regulatory compliance across documents
Test cooked food by tasting and smelling it to ensure palatability and flavor conformity.
visual inspection — Material quality often needs hands-on or visual inspection
Order and purchase equipment and supplies.
decision support — Procurement drafting and comparison; human commits funds
Review work procedures and operational problems to determine ways to improve service, performance, or safety.
data analysis — Operational data analysis; manager owns decisions
Arrange for equipment maintenance and repairs, and coordinate a variety of services, such as waste removal and pest control.
physical manipulation — Facility maintenance direction requires hands-on site oversight
Monitor employee and patron activities to ensure liquor regulations are obeyed.
situated mobility — Live monitoring of people in physical settings
Greet guests, escort them to their seats, and present them with menus and wine lists.
interpersonal — Scripted info delivery, but live rapport and accountability matter
Record the number, type, and cost of items sold to determine which items may be unpopular or less profitable.
data analysis — Maintain operational records in structured systems
Plan menus and food utilization, based on anticipated number of guests, nutritional value, palatability, popularity, and costs.
interpersonal — Guest services management is live human relationship work
Review menus and analyze recipes to determine labor and overhead costs, and assign prices to menu items.
data analysis — Operational data analysis; manager owns decisions
Take dining reservations.
data analysis — AI books reservations via tools; human handles issues
Create specialty dishes and develop recipes to be used in dining facilities.
text generation — Menu drafts aided; cost and kitchen constraints human
Schedule use of facilities or catering services for events such as banquets or receptions, and negotiate details of arrangements with clients.
data analysis — AI arranges schedules; human manages real-world changes
Establish and enforce nutritional standards for dining establishments, based on accepted industry standards.
decision support — Drafts guidance; community trust and liability human
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
Do you agree with the AI automation risk score calculated for this occupation?
Method
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 →Related Article
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