Gini Loh System Tools

AI Automation Index

Will AI Replace First-Line Supervisors of Food Preparation and Serving Workers?

Task-level automation exposure for First-Line Supervisors of Food Preparation and Serving Workers: 26 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

45% weighted task index

26 of 26 tasks scored

Median Salary

$44,080 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

1,223,240 people hold this job — size, not growth

Projected 2025–35

+5.4% employment change

171,500 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.

$27,310 – $59,400

Highest medians

Washington $59,400
District of Columbia $57,170
Connecticut $52,940
Colorado $50,550
Vermont $49,820

Lowest medians

Guam $27,310
Puerto Rico $28,420
West Virginia $33,070
Arkansas $33,800
Oklahoma $35,420

State figures come from the 35-1012 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 45%

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

Physical work 8%

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

Judgment & influence 59%

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

Routine administration 8%

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 7/100 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

26 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) 25%

7 tasks

Medium exposure (≥ 35%) 38%

10 tasks

Low exposure (below 35%) 38%

9 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 →

Constituent Tasks

#2145 · Core · 50% automatable

Resolve customer complaints regarding food service.

interpersonal — Satisfaction requires human relationship and accountability

Communicate with customers to resolve complaints or ensure satisfaction.
#2146 · Core · 30% automatable

Train workers in food preparation, and in service, sanitation, and safety procedures.

physical manipulation — Food prep training is hands-on demonstration

Train food preparation or food service personnel.
#2150 · Core · 30% automatable

Assign duties, responsibilities, and work stations to employees in accordance with work requirements.

interpersonal — Coordinating food service staff is live supervisory work

Coordinate activities of food service staff.
#2157 · Core · 70% automatable

Present bills and accept payments.

data analysis — Billing and payment processing largely automated

Process customer bills or payments.
#18714 · Core · 28% automatable

Perform various financial activities, such as cash handling, deposit preparation, and payroll.

interpersonal — Food service management is live operational leadership

Manage food service operations or parts of operations.
#18715 · Core · 10% automatable

Supervise and participate in kitchen and dining area cleaning activities.

physical manipulation — Food area cleaning requires physical labor

Clean food preparation areas, facilities, or equipment.
#2155 · Core · 45% automatable

Recommend measures for improving work procedures and worker performance to increase service quality and enhance job safety.

decision support — Broad HR work needs human judgment and accountability

Perform human resources activities.
#2154 · Core · 40% automatable

Specify food portions and courses, production and time sequences, and workstation and equipment arrangements.

decision support — Timing coordination aided by AI; kitchen execution human

Coordinate timing of food production activities.
#2148 · Core · 72% automatable

Control inventories of food, equipment, smallware, and liquor, and report shortages to designated personnel.

data analysis — Inventory tracking and reorder logic largely automatable

Maintain food, beverage, or equipment inventories.
#18716 · Core · 40% automatable

Observe and evaluate workers and work procedures to ensure quality standards and service, and complete disciplinary write-ups.

decision support — Broad HR work needs human judgment and accountability

Monitor food services operations to ensure procedures are followed. Perform human resources activities.
#2153 · Core · 28% automatable

Analyze operational problems, such as theft and wastage, and establish procedures to alleviate these problems.

interpersonal — Food service management is live operational leadership

Manage food service operations or parts of operations.
#2147 · Core · 22% automatable

Inspect supplies, equipment, and work areas to ensure efficient service and conformance to standards.

visual inspection — Physical conformance inspection of facilities/equipment

Inspect facilities, equipment or supplies to ensure conformance to standards.
#2156 · Core · 30% automatable

Greet and seat guests, and present menus and wine lists.

interpersonal — Menu presentation is live service interaction

Present food or beverage information or menus to customers. Assist customers with seating arrangements.
#2167 · Core · 45% automatable

Evaluate new products for usefulness and suitability.

visual inspection — Material quality often needs hands-on or visual inspection

Evaluate quality of materials or products.
#2144 · Supplemental · 80% automatable

Compile and balance cash receipts at the end of the day or shift.

data analysis — Balancing receipts is arithmetic, human handles discrepancies

Balance receipts.
#2158 · Supplemental · 58% automatable

Forecast staff, equipment, and supply requirements, based on a master menu.

data analysis — Food prep estimates from menus; chef adjusts

Estimate supplies, ingredients, or staff requirements for food preparation activities.
#18721 · Supplemental · 55% automatable

Assess nutritional needs of patients, plan special menus, supervise the assembly of regular and special diet trays, and oversee the delivery of food trolleys to hospital patients.

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

Plan menu options.
#18719 · Supplemental · 82% automatable

Record production, operational, and personnel data on specified forms.

data analysis — Record production data into structured logs

Record operational or production data.
#18717 · Supplemental · 38% automatable

Perform personnel actions, such as hiring and firing staff, providing employee orientation and training, and conducting supervisory activities, such as creating work schedules or organizing employee time sheets.

decision support — Broad HR work needs human judgment and accountability

Train food preparation or food service personnel. Perform human resources activities.
#2151 · Supplemental · 58% automatable

Estimate ingredients and supplies required to prepare a recipe.

data analysis — Food prep estimates from menus; chef adjusts

Estimate supplies, ingredients, or staff requirements for food preparation activities.
#2161 · Supplemental · 75% automatable

Purchase or requisition supplies and equipment needed to ensure quality and timely delivery of services.

decision support — Ordering via systems automatable; human approves spend

Order materials, supplies, or equipment.
#18718 · Supplemental · 5% automatable

Perform food preparation and serving duties, such as carving meat, preparing flambe dishes, or serving wine and liquor.

physical manipulation — Hands-on food cutting

Cut cooked or raw foods. Prepare foods for cooking or serving.
#2164 · Supplemental · 80% automatable

Schedule parties and take reservations.

data analysis — AI books reservations via tools; human handles issues

Schedule dining reservations.
#2165 · Supplemental · 28% automatable

Develop departmental objectives, budgets, policies, procedures, and strategies.

interpersonal — Food service management is live operational leadership

Manage food service operations or parts of operations.
#18720 · Supplemental · 55% automatable

Conduct meetings and collaborate with other personnel for menu planning, serving arrangements, and related details.

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

Plan menu options.
#2166 · Supplemental · 68% automatable

Develop equipment maintenance schedules and arrange for repairs.

data analysis — AI plans maintenance timing; human confirms constraints

Schedule equipment maintenance.
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Community Sentiment

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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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