Gini Loh System Tools

AI Automation Index

Will AI Replace Chefs and Head Cooks?

Task-level automation exposure for Chefs and Head Cooks: 21 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

43% weighted task index

21 of 21 tasks scored

Median Salary

$62,470 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

High

200,040 people hold this job — size, not growth

Projected 2025–35

+6.6% employment change

25,200 openings a year · BLS line item

Pay by state

BLS OEWS publishes 53 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$30,800 – $79,930

Highest medians

Rhode Island $79,930
Hawaii $77,360
District of Columbia $76,420
Washington $76,010
North Dakota $74,740

Lowest medians

Puerto Rico $30,800
Louisiana $45,570
Arkansas $46,170
Iowa $47,990
Kentucky $48,070

State figures come from the 35-1011 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 43%

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

Physical work 4%

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

Judgment & influence 56%

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

Routine administration 4%

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 13/100 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

21 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%

5 tasks

Medium exposure (≥ 35%) 33%

7 tasks

Low exposure (below 35%) 46%

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

#11129 · Core · 38% automatable

Monitor sanitation practices to ensure that employees follow standards and regulations.

situated mobility — Live monitoring of people in physical settings

Monitor activities of individuals to ensure safety or compliance with rules.
#11135 · Core · 30% automatable

Instruct cooks or other workers in the preparation, cooking, garnishing, or presentation of food.

physical manipulation — Food prep training is hands-on demonstration

Train food preparation or food service personnel.
#11132 · Core · 30% automatable

Supervise or coordinate activities of cooks or workers engaged in food preparation.

interpersonal — Coordinating food service staff is live supervisory work

Coordinate activities of food service staff.
#11131 · Core · 75% automatable

Order or requisition food or other supplies needed to ensure efficient operation.

decision support — Ordering via systems automatable; human approves spend

Order materials, supplies, or equipment.
#11133 · Core · 22% automatable

Inspect supplies, equipment, or work areas to ensure conformance to established standards.

visual inspection — Physical conformance inspection of facilities/equipment

Inspect facilities, equipment or supplies to ensure conformance to standards.
#11130 · Core · 20% automatable

Check the quantity and quality of received products.

visual inspection — Food/supply quality check is sensory and physical

Check quality of foods or supplies.
#11128 · Core · 20% automatable

Check the quality of raw or cooked food products to ensure that standards are met.

visual inspection — Food/supply quality check is sensory and physical

Check quality of foods or supplies.
#11136 · Core · 58% automatable

Estimate amounts and costs of required supplies, such as food and ingredients.

data analysis — Food prep estimates from menus; chef adjusts

Estimate supplies, ingredients, or staff requirements for food preparation activities.
#11148 · Core · 28% automatable

Coordinate planning, budgeting, or purchasing for all the food operations within establishments such as clubs, hotels, or restaurant chains.

interpersonal — Food service management is live operational leadership

Manage food service operations or parts of operations.
#11138 · Core · 68% automatable

Analyze recipes to assign prices to menu items, based on food, labor, and overhead costs.

decision support — Menu pricing aided; owner decides strategy

Determine prices for menu items.
#11147 · Core · 34% automatable

Plan, direct, or supervise food preparation or cooking activities of multiple kitchens or restaurants in an establishment such as a restaurant chain, hospital, or hotel.

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

Coordinate timing of food production activities. Manage food service operations or parts of operations.
#11134 · Core · 40% automatable

Determine how food should be presented and create decorative food displays.

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

Create new recipes or food presentations.
#11139 · Core · 6% automatable

Prepare and cook foods of all types, either on a regular basis or for special guests or functions.

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

Cook foods.
#11140 · Core · 40% automatable

Determine production schedules and staff requirements necessary to ensure timely delivery of services.

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

Coordinate timing of food production activities.
#11142 · Core · 55% automatable

Meet with customers to discuss menus for special occasions, such as weddings, parties, or banquets.

decision support — Event planning drafts; logistics and vendors need humans

Plan special events. Communicate with customers to resolve complaints or ensure satisfaction.
#11141 · Core · 45% automatable

Recruit and hire staff, such as cooks and other kitchen workers.

decision support — Broad HR work needs human judgment and accountability

Perform human resources activities.
#11146 · Core · 82% automatable

Record production or operational data on specified forms.

data analysis — Record production data into structured logs

Record operational or production data.
#11144 · Core · 75% automatable

Meet with sales representatives to negotiate prices or order supplies.

decision support — Ordering via systems automatable; human approves spend

Order materials, supplies, or equipment.
#11145 · Core · 68% automatable

Arrange for equipment purchases or repairs.

data analysis — AI plans maintenance timing; human confirms constraints

Schedule equipment maintenance.
#11143 · Core · 30% automatable

Demonstrate new cooking techniques or equipment to staff.

physical manipulation — Food prep training is hands-on demonstration

Train food preparation or food service personnel.
#11137 · Core · 55% automatable

Collaborate with other personnel to plan and develop recipes or menus, taking into account such factors as seasonal availability of ingredients or the likely number of customers.

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

Plan menu options.
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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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