AI JOB RISK SCANNER
O*NET-SOC 35-2012.00 / model V11 rated-task engine

Will AI replace
Cooks, Institution and Cafeteria?

Prepare and cook large quantities of food for institutions, such as schools, hospitals, or cafeterias.

Estimated AI task exposure
25%

Low-Moderate exposure

V11 weights occupation tasks using O*NET Importance, Relevance and Frequency ratings instead of treating every task equally.

17 tasks have usable Task Rating records; weighted-task coverage is 100%.

Digital/info work

33/100

Physical moat

50/100

Human moat

16/100

Rating coverage

100%

17 task statements / 17 rated

Highest-weighted occupation tasks

Monitor and record food temperatures to ensure food safety.
Importance 93/100Relevance 99/100Frequency 79/100Weight 0.92
Cook foodstuffs according to menus, special dietary or nutritional restrictions, or numbers of portions to be served.
Importance 92/100Relevance 96/100Frequency 72/100Weight 0.89
Clean and inspect galley equipment, kitchen appliances, and work areas to ensure cleanliness and functional operation.
Importance 89/100Relevance 98/100Frequency 73/100Weight 0.88
Rotate and store food supplies.
Importance 90/100Relevance 93/100Frequency 67/100Weight 0.85
Clean, cut, and cook meat, fish, or poultry.
Importance 88/100Relevance 94/100Frequency 65/100Weight 0.85
Wash pots, pans, dishes, utensils, or other cooking equipment.
Importance 90/100Relevance 86/100Frequency 74/100Weight 0.84
Apportion and serve food to facility residents, employees, or patrons.
Importance 89/100Relevance 85/100Frequency 73/100Weight 0.84
Direct activities of one or more workers who assist in preparing and serving meals.
Importance 84/100Relevance 74/100Frequency 70/100Weight 0.77
Take inventory of supplies and equipment.
Importance 81/100Relevance 75/100Frequency 51/100Weight 0.71
Train new employees.
Importance 81/100Relevance 86/100Frequency 32/100Weight 0.71

Task weighting

Each rated task receives a composite weight: 38% relevance, 37% importance and 25% frequency. Core tasks receive a small additional multiplier. Low-precision rows flagged by O*NET for suppression are excluded.

Occupation scoring

When rating coverage is strong, rated tasks contribute 60% of the digital, physical and human task signals and Work Activities contribute 40%. Lower-coverage occupations automatically rely more on Work Activities.

U.S. labor market

BLS Wage & Employment Outlook

Median annual wage

$37,450

BLS OEWS May 2025

National employment

441,050

BLS OEWS May 2025

Projected growth

+2.8%

BLS Employment Projections 2025–2035

Average annual openings

63

BLS Employment Projections 2025–2035

BLS labor-market figures are separate from the site's AI-exposure model. Missing values mean a compatible detailed BLS occupation estimate was not published or could not be mapped.

Career pivot radar

Safer Career Alternatives

These options are selected from the same 923-occupation model. They favor a similar task/work profile with meaningfully lower estimated AI exposure. They are suggestions for exploration, not guarantees of job fit.

Personalized career defense protocol

AI-Proofing Plan

AUTOMATE

    AUGMENT

    • administrative support tasks
    • planning and documentation

    PROTECT

      LEARN

      • basic AI literacy

      AI-PROOFING RESOURCES

      What this score does not mean

      The percentage is a comparative task-exposure index. It is not the probability that this occupation disappears, that a worker is laid off, or that AI can perform the entire job.

      New in V11

      Find a Safer Career Path

      High exposure does not mean starting over. V11 compares your occupation with the other 922 O*NET occupations and surfaces lower-exposure options with similar work profiles.

      EXPLORE CAREER ALTERNATIVES
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