As of August 2026, Cooks, Short Order has an AI-exposure score of 36/100 (Low exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Cooks, Short Order

36/100
Low exposure
LowModerateElevatedHighVery High

More exposed than 4% of the roles we track. Median pay ~US$35,880. About 20,600 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Cooks, Short Order?

No exposure score can predict whether AI will replace this role. The 36/100 score means our current model estimates low task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in our Low exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Prepare and cook to order a variety of foods that require only a short preparation time. May take orders from customers and serve patrons at counters or tables.

Common titles
CookGrill CookLine CookShort Order CookBroiler CookDeli Cook (Delicatessen Cook)
O*NET job-zone preparation
Job Zone 2 · Job Zone 1-2: Very Little to Some Preparation Needed Usually requires a high school diploma or GED, though some occupations may not. Some occupations may need little or no previous experience; others require several months to a year of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Reading ComprehensionTime ManagementCoordinationService OrientationSpeakingFood Production
Work context
Indoor controlled settingDecision latitudeFrequent contact with others

Source: O*NET 29.1 exact occupation - Cooks, Short Order, SOC 35-2015.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Cooks, Short Order tasks, by AI exposure

Automatable

No automatable tasks identified for this role - all 11 of its individually-assessed tasks read as durable.

Augmentable

No augmentable tasks identified for this role - all 11 of its individually-assessed tasks read as durable.

Durable
  • Accept payments, and make change or write charge slips as necessary.
  • Order supplies and stock them on shelves.
9 more durable tasks locked in the report.

We analyzed all 11 Cooks, Short Order tasks - 11 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.

Cooks, Restaurant
80% skills overlap; 4 points higher - similar exposure within the 5-point model resolution; Moderate band; ~US$37,390
View path
40
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.

Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Cooks, Short Order - median pay by US state (BLS OEWS, USD)

California: US$42,930New York: US$35,550Florida: US$34,240Texas: US$25,320

Median annual wage, in USD. US national: US$35,880. More states are being added.

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