As of August 2026, Cooks, Private Household has an AI-exposure score of 38/100 (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, Private Household

38/100
Low exposure
LowModerateElevatedHighVery High

More exposed than 6% of the roles we track. Median pay ~US$47,940. About 5,300 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, Private Household?

No exposure score can predict whether AI will replace this role. The 38/100 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 meals in private homes. Includes personal chefs.

Common titles
Certified Personal Chef (CPC)Personal ChefPersonal Private ChefPrivate Chef
O*NET job-zone preparation
Job Zone 3 · Medium Preparation Needed Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. Previous work-related skill, knowledge, or experience is required for these occupations.

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

Skills and knowledge
Critical ThinkingService OrientationComplex Problem SolvingMonitoringReading ComprehensionSocial Perceptiveness
Work context
Decision latitudeIndoor controlled settingFrequent contact with others

Source: O*NET 29.1 exact occupation - Cooks, Private Household, SOC 35-2013.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Cooks, Private Household tasks, by AI exposure

Automatable
  • Keep records pertaining to menus, finances, and other business-related issues.
Augmentable
  • Shop for or order food and kitchen supplies and equipment.
Durable
  • Direct the operation and organization of kitchens and all food-related activities, including the presentation and serving of food.
  • Prepare meals in private homes according to employers' recipes or tastes, handling all meals for the family and possibly for other household staff.
9 more durable tasks locked in the report.

We analyzed all 13 Cooks, Private Household tasks - 1 automatable, 1 augmentable and 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; 2 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.
Agent Reality Check (on-site workflow preview)

Keep records pertaining to menus, finances, and other business-related issues.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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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, Private Household - median pay by US state (BLS OEWS, USD)

New York: US$37,440

Median annual wage, in USD. US national: US$47,940. More states are being added.

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