Share and intensity of work current AI systems can materially affect.
SOC 35-2013
Cooks, Private Household AI displacement risk
Private household cooks plan menus, shop, and prepare every meal for a family in their home. Recipe AI and meal-planning apps handle inspiration and logistics, but the job is personal: cooking to one family's tastes, dietary needs, and schedule inside their kitchen.
Likely potential for exposed tasks to move to software after workflow integration.
Distinct from restaurant chefs: there is no ticket line to automate, just a household relationship. Demand concentrates in high-net-worth staffing, where discretion and customization are the product and technology is invisible.
Distribution
Where Cooks, Private Household sits across 620 tracked roles
Displacement pressure 14 — higher than 8% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
13 O*NET task statements matched to SOC 35-2013. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $47,940 (May 2025, US national). The latest BLS row matched SOC 35-2013.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Cooks, Private Household
SOC 35-2013 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 14/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Cooks, Private Household
The current evidence import matched 13 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks13
SOC35-2013
- Core task / ID 9503
Peel, wash, trim, and cook vegetables and meats, and bake breads and pastries.
- Core task / ID 20896
Cool, package, label, and freeze foods for later consumption and provide instructions for reheating.
- Core task / ID 9501
Plan menus according to employers' needs and diet restrictions.
- Core task / ID 9502
Shop for or order food and kitchen supplies and equipment.
- Core task / ID 9504
Prepare meals in private homes according to employers' recipes or tastes, handling all meals for the family and possibly for other household staff.
- Core task / ID 20897
Keep records pertaining to menus, finances, and other business-related issues.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Prepare meals in private homes to employer tastes
Exposure 16, automation 6%, augmentation 36%.
O*NET evidence: Prepare meals in private homes according to employers' recipes or tastes, handling all ... (ID 9504)
Plan menus around needs and diet restrictions
Exposure 36, automation 17%, augmentation 52%.
O*NET evidence: Plan menus according to employers' needs and diet restrictions. (ID 9501)
Shop for or order food and kitchen supplies
Exposure 40, automation 21%, augmentation 46%.
O*NET evidence: Shop for or order food and kitchen supplies and equipment. (ID 9502)
Package, label, and freeze foods with reheating instructions
Exposure 26, automation 12%, augmentation 38%.
O*NET evidence: Cool, package, label, and freeze foods for later consumption and provide instructions f... (ID 20896)
TaskExposureAutomationAugmentation
Prepare meals in private homes to employer tastes166%36%
Plan menus around needs and diet restrictions3617%52%
Shop for or order food and kitchen supplies4021%46%
Package, label, and freeze foods with reheating instructions2612%38%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowEstate Kitchen Manager
Training horizon: 6-12 months. Skill overlap 66. Wage preservation signal 128.
- Manage household staff
- Own event catering
- Handle vendor relationships
role redesign
LowPrivate Catering Chef
Training horizon: 6-12 months. Skill overlap 64. Wage preservation signal 120.
- Build an event clientele
- Scale menu production
- Market through referrals
Comparison guides
Compare the next move before you commit
6-12 months
Cooks, Private Household to Estate Kitchen Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Cooks, Private Household into Estate Kitchen Manager.
6-12 months
Cooks, Private Household to Private Catering Chef
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Cooks, Private Household into Private Catering Chef.
What the AI risk score means for Cooks, Private Household
The displacement pressure score for Cooks, Private Household is 14. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Shop for or order food and kitchen supplies carries 21% automation pressure, while Plan menus around needs and diet restrictions carries 52% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $47,940 (May 2025, US national). Employment context: In-home cooking as a luxury service niche. Typical education: Culinary training plus household experience.
Wage vulnerability is 52, while transition feasibility is 58. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Apps plan meals, families hire people
- Discretion is part of the product
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Cooks, Private Household, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Menu planning
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Household cooking
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Dietary planning
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Kitchen management
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Estate Kitchen Manager, such as manage household staff.
- By 90 days, compare internal openings and external postings for Estate Kitchen Manager or Private Catering Chef and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Cooks, Private Household
Will AI replace Cooks, Private Household?
Private household cooks plan menus, shop, and prepare every meal for a family in their home. Recipe AI and meal-planning apps handle inspiration and logistics, but the job is personal: cooking to one family's tastes, dietary needs, and schedule inside their kitchen. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Cooks, Private Household work are most exposed to AI?
Shop for or order food and kitchen supplies and Plan menus around needs and diet restrictions show the strongest automation pressure in this model. Plan menus around needs and diet restrictions and Shop for or order food and kitchen supplies are better treated as AI-augmented work.
What should Cooks, Private Household learn next?
Start with Menu planning, Household cooking, Dietary planning. The most practical adjacent paths in this model are Estate Kitchen Manager and Private Catering Chef.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics