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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Cooks, Private Household are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Private household cooking earns a "Somewhat Resilient" label because the job is split between tasks AI is already changing and tasks that remain deeply human. The planning and shopping side — like building menus around dietary needs or ordering groceries — is being reshaped quickly by AI tools, meaning cooks who don't adapt to these digital helpers may fall behind.
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Learn more about how you can thrive in this position
This role is somewhat resilient
Private household cooking earns a "Somewhat Resilient" label because the job is split between tasks AI is already changing and tasks that remain deeply human. The planning and shopping side — like building menus around dietary needs or ordering groceries — is being reshaped quickly by AI tools, meaning cooks who don't adapt to these digital helpers may fall behind.
Read full analysisAnalysis of Current AI Resilience
Cooks, Private Household
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting private household cooks rather than replacing them. The biggest gains are happening on the planning and shopping side of the job. Generative AI tools can quickly draft menus and recipes around allergies, calorie goals, or family preferences — AI creates recipes that cater to dietary restrictions, and modern kitchen gadgets are getting smarter through generative AI.
Grocery shopping is also being reshaped, with major chains rolling out agentic and generative AI tools for shoppers and back-end operations [1], making ordering supplies faster for a private cook. The American Culinary Federation now even offers a Specialized Certificate in "AI for the Modern Chef" [2] that covers key concepts within AI for culinary arts, including prompting, workflow, creativity, ethics, personalization, food management, HR tools, advanced operations, education, entrepreneurship, and professional development. Physical cooking is much harder to automate.
CES 2026 debuted devices like the Wan AIChef Ultra, but reviewers note this is still a microwave-based system, not a robotic chef chopping, stirring, or sautéing for you, and full robot kitchens like Moley's X-AiR cost around $105,000 [3] — far beyond what most households would consider.

Adoption in private homes is likely to be slow for hands-on cooking but quick for digital chores. Hardware is expensive, kitchens vary wildly, and chopping, plating, and tasting still need human judgment. Meanwhile, U.S. restaurants are warming up to automation overall — reported planning to adopt automation and robotics for food preparation in their kitchens — but private clients hire chefs partly for the human touch.
Demand is actually rising: the U.S. personal and private chef services market is expanding at around five percent annually through the end of the decade [4], with wealthy families wanting bespoke, in-home experiences that AI can't fully replicate. The takeaway for young people curious about this career: the creative, sensory, and relationship parts of cooking — flavor, plating, conversation with the family — remain very human. Learning to use AI tools as a sous-chef for menus, shopping, and nutrition will likely make you more hireable, not less.

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They prepare and cook meals for families or individuals in their homes, making sure the food is tasty and meets dietary preferences.
Median Wage
$44,530
Jobs (2024)
34,200
Growth (2024-34)
+5.1%
Annual Openings
5,300
Education
Postsecondary nondegree award
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Travel with employers to vacation homes to provide meal preparation at those locations.
Prepare meals in private homes according to employers' recipes or tastes, handling all meals for the family and possibly for other household staff.
Peel, wash, trim, and cook vegetables and meats, and bake breads and pastries.
Serve meals and snacks to employing families and their guests.
Stock, organize, and clean kitchens and cooking utensils.
Specialize in preparing fancy dishes or food for special diets.
Create and explore new cuisines.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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