Will AI replace Chefs and Head Cooks?
Most of the work in Chefs and Head Cooks still leans on things AI struggles with — research rates its theoretical AI reach at only ~26%, and real-world use lower still.
O*NET-SOC 35-1011
How your 21 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~26%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~26%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 21 tasks, ratedBased on real task-level AI scores — click to collapse
- Analyze recipes to assign prices to menu items, based on food, labor, and overhead costs.
- Record production or operational data on specified forms.
- Determine production schedules and staff requirements necessary to ensure timely delivery of services.
- Determine how food should be presented and create decorative food displays.
- Recruit and hire staff, such as cooks and other kitchen workers.
- Order or requisition food or other supplies needed to ensure efficient operation.
- Coordinate planning, budgeting, or purchasing for all the food operations within establishments such as clubs, hotels, or restaurant chains.
- Estimate amounts and costs of required supplies, such as food and ingredients.
- Collaborate with other personnel to plan and develop recipes or menus, taking into account such factors as seasonal availability of ingredients or the likely number of customers.
- Monitor sanitation practices to ensure that employees follow standards and regulations.
- Check the quality of raw or cooked food products to ensure that standards are met.
- Check the quantity and quality of received products.
- Supervise or coordinate activities of cooks or workers engaged in food preparation.
- Instruct cooks or other workers in the preparation, cooking, garnishing, or presentation of food.
- Prepare and cook foods of all types, either on a regular basis or for special guests or functions.
- Inspect supplies, equipment, or work areas to ensure conformance to established standards.
- Plan, direct, or supervise food preparation or cooking activities of multiple kitchens or restaurants in an establishment such as a restaurant chain, hospital, or hotel.
- Arrange for equipment purchases or repairs.
- Demonstrate new cooking techniques or equipment to staff.
- Meet with customers to discuss menus for special occasions, such as weddings, parties, or banquets.
- Meet with sales representatives to negotiate prices or order supplies.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.