Chefs and Head Cooks
Direct and may participate in the preparation, seasoning, and cooking of salads, soups, fish, meats, vegetables, desserts, or other foods. May plan and price menu items, order supplies, and keep records and accounts.
Also known as: Chef · Cook · Cake Icer · Cake Maker · Cake Mixer · Chocolatier
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Your free role snapshot
Start with the work, not the headline
This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.
Most exposed task
Record production or operational data on specified forms.
Automatable 65/100 exposure
Most durable task
Prepare and cook foods of all types, either on a regular basis or for special guests or functions.
Durable 8/100 exposure
Useful next step
Make one change to the task mix
Pilot AI on one augmentable task, then document the judgment, relationships, and accountability you still own.
Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.
Build my 7/30/90-day action plan — $9Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
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Record production or operational data on specified forms.65
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
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Analyze recipes to assign prices to menu items, based on food, labor, and overhead costs.55
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Estimate amounts and costs of required supplies, such as food and ingredients.55
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Order or requisition food or other supplies needed to ensure efficient operation.50
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
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Prepare and cook foods of all types, either on a regular basis or for special guests or functions.8
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Determine how food should be presented and create decorative food displays.15
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Supervise or coordinate activities of cooks or workers engaged in food preparation.20
Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.
What this means
A score of 33 puts Chefs and Head Cooks in the second quartile of analyzed occupations. In practice, exposure this level is about the mix: 1 of 20 analyzed tasks lean automatable, 7 augmentable, and 12 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.
Lower-exposure adjacent roles
Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.
Labor-market context
- $62,470median wage
- 200,040employed
- 24,400annual openings
- +7.1%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Turn your actual week into a plan
Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.
Build my 7/30/90-day action plan — $9Related roles
Adjacent by skills or family — no exposure claim implied.
How this score was calculated
The score is the plain average of the AI-exposure values of this role’s 20 analyzed tasks (equal task weights in this release — no hidden factors):
- Automatable 1 task, averaging 65/100 exposure
- Augmentable 7 tasks, averaging 47/100 exposure
- Durable 12 tasks, averaging 22/100 exposure
score = (1×65 + 7×47 + 12×22) ÷ 20 ≈ 33
Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (Moderate) is a corpus quartile; the percentile is tie-aware across all 968 occupations.
FAQ — Chefs and Head Cooks
- Will AI replace Chefs and Head Cooks?
- This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.
- What does a score of 33 mean for a Chefs and Head Cooks?
- It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 33 on a 0–100 exposure scale — in the second quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
- Which tasks in this role are most exposed to AI?
- The highest-exposure tasks are: Record production or operational data on specified forms. Exposure comes from the published, rubric-scored data release rather than being generated when you open this page.
- Which parts of this job are most durable?
- The most durable responsibilities are: Prepare and cook foods of all types, either on a regular basis or for special guests or functions; Determine how food should be presented and create decorative food displays; Supervise or coordinate activities of cooks or workers engaged in food preparation. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
- Is this score personalized to me?
- No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.
Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology