Cooks, Institution and Cafeteria
Cooks, Institution and Cafeteria — AI exposure, safer roles, and a pivot plan.
Also known as: Cook · Camp Cook · Dinner Cook · Galley Cook · Dietary Aide · Dietary Cook
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.
Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
-
Compile and maintain records of food use and expenditures.66
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
-
Monitor and record food temperatures to ensure food safety.53
-
Determine meal prices, based on calculations of ingredient prices.48
-
Requisition food supplies, kitchen equipment, and appliances, based on estimates of future needs.44
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
-
Clean and inspect galley equipment, kitchen appliances, and work areas to ensure cleanliness and functional operation.25
-
Bake breads, rolls, or other pastries.26
-
Apportion and serve food to facility residents, employees, or patrons.28
Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.
What this means
A score of 38 puts Cooks, Institution and Cafeteria in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 1 of 17 analyzed tasks lean automatable, 8 augmentable, and 8 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.
One next move: lean into the durable core above and adopt AI on the routine remainder before it becomes a mandate.
Lower-exposure adjacent roles
No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.
Labor-market context
- $37,450median wage
- 441,050employed
- 69,700annual openings
- +2.0%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Your week probably doesn’t match the average
This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.
Personalize my result — $9Related roles
Adjacent by skills or family — no exposure claim implied.
FAQ — Cooks, Institution and Cafeteria
- What does a score of 38 mean for a Cooks, Institution and Cafeteria?
- It means that, weighted across the 17 tasks we analyzed for this role, the task mix sits at 38 on a 0–100 exposure scale — in the least-exposed quarter 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: Compile and maintain records of food use and expenditures. Exposure is scored per task from structured data, not generated by a language model.
- Which parts of this job are most durable?
- The most durable responsibilities are: Clean and inspect galley equipment, kitchen appliances, and work areas to ensure cleanliness and functional operation; Bake breads, rolls, or other pastries; Apportion and serve food to facility residents, employees, or patrons. 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 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 17 of 17 tasks carry source-level provenance · methodology