How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Prepare a major meal, following recipes and determining group food quantities.70
- Conduct nutritional assessments of individuals, including obtaining and evaluating individuals' dietary histories, to plan nutritional programs.69
- Determine food and beverage costs and assist in implementing cost control procedures.69
- Develop job specifications, job descriptions, or work schedules.69
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Observe and monitor patient food intake and body weight, and report changes, progress, and dietary problems to dietician.01
- Conduct nutritional assessments of individuals, including obtaining and evaluating individuals' dietary histories, to plan nutritional programs.02
- Prepare a major meal, following recipes and determining group food quantities.03
- Supervise food production or service or assist dietitians or nutritionists in food service supervision or planning.04
- Plan menus or diets or guide individuals or families in food selection, preparation, or menu planning, based upon nutritional needs and established guidelines.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Dietitians and Nutritionists
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Compare these careers →Exercise Physiologists
Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
