Compare roles · AI exposure side by side
Dietitians and Nutritionists
Put up to three roles next to each other: the exposure figure, the inputs behind it, the window, what is driving change, and where the work moves. Every figure comes from the same method, so the gap between two scores means something.
Exposure
Window · adoption
until most of the change has landed
Medium-High adoption
In one line
AI is drafting meal plans, logging intake from photos and automating clinic notes, pushing dietitians towards complex cases and behaviour change.
Inputs behind the score · scaled 0–100
Task applicability
44Observed usage
18Official exposure tier
100Labour-market trajectory
n/aPublished adoption rating
55What is driving it
- Generative meal planning
- Photo and sensor-based intake logging
- Ambient clinical documentation
- Patient self-service advice
- Highest official exposure tier
- Modest observed usage so far
Skills worth building
- Medical nutrition therapy depth
- Behaviour-change counselling
- Critical appraisal of AI output
- Data interpretation
- Clinical software fluency
- Communication of evidence
Tools in the work now
Where the work moves
Medical Coders and Health Records Specialists77
More exposed
Different skills, growing
Fitness Trainers and Instructors22
Complementary, less exposed
Full report
Scores are the CareerGuard Exposure Index v2: the same five inputs and weights for every role, so a gap of ten points means the same thing wherever it appears. How scores are built.