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Will AI replace Dietetic Technicians?

Assist in the provision of food service and nutritional programs, under the supervision of a dietitian. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 29-2051.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
21%
Estimated share of representative tasks exposed to current AI capabilities.
Last updatedAugust 20, 2026
Evidence confidenceMedium
Browse this risk tierLower exposure jobs →
Task automation shareⓘ
21%Automatable
Automatable21%
Augmentable43%
Hard to automate36%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Healthcare
Clinical & Care
Modeled pay midpoint$
$76,100/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Observe and monitor patient food intake and body weight, and report changes, progress, and dietary problems to dietician.31%
✦Clinical accountability and hands-on care27%
✦Patient trust and complex diagnosis23%
⚙Conduct nutritional assessments of individuals, including obtaining and evaluating individuals' dietary histories, to plan nutritional programs.16%
▥Prepare a major meal, following recipes and determining group food quantities.12%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with observe and monitor patient food intake and body weight, and report changes, progress, and dietary problems to dietician..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in clinical accountability and hands-on care.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Dietetic Technicians.
02>AI can help with: Observe and monitor patient food intake and body weight, and report changes, progress, and dietary problems to dietician.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Clinical accountability and hands-on care.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 21% is estimated task exposure—not a 21% chance of losing the job.
What AI can do
Observe and monitor patient food intake and body weight, and report changes, progress, and dietary problems to dietician.LOW MATCH
Conduct nutritional assessments of individuals, including obtaining and evaluating individuals' dietary histories, to plan nutritional programs.LOW MATCH
Prepare a major meal, following recipes and determining group food quantities.LOW MATCH
How estimates work →
Your human moat
◆

Clinical accountability and hands-on care

HIGH MOAT

Combined with patient trust and complex diagnosis, this keeps a human in the loop.

Strength9.3
Similar-role comparison
RoleRisk
Dietetic Technicians21%
Nursing Assistants21%
Forest and Conservation Technicians21%
Pharmacy Aides21%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is clinical accountability and hands-on care.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025O*NET 29-2051.00Share report
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Sources for this report

Official occupation tasks; timeline remains uncertain Scores are directional estimates and sources do not endorse this site’s exact percentage.

O*NET 29-2051.00 occupation profile ↗ILO Generative AI and Jobs 2025 ↗Scoring methodology →

Explore safer adjacent careers

These roles are in Healthcare and have lower modeled task exposure. Transferability depends on your skills, location, and qualifications.

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