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Will AI replace Nursing Assistants?

Provide or assist with basic care or support under the direction of onsite licensed nursing staff. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 31-1131.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
21%
Estimated share of representative tasks exposed to current AI capabilities.
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$
$77,900/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.
◇Turn or reposition bedridden patients.31%
✦Clinical accountability and hands-on care27%
⚙Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs.23%
✦Patient trust and complex diagnosis23%
▥Feed patients or assist patients to eat or drink.14%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with turn or reposition bedridden patients..
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 Nursing Assistants.
02>AI can help with: Turn or reposition bedridden patients.
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
Turn or reposition bedridden patients.LOW MATCH
Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs.LOW MATCH
Feed patients or assist patients to eat or drink.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.

Strength8.6
Similar-role comparison
RoleRisk
Nursing Assistants21%
Dietetic Technicians21%
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 2025About O*NETShare report
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Dietetic Technicians · 21% exposureForest and Conservation Technicians · 21% exposurePharmacy Aides · 21% exposure