Will AI replace Nursing Assistants?
Most of the work in Nursing Assistants still leans on things AI struggles with — research rates its theoretical AI reach at only ~10%, and real-world use lower still.
O*NET-SOC 31-1131
How your 26 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~10%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~10%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 26 tasks, ratedBased on real task-level AI scores — click to collapse
- Document or otherwise report observations of patient behavior, complaints, or physical symptoms to nurses.
- Observe or examine patients to detect symptoms that may require medical attention, such as bruises, open wounds, or blood in urine.
- Record height or weight of patients.
- Provide information, such as directions, visiting hours, or patient status information to visitors or callers.
- Turn or reposition bedridden patients.
- Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs.
- Feed patients or assist patients to eat or drink.
- Measure and record food and liquid intake or urinary and fecal output, reporting changes to medical or nursing staff.
- Provide physical support to assist patients to perform daily living activities, such as getting out of bed, bathing, dressing, using the toilet, standing, walking, or exercising.
- Remind patients to take medications or nutritional supplements.
- Review patients' dietary restrictions, food allergies, and preferences to ensure patient receives appropriate diet.
- Undress, wash, and dress patients who are unable to do so for themselves.
- Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.
- Supply, collect, or empty bedpans.
- Communicate with patients to ascertain feelings or need for assistance or social and emotional support.
- Record vital signs, such as temperature, blood pressure, pulse, or respiration rate, as directed by medical or nursing staff.
- Gather information from caregivers, nurses, or physicians about patient condition, treatment plans, or appropriate activities.
- Wash, groom, shave, or drape patients to prepare them for surgery, treatment, or examination.
- Prepare or serve food trays.
- Change bed linens or make beds.
- Exercise patients who are comatose, paralyzed, or have restricted mobility.
- Restock patient rooms with personal hygiene items, such as towels, washcloths, soap, or toilet paper.
- Clean and sanitize patient rooms, bathrooms, examination rooms, or other patient areas.
- Assist nurses or physicians in the operation of medical equipment or provision of patient care.
- Transport patients to treatment units, testing units, operating rooms, or other areas, using wheelchairs, stretchers, or moveable beds.
- Collect specimens, such as urine, feces, or sputum.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.