How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and meaningful change looks likely over the next 5 to 10 years.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 1.6 to 25.6
Physical / roboticsrange 38.6 to 62.6
When the change is likely
Partial, 5 to 10 yearslocal demand stable
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Move up from the task to the system
Robotics targets the physical work. Shift toward supervising, maintaining, or programming the automation instead of competing with it.
3
Pivot toward Paramedics
It is skill-adjacent and less exposed (19.2 vs 51). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Turn or reposition bedridden patients.
50.6
Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs.
50.6
Feed patients or assist patients to eat or drink.
50.6
Measure and record food and liquid intake or urinary and fecal output, reporting changes to medical or nursing staff.
50.6
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.
50.6
Document or otherwise report observations of patient behavior, complaints, or physical symptoms to nurses.
50.6
Remind patients to take medications or nutritional supplements.
50.6
Review patients' dietary restrictions, food allergies, and preferences to ensure patient receives appropriate diet.
50.6
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Turn or reposition bedridden patients.
Task: Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs.
Lower-risk adjacent roles
Paramedics
19.2
Psychiatric Aides
34.4
Registered Nurses
38.1
Acute Care Nurses
39.6
Home Health Aides
41.3
Licensed Practical and Licensed Vocational Nurses
42.7
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Nursing Assistants to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 13.6, robotics 50.6.
The timeline comes from the higher axis (50.6), shifted for local demand (stable), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.