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 0.0 to 16.7
Physical / roboticsrange 51.2 to 75.2
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 Home Health Aides
It is skill-adjacent and less exposed (41.3 vs 63). 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
Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.
63.2
Transport patients to treatment units, testing units, operating rooms, or other areas, using wheelchairs, stretchers, or moveable beds.
63.2
Disinfect or sterilize equipment or supplies, using germicides or sterilizing equipment.
63.2
Clean equipment, such as wheelchairs, hospital beds, or portable medical equipment, documenting needed repairs or maintenance.
63.2
Respond to emergency situations, such as emergency medical calls, security calls, or fire alarms.
63.2
Change soiled linens, such as bed linens, drapes, or cubicle curtains.
63.2
Carry messages or documents between departments.
63.2
Transport portable medical equipment or medical supplies between rooms or departments.
63.2
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.
Task: Transport patients to treatment units, testing units, operating rooms, or other areas, using wheelchairs, stretchers, or moveable beds.
Lower-risk adjacent roles
Home Health Aides
41.3
Physical Therapist Aides
44.1
Ambulance Drivers and Attendants, Except Emergency Medical Technicians
46.9
Surgical Assistants
48.9
Nursing Assistants
50.6
Surgical Technologists
52.4
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Orderlies 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 4.7, robotics 63.2.
The timeline comes from the higher axis (63.2), 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.