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Hospital Janitor

Based on 10 assessments · 1 from real users

7% Low risk

Average realistic automation risk across all Hospital Janitor profiles in the dataset.

Raw potential
15%
Realistic risk
7%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context.

Distribution across 10 profiles. Middle half of Hospital Janitors score between 6% and 8%.

0% 50% 100%
p10 · 4%
9% · p90
On-screen work 0%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 0%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 21%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 79%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Hospital Janitor, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Sweeping, mopping, and vacuuming floors in hallways, patient rooms, waiting areas, and common spaces
29% AA 2%
Emptying trash bins, biohazard containers, and medical waste receptacles; transporting to designated disposal areas
29% AA 6%
Deep cleaning patient rooms between admissions, including beds, furniture, and equipment surfaces
deep expertise social element
23% AA 0%
Cleaning and disinfecting bathrooms including toilets, sinks, mirrors, and high-touch surfaces
8% AA 8%
Restocking supplies (paper towels, soap, toilet paper) and maintaining inventory of cleaning materials
4% DA 17%
Polishing floors, cleaning windows, walls, and performing seasonal deep-cleaning tasks
3% AA 8%
Responding to spills, accidents, and urgent cleaning needs; communicating with nursing and medical staff about contamination or hazards
deep expertise
1% DA 3%

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