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AI exposure Healthcare support

Will AI replace orderlies?

Orderlies. US occupation 31-1132.

0.0%

of the time orderlies spend on their work goes on tasks where AI is already being used to do that work.of orderlies' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for orderliesWhat orderlies no longer do alone

O*NET lists 22 tasks for orderlies. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

22 of the 22 tasks show no AI use at work in the data.

  • Carry messages or documents between departments.Core task
  • Change soiled linens, such as bed linens, drapes, or cubicle curtains.Core task
  • Clean equipment, such as wheelchairs, hospital beds, or portable medical equipment, documenting needed repairs or maintenance.Core task
  • Disinfect or sterilize equipment or supplies, using germicides or sterilizing equipment.Core task
  • Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.Core task
  • Respond to emergency situations, such as emergency medical calls, security calls, or fire alarms.Core task
Show the other 16
  • Transport patients to treatment units, testing units, operating rooms, or other areas, using wheelchairs, stretchers, or moveable beds.Core task
  • Transport portable medical equipment or medical supplies between rooms or departments.Core task
  • Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs.
  • Clean and sanitize patient rooms, bathrooms, examination rooms, or other patient areas.
  • Collect and transport infectious or hazardous waste in closed containers for sterilization or disposal, in accordance with applicable law, standards, or policies.
  • Collect soiled linen or trash.
  • Position or hold patients in position for surgical preparation.
  • Provide physical support to patients to assist them to perform daily living activities, such as getting out of bed, bathing, dressing, using the toilet, standing, walking, or exercising.
  • Restrain patients to prevent violence or injury or to assist physicians or nurses to administer treatments.
  • Separate collected materials for disposal, recycling, or reuse, in accordance with environmental policies.
  • Serve or collect food trays.
  • Stock or issue medical supplies, such as dressing packs or treatment trays.
  • Stock utility rooms, nonmedical storage rooms, or cleaning carts with supplies.
  • Transport bodies to the morgue.
  • Transport specimens, laboratory items, or pharmacy items, ensuring proper documentation and delivery to authorized personnel.
  • Turn or reposition bedridden patients, alone or with assistance, to prevent bedsores.

How that compares

Among the 16 healthcare support occupations, orderlies rank 12. The group averages 4.9%, and its most exposed job is Medical Transcriptionists at 63.7%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Opticians, Dispensing 0.0%
  2. 346Optometrists 0.0%
  3. 346Oral and Maxillofacial Surgeons 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.