Orderlies
This work barely registers in measured AI usage.
This occupation's activities barely register in measured AI usage. They came up too rarely in the sample to score, which is not the same as AI having been tried and failed. The pressures that matter here are more likely economic or robotic than linguistic.
Where this occupation sits among all 785 measured. Bands are quintiles of the real distribution. Applicability measures task overlap with observed AI usage. It is not a probability of job loss.
What this job involves
Transport patients to areas such as operating rooms or x-ray rooms using wheelchairs, stretchers, or moveable beds. May maintain stocks of supplies or clean and transport equipment. Psychiatric orderlies are included in Psychiatric Aides.
Where AI overlaps this work, activity by activity
The occupation's most important work activities (O*NET weights, normalized to this set), each with its measured AI performance across 200,000 real conversations: how often AI is used for it, how well it completes it, and how much of the activity it covers.
| Work activity | Share of role | AI performance |
|---|---|---|
| Assist healthcare practitioners during medical procedures. | 21.6% | Not observed 0.00 |
| Clean medical equipment or facilities. | 20.8% | Not observed 0.00 |
| Move materials, equipment, or supplies. | 17.6% | Not observed 0.00 |
| Transport patients or clients. | 10.9% | Not observed 0.00 |
| Dispose of waste or debris. | 10.7% | Not observed 0.00 |
| Clean tools, equipment, facilities, or work areas. | 9.4% | Not observed 0.00 |
| Stock supplies or products. | 5.2% | Not observed 0.00 |
| Assist individuals with special needs. | 3.8% | Not observed 0.00 |
"Not observed" means the activity fell below the study's usage threshold, not that AI was tried and failed: how to read your score explains what a zero does and does not mean. AI performance = completion × scope × coverage (user-goal view), 0–1.
Low exposure is an asset. Spend it deliberately.
Next 30 days
- Don't buy the panic. This occupation's activities barely appear in AI usage data. Your near-term exposure is other people's headlines, not your tasks.
- Skim the gains anyway. Even here, an assistant helps with the thin admin layer: Assist healthcare practitioners during medical procedures is the one place the data shows any overlap.
Next 90 days
- Deepen the human core. Activities like Assist healthcare practitioners during medical procedures sit at the bottom of the measured range. Mastery there is compounding, defensible value.
- Mentor the exposed. Colleagues in adjacent office-heavy roles are the ones facing redesign; understanding their tools makes you a better coordinator and leader.
The longer game
- Watch the actual frontier for this work: usually physical automation, demographics or regulation rather than language models. This dataset intentionally measures only generative AI.
- Revisit after major data updates. If this page's vintage changes and your band moves, the plan moves with it.
Where to put your learning time
Your moat here is the activity assist healthcare practitioners during medical procedures, which barely registers in the measured AI usage. Deepening that is worth more than chasing AI skills you do not need. The one useful exception is the paperwork fringe of the job: enough tool fluency to clear admin quickly and hand the time back to the core work.
- Full task, skill and pay profile for this occupation on O*NET OnLine Free
- Browse role-relevant courses on Coursera Partner linkOr compare the same subject on edX Partner linkBoth let you start a course without paying, and both charge for graded work and certificates, so the question worth asking is which one carries your subject rather than which is cheaper. Checked 31 August 2026: edX calls its free tier the audit track and states that it runs for a limited time and may leave out graded assignments and exams.
- Browse courses on Udemy Partner link
Partner terms checked in August 2026. Most Coursera courses can be audited free; payment covers graded work and certificates. edX works the same way through the audit track described above. Udemy sells its courses one at a time and keeps a free collection of its own, so look there before you spend anything. The partner links earn this site a commission if you buy or subscribe, at no extra cost to you, and they never change a score, a ranking or a plan here.
- AI applicability score and per-activity metrics: Tomlinson, Jaffe, Wang, Counts & Suri, Working with AI: Measuring the Applicability of Generative AI to Occupations, Microsoft Research 2025 (arXiv:2507.07935), data CC BY 4.0.
- Occupation description and activity structure: O*NET 30.0 Database, USDOL/ETA, CC BY 4.0.
- Bands, personalization weights and action plans are JobRiskAI editorial layers; method and limitations on the methodology page.