JobRiskAI

Nursing Assistants

SOC 31-1131Healthcare SupportData vintage 2026-07
Minimal exposure AI applicability score 0.029, higher than 5% of the 785 occupations measured · #13 most exposed of 17 in Healthcare Support

AI is not doing this work today.

This occupation's activities barely register in measured AI usage. Generative AI is not doing this work today. 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

Provide or assist with basic care or support under the direction of onsite licensed nursing staff. Perform duties such as monitoring of health status, feeding, bathing, dressing, grooming, toileting, or ambulation of patients in a health or nursing facility. May include medication administration and other health-related tasks. Includes nursing care attendants, nursing aides, and nursing attendants.

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 activityShare of roleAI performance
Assist individuals with special needs.26.2%Not observed 0.00
Maintain health or medical records.16.5%Not observed 0.00
Assist healthcare practitioners during medical procedures.14.5%Not observed 0.00
Clean tools, equipment, facilities, or work areas.7.2%Not observed 0.00
Stock supplies or products.5.2%Not observed 0.00
Monitor health conditions of humans or animals.5.1%Not observed 0.00
Interview people to obtain information.4.6%Not observed 0.00
Evaluate patient or client condition or treatment options.4.5%Not observed 0.00
Analyze health or medical data.4.4%Moderate 0.49
Collect information about patients or clients.4.2%Not observed 0.00
Dispose of waste or debris.3.9%Not observed 0.00
Administer basic health care or medical treatments.3.8%Not observed 0.00

"Not observed" is a measurement, not missing data: that activity does not meaningfully appear in the usage sample. AI performance = completion × scope × coverage (user-goal view), 0–1.

What drives this score: the biggest AI-overlapped activity in this role is analyze health or medical data; the most important activity AI is not observed doing is assist individuals with special needs. The plan below is built around exactly that split.

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: Analyze health or medical data is the one place the data shows any overlap.

Next 90 days

  • Deepen the human core. Activities like Assist individuals with special needs are measured as fully outside current AI. 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.

Compare this occupation with another

Sources for this page:
  • 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.