Registered Nurses
HealthcareAI exposure
- Data source: BLSPublished: '26.08
High· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: '26.03
0.059
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.25
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 77% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 130 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare reports to document patients' care activities.29-1141 | 0.010014.3 | 0.020040.0 |
Analyze the indications, contraindications, risk complications, and cost-benefit tradeoffs of therapeutic interventions.29-1141 | 0.010014.3 | 0.020040.0 |
Plan, evaluate, or modify treatment programs, based on information gathered by observing and interviewing patients or by analyzing patient records.29-1141 | 0.010014.3 | 0.010020.0 |
Make clinical recommendations to physicians, other health care providers, insurance companies, patients, or health care organizations.29-1141 | 0.010014.3 | 0.00000.0 |
Assist patients in organizing their health care system activities.29-1141 | 0.010014.3 | 0.00000.0 |
Provide consultation to other health care providers in areas such as patient discharge, patient care, or clinical procedures.29-1141 | 0.010014.3 | 0.00000.0 |
Discuss illnesses and treatments with patients and family members.29-1141 | 0.010014.3 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Maintain accurate, detailed reports and records.O*NET Task ID 1839 | 1.0 |
Monitor, record, and report symptoms or changes in patients' conditions.O*NET Task ID 1840 | 0.5 |
Record patients' medical information and vital signs.O*NET Task ID 1841 | 0.5 |
Modify patient treatment plans as indicated by patients' responses and conditions.O*NET Task ID 1842 | 0.5 |
Consult and coordinate with healthcare team members to assess, plan, implement, or evaluate patient care plans.O*NET Task ID 1843 | 0.5 |
Order, interpret, and evaluate diagnostic tests to identify and assess patient's condition.O*NET Task ID 1844 | 0.5 |
Monitor all aspects of patient care, including diet and physical activity.O*NET Task ID 1845 | 0.5 |
Assess the needs of individuals, families, or communities, including assessment of individuals' home or work environments, to identify potential health or safety problems.O*NET Task ID 1849 | 0.5 |
Instruct individuals, families, or other groups on topics such as health education, disease prevention, or childbirth and develop health improvement programs.O*NET Task ID 1850 | 0.5 |
Prescribe or recommend drugs, medical devices, or other forms of treatment, such as physical therapy, inhalation therapy, or related therapeutic procedures.O*NET Task ID 1859 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
Recent Changes Affecting This Occupation
Apr 2026: Healthcare posted record Q1 high at 23,520 cuts. AI diagnostic tools, automated admin workflows, and scheduling AI changing the equation. AI was #1 March cut reason overall.
[Source: Challenger March 2026]Apr 2026: OpenAI workplace report (Apr 2026): Healthcare ranks among the lowest-adoption industries due to patient-data and HIPAA constraints, not because clinicians wouldn't benefit. Documentation assistance is the leading edge; direct clinical-workflow integration remains blocked.
[Source: OpenAI — ChatGPT Usage and Adoption Patterns at Work (April 2026)]Apr 2026: Registered nurses flagged as insulated; physical and relational necessity (bedside care, calming patients) sits outside what AI can substitute.
[Source: OpenAI Jobs Transition Framework, April 2026]