Clinical Nurse Specialists
HealthcareAI exposure
- Data source: BLSPublished: 2026-08
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: 2026-03
0.059
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
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 112 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Compile and analyze data obtained from monitoring or diagnostic tests.29-1141 | 0.101428.0 |
Direct or provide home health services.29-1141 | 0.073120.2 |
Design patient education programs that include information required to make informed health care and treatment decisions.29-1141 | 0.042811.8 |
Educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans.29-1141 | 0.02657.3 |
Discuss illnesses and treatments with patients and family members.29-1141 | 0.02436.7 |
Interpret diagnostic or laboratory tests such as electrocardiograms (EKGs) and renal functioning tests.29-1141 | 0.02135.9 |
Analyze the indications, contraindications, risk complications, and cost-benefit tradeoffs of therapeutic interventions.29-1141 | 0.01143.2 |
Present clients with information required to make informed health care and treatment decisions.29-1141 | 0.00872.4 |
Teach classes in mental health topics such as stress reduction.29-1141 | 0.00521.4 |
Make clinical recommendations to physicians, other health care providers, insurance companies, patients, or health care organizations.29-1141 | 0.00491.4 |
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 |
|---|---|
Prepare reports to document patients' care activities.O*NET Task ID 18020 | 1.0 |
Write nursing orders.O*NET Task ID 18021 | 1.0 |
Observe, interview, and assess patients to identify care needs.O*NET Task ID 18001 | 0.5 |
Evaluate the quality and effectiveness of nursing practice or organizational systems.O*NET Task ID 18002 | 0.5 |
Provide direct care by performing comprehensive health assessments, developing differential diagnoses, conducting specialized tests, or prescribing medications or treatments.O*NET Task ID 18003 | 0.5 |
Maintain departmental policies, procedures, objectives, or infection control standards.O*NET Task ID 18005 | 0.5 |
Develop nursing service philosophies, goals, policies, priorities, or procedures.O*NET Task ID 18007 | 0.5 |
Develop, implement, or evaluate standards of nursing practice in specialty area, such as pediatrics, acute care, and geriatrics.O*NET Task ID 18008 | 0.5 |
Develop or assist others in development of care and treatment plans.O*NET Task ID 18009 | 0.5 |
Make clinical recommendations to physicians, other health care providers, insurance companies, patients, or health care organizations.O*NET Task ID 18010 | 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