Nurse Anesthetists
HealthcareAI exposure
- Data source: BLSPublished: 2026-08
Low· 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
0.000
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 16 hidden tasksValues 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 |
|---|---|
Perform pre-anesthetic screenings, including physical evaluations and patient interviews, and document results.O*NET Task ID 18356 | 0.5 |
Select and prescribe post-anesthesia medications or treatments to patients.O*NET Task ID 18357 | 0.5 |
Select, order, or administer pre-anesthetic medications.O*NET Task ID 18358 | 0.5 |
Perform or evaluate the results of diagnostic tests, such as radiographs (x-rays) and electrocardiograms (EKGs).O*NET Task ID 18360 | 0.5 |
Assess patients' medical histories to predict anesthesia response.O*NET Task ID 18367 | 0.5 |
Develop anesthesia care plans.O*NET Task ID 18368 | 0.5 |
Instruct nurses, residents, interns, students, or other staff on topics such as anesthetic techniques, pain management and emergency responses.O*NET Task ID 18375 | 0.5 |
Read current literature, talk with colleagues, and participate in professional organizations or conferences to keep abreast of developments in nursing.O*NET Task ID 18376 | 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®, Eloundou et al. (2023): see full notices on the Credits page