Registered Nurse (RN)
Nursing combines clinical expertise with human connection in ways that remain hard to automate, particularly at the bedside.
In real usage data, AI shows up in this job about as often as the average occupation: not high, not negligible.
Technical detail
Based on Microsoft's "Working with AI" study of real Copilot conversations mapped to O*NET tasks (arXiv 2507.07935): Registered Nurses scored 0.122 on AI applicability, within one standard deviation of the cross-occupation mean (0.159, stdev 0.098) across all 785 SOC codes studied — banded here as Medium real-world AI usage relative to other occupations.
Corroborating signal from the Anthropic Economic Index (Claude.ai/API conversations, a different product and userbase than the Microsoft data above): Registered Nurses shows measurable Claude usage tied to this occupation's tasks, though at low absolute volume — treat as directional confirmation, not a second precise score.
What a registered nurse (rn) actually does
On a hospital floor, an RN typically manages four to six patients per shift, starting with a head-to-toe assessment of each one, reviewing vital signs, lab results, and overnight events before rounding with physicians. Throughout the shift, nurses start and monitor IV lines, administer medications after verifying dose and interactions, change wound dressings, reposition immobile patients to prevent bed sores, and document every intervention in the electronic health record for legal and care-continuity purposes.
Nurses serve as the primary point of contact translating physician orders into bedside care, catching prescribing errors, and escalating concerns when a patient's condition changes, which requires recognizing early warning signs like subtle shifts in breathing or mental status before they become emergencies. In the emergency department, triage nurses quickly sort incoming patients by acuity to decide who needs immediate attention.
Discharge planning involves teaching patients and family members how to manage medications, wound care, or a new diagnosis like diabetes at home, and coordinating with case managers on follow-up care or equipment needs. Nurses also train new hires and precept nursing students during clinical rotations. Licensure requires passing the NCLEX-RN exam after completing an accredited nursing program.
Why it reads this way
Nursing combines clinical expertise with human connection in ways that remain hard to automate, particularly at the bedside. The work requires interpreting subtle changes in patient condition—skin color, breathing patterns, behavior shifts—that experienced nurses recognize but that aren't easily quantified for algorithms. Nurses make continuous judgment calls about when to escalate concerns to physicians, how to prioritize among competing patient needs, and how to adapt care protocols to individual circumstances.
Nursing also involves being present with people during vulnerable moments—providing reassurance during frightening procedures, supporting families processing difficult diagnoses, offering comfort to dying patients. That protection is strongest for direct clinical care; it's weaker on the administrative side — one hospital has already replaced insurance-chart-review nursing roles with AI software, even as bedside care remains largely untouched. State law still requires an RN (or supervised staff) for clinical assessment and most medication administration.
Skills this role draws on
We don't yet have task-by-task time-share data for this occupation, so we can't show which specific tasks carry the exposure score above. This is the real skill set instead.
Typical salary range (USD)
$63,000–$129,000
Average: $101,420/yr
Range source: BLS Occupational Employment Statistics, May 2024
Average source: BLS Occupational Employment and Wage Statistics, May 2025 (Annual Mean Wage)
Related careers
Head-to-head comparisons
Registered Nurse is currently assessed as AI-resistant despite the paperwork. State law bars delegating clinical assessment and most high-risk medication administration to unlicensed staff, and core hands-on tasks — physical assessment, IV insertion, wound care — have no commercial robotic substitute in US hospitals yet. That said, a Bronx hospital did eliminate 12 utilization-review RN positions in 2026 after adopting AI chart-review software — a real example, though it's chart-review/insurance work rather than bedside care. This is a moderate-confidence read given that exception; we'll check back within six months given how fast healthcare AI is moving.
This is a researched judgment (checklist v1.2), not a statistical measurement — it sits alongside, not instead of, the structural exposure signal above. Next scheduled review: 2027-02-08.
Sources (18)
- https://www.ncbon.com/sites/default/files/documents/2024-02/ps-delegation-and-assignment-of-nurse-activities.pdf
- https://www.ncbon.com/sites/default/files/documents/2024-03/ps-delegation-of-medication-administration-to-uap.pdf
- https://app.leg.wa.gov/wac/default.aspx?cite=246-840-930
- https://app.leg.wa.gov/rcw/default.aspx?cite=18.79.260
- https://secure.sos.state.or.us/oard/displayDivisionRules.action?selectedDivision=3931
- https://kbn.ky.gov/KBN%20Documents/aos15-delegation.pdf
- https://www.mass.gov/doc/ar-9803-delegation-to-uap/download
- https://www.onetonline.org/link/summary/29-1141.00
- https://www.bls.gov/ooh/healthcare/registered-nurses.htm
- https://clinicaltrials.gov/study/NCT07383870
- https://gothamist.com/news/a-dozen-montefiore-nurses-in-the-bronx-are-being-pushed-out-by-ai-union-says
- https://www.bxtimes.com/12-montefiore-nurses-laid-off-replaced-by-ai/
- https://www.norwoodnews.org/nysna-allege-montefiore-plans-to-replace-some-nurses-with-ai-systems/
- https://news.bloomberglaw.com/daily-labor-report/ny-nursing-union-fights-ai-layoffs-citing-technology-pitfalls
- https://prismreports.org/2026/08/03/new-york-city-nurses-say-ai-is-replacing-them/
- https://medicalxpress.com/news/2025-12-virtual-nursing-fall-short-nurses.html
- https://www.beckershospitalreview.com/quality/nursing/virtual-nursing-at-10-systems-23-results-to-know/
- https://www.nationalnursesunited.org/artificial-intelligence
Data sources & methodology
Salary data: BLS Occupational Employment Statistics, May 2024. Min/max figures represent the 10th–90th percentile annual wage range across the United States. Average figure sourced separately: BLS Occupational Employment and Wage Statistics, May 2025 (Annual Mean Wage).
Automation Risk Score: Based on O*NET occupational analysis (29-1141.00) evaluating task complexity, physical requirements, social intelligence, and environmental variability. Methodology based on research from Frey & Osborne (Oxford, 2017).
Growth projections: 5% (2024-2034), based on BLS Occupational Outlook Handbook.