Resilient
Last Update: 8/30/2026
AI Resilience Score for Registered Nurses:
77.8%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forRegistered Nurses
$97,550 median salary•180,800 annual openings•SOC Code: 29-1141.00
Registered Nurses are more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Nursing is labeled "Resilient" because the heart of the work, including physical assessments, giving medications, and comforting patients through difficult moments, requires human judgment, empathy, and hands-on care that AI simply cannot replicate. AI tools are stepping in as helpful assistants, especially for time-consuming paperwork and documentation, which actually frees nurses up to spend more time doing what they do best.
Learn more about how you can thrive in this position
This role is resilient
Nursing is labeled "Resilient" because the heart of the work, including physical assessments, giving medications, and comforting patients through difficult moments, requires human judgment, empathy, and hands-on care that AI simply cannot replicate. AI tools are stepping in as helpful assistants, especially for time-consuming paperwork and documentation, which actually frees nurses up to spend more time doing what they do best.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Registered Nurses
Updated Quarterly

How is AI changing Registered Nurses jobs?
Right now, AI in nursing looks much more like a helpful assistant than a replacement. The biggest wave is "ambient AI" that listens to nurse-patient conversations and drafts documentation automatically. A study published in The American Journal of Managed Care [1] found that among US hospitals using the Epic EHR system, 1,744 of 2,784 (62.6%) had adopted an ambient AI tool, with DAX Copilot, Abridge, and ThinkAndor accounting for more than 80% of implementations.
A McKinsey survey of 500+ US nurses [2] reports that nearly 65% of surveyed nurses use more AI tools today than a year ago, though adoption is concentrated in workflows like documentation and medication management, and notes that Mercy Health cut nurses' end-of-shift documentation time by 83% using a generative AI care plan built with Epic. Human tasks like giving medications, physical assessments, and comforting patients remain firmly with nurses, as covered by Healthcare IT News [3], which describes how the Ambient Nursing Documentation initiative uses voice-based AI to capture nurse-patient conversations for the EHR, with nurses themselves in the driver's seat.
Sources

How fast is AI adoption growing for Registered Nurses?
Adoption is moving quickly because hospitals face staffing shortages, burnout, and rising documentation loads. The University of Cincinnati [4] notes that a 2025 AMIA study found nurses spend roughly 10% of a 12-hour shift on non-nursing tasks that AI can absorb. But money and infrastructure matter: AJMC found that adopting hospitals had higher workloads, higher outpatient and inpatient volumes, and positive operating margins, and were more likely to be nonprofit and large, meaning smaller or rural facilities lag behind.
Trust is the bigger brake — McKinsey reports that the top concern is trust in AI accuracy (33%), followed by lack of human interaction (18%) and data privacy (16%). The American Nurses Association [5] is pushing for careful rollout, warning of risks including erosion of professional judgment, unclear accountability, algorithmic bias, and increased cognitive burden from poorly implemented tools. The takeaway: AI will keep taking over paperwork, but the caring, judging, and hands-on parts of nursing — the reasons people choose this career — remain deeply human.
Sources

Will AI replace Registered Nurses?
No. We don't think AI will replace Registered Nurses, but the job is already changing in real and meaningful ways.
AI is taking over the paperwork. Tools like ambient documentation assistants now listen to nurse-patient conversations and draft notes automatically, and adoption is spreading fast: nearly 65% of surveyed nurses report using more AI tools than a year ago [2]. One health system cut end-of-shift documentation time by 83% using a generative AI care plan [2]. A 2025 study found nurses spend roughly 10% of a 12-hour shift on non-nursing tasks that AI can absorb [4]. That is genuinely good news for a profession stretched thin by burnout and staffing shortages.
But the core of nursing stays human. Giving medications, doing physical assessments, reading a patient's fear, and making judgment calls in fast-moving situations are not things AI can replicate. The American Nurses Association is pushing for careful rollout precisely because poorly implemented tools can erode professional judgment and create new burdens [5]. Trust in AI accuracy remains the top concern among nurses themselves [2].
We give this career a 77.8% AI Resilience Score for good reason. The demand outlook is strong, the wages hold up, and the human contribution is high. AI will make nurses more efficient. It will not make nurses unnecessary.
Sources

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Latest AI news for Registered Nurses
These articles highlight the evolving role of AI in nursing, emphasizing the need for tools that enhance rather than hinder patient care. For instance, the piece on ambient AI suggests that successful integration relies on understanding bedside realities. However, concerns raised by Kaiser nurses about AI prioritizing speed over quality signal that future nurses must advocate for patient-centered technology. As automation grows, understanding AI's impact on job roles will be essential for registered nurses to remain resilient and effective in their careers.

Kaiser nurses say technology is making their jobs — and patient care — worse
calmatters.org • 7/20/2026
Call center nurses at Kaiser Permanente said workplace surveillance tools and AI prioritize speed and cost savings over quality and safety.

Months after New York's record nurse strike, Montefiore said to cut 12 review nurse jobs with AI
www.thecooldown.com • 7/20/2026
Twelve utilization review nursing jobs are slated for elimination at Montefiore Medical Center in the Bronx, a move the nurses union says is...

Ambient AI's next frontier may be nursing workflow
www.healthcareitnews.com • 6/18/2026
Success with nursing AI will depend on designing tools around the realities of bedside care, governance and operational outcomes – rather...

Kaiser nurses plan one-day strike over AI concerns in Fresno
thebusinessjournal.com • 3/17/2026
Kaiser Permanente employees are planning a one-day work stoppage on Wednesday, March 17, citing concerns over the provider's implementation...

10 AI-Proof Healthcare Careers For The Coming Age Of Automation
www.forbes.com • 12/12/2025
Artificial intelligence is being integrated into healthcare at remarkable speed. AI tools now read medical images, draft clinical notes,...
More Career Info
Career: Registered Nurses
They care for patients by checking their health, giving medicine, and helping doctors with treatments to make sure patients feel better.
Parent Careers
Employment & Wage Data
Median Wage
$97,550
Jobs (2025)
3,465,400
Growth (2025-35)
+5.6%
Annual Openings
180,800
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Administer local, inhalation, intravenous, or other anesthetics.
2
Provide health care, first aid, immunizations, or assistance in convalescence or rehabilitation in locations such as schools, hospitals, or industry.
3
Perform physical examinations, make tentative diagnoses, and treat patients en route to hospitals or at disaster site triage centers.
4
Prepare patients for and assist with examinations or treatments.
5
Direct or supervise less-skilled nursing or healthcare personnel or supervise a particular unit.
6
Administer medications to patients and monitor patients for reactions or side effects.
7
Observe nurses and visit patients to ensure proper nursing care.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
