Highly Resilient

Last Update: 5/19/2026

AI Resilience Score for Registered Nurses:

81.2%

Median Score

Meaningful human contribution

High

Long-term employer demand

High

Sustained economic opportunity

High

Our confidence in this score:
High

Contributing sources

AI Resilience Report forRegistered Nurses

$93,600 median salary189,100 annual openingsSOC Code: 29-1141.00

Registered Nurses are much more resilient to AI impacts than most occupations, according to our analysis of 7 sources.

Nursing is labeled **Highly Resilient** because the heart of the job — physical care, emotional support, and real-time human judgment — simply can't be replicated by a machine. Think about it: no AI can hold a scared patient's hand, reposition someone after surgery, or pick up on the subtle signs that a family member doesn't understand what the doctor just told them.

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This role is highly resilient

Nursing is labeled **Highly Resilient** because the heart of the job — physical care, emotional support, and real-time human judgment — simply can't be replicated by a machine. Think about it: no AI can hold a scared patient's hand, reposition someone after surgery, or pick up on the subtle signs that a family member doesn't understand what the doctor just told them.

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Analysis of Current AI Resilience

Registered Nurses

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Registered Nurses jobs?

Right now, AI in nursing is mostly augmenting nurses rather than replacing them — and the biggest action is in paperwork. Hospitals are rolling out "ambient AI scribes" that listen during patient visits and draft notes automatically. A large JAMA study of 1,800 clinicians across five academic medical centers found AI scribes saved about 16 minutes of documentation time per eight-hour shift and let users see one additional patient every two weeks [1].

At Mercy in Missouri, one nurse reported that Dragon Copilot saved her about two hours of charting in a 12-hour shift [2]. AI is also being used for predictive alerts (spotting patients at risk of falls or deterioration) and staffing optimization. However, the hands-on tasks — preparing patients for treatment, giving medications, and noticing subtle changes in someone's condition — are still firmly human work.

As one nursing leader explained, no algorithm can hold a hand during a difficult diagnosis, reposition a post-surgical patient, or read the subtle cues that a family doesn't understand a care plan [3].

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AI Adoption

How fast is AI adoption growing for Registered Nurses?

Adoption is happening, but more slowly for nurses than for doctors. A new Elsevier survey of 692 nurses across 118 countries found only 41% of nurses report using AI at work, compared to 57% of doctors, and just 42% consider AI tools trustworthy [4]. Three forces are speeding things up: a serious nursing shortage, sky-high labor costs, and clear burnout-reduction benefits.

Three forces are slowing things down: trust, safety, and ethics. In May 2026, the American Nurses Association warned of risks including erosion of professional judgment, unclear accountability when AI influences care decisions, algorithmic bias, and a lack of nursing-specific governance [5], and called for nurse-led guardrails. The bottom line for young people considering this career: AI will keep changing the paperwork side of nursing, but the human skills — empathy, judgment, physical care, and communication — are exactly what makes a nurse irreplaceable.

Becoming AI-literate while building those human strengths is the safest bet for a long, meaningful career.

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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.

Employment & Wage Data

Median Wage

$93,600

Jobs (2024)

3,391,000

Growth (2024-34)

+4.9%

Annual Openings

189,100

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

96% ResilienceSupplemental

Provide health care, first aid, immunizations, or assistance in convalescence or rehabilitation in locations such as schools, hospitals, or industry.

2

95% ResilienceSupplemental

Perform physical examinations, make tentative diagnoses, and treat patients en route to hospitals or at disaster site triage centers.

3

95% ResilienceSupplemental

Conduct specified laboratory tests.

4

94% ResilienceSupplemental

Administer local, inhalation, intravenous, or other anesthetics.

5

93% ResilienceSupplemental

Order, interpret, and evaluate diagnostic tests to identify and assess patient's condition.

6

92% ResilienceCore Task

Prepare patients for and assist with examinations or treatments.

7

92% ResilienceCore Task

Administer medications to patients and monitor patients for reactions or side effects.

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.

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