Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They care for seriously ill or injured patients by monitoring their health, providing treatments, and ensuring they recover safely.
Summary
The career of an Acute Care Nurse is labeled as "Stable" because while AI tools can help with some tasks like reading heart monitors and handling paperwork, they can't replace the human touch needed for patient care. Nurses are essential for giving comfort, teaching, and making quick decisions in emergencies, skills that machines can't replicate.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
The career of an Acute Care Nurse is labeled as "Stable" because while AI tools can help with some tasks like reading heart monitors and handling paperwork, they can't replace the human touch needed for patient care. Nurses are essential for giving comfort, teaching, and making quick decisions in emergencies, skills that machines can't replicate.
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AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Acute Care Nurses
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
In nursing, computers and AI tools are starting to help with some tasks, but are not taking over. For example, an AI called EchoNext learned to read ECGs (heart monitors). It studied thousands of heart tests and found hidden problems more often than some doctors [1].
Computers can also flag issues on chest X-rays, but hospitals say doctors must check those results [2].
Hospitals use AI to handle paperwork. For instance, India’s Apollo Hospitals uses AI to write patient notes and discharge papers, giving nurses a few more hours a day [1]. Startups train AI to listen to doctor–patient talks and write them up [1].
This cuts down on typing.
AI helps in emergencies too. A tool called Shockmatrix uses data to flag serious trauma cases for review [3]. Right now, these tools mostly help nurses, and trained staff always check the suggestions.
News say AI may free nurses’ time, but giving care and comfort still needs humans [2] [4].

AI Adoption
Hospitals face mixed reasons to use AI. One big reason is staffing: many nurses and doctors are stretched thin. Apollo Hospitals, for instance, expects many retirements and is using AI to free up nursing time [1].
If computers handle routine tasks like note-taking or checking vital signs, nurses could spend more time with patients. Some projects already suggest AI can save time and reduce burnout [5].
But adding AI is not easy. It costs money and needs good data. A Reuters report said many hospitals struggle with high costs and messy records when trying AI [1].
Medical rules require safety: with lives at stake, only a few clinics trust AI to make diagnoses on its own [2]. Experts also warn AI can make mistakes if unchecked [2], and privacy laws mean humans must oversee sensitive information. Overall, AI might help more with paperwork and data, but nurses’ human skills in teaching, comforting patients, and critical care will still be needed [2] [4].

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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
AI-generated estimates of task resilience over the next 3 years
Perform emergency medical procedures, such as basic cardiac life support (BLS), advanced cardiac life support (ACLS), and other condition stabilizing interventions.
Discuss illnesses and treatments with patients and family members.
Diagnose acute or chronic conditions that could result in rapid physiological deterioration or life-threatening instability.
Distinguish between normal and abnormal developmental and age-related physiological and behavioral changes in acute, critical, and chronic illness.
Manage patients' pain relief and sedation by providing pharmacologic and non-pharmacologic interventions, monitoring patients' responses, and changing care plans accordingly.
Assess the impact of illnesses or injuries on patients' health, function, growth, development, nutrition, sleep, rest, quality of life, or family, social and educational relationships.
Collaborate with members of multidisciplinary health care teams to plan, manage, or assess patient treatments.
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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