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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
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%).
Med
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
Licensed Practical and Licensed Vocational Nurses are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
This career is labeled as "Resilient" because while AI and technology can help with routine tasks like monitoring vital signs and managing paperwork, the core work of nursing requires human skills that machines can't replicate. Tasks such as providing hands-on care, showing empathy, and making critical decisions about patient care are uniquely human and remain essential.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is resilient
This career is labeled as "Resilient" because while AI and technology can help with routine tasks like monitoring vital signs and managing paperwork, the core work of nursing requires human skills that machines can't replicate. Tasks such as providing hands-on care, showing empathy, and making critical decisions about patient care are uniquely human and remain essential.
Read full analysisAnalysis of Current AI Resilience
Licensed Practical Nurse
Updated Quarterly • Last Update: 2/17/2026

Nursing jobs involve both hands-on care and data tracking. Some parts are already helped by technology. For example, many hospitals use digital monitors and wearable sensors to record vital signs automatically.
In fact, one study notes that nurses asked for robot helpers that can measure patients’ vital signs [1]. AI programs can analyze those numbers and even combine them with doctor’s or nurse’s notes – a research project found this helped detect infections more accurately [1]. For giving medicines, special robots are being used in hospitals.
Autonomous helpers (like “TUG” or “AIREC”) can carry drug carts and deliver medications or lab samples quickly [2]. This means nurses can spend less time walking and more time talking with patients. Still, the actual task of starting an IV or giving a shot must be done by a person, so nurses handle that step directly.
Tasks that need a human touch – like putting on ice packs or supervising aides – are not really automated. Computers can help schedule staff or set reminders, but they don’t replace a nurse’s leadership or bedside care. Teamwork activities – checking on a patient together, planning care, and talking through changes – also stay mostly human.
AI tools might show alerts or suggest a care plan, but nurses still decide how to help each patient. In summary, routine data tasks (monitoring, alerts, paperwork) are being automated or augmented, while hands-on care remains a human job [1] [2].

AI is coming into nursing more slowly than in some other fields, for both good and careful reasons. On the plus side, many hospitals face serious nurse shortages. A report notes a global shortfall of nurses could reach 10 million by 2030, so health systems are looking to AI robots and tools to help with routine work [2].
For example, AI chat tools like ChatGPT are already being tested to help with charting and paperwork – one study estimated about 40% of doctors’ and nurses’ documentation hours might be helped by AI text assistants [3]. If these tools work well, they could save time and money, letting nurses focus on patients.
However, hospitals must move carefully. Nurses and managers worry about safety, privacy, and trust. In a recent survey, 85% of nurses said they’d adopt AI if it clearly improved patient care, but many also noted big barriers: 60% cited technical problems, 55% had privacy concerns, and 45% feared job loss [1].
Training and support are needed before nurses feel comfortable using new systems. Small clinics or long-term care homes may be slower to buy expensive robots or software than big hospitals. Also, healthcare is heavily regulated.
Any AI system must meet strict rules for patient data and safety, which can slow down adoption.
Overall, experts expect AI to be used as a helpful assistant in nursing – not as a replacement for people [1] [2]. AI can take on boring paperwork, spot early warning signs in data, and handle logistics, which can reduce nurse workloads. But human nurses bring empathy, communication, and critical thinking that machines don’t.
These human skills remain at the heart of nursing, even as technology provides more support [2] [1].

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They care for patients by checking vital signs, giving medications, and helping with daily activities to support doctors and registered nurses.
Median Wage
$62,340
Jobs (2024)
651,400
Growth (2024-34)
+2.6%
Annual Openings
54,400
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Supervise nurses' aides or assistants.
Sterilize equipment and supplies, using germicides, sterilizer, or autoclave.
Wash and dress bodies of deceased persons.
Help patients with bathing, dressing, maintaining personal hygiene, moving in bed, or standing and walking.
Prepare or examine food trays for conformance to prescribed diet.
Make appointments, keep records, or perform other clerical duties in doctors' offices or clinics.
Collect samples, such as blood, urine, or sputum from patients, and perform routine laboratory tests on samples.
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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