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 help patients by assisting with daily tasks, checking vital signs, and providing comfort and support under the supervision of nurses.
Summary
The career of a nursing assistant is labeled as "Stable" because many of the personal care tasks they perform, like helping patients dress or providing emotional support, still require a human touch that AI cannot replicate. While some routine tasks like reminders and record-keeping are being supported by AI, the high cost and complexity of developing robots capable of doing the hands-on work of nursing assistants mean that these roles are unlikely to be replaced by machines soon.
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Learn more about how you can thrive in this position
Summary
The career of a nursing assistant is labeled as "Stable" because many of the personal care tasks they perform, like helping patients dress or providing emotional support, still require a human touch that AI cannot replicate. While some routine tasks like reminders and record-keeping are being supported by AI, the high cost and complexity of developing robots capable of doing the hands-on work of nursing assistants mean that these roles are unlikely to be replaced by machines soon.
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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
Microsoft's Working with AI
AI Applicability
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
Nursing Assistants
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Some tasks nursing assistants do are already being helped by AI. For example, hospitals have started using smart voice assistants (like Amazon Alexa) to do simple reminders – one study notes Alexa robots in patient rooms reminding people to take medicine on time [1]. Nurses also use AI tools to speed up paperwork: voice-recognition and smart templates let staff say their notes instead of typing [1] [2].
These tools handle routine reporting and data entry (like charting symptoms or scheduling) so nurses can focus on patients. However, many personal-care tasks have little automation today. Research robots can begin to dress a patient mannequin [3], but these are prototypes that work slowly and under tight control.
A Duke University test robot, for instance, only completes about 60% of basic nursing tasks – and at one-twentieth the speed of a human [1]. In short, reviews find dozens of “nurse assistant” robots in labs, but most are still unfinished or in trials [1]. Simple monitoring (like auto-recording a patient’s weight or vital signs) can be automated, but truly watching for bruises or helping with bathing still needs a caring person.

AI Adoption
Hospitals are adopting AI tools slowly, for several reasons. First, cost and readiness matter: cheap software (mobile apps, voice assistants) can be added easily, but a bulky robot to lift patients is very expensive and untested. Second, health care has strict rules.
Systems must protect privacy (HIPAA) and be very safe. Nurses and patients must trust them. Studies find many nurses are only somewhat willing to use robots, and many patients prefer human care [4] [4].
People worry AI might lose the “human touch” – one study noted nurses fear automation could weaken empathy and face-to-face care [1] [4]. Finally, economics and need pull in different directions. On one hand, nursing staffs are stretched thin, so any tool that can cut dull tasks has appeal [1] [1].
On the other, nurse aides earn about $16–17 an hour (U.S. median), so replacing a person with a multi-million dollar robot isn’t cost-effective yet. In the end, most experts expect AI to augment rather than replace nursing aides. Automated reminders and record-keeping can save time [1] [1], but caring, hands-on skills (like helping someone dress or giving emotional support) still require the real human touch.
This means nursing assistants will likely work with AI tools, not be replaced by them, even as technology improves.

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Median Wage
$39,530
Jobs (2024)
1,441,500
Growth (2024-34)
+2.3%
Annual Openings
204,100
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
Provide physical support to assist patients to perform daily living activities, such as getting out of bed, bathing, dressing, using the toilet, standing, walking, or exercising.
Observe or examine patients to detect symptoms that may require medical attention, such as bruises, open wounds, or blood in urine.
Undress, wash, and dress patients who are unable to do so for themselves.
Exercise patients who are comatose, paralyzed, or have restricted mobility.
Feed patients or assist patients to eat or drink.
Restock patient rooms with personal hygiene items, such as towels, washcloths, soap, or toilet paper.
Supply, collect, or empty bedpans.
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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