Resilient

Last Update: 8/30/2026

AI Resilience Score for Nursing Assistants:

66.1%

Median Score

Meaningful human contribution

High

Long-term employer demand

High

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient nursing assistant work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For nursing assistants, six of eight sources had data, with two sources missing. The sources that did weigh in mostly agreed: AI Resilience Model and Microsoft both rated AI exposure as High (meaning the work stays human), while Will Robots Take My Job landed at Medium. Strong demand and wages offset a low Adaptive Capacity score, keeping confidence at Medium and the label "Resilient."

AI Resilience Report forNursing Assistants

$42,260 median salary196,200 annual openingsSOC Code: 31-1131.00

Nursing Assistants are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.

Nursing assistants are labeled "Resilient" because the heart of this job, providing hands-on physical care like bathing, dressing, moving patients, and offering emotional comfort, is something AI and robots simply cannot do yet. The technology that exists today is mostly stepping in to help with the less rewarding parts of the work, like paperwork and supply runs, which actually frees CNAs to spend more time doing what they do best: caring for people.

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This role is resilient

Nursing assistants are labeled "Resilient" because the heart of this job, providing hands-on physical care like bathing, dressing, moving patients, and offering emotional comfort, is something AI and robots simply cannot do yet. The technology that exists today is mostly stepping in to help with the less rewarding parts of the work, like paperwork and supply runs, which actually frees CNAs to spend more time doing what they do best: caring for people.

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Analysis of Current AI Resilience

Nursing Assistants

Updated Quarterly

Analysis
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State of Automation

How is AI changing Nursing Assistants jobs?

Right now, AI is mostly augmenting nursing assistants rather than replacing them — and the hands-on tasks you actually do at the bedside are the parts machines still can't touch. A 2026 concept analysis published in Cureus notes that certified nursing assistants (CNAs) remain underrepresented in the literature on AI in nursing, which has focused on registered nurses (RNs) as clinical decision-makers, meaning most current AI tools target charting and clinical decisions, not physical caregiving. The biggest wins so far are in paperwork and communication: an industry breakdown reports that AI is dramatically reducing documentation burden — Nuance Dragon reduced documentation time by 80% across 51 hospitals, freeing CNAs to spend more time with patients.

For monitoring and vitals, AI-powered wearables and monitoring devices provide real-time data on patient vital signs and activities, so CNAs can use this information to tailor their care and quickly respond to any changes in a patient's condition. Robots are also entering hospitals, but as helpers, not caregivers. At Cedars-Sinai, Moxi fetches supplies and delivers lab samples [1] so staff can stay with patients — and its chief nursing executive admits robots touch things and people touch people; they could never hold a patient's hand or wipe their brow or help them brush their teeth.

Real-world limits are showing, too: MultiCare hospitals unplugged their Moxi fleet [2] after the robots got lost in corridors and needed human handlers.

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AI Adoption

How fast is AI adoption growing for Nursing Assistants?

Adoption is being pushed fast by a brutal labor shortage — the U.S. Bureau of Labor Statistics [3] still projects steady demand for nursing assistants as the population ages, and industry groups like AHCA/NCAL are actively running webinar series on supporting the workforce with smart technology [4]. Documentation AI and virtual nursing platforms are cheap to deploy and quickly cut burnout, so facilities are eager to buy in. But adoption is also slowed down by real barriers: robots that do bathing, dressing, and transferring patients safely don't exist commercially, physical-care robots cost far more than a CNA's wages, and residents and families often resist replacing human comfort with machines.

As one CNA-focused publication puts it, AI cannot perform physical patient care — bathing, mobility assistance, wound care, and vital signs require human hands. The likely future for the next several years is a CNA whose paperwork is lighter, whose supply runs are handled by a robot down the hall, and whose empathy and hands remain irreplaceable.

Sources

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Will AI replace Nursing Assistants?

Will AI replace Nursing Assistants?

No. We don't think AI will replace Nursing Assistants, but we do expect the job to get a meaningful upgrade.

Nursing assistants earn a 66.1% AI Resilience Score from us, and the reason is straightforward: the core of this work is physical, emotional, and deeply human. Bathing, dressing, transferring, and comforting patients are things machines simply cannot do safely or warmly. As the chief nursing executive at Cedars-Sinai put it, robots touch things and people touch people [1]. That line captures the real limit of automation here.

What AI is already doing is taking the paperwork off your plate and handling supply runs down the hall. That is a genuine win for CNAs, not a threat. When robots struggled to navigate hospital corridors and needed human handlers to keep them on track, facilities unplugged them [2]. The technology is still far from ready to step into a caregiving role.

The job market backs this up. The Bureau of Labor Statistics projects steady demand for nursing assistants as the U.S. population ages [3], and industry groups are actively focused on using technology to support the workforce, not shrink it [4]. If you are considering this career, the future looks like lighter admin work and more time with patients, not a pink slip from a robot.

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Latest AI news for Nursing Assistants

These articles highlight the evolving role of Nursing Assistants in an AI-driven healthcare landscape. For instance, Epic's AI tools significantly reduce charting time, allowing Nursing Assistants to focus more on patient care rather than paperwork. However, the rise of AI also raises concerns, as seen in the gig economy's impact on job security and quality of care. Embracing technology while prioritizing patient interaction can help future Nursing Assistants navigate these changes, ensuring a resilient and meaningful career despite AI advancements.

More Career Info

Career: Nursing Assistants

They help patients by assisting with daily tasks, checking vital signs, and providing comfort and support under the supervision of nurses.

Employment & Wage Data

Median Wage

$42,260

Jobs (2025)

1,505,900

Growth (2025-35)

+2.6%

Annual Openings

196,200

Education

Postsecondary nondegree award

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

95% ResilienceCore Task

Undress, wash, and dress patients who are unable to do so for themselves.

2

95% ResilienceSupplemental

Administer medications or treatments, such as catheterizations, suppositories, irrigations, enemas, massages, or douches, as directed by a physician or nurse.

3

94% ResilienceCore Task

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.

4

94% ResilienceCore Task

Wash, groom, shave, or drape patients to prepare them for surgery, treatment, or examination.

5

94% ResilienceSupplemental

Position or hold patients in position for surgical preparation.

6

93% ResilienceCore Task

Communicate with patients to ascertain feelings or need for assistance or social and emotional support.

7

93% ResilienceCore Task

Turn or reposition bedridden patients.

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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