Resilient

Last Update: 5/19/2026

Your role’s AI Resilience Score is

70.7%

Median Score

Meaningful human contribution

High

Long-term employer demand

High

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

AI Resilience Report forNursing Assistants

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 — bathing patients, helping people move safely, offering comfort and human connection — simply can't be done by a robot or an algorithm. AI tools are stepping in to handle paperwork and routine errands, which actually frees up 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 — bathing patients, helping people move safely, offering comfort and human connection — simply can't be done by a robot or an algorithm. AI tools are stepping in to handle paperwork and routine errands, which actually frees up 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 • Last Update: 5/14/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Nursing Assistants jobs?

Right now, AI is mostly augmenting nursing assistants — helping them do their jobs better — rather than replacing them. Most of the AI tools entering hospitals focus on the screen-and-paperwork side of care. For example, Abridge just rolled out an ambient AI documentation tool for nurses that listens during patient interactions and drafts notes into the electronic health record, and Newsweek reports that early users at Corewell Health saved nearly 30 minutes per shift on documentation [1].

On the physical side, robots are starting to take on small repetitive errands: CNN Business reports that Foxconn's "Nurabot" humanoid is being tested in Taiwan to deliver medication and guide patients around the ward, and the company claims the robot can reduce nurses' workload by up to 30% [2] without replacing staff. But the hands-on parts of a CNA's day — bathing, turning bedridden patients, lifting people onto stretchers — remain firmly human work, because today's robots can't safely or gently handle a real human body.

Sources

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AI Adoption

How fast is AI adoption growing for Nursing Assistants?

Adoption is happening, but slowly and unevenly. The U.S. Bureau of Labor Statistics still projects about 211,800 openings for nursing assistants and orderlies each year through 2034 [3], and the American Health Care Association's 2026 workforce report [4] lists "advance AI clinical policies" alongside recruitment as a strategy because nursing homes still haven't recovered all the jobs lost during the pandemic. With such a deep caregiver shortage — the Urban Institute notes that low wages and high turnover have left facilities chronically understaffed [5] — employers are eager for any tech that lightens the load.

But trust, cost, and safety slow things down: Newsweek notes that many nurses have "lost trust in tech," so Abridge has been deliberately moving slowly [1], and humanoid robots remain expensive and limited. The bottom line for young people: empathy, gentle hands, and human judgment — the heart of being a CNA — are exactly the skills AI is worst at.

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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

$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

Task-Level AI Resilience Scores

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

1

96% ResilienceCore Task

Record height or weight of patients.

2

96% ResilienceCore Task

Turn or reposition bedridden patients.

3

96% ResilienceCore Task

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

4

96% ResilienceCore Task

Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.

5

96% ResilienceSupplemental

Position or hold patients in position for surgical preparation.

6

96% ResilienceSupplemental

Exercise patients who are comatose, paralyzed, or have restricted mobility.

7

95% ResilienceCore Task

Feed patients or assist patients to eat or drink.

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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