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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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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
69.3%
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.
Most data sources align, with only minor variation. This is a well-supported result.
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 considered "Resilient" because their core tasks involve hands-on care that requires human judgment and empathy, which are difficult for AI to replicate. While AI tools and robots can help with routine chores like delivering items or assisting with heavy lifting, they can't replace the personal touch needed for feeding, bathing, or comforting patients.
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Nursing assistants are considered "Resilient" because their core tasks involve hands-on care that requires human judgment and empathy, which are difficult for AI to replicate. While AI tools and robots can help with routine chores like delivering items or assisting with heavy lifting, they can't replace the personal touch needed for feeding, bathing, or comforting patients.
Read full analysisAnalysis of Current AI Resilience
Nursing Assistants
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Nursing Assistants jobs?
Nursing assistants do many caring tasks that are hard to fully automate. Today, AI is mostly helping with routine chores. For example, hospitals use robots (like Diligent Robotics’ “Moxi” and Aethon’s “TUG”) to carry linens, towels, medications and other supplies to patient rooms [1].
Some robots can even bring meals or snacks to patients [2]. Voice-based tools and reminder apps are also used: one study found that older adults took their prescribed pills much more reliably after using a voice-assistant reminder [2]. These systems can remind patients about meds or help record data, freeing up nurses’ time.
Hands-on care tasks are mostly still done by people. Wearable exoskeletons and motorized lifts are being introduced to help nurses lift or turn patients safely [2] [2]. In one example, a Japanese robot called AIREC is being tested to gently reposition bedridden patients for diaper changes and to prevent pressure sores [1].
There are also “smart beds” that automatically weigh and turn patients in bed [2], which helps record height/weight without extra work. However, truly personal tasks like feeding, bathing or dressing patients still require a human touch. In fact, experts estimate that about 90% of nursing tasks will still need human judgment and compassion [1].
In short, AI and robots today mostly handle simple deliveries and reminders, or support nurses with heavy lifting and basic monitoring, while nursing assistants continue the hands-on patient care.
Sources
How fast is AI adoption growing for Nursing Assistants?
How fast AI tools spread in nursing depends on many factors. On one hand, there is strong pressure to adopt them quickly. The world is facing a huge nurse shortage (the WHO projects millions of nurses short by 2030 [3], and one report warned of over 73,000 US nursing-assistant vacancies by 2028 [4]).
Robots that do routine jobs can ease staff shortages and burnout. Startups and hospitals are already testing new models like Foxconn’s “Nurabot” and others to deliver items and run errands for nurses [3] [1]. In cases where these machines proved reliable, studies even found better care outcomes – for example, Japanese nursing homes using more “monitoring” and lift-assist” robots saw fewer patient bedsores and retained more caregivers on staff [5] [5].
On the other hand, healthcare settings are cautious. Building and deploying robots is expensive and complex [2]. Hospitals need time to train staff and connect robots to their record systems.
There are also real human factors: many people would rather have a nurse walk them through tasks than a machine, and tight spaces or privacy rules can make robots hard to use [3] [3]. The strong safety and privacy regulations in healthcare mean new tools are tested slowly. Because of this, most experts expect robots to augment rather than replace nursing assistants.
In other words, AI can take on simple, repetitive or heavy work so that human caregivers can focus on personal care and decision-making [1] [5]. Over time, as these systems prove they help without causing harm, hospitals will likely use them more – but always with nurses overseeing in charge.
Sources
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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.
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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
Record height or weight of patients.
2
Turn or reposition bedridden patients.
3
Undress, wash, and dress patients who are unable to do so for themselves.
4
Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.
5
Position or hold patients in position for surgical preparation.
6
Exercise patients who are comatose, paralyzed, or have restricted mobility.
7
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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