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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.
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%).
Med
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
Healthcare Support Workers, All Other are more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled as "Resilient" because it relies heavily on personal care and human support, which are tasks that AI can't easily replace. Healthcare support workers provide hands-on care, like feeding and bathing patients, and offer empathy and compassion, essential qualities that machines lack.
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 it relies heavily on personal care and human support, which are tasks that AI can't easily replace. Healthcare support workers provide hands-on care, like feeding and bathing patients, and offer empathy and compassion, essential qualities that machines lack.
Read full analysisAnalysis of Current AI Resilience
Healthcare Support Worker
Updated Quarterly • Last Update: 2/17/2026

Healthcare support workers often help with everyday patient needs. So far, technology mainly automates behind-the-scenes tasks. For example, hospitals use AI-powered robots to carry medicine, transport lab samples, or clean rooms [1] [2].
Some robots (like the “TUG” robot) deliver supplies within a hospital, freeing aides to focus more on patients [2]. Other AI tools can help with scheduling or monitoring (such as simple apps or chatbots), but most hands-on care tasks (feeding, bathing, talking with patients) are still done by people [1] [1]. Experts expect robots to assist, not replace, care staff: one report estimates that by 2030 about 90% of nursing and support tasks will still need human judgment and compassion [1].
In short, some routine jobs (like moving equipment or disinfecting rooms) see automation, but personal care and human support remain mostly in human hands [1] [2].

Whether more AI tools arrive in this field depends on several factors. On one hand, hospitals face staffing shortages (a study projects a global nursing shortfall of about 10 million by 2030), so they are eager for helpers [1]. AI robots and systems promise cost savings and efficiency: for instance, delivering supplies with robots can cut some costs by up to 80% [2].
This makes companies interested in AI. On the other hand, challenges slow adoption. Many support tasks require a personal touch or flexibility that is hard for machines.
Investing in new robots or software can be expensive compared to current labor costs (a healthcare aide makes about $22/hour on average [3]), so hospitals must justify the cost. There are also social and trust issues: patients and staff often prefer human care, and workers need training to use AI tools safely [4] [1]. In short, AI may help with routine parts of the work (which appeals to managers since it frees staff for more complex care [2]), but widespread use will be gradual.
Overall, human skills like empathy and hands-on care are still very valuable in these roles [1].

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They assist healthcare professionals by performing tasks like taking vital signs, preparing patients for exams, and ensuring medical equipment is ready.
Median Wage
$46,050
Jobs (2024)
109,700
Growth (2024-34)
+3.5%
Annual Openings
14,400
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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