Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Healthcare Support Worker:
55.3%
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.
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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%).
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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%).
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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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forHealthcare Support Workers, All Other
$48,430 median salary•14,100 annual openings•SOC Code: 31-9099.00
Healthcare Support Workers, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Healthcare support workers are labeled "Mostly Resilient" because the heart of their job, things like comforting patients, taking vital signs, and physically preparing people for care, requires a human presence that AI simply cannot replicate. Right now, AI tools are stepping in to handle paperwork and documentation (like drafting clinical notes automatically), which actually frees up support workers to spend more time doing the hands-on, people-focused tasks they do best.
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This role is mostly resilient
Healthcare support workers are labeled "Mostly Resilient" because the heart of their job, things like comforting patients, taking vital signs, and physically preparing people for care, requires a human presence that AI simply cannot replicate. Right now, AI tools are stepping in to handle paperwork and documentation (like drafting clinical notes automatically), which actually frees up support workers to spend more time doing the hands-on, people-focused tasks they do best.
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Analysis of Current AI Resilience
Healthcare Support Worker
Updated Quarterly

How is AI changing Healthcare Support Worker jobs?
Healthcare support workers are seeing far more augmentation than replacement. Most current AI tools handle the paperwork side of care rather than the hands-on tasks — like taking vital signs or prepping a patient — that make up much of this job. The biggest example is "ambient AI scribes," which listen during visits and draft notes automatically.
In a study across five academic medical centers, ambient scribes cut electronic health record time by 13.4 minutes and documentation time by 16 minutes per clinician [1], freeing up support staff to spend more time with patients. Even so, a large trial reported by STAT found that scribes saved clinicians under a minute per clinical note [2], showing the technology is still maturing. Physician-adjacent adoption is climbing quickly — the AMA reports that 81% of physicians now use AI professionally, more than double the 2023 rate [3] — which pulls support workers into new AI-assisted workflows for messaging, coding, and record summaries.
Sources

How fast is AI adoption growing for Healthcare Support Worker?
Adoption is being pulled forward by staffing shortages. The National Healthcareer Association's 2026 survey found that 48% of employers report expanded duties for medical assistants amid workforce pressures [4], giving hospitals strong economic reasons to try AI. HealthTech Magazine notes that intelligent automation can ease burnout and let scarce healthcare professionals focus on higher-value tasks [5].
But adoption is also slowed by real barriers: protected health information rules, legal review, and employee concerns about job displacement. The good news for young people entering this field: the human parts — comforting patients, physically prepping them, noticing subtle changes — remain the very things AI can't do, and demand for these workers keeps growing.
Sources

Will AI replace Healthcare Support Worker?
No. We don't think AI will replace Healthcare Support Workers, All Other, though we do expect the job to change.
Our 55.3% AI Resilience Score reflects a field where AI is stepping in as a helper, not a replacement. The biggest shift right now is on the documentation side. Ambient AI scribes are cutting the time clinicians spend on electronic health records [1], which pulls support workers into new, AI-assisted workflows. But the core of this job, taking vital signs, prepping patients, noticing subtle changes in how someone looks or feels, stays firmly human.
Staffing shortages are actually accelerating AI adoption here, but for reasons that protect workers rather than cut them. Nearly half of employers have expanded duties for medical assistants because there simply aren't enough people to go around [4]. AI is being used to ease burnout and free up staff for higher-value tasks [5], not to eliminate positions. With 81% of physicians now using AI professionally [3], support workers who learn to work alongside these tools will have a real advantage.
The economic picture is moderate, not a slam dunk, but demand for this work continues to grow. The human parts of care are exactly what AI cannot replicate, and that matters most in healthcare.
Sources

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More Career Info
Career: Healthcare Support Workers, All Other
They assist healthcare professionals by performing tasks like taking vital signs, preparing patients for exams, and ensuring medical equipment is ready.
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Employment & Wage Data
Median Wage
$48,430
Jobs (2025)
113,900
Growth (2025-35)
+4.8%
Annual Openings
14,100
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
