Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
They help doctors by taking patients' vital signs, drawing blood, and managing medical records to ensure everything runs smoothly in a healthcare setting.
Summary
The career of a medical assistant is labeled as "Evolving" because AI is starting to take over some routine office tasks, like scheduling and note-taking, which helps make the work faster and more efficient. However, hands-on care tasks, such as helping patients and providing personal support, still need human skills like empathy and fine motor control, which AI can't replace.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
The career of a medical assistant is labeled as "Evolving" because AI is starting to take over some routine office tasks, like scheduling and note-taking, which helps make the work faster and more efficient. However, hands-on care tasks, such as helping patients and providing personal support, still need human skills like empathy and fine motor control, which AI can't replace.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Medical Assistants
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Many office-type tasks are already being helped by AI tools. For example, doctors and assistants use electronic health record (EHR) systems with voice-recognition and AI “scribes” that can listen to patient visits and fill in notes, saving typing time [1]. Chatbots and scheduling software can book or remind patients of appointments [1].
Some clinics even have self-service check-in kiosks so patients can log themselves in without a receptionist [2]. These tools make paperwork and scheduling faster and easier for medical staff. However, they aren’t perfect and still need human oversight.
In fact, studies show AI transcription still needs editing by a person for accuracy [1] [1].
Hands-on care tasks are much less automated. Hospitals are experimenting with cleaning robots – for example, the “Violet” robot uses UV light to disinfect rooms much faster than manual cleaning [3] – but most exam room prep is still done by people. Tasks like helping put a patient in place, handing injection needles, or changing dressings rely on human touch and judgment.
Those kinds of tasks require fine motor skills and empathy that machines aren’t good at [4] [3]. In short, AI is beginning to handle routine clerical chores, but the personal and dexterous parts of medical assisting remain very human.

AI Adoption
Healthcare organizations consider many factors before using AI. On one hand, tools for scheduling and documentation are readily available and staffing shortages make efficiency important [5] [1]. Automated reminders and chatbots, for example, can be cost-effective ways to reduce missed appointments and paperwork.
On the other hand, medicine is a sensitive field. Privacy laws (like HIPAA) mean clinics must be very careful with patient data, and many patients and providers worry that too much automation could hurt the personal touch in care [1] [5].
Cost is also a big issue. Medical assistants typically earn modest wages, and buying or implementing AI systems can be expensive. Small clinics may decide it’s cheaper to keep a human at the desk than buy new software.
Patients often feel more comfortable talking to a friendly person, especially if they are anxious or not tech-savvy [2] [4]. For these reasons, experts believe AI will more likely assist medical assistants rather than replace them. The empathy, quick decision-making, and hands-on skills that humans provide are still very hard to automate [4] [1].
In the end, AI can take over some of the routine chores so medical assistants have more time for patients, but hospital teams will still need real people for the caring work.

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Median Wage
$44,200
Jobs (2024)
811,000
Growth (2024-34)
+12.5%
Annual Openings
112,300
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Help physicians examine and treat patients, handing them instruments or materials or performing such tasks as giving injections or removing sutures.
Change dressings on wounds.
Show patients to examination rooms and prepare them for the physician.
Prepare and administer medications as directed by a physician.
Prepare treatment rooms for patient examinations, keeping the rooms neat and clean.
Set up medical laboratory equipment.
Interview patients to obtain medical information and measure their vital signs, weight, and height.
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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