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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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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%).
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%).
High
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.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Physician Assistants are much more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
The career of a Physician Assistant is labeled as "Highly Resilient" because it relies heavily on skills that AI cannot replicate, such as hands-on patient care, empathy, and critical thinking. While AI tools can help with tasks like paperwork and analyzing test results, PAs are essential for performing physical exams, making quick, informed decisions, and providing comfort and guidance to patients.
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 highly resilient
The career of a Physician Assistant is labeled as "Highly Resilient" because it relies heavily on skills that AI cannot replicate, such as hands-on patient care, empathy, and critical thinking. While AI tools can help with tasks like paperwork and analyzing test results, PAs are essential for performing physical exams, making quick, informed decisions, and providing comfort and guidance to patients.
Read full analysisAnalysis of Current AI Resilience
Physician Assistants
Updated Quarterly • Last Update: 2/17/2026

AI today mainly helps with paperwork and reading tests. For example, new software can listen to doctor visits and automatically write up notes, so clinicians spend less time typing [1] [2]. Systems can also scan labs and X-rays: in fact, one report says an AI often interprets your blood test or X-ray before a human sees it [2].
AI tools can even suggest likely diagnoses or flag subtle issues in images, based on the latest medical research [1] [2]. In practice, most of these features are used as helpers, not replacements. Right now such tools are mostly applied to administrative work (like transcribing visits) and decision support, while a real PA or doctor still reviews and finalizes everything [1] [2].
Tasks that need hands-on care remain far less affected. No AI can do a physical exam by itself – machines can measure a heartbeat or blood pressure, but a PA’s eyes and hands and judgement are still needed to examine patients. Surgical robots exist, but they are controlled by doctors, not by AI acting alone.
Likewise, managing a care team or comforting a patient requires human empathy and leadership. In short, AI is automating many “background” tasks (like data entry and scan reading) [1] [3], but tasks requiring direct human interaction or judgment stay firmly in human hands.

Hospitals and clinics are investing in AI because it promises big benefits. Research and companies note that good AI could improve care and cut costs – for instance, by helping doctors make faster diagnoses or avoid mistakes [1] [2]. Many PAs already work in busy systems with doctor shortages (one analysis even predicts PAs will outnumber primary doctors by 2031 [1]), so any tools that ease workload are welcome.
Surveys show most healthcare leaders believe AI can speed up research, improve diagnostics, and automate routine work [4] [2].
On the other hand, adoption is careful and gradual. New medical AI must pass strict safety reviews (for example, the FDA has approved 1,000+ tools [2]). Doctors and nurses are rightly cautious – patients also have concerns.
A 2023 survey found many Americans worry about AI being used in their care and want transparency [1]. Clinicians say they need better training and good data before relying on AI [4] [1]. In short, it’s likely PAs will gain AI helpers (for taking notes or checking scans) faster than they will be replaced.
The human skills of examining patients, communicating with families, and making on-the-spot decisions remain valuable and trusted. As one expert put it, AI in medicine is a tool “to lighten doctors’ workloads” – not to make doctors (or PAs) obsolete [2] [4].

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They help doctors by examining patients, diagnosing illnesses, and providing treatments to help people feel better.
Median Wage
$133,260
Jobs (2024)
162,700
Growth (2024-34)
+20.4%
Annual Openings
12,000
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Supervise and coordinate activities of technicians and technical assistants.
Instruct and counsel patients about prescribed therapeutic regimens, normal growth and development, family planning, emotional problems of daily living, and health maintenance.
Examine patients to obtain information about their physical condition.
Perform therapeutic procedures, such as injections, immunizations, suturing and wound care, and infection management.
Make tentative diagnoses and decisions about management and treatment of patients.
Provide physicians with assistance during surgery or complicated medical procedures.
Prescribe therapy or medication with physician approval.
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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