BETA
Updated: Mar 2
BETA
Updated: Mar 2
Stable
Last Update: 2/17/2026
Your role’s AI Resilience Score is
72.1%
Median Score
Changing Fast
Evolving
Stable
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.
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
Physician Assistants
They help doctors by examining patients, diagnosing illnesses, and providing treatments to help people feel better.
This role is stable
A career as a Physician Assistant (PA) is considered "Stable" because AI tools are primarily used to assist with paperwork and routine tasks, like reading test results, rather than replacing human roles. PAs continue to be essential for hands-on care, physical exams, and patient interaction, which require human judgment, empathy, and communication skills.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is stable
A career as a Physician Assistant (PA) is considered "Stable" because AI tools are primarily used to assist with paperwork and routine tasks, like reading test results, rather than replacing human roles. PAs continue to be essential for hands-on care, physical exams, and patient interaction, which require human judgment, empathy, and communication skills.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Evolving68.8%
68.8%
Microsoft's Working with AI
AI Applicability
Stable90.6%
90.6%
Anthropic's Economic Index
AI Resilience
Evolving38.8%
38.8%
Will Robots Take My Job
Automation Resilience
Stable90.0%
90.0%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
20.4%
Growth Percentile:
98.7%
Annual Openings:
12,000
Annual Openings Pct:
56.7%
Analysis of Current AI Resilience
Physician Assistants
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
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.
Sources
AI in the real world
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].
Sources
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More Career Info
Career: Physician Assistants
Parent Careers
Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Supervise and coordinate activities of technicians and technical assistants.
2
Provide physicians with assistance during surgery or complicated medical procedures.
3
Examine patients to obtain information about their physical condition.
4
Instruct and counsel patients about prescribed therapeutic regimens, normal growth and development, family planning, emotional problems of daily living, and health maintenance.
5
Perform therapeutic procedures, such as injections, immunizations, suturing and wound care, and infection management.
6
Visit and observe patients on hospital rounds or house calls, updating charts, ordering therapy, and reporting back to physician.
7
Make tentative diagnoses and decisions about management and treatment of patients.
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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