Will AI replace Physician Assistants?
Work in Physician Assistants sits in the in-between: AI reaches some of it (~38% in theory) but is only measured doing about 0% today — part human, part machine.
O*NET-SOC 29-1071
How your 17 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~38%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~38%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 17 tasks, ratedBased on real task-level AI scores — click to collapse
- None — AI cannot fully do any core task alone yet.
- Make tentative diagnoses and decisions about management and treatment of patients.
- Interpret diagnostic test results for deviations from normal.
- Prescribe therapy or medication with physician approval.
- Obtain, compile, and record patient medical data, including health history, progress notes, and results of physical examination.
- Administer or order diagnostic tests, such as x-ray, electrocardiogram, and laboratory tests.
- Instruct and counsel patients about prescribed therapeutic regimens, normal growth and development, family planning, emotional problems of daily living, and health maintenance.
- Visit and observe patients on hospital rounds or house calls, updating charts, ordering therapy, and reporting back to physician.
- Supervise and coordinate activities of technicians and technical assistants.
- Order medical and laboratory supplies and equipment.
- Verify availability of operating room supplies, medications, and gases.
- Participate in seminars, workshops, or other professional activities to keep abreast of developments in anesthesiology.
- Examine patients to obtain information about their physical condition.
- Perform therapeutic procedures, such as injections, immunizations, suturing and wound care, and infection management.
- Provide physicians with assistance during surgery or complicated medical procedures.
- Provide airway management interventions including tracheal intubation, fiber optics, or ventilary support.
- Respond to emergency situations by providing cardiopulmonary resuscitation (CPR), basic cardiac life support (BLS), advanced cardiac life support (ACLS), or pediatric advanced life support (PALS).
- Pretest and calibrate anesthesia delivery systems and monitors.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.