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AI Automation Index
Will AI Replace Family Medicine Physicians?
Task-level automation exposure for Family Medicine Physicians: 12 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
41%
weighted task index
12 of 12 tasks scored
Median Salary
$244,180 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
107,510 people hold this job — size, not growth
Projected 2025–35
+3.3%
employment change
2,900 openings a year · BLS line item
Pay by state
BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$112,990 – $467,160
Highest medians
Rhode Island $467,160
Oklahoma $361,350
Idaho $347,160
Montana $330,760
Alaska $323,490
Lowest medians
Puerto Rico $112,990
Alabama $134,550
Connecticut $163,930
Missouri $171,180
New York $210,920
State figures come from the 29-1215 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 41%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 58%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 14%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 97/100
High
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
12 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 4%
1 tasks
Medium exposure (≥ 35%) 72%
8 tasks
Low exposure (below 35%) 24%
3 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Constituent Tasks
#7771 · Core · 17% automatable
Prescribe or administer treatment, therapy, medication, vaccination, and other specialized medical care to treat or prevent illness, disease, or injury.
decision support — Prescribing therapy requires licensed clinical accountability
Immunize patients. Prescribe treatments or therapies. Prescribe medications.
#7772 · Core · 52% automatable
Order, perform, and interpret tests and analyze records, reports, and examination information to diagnose patients' condition.
visual inspection — Image interpretation assists; radiologist owns diagnosis
Analyze test data or images to inform diagnosis or treatment. Order medical diagnostic or clinical tests.
#7774 · Core · 46% automatable
Collect, record, and maintain patient information, such as medical history, reports, or examination results.
interpersonal — Patient history requires live elicitation and judgment
Collect medical information from patients, family members, or other medical professionals. Record patient medical histories.
#7773 · Core · 35% automatable
Monitor patients' conditions and progress and reevaluate treatments as necessary.
decision support — AI aids chart review; clinical observation of patient is human
Monitor patient progress or responses to treatments.
#7775 · Core · 40% automatable
Explain procedures and discuss test results or prescribed treatments with patients.
interpersonal — Results delivery needs empathy and clinical judgment
Explain medical procedures or test results to patients or family members.
#7776 · Core · 55% automatable
Advise patients and community members concerning diet, activity, hygiene, and disease prevention.
decision support — Wellness advice needs tailoring and clinical accountability
Provide health and wellness advice to patients, program participants, or caregivers. Advise communities or institutions regarding health or safety issues.
#7778 · Core · 25% automatable
Direct and coordinate activities of nurses, students, assistants, specialists, therapists, and other medical staff.
interpersonal — Patient care supervision is live clinical leadership
Supervise patient care personnel.
#7777 · Core · 55% automatable
Refer patients to medical specialists or other practitioners when necessary.
decision support — Clinical referral judgment needs licensed human accountability
Refer patients to other healthcare practitioners or health resources.
#7779 · Core · 40% automatable
Coordinate work with nurses, social workers, rehabilitation therapists, pharmacists, psychologists, and other health care providers.
interpersonal — Treatment planning collaboration is accountable clinical work
Collaborate with healthcare professionals to plan or provide treatment.
#7782 · Core · 35% automatable
Plan, implement, or administer health programs or standards in hospitals, businesses, or communities for prevention or treatment of injury or illness.
decision support — Drafts health program design; implementation and buy-in human
Design public or employee health programs. Direct healthcare delivery programs.
#20120 · Core · 30% automatable
Train residents, medical students, and other health care professionals.
interpersonal — Provider training is clinical, hands-on, accountable
Train medical providers.
#20121 · Supplemental · 68% automatable
Prepare government or organizational reports which include birth, death, and disease statistics, workforce evaluations, or medical status of individuals.
text generation — Health records drafted; clinician verifies and signs
Prepare official health documents or records.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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