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Physician
Three components - Automation Resistance, Structural Moat, and Demand - add up to 75. The score is held with lower certainty because the federal figures use family medicine as the representative physician measure, not every specialty at once.
This score uses the broad physician family, with family medicine as the representative public comparison for several measures. Specialties can differ a lot in pay, training length, AI exposure, and day-to-day risk.
AI reaches physician work through chart review, documentation, inbox triage, diagnostic suggestions, and imaging support. Replacement pressure stays bounded because final diagnosis, prescribing, procedures, patient accountability, and malpractice risk remain attached to the licensed physician.
observed AI exposure of 0% and modeled median job-loss risk of 5.67%. The modeled risk signal places the role in the low range, and hands-on clinical care raises the score within that range.
strong AI support that is capped by the low hard demand score. Chart review, notes, inbox triage, guideline lookup, differential support, referral letters, and prior authorization can help, but the worker-side gain depends heavily on practice model.
The protection is the deepest healthcare gate: medical school, licensing exams, residency, state licensure, board certification, controlled-substance authority where needed, and malpractice accountability. Physical exposure varies by specialty, but the legal credential barrier is exceptionally strong.
Family-medicine clinical work supplies the physical-setting estimate: exam rooms, office procedures, infection exposure, and hands-on patient care make the work more physical than office work, while the national family-medicine average is not a heavy bedside or surgical workload.
medical school, national licensing exams, residency, state licensure, enforced scope, board accountability, and continuing requirements.
very low direct robotics substitution for family-medicine physician work. Clinical robots and procedure devices can assist narrow tasks, but they do not replace diagnosis, prescribing, liability, or longitudinal care.
The pathway runs through medical school, national licensing exams, residency, state licensure, and often board certification. Family medicine is a doctoral and residency-trained occupation with one of the deepest credential gates on the site.
Physician demand is durable but its measurable hiring signal is modest: family-medicine employment grows slowly, near 2.7%, even as a documented national shortage, an aging population, and a slow training pipeline keep the underlying need high and very hard to erode over time.
Federal data for family-medicine physicians shows about 116.0K jobs, 2.7% projected growth, and 3.3K annual openings - a modest hiring signal (openings near 2.8% of the workforce), in line with other doctoral, slow-growth clinical paths.
The demand case rests on well-documented shortage evidence beyond the growth number: the AAMC projects a shortage of up to 86,000 physicians, and HRSA designates 8,789 primary-care shortage areas needing 17,306 additional practitioners. Aging patients and chronic-disease management reinforce the need.
Demand persists strongly. Medical school, residency, licensure, and board certification make supply slow to expand, so patient need stays high even when measured employment growth is modest - a structural floor under physician demand.
The threshold is a legal deployment where software can diagnose or prescribe in primary care without a physician approving the decision. Draft notes, suggested plans, inbox triage, and narrow screening tools would fall short because the physician remains legally responsible for the risk.
A sustained increase in funded residency slots that materially lifts family-medicine supply would cross the threshold. Small additions would not move the score; the trigger is a pipeline change large enough to weaken shortage pressure and improve access broadly. Family-medicine supply, shortage-area coverage, and access metrics would need to move together.
A major downward revision in physician-shortage evidence would cross the threshold, especially if NPs, PAs, telehealth, or care-team redesign absorb more primary-care demand than expected. The family-medicine data would remain the measurable anchor. Care-team absorption of routine primary care would need to weaken the shortage signal.