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AI Automation Index
Will AI Replace Hospitalists?
Task-level automation exposure for Hospitalists: 14 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
46%
weighted task index
14 of 14 tasks scored
Median Salary
$265,930 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Very High
342,720 people hold this job — size, not growth
Projected 2025–35
+3.4%
employment change
9,400 openings a year · BLS line item
Pay by state
BLS OEWS publishes 51 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$77,430 – $454,550
Highest medians
North Dakota $454,550
Montana $438,850
Maine $419,410
Wisconsin $391,740
Minnesota $367,320
Lowest medians
District of Columbia $77,430
Illinois $132,540
Arkansas $136,880
Michigan $155,480
Puerto Rico $172,230
State figures come from the 29-1229 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 46%
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 70%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 15%
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 79/100
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
14 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) 20%
3 tasks
Medium exposure (≥ 35%) 49%
7 tasks
Low exposure (below 35%) 30%
4 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
#17106 · Core · 28% automatable
Diagnose, treat, or provide continuous care to hospital inpatients.
decision support — AI suggests differentials; clinician examines and owns diagnosis
Diagnose medical conditions. Treat chronic diseases or disorders.
#17102 · Core · 22% automatable
Prescribe medications or treatment regimens to hospital inpatients.
decision support — Prescribing medications is licensed high-stakes judgment
Prescribe medications.
#17103 · Core · 52% automatable
Order or interpret the results of tests such as laboratory tests and radiographs (x-rays).
visual inspection — Image interpretation assists; radiologist owns diagnosis
Analyze test data or images to inform diagnosis or treatment. Order medical diagnostic or clinical tests.
#17107 · Core · 70% automatable
Admit patients for hospital stays.
text generation — Healthcare forms processed digitally; human verifies edge cases
Process healthcare paperwork.
#17105 · Core · 38% automatable
Conduct discharge planning and discharge patients.
decision support — Medical plans need exam, liability, and clinical judgment
Develop medical treatment plans.
#17099 · Core · 56% automatable
Write patient discharge summaries and send them to primary care physicians.
text generation — Summarize diagnostic and care activities into reports
Prepare reports summarizing patient diagnostic or care activities. Inform medical professionals regarding patient conditions and care.
#17096 · Core · 55% automatable
Refer patients to medical specialists, social services, or other professionals as appropriate.
decision support — Clinical referral judgment needs licensed human accountability
Refer patients to other healthcare practitioners or health resources.
#17098 · Core · 25% automatable
Direct, coordinate, or supervise the patient care activities of nursing or support staff.
interpersonal — Patient care supervision is live clinical leadership
Supervise patient care personnel.
#17104 · Core · 75% automatable
Attend inpatient consultations in areas of specialty.
information retrieval — AI summarizes medical updates; human retains judgment
Maintain medical or professional knowledge.
#17108 · Core · 45% automatable
Communicate with patients' primary care physicians upon admission, when treatment plans change, or at discharge to maintain continuity and quality of care.
interpersonal — Clinical handoff carries accountability and nuance
Inform medical professionals regarding patient conditions and care.
#17097 · Core · 75% automatable
Participate in continuing education activities to maintain or enhance knowledge and skills.
information retrieval — AI summarizes medical updates; human retains judgment
Maintain medical or professional knowledge.
#23920 · Core · 49% automatable
Direct or support quality improvement projects or safety programs.
decision support — Compliance coordination needs human accountability and site action
Coordinate safety or regulatory compliance activities. Direct quality control activities.
#17100 · Core · 35% automatable
Direct the operations of short stay or specialty units.
interpersonal — Healthcare operations accountability and staffing are human
Manage healthcare operations.
#17101 · Core · 28% automatable
Train or supervise medical students, residents, or other health professionals.
interpersonal — Provider training is clinical, hands-on, accountable
Train medical providers. Supervise patient care personnel.
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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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