AI exposure by occupation, O*NET 29-1229.02
Will AI replace Hospitalists?
Hospitalists: AI can already handle 2 of 14 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 14 tasks O*NET 30.3 lists for Hospitalists, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Order or interpret the results of tests such as laboratory tests and radiographs (x-rays). | Estimated | Standard | |
| Attend inpatient consultations in areas of specialty. | Estimated | Standard | |
| Conduct discharge planning and discharge patients. | Estimated | Frontier | |
| Direct, coordinate, or supervise the patient care activities of nursing or support staff. | Estimated | Frontier | |
| Communicate with patients' primary care physicians upon admission, when treatment plans change, or at discharge to maintain continuity and quality of care. | Estimated | Standard | |
| Admit patients for hospital stays. | Estimated | Efficient | |
| Write patient discharge summaries and send them to primary care physicians. | Estimated | Efficient | |
| Refer patients to medical specialists, social services, or other professionals as appropriate. | Estimated | Standard | |
| Direct or support quality improvement projects or safety programs. | Estimated | Frontier | |
| Direct the operations of short stay or specialty units. | Estimated | Frontier | |
| Train or supervise medical students, residents, or other health professionals. | Estimated | Efficient | |
| Participate in continuing education activities to maintain or enhance knowledge and skills. | Estimated | Efficient | |
| Prescribe medications or treatment regimens to hospital inpatients. | Estimated | No tier | |
| Diagnose, treat, or provide continuous care to hospital inpatients. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 14 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 14 of 14. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 84% of the role's importance-weighted task work. 84% of the work is something AI can address at some tier, and 16% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 342,720
- Median annual wage
- $265,930
- Middle half of earners
- $102,930 to $378,770
- Projected change, 2024 to 2034
- +2.5%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- General Internal Medicine Physicians 69% skill overlap, about 11 months to move Exposure31
- Physical Medicine and Rehabilitation Physicians 62% skill overlap, about 14 months to move Exposure40
- Obstetricians and Gynecologists 62% skill overlap, about 14 months to move Exposure39
- Psychiatrists 62% skill overlap, about 14 months to move Exposure34
- Emergency Medicine Physicians 62% skill overlap, about 14 months to move Exposure43
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Hospitalists and AI
Will AI replace Hospitalists?
AI already handles 2 of the 14 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 41 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +2.5% from 2024 to 2034.
What is the AI exposure of Hospitalists?
41 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 14 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 14 are estimated from each task's O*NET work activity.
Which Hospitalists tasks can AI already do?
The tasks with the highest exposure are: Order or interpret the results of tests such as laboratory tests and radiographs (x-rays); Attend inpatient consultations in areas of specialty. They are the tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 84% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Hospitalists, and what do they earn?
342,720 people in the United States, with a median annual wage of $265,930 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +2.5% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Hospitalists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/hospitalists
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