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Singulariki

Hospitalists

Occupation · SOC 29-1229.02

Provide inpatient care predominantly in settings such as medical wards, acute care units, intensive care units, rehabilitation centers, or emergency rooms. Manage and coordinate patient care throughout treatment.

Also called: Hospitalist · Hospitalist Medical Doctor (Hospitalist MD) · MD (Medical Doctor) · Physician · Academic Hospitalist · Consultant Physician · DO Physician (Doctor of Osteopathic Medicine Physician) · Hospitalist Nocturnist Physician · Hospitalist Physician · Intensivist · Internal Medicine Hospitalist · Neonatal Intensive Care Unit Hospitalist (Neonatal ICU Hospitalist)

Job family: Healthcare Practitioners and Technical Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-29-1229-02/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

58th-percentile task overlap — yet about 9,600 openings a year (+2.5% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
LLM task exposure, γ (OpenAI / Eloundou) High 83rd 0.9
AI assistant applicability (Microsoft) Moderate 35th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.6), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +2.5% by 2034
Projected annual openings 9,600
Employment 2024 → 2034 340,700 → 349,300

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Tasks

All 14 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Medicine and Dentistry 5.0
Biology 4.6
English Language 4.6
Psychology 4.3
Education and Training 4.0
Therapy and Counseling 4.0
Customer and Personal Service 3.8

Abilities

Inductive Reasoning 4.5
Oral Comprehension 4.3
Written Comprehension 4.3
Oral Expression 4.3
Deductive Reasoning 4.1
Written Expression 4.0
Problem Sensitivity 4.0
Speech Clarity 4.0
Near Vision 3.9
Speech Recognition 3.9
Information Ordering 3.8
Category Flexibility 3.8
Flexibility of Closure 3.5
Speed of Closure 3.3

Essential skills

Reading Comprehension 4.1
Active Listening 4.1
Speaking 4.1
Critical Thinking 4.1
Active Learning 4.1
Monitoring 4.0
Writing 3.9
Science 3.4
Learning Strategies 3.3

Transferable skills

Social Perceptiveness 4.1
Complex Problem Solving 4.1
Judgment and Decision Making 4.1
Service Orientation 4.0
Coordination 3.9
Persuasion 3.3
Instructing 3.3
Time Management 3.3
Systems Analysis 3.1
Systems Evaluation 3.1

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Epic Systems Medical software Hot technology In demand
MEDITECH software Medical software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Billing software Billing and invoicing software
Computerized physician order entry CPOE software Medical software
Electronic medical record EMR software Medical software
Email software Electronic mail software
Epocrates Medical software
Global positioning system GPS software Mobile location based services software
MDeverywhere Medical software
Medical decision support software Medical software
Medical procedure coding software Medical software
Medical reference software Information retrieval or search software
Web browser software Internet browser software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Telephone Conversations 5.0
Face-to-Face Discussions with Individuals and Within Teams 5.0
Indoors, Environmentally Controlled 4.9
Frequency of Decision Making 4.9
Contact With Others 4.8
Exposed to Disease or Infections 4.8
Work With or Contribute to a Work Group or Team 4.8
Impact of Decisions on Co-workers or Company Results 4.8
E-Mail 4.6
Freedom to Make Decisions 4.6
Importance of Being Exact or Accurate 4.6
Physical Proximity 4.5
Consequence of Error 4.5
Time Pressure 4.4
Coordinate or Lead Others in Accomplishing Work Activities 4.3
Dealing With Unpleasant, Angry, or Discourteous People 4.3
Conflict Situations 4.2
Determine Tasks, Priorities and Goals 4.2
Deal With External Customers or the Public in General 4.1
Health and Safety of Other Workers 4.0
Work Outcomes and Results of Other Workers 3.9
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.7
Written Letters and Memos 3.6
Level of Competition 3.5
Spend Time Sitting 3.2
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 3.2
Exposed to Contaminants 3.1
Dealing with Violent or Physically Aggressive People 3.1
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.0
Public Speaking 3.0
Importance of Repeating Same Tasks 2.9
Spend Time Standing 2.8
Spend Time Walking or Running 2.8
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.7
Exposed to Radiation 2.2
Spend Time Making Repetitive Motions 2.1
Exposed to Hazardous Conditions 1.8
Exposed to Cramped Work Space, Awkward Positions 1.8
Degree of Automation 1.7
Exposed to Minor Burns, Cuts, Bites, or Stings 1.7

How to get in

Job zone
Zone 5 — Job Zone Five: Extensive Preparation Needed
Education
Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
Typical entry-level education
Doctoral or professional degree · BLS, the typical path — not a requirement
Related experience
Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience. For example, surgeons must complete four years of college and an additional five to seven years of specialized medical training to be able to do their job.
Preparation level
SVP (8.0 and above) — total schooling plus on-the-job experience.

What to study: Health Professions and Related Programs , Medical Residency/Fellowship Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Post-Doctoral Training 48.0%
Doctoral Degree 40.0%
First Professional Degree 8.0%
Bachelor's Degree 4.0%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Intellectual Curiosity 10.0
Cooperation 9.0
Achievement Orientation 8.0
Social Orientation 7.0
Self-Control 6.0
Stress Tolerance 5.0
Empathy 4.0

Interest areas

Health Care Service 6.7
Medical Science 4.3
Social Service 4.2
Teaching/Education 3.5
Life Science 3.4

Career interests (Holland / RIASEC)

Social 6.3
Investigative 4.6
Conventional 3.9
Realistic 3.5

Wages & employment

U.S. · annual wages (BLS OEWS)

341k2024349k2034 (proj.)+2.5% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $66,860
25th percentile $95,080
Median (50th) —
75th percentile —
90th percentile —
People employed 315,360

Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 29-1229), not for the specialty alone.

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Health Care and Social Assistance · Sector 258,240 $235,660
Educational Services · Sector 10,850 $72,170
Professional, Scientific, and Technical Services · Sector 2,280 $221,680
Administrative and Support and Waste Management and Remediation Services · Sector 1,670 —
Management of Companies and Enterprises · Sector 1,330 —
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 920 —
Finance and Insurance · Sector 770 $227,720
Direct Health and Medical Insurance Carriers · National industry 510 $227,720
Outpatient Mental Health and Substance Abuse Centers · National industry 480 —
Temporary Help Services · National industry 300 —
Manufacturing · Sector 220 $88,370
Residential Mental Health and Substance Abuse Facilities · National industry 220 —

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Health Care and Social Assistance · Sector 5.46× 258,240
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 0.94× 920
Outpatient Mental Health and Substance Abuse Centers · National industry 0.76× 480
Direct Health and Medical Insurance Carriers · National industry 0.56× 510
Offices of Chiropractors · National industry 0.47× 140
Residential Mental Health and Substance Abuse Facilities · National industry 0.42× 220
Educational Services · Sector 0.39× 10,850
Management of Companies and Enterprises · Sector 0.23× 1,330

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical) for 9 occupations adjacent to Hospitalists. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Physician Assistants Acute Care Nurses Family Medicine Physicians AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Hospitalists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Adjacent roles

Occupations O*NET rates as related — the nearby moves on the map.

Paths in

How people typically prepare for this work.

Zoom out

See where this work sits in the bigger picture.

Write a report on thisheadline · factoids · citation

Hospitalists show 58th-percentile AI task overlap — and about 9,600 annual U.S. openings

  • Hospitalists rank in the 58th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 9,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+2.5%) from 2024 to 2034.BLS Employment Projections 2024–34
Copy the whole kit
Hospitalists show 58th-percentile AI task overlap — and about 9,600 annual U.S. openings

• Hospitalists rank in the 58th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 9,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+2.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)

Source: Singulariki — "Hospitalists". https://singulariki.com/roles/role-29-1229-02
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Hospitalists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-29-1229-02

APA

Singulariki. (2026). Hospitalists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-1229-02

BibTeX 
@misc{singulariki-role-29-1229-02,
  title  = {Hospitalists},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-29-1229-02}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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