Low AI Risk Average

Physicians, all other

SOC Code: 29-1229

Physicians, all other carries a 11% AI exposure score (Low automation risk) and +2.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 340,700 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
11% Low

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+2.5%
2024–2034 (BLS)
+8,600 jobs
Median Annual Wage
N/A
BLS May 2024
How wage figures are sourced →

AI Exposure vs Industry Growth

Workforce demand by occupation Sanctioned bespoke signature viz (@signature-viz, KIZ-799) showing occupation-level workforce demand from BLS OEWS data. Pure SVG, no external dependencies.Projected Growth 2024-2034 (BLS)Technology+12.8%Healthcare+10.2%Professional+7.8%Education+5.8%Construction+4.5%Finance+4.6%Logistics+3.2%Government+1.2%Manufacturing-2.1%Retail-3.4%
National AI Exposure
40%
Average across all occupations
Avg Wage Growth
+3.2%
Median annual wage change
High-Risk Roles
127
Occupations with >70% AI exposure

Total occupations tracked

832

Covering all SOC major groups

Data currency

2024

BLS Employment Projections

AI exposure avg

40%

Fleet-wide median across all roles

Methodology confidence 92.0%
Industry standard

Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.

Employment Projections

340,700
Employment 2024
349,300
Projected 2034
+2.5%
Change (%)
+8,600
Change (jobs)

Occupation Insight

Physicians, all other (SOC 29-1229) carries an AI exposure score of 11%, placing it in the Low automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 340,700 workers in this occupation in 2024, and projects a +2.5% change through 2034 — modest growth that keeps the occupation viable even as tasks evolve. Entry typically requires Doctoral or professional degree, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Physicians, all other. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
Doctoral or professional degree
Work Experience
None
On-the-Job Training
Internship/residency

Top Tasks (O*NET)

  1. 1. Diagnose, treat, or provide continuous care to hospital inpatients.
  2. 2. Prescribe medications or treatment regimens to hospital inpatients.
  3. 3. Diagnose or treat diseases or disorders of genitourinary organs and tracts including erectile dysfunction (ED), infertility, incontinence, bladder cancer, prostate cancer, urethral stones, or premature ejaculation.
  4. 4. Order or interpret the results of tests such as laboratory tests and radiographs (x-rays).
  5. 5. Admit patients for hospital stays.
  6. 6. Diagnose or treat allergic or immunologic conditions.
  7. 7. Conduct discharge planning and discharge patients.
  8. 8. Examine patients using equipment, such as radiograph (x-ray) machines or fluoroscopes, to determine the nature and extent of disorder or injury.
  9. 9. Educate patients about diagnoses, prognoses, or treatments.
  10. 10. Order or perform diagnostic tests such as skin pricks and intradermal, patch, or delayed hypersensitivity tests.

Key Skills Required

  • Reading Comprehension
  • Active Listening
  • Critical Thinking
  • Monitoring
  • Judgment and Decision Making
  • Speaking
  • Active Learning
  • Social Perceptiveness
  • Complex Problem Solving
  • Writing

Knowledge Areas

  • Medicine and Dentistry
  • Biology
  • English Language
  • Customer and Personal Service
  • Administration and Management
  • Education and Training
  • Psychology
  • Chemistry
  • Sales and Marketing
  • Personnel and Human Resources

Frequently Asked Questions

Will AI replace Physicians, all other?

Physicians, all other has an AI exposure score of 11%, indicating a low level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Physicians, all other?

According to BLS Employment Projections 2024-2034, Physicians, all other is projected to grow by 2.5% over the decade. Current employment stands at approximately 340,700 workers.

What skills are needed for Physicians, all other?

Key skills for Physicians, all other include Reading Comprehension, Active Listening, Critical Thinking, and others. Typical entry-level education is Doctoral or professional degree.

How much do Physicians, all other earn?

Wage data for Physicians, all other varies by region, experience, and employer. The Bureau of Labor Statistics publishes median wage estimates in its Occupational Employment and Wage Statistics program.

What education is required for Physicians, all other?

The typical entry-level education for Physicians, all other is Doctoral or professional degree. Employers generally expect None of related work experience. On-the-job training typically involves Internship/residency. Requirements can vary by employer and specialization.

Which companies employ Physicians, all other?

Physicians, all other roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

0.6
out of 5.0

Low automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Related

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial