54
/100

SOC 29-1222

Physicians, Pathologists

ElevatedFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

54/100

Elevated

US Employment

๐Ÿ‘ฅ

11,800

Total workers

Median Wage

๐Ÿ’ฐ

$239K

$84K โ€“ $0

Projected Growth

๐Ÿ“ˆ

+4.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

86/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Physicians, Pathologists face a risk score of 54/100 โ€” 10 points above the national average of 44. With 86/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $239K ($193K above the national median). The 3 recommended career transitions offer lower AI risk while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 54/100, Physicians, Pathologists faces moderate automation pressure. While tasks like ai-generated written content replacing manual drafting are increasingly handled by AI, the role retains significant human elements. The 11,800 workers in this occupation should focus on strengthening skills in ethical decision-making in end-of-life situations and hands-on physical examination and procedures to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Physicians, Pathologists?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI-generated written content replacing manual drafting

2

Generative AI producing marketing and creative copy

3

Natural language processing for clinical documentation

4

Administrative automation of medical billing and coding

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Ethical decision-making in end-of-life situations

โœ“

Hands-on physical examination and procedures

โœ“

Complex clinical judgment in ambiguous presentations

โœ“

Emergency triage requiring rapid human judgment

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Examine microscopic samples to identify diseases or other abnormalities.

โ€ข

Diagnose diseases or study medical conditions, using techniques such as gross pathology, histology, cytology, cytopathology, clinical chemistry, immunology, flow cytometry, or molecular biology.

โ€ข

Write pathology reports summarizing analyses, results, and conclusions.

โ€ข

Communicate pathologic findings to surgeons or other physicians.

โ€ข

Identify the etiology, pathogenesis, morphological change, and clinical significance of diseases.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Medical software

โ€ข

Information retrieval or search software

โ€ข

Data base management system software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Medicine and Dentistry

โ€ข

Biology

โ€ข

English Language

โ€ข

Education and Training

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$239K
+$193K

National avg: $46K

Risk Score54/100
+10

National avg: 44/100

GenAI Exposure86/100
+48

National avg: 38/100

Projected Growth4.2%
+0.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K82%
Dentists, General24$173K75%
Prosthodontists34$070%