Will AI replace pathologists?
Updated
Pathologists score 41 of 100 for AI exposure. The largest share of their task time, 71%, is work AI speeds up while they stay in charge. AI can take over 7% outright, and 22% stays with people.
- 7% AI can do it
- 71% AI helps
- 22% Needs a person
Moderate exposure
Higher than 55% of the 923 occupations we scored.
Task by task
We graded 19 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 13 and leaves 5 to people.
| Task | AI exposure |
|---|---|
| Write pathology reports summarizing analyses, results, and conclusions. AI can draft reports from structured findings; pathologist reviews and signs. | 62% AI can do it |
| Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in pathology. AI summarizes literature quickly; reading and networking remain human. | 50% AI helps |
| Analyze and interpret results from tests, such as microbial or parasite tests, urine analyses, hormonal assays, fine needle aspirations (FNAs), and polymerase chain reactions (PCRs). AI can flag and interpret assay results; physician validates findings. | 45% AI helps |
| Conduct research and present scientific findings. AI helps with literature review, analysis and drafting; researcher leads. | 45% AI helps |
| Examine microscopic samples to identify diseases or other abnormalities. AI image tools can pre-screen slides; pathologist still reads and decides. | 40% AI helps |
| Identify the etiology, pathogenesis, morphological change, and clinical significance of diseases. Literature and knowledge synthesis help, but clinical interpretation stays human. | 40% AI helps |
| Review cases by analyzing autopsies, laboratory findings, or case investigation reports. AI can summarize case files and lab data; physician makes the review. | 40% AI helps |
| Diagnose diseases or study medical conditions, using techniques such as gross pathology, histology, cytology, cytopathology, clinical chemistry, immunology, flow cytometry, or molecular biology. AI supports diagnosis across many methods; physician leads and signs off. | 35% AI helps |
| Conduct genetic analyses of deoxyribonucleic acid (DNA) or chromosomes to diagnose small biopsies and cell samples. Bioinformatics pipelines automate analysis; wet lab and interpretation stay human. | 35% AI helps |
| Consult with physicians about ordering and interpreting tests or providing treatments. AI can suggest test choices; consultations stay interpersonal and human-led. | 30% AI helps |
Show the other 9 tasks
| Task | AI exposure |
|---|---|
| Educate physicians, students, and other personnel in medical laboratory professions, such as medical technology, cytotechnology, or histotechnology. AI can draft teaching materials; hands-on and live teaching stay human. | 30% AI helps |
| Diagnose infections, such as Hepatitis B and Acquired Immune Deficiency Syndrome (AIDS), by conducting tests to detect the antibodies that patients' immune systems make to fight such infections. Lab serology is mostly automated; AI helps interpret results. | 28% AI helps |
| Manage medical laboratories. AI helps with reporting and admin; staffing and oversight stay human. | 25% AI helps |
| Develop or adopt new tests or instruments to improve diagnosis of diseases. Literature and design support help; bench development is hands-on work. | 25% AI helps |
| Communicate pathologic findings to surgeons or other physicians. Live verbal communication with surgeons needs human judgment and presence. | 18% Needs a person |
| Plan and supervise the work of the pathology staff, residents, or visiting pathologists. Supervising and managing staff requires interpersonal judgment and accountability. | 15% Needs a person |
| Testify in depositions or trials as an expert witness. Expert testimony requires personal legal accountability and live cross-examination. | 10% Needs a person |
| Obtain specimens by performing procedures, such as biopsies or fine needle aspirations (FNAs) of superficial nodules. Biopsies and FNAs are physical procedures on patients. | 5% Needs a person |
| Perform autopsies to determine causes of deaths. Autopsy is hands-on physical dissection requiring in-person presence. | 4% Needs a person |
How pathologists compare
All occupations (923)
Healthcare practitioners and technical (89)
Pay and outlook in the US
- Median pay
- $312,400 a year, May 2025
- People employed
- 11,110 in the US, May 2025
- Projected change in jobs
- +4.8% from 2024 to 2034
Skills to build
- Review AI-drafted pathology reports before sign-off in LIS
- Validate assay flags from Sunquest Laboratory before release
- Perform autopsies and biopsies that need hands-on dissection
- Testify as an expert witness in depositions and trials
- Supervise residents and staff through lab quality review in Aspyra CyberLAB
- Present research findings in PowerPoint to clinical audiences
Safer roles nearby
5 related occupations with lower scores.
Questions about pathologists and AI
Will pathologists be replaced by AI?
Partly. About 3 in 10 working hours go to tasks AI can already do, mostly drafting pathology reports and interpreting test results. Final sign-off, specimen examination and diagnosis stay with people.
Which pathology tasks is AI taking over?
Report writing is the most exposed task, with an exposure score of 62, because AI can draft reports from structured findings. Analyzing test results, scored 45, follows because AI can flag and interpret assay values. The pathologist still validates each finding before release.
Which pathology tasks stay human?
Autopsies score 4 on exposure, the lowest of any task, because dissection is hands-on physical work done in person. Biopsies, with a score of 5, and expert testimony, with a score of 10, also stay with people. Communicating findings to surgeons needs live judgment and presence.
How can pathologists stay valuable as AI spreads?
Keep the sign-off step in your hands by checking AI-drafted reports against slide review in your laboratory information system. Build supervision of residents and lab staff, and present findings at tumor boards and conferences. Learn to validate AI slide pre-screening tools in Sunquest and Aspyra CyberLAB.
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