# Will AI replace pathologists? Updated October 2026 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 | ## How pathologists compare All occupations (923) Healthcare practitioners and technical (89) **Pathologists score 41**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 34 for healthcare practitioners and technical. ## 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. - [Pediatric surgeons29 out of 100](https://www.aigentcy.com/ai-exposure/pediatric-surgeons/) - [Cardiologists36 out of 100](https://www.aigentcy.com/ai-exposure/cardiologists/) - [Medical laboratory technologists35 out of 100](https://www.aigentcy.com/ai-exposure/medical-laboratory-technologists/) - [Orthopedic surgeons29 out of 100](https://www.aigentcy.com/ai-exposure/orthopedic-surgeons/) - [Cytotechnologists33 out of 100](https://www.aigentcy.com/ai-exposure/cytotechnologists/) ## 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. ## Related jobs - [Radiologists46 out of 100](https://www.aigentcy.com/ai-exposure/radiologists/) - [Allergists41 out of 100](https://www.aigentcy.com/ai-exposure/allergists/) - [Medical scientists46 out of 100](https://www.aigentcy.com/ai-exposure/medical-scientists/) - [General internal medicine physicians44 out of 100](https://www.aigentcy.com/ai-exposure/general-internal-medicine-physicians/) ## Next steps for pathologists - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.