Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 29-2012.01
Prepare histological slides from tissue sections for microscopic examination and diagnosis by pathologists. May assist with research studies.
Also called: Histologic Technician (HT) · Histologist · Histology Technician (HT) · Histotechnician · Clinical Histology Technician (Clinical Histology Tech) · Histology Consultant · Histology Coordinator · Certified Histologic Technician (Certified Histologic Tech) · Histologic Aide · Histology Assistant · Histology Lab Assistant (Histology Laboratory Assistant) · Histology Laboratory Aide
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-2012-01/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
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.
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 |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 45th | -0.1 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 29th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.1), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.5 · 46th percentile among occupations · Moderate
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Medical and Pathology Laboratory Technicians · 3212 | 31% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
All 8 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Near Vision | 4.0 | |
| Finger Dexterity | 3.8 | |
| Oral Comprehension | 3.6 | |
| Deductive Reasoning | 3.5 | |
| Arm-Hand Steadiness | 3.5 | |
| Written Comprehension | 3.4 | |
| Problem Sensitivity | 3.4 | |
| Information Ordering | 3.4 | |
| Category Flexibility | 3.3 | |
| Manual Dexterity | 3.3 | |
| Oral Expression | 3.1 | |
| Written Expression | 3.1 | |
| Inductive Reasoning | 3.1 | |
| Control Precision | 3.1 | |
| Speech Recognition | 3.1 | |
| Speech Clarity | 3.1 | |
| Selective Attention | 3.0 | |
| Perceptual Speed | 2.9 | |
| Reaction Time | 2.9 | |
| Far Vision | 2.9 | |
| Visual Color Discrimination | 2.9 |
| Chemistry | 3.8 | |
| Biology | 3.8 | |
| English Language | 3.3 | |
| Administrative | 3.0 | |
| Administration and Management | 2.8 |
| Active Listening | 3.5 | |
| Critical Thinking | 3.5 | |
| Reading Comprehension | 3.4 | |
| Monitoring | 3.3 | |
| Speaking | 3.1 | |
| Science | 3.1 | |
| Writing | 3.0 | |
| Active Learning | 2.9 |
| Complex Problem Solving | 3.3 | |
| Judgment and Decision Making | 3.1 | |
| Coordination | 3.0 | |
| Time Management | 3.0 | |
| Social Perceptiveness | 2.9 | |
| Operations Monitoring | 2.9 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| Example | Category | |
|---|---|---|
| MEDITECH software | Medical software | Hot technology |
| Microsoft Access | Data base user interface and query software | Hot technology |
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft Outlook | Electronic mail software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Brady Specimen Labeling System | Label making software | |
| Cerner Millennium | Medical software | |
| Laboratory information system LIS | Medical software | |
| Specimen labeling system software | Label making software |
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.
What to study: Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Associate's Degree (or other 2-year degree) | 48.0% | |
| Post-Secondary Certificate | 16.0% | |
| High School Diploma | 12.0% | |
| Some College Courses | 12.0% | |
| Bachelor's Degree | 4.0% | |
| First Professional Degree | 4.0% | |
| Doctoral Degree | 4.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 6.3 | |
| Investigative | 5.4 | |
| Conventional | 5.0 | |
| Social | 2.1 |
| Life Science | 5.4 | |
| Medical Science | 5.0 | |
| Health Care Service | 4.4 | |
| Physical Science | 3.0 | |
| Mechanics/Electronics | 2.6 | |
| Physical/Manual Labor | 2.1 | |
| Engineering | 1.9 | |
| Information Technology | 1.6 |
| Attention to Detail | 3.0 | |
| Dependability | 3.0 | |
| Cautiousness | 2.1 | |
| Integrity | 1.8 |
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Histology Technicians — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 58th percentile of 427 international occupations.
Histology Technicians sit at the 35th percentile of AI task overlap among U.S. occupations
Histology Technicians sit at the 35th percentile of AI task overlap among U.S. occupations • Histology Technicians rank in the 35th 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) Source: Singulariki — "Histology Technicians". https://singulariki.com/roles/role-29-2012-01 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.
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.
Singulariki. "Histology Technicians." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-2012-01
Singulariki. (2026). Histology Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2012-01
@misc{singulariki-role-29-2012-01,
title = {Histology Technicians},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-2012-01}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.