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Medical and Clinical Laboratory Technologists

Occupation · SOC 29-2011.00

Perform complex medical laboratory tests for diagnosis, treatment, and prevention of disease. May train or supervise staff.

Also called: Clinical Laboratory Scientist (CLS) · Clinical Laboratory Technologist · Medical Lab Technologist (Medical Laboratory Technologist) · Medical Technologist (MT) · Clinical Chemist · Histologist Technologist · Lab Tech (Laboratory Technologist) · MLS (Medical Laboratory Scientist) · Microbiology Technologist (MT) · Technologist · Biochemistry Technologist · Blood Bank Laboratory Technologist

Job family: Healthcare Practitioners and Technical Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-29-2011-00/context.md directly.

AI work map

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.

Use as a copilot

Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.

  • Provide technical information about test results to physicians, family members, or researchers. · 0.6%
See collaboration patterns →

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Provide technical information about test results to physicians, family members, or researchers. · 95.3% need a human
  • Develop, standardize, evaluate, or modify procedures, techniques, or tests used in the analysis of specimens or in medical laboratory experiments. · 73.5% need a human
See the boundary tasks →

46th-percentile task overlap — yet observed AI use leans 4286% copilot, not hand-off (AEI) . What exposure means →

AI & job outlook

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.

Exposure to current AI

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 56th 0.3
LLM task exposure, γ (OpenAI / Eloundou) Moderate 38th 0.4

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.2), and including AI-powered software (γ 0.4). 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.

Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.

Historical automation estimate (2013)

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 0.9 · 78th percentile among occupations · High

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Develop, standardize, evaluate, or modify procedures, techniques, or tests used in the analysis of specimens or in medical laboratory experiments. 2.0%
Analyze laboratory findings to check the accuracy of the results. 1.8%
Provide technical information about test results to physicians, family members, or researchers. 1.7%
Analyze samples of biological material for chemical content or reaction. 0.3%

Where this work sits on the global GenAI gradient

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.

31% mean task exposure (2025)
58th percentile of 427 placed occupations
+1 pts shift 2023 → 2025
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.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Augmentation vs. automation 42.9% working with AI · — handed to AI
Most common way people use AI here Learning · you ask AI to explain or teach
Typical AI autonomy 3.5 / 5 · higher = AI acts more independently
Used for work (vs. personal / coursework) 38.8%

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
Provide technical information about test results to physicians, family members, or researchers. Learning 0.6%
Develop, standardize, evaluate, or modify procedures, techniques, or tests used in the analysis of specimens or in medical laboratory experiments. 0.3%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Provide technical information about test results to physicians, family members, or researchers. 95.3%
Develop, standardize, evaluate, or modify procedures, techniques, or tests used in the analysis of specimens or in medical laboratory experiments. 73.5%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me provide technical information about test results to physicians, family members, or researchers.

    From: Provide technical information about test results to physicians, family members, or researchers. · 0.6% of measured AI use · learning

  • Help me develop, standardize, evaluate, or modify procedures, techniques, or tests used in the analysis of specimens or in medical laboratory experiments.

    From: Develop, standardize, evaluate, or modify procedures, techniques, or tests used in the analysis of specimens or in medical laboratory experiments. · 0.3% of measured AI use

Tasks

All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Conduct blood typing and antibody screening.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Abilities

Inductive Reasoning 4.3
Near Vision 4.3
Written Comprehension 4.1
Problem Sensitivity 4.1
Information Ordering 4.1
Oral Comprehension 4.0
Deductive Reasoning 4.0
Category Flexibility 3.9
Oral Expression 3.6
Arm-Hand Steadiness 3.5
Flexibility of Closure 3.4
Selective Attention 3.4
Finger Dexterity 3.4
Control Precision 3.4
Visual Color Discrimination 3.4
Speech Recognition 3.4
Written Expression 3.3
Manual Dexterity 3.3

Knowledge

Chemistry 4.2
Customer and Personal Service 4.2
Computers and Electronics 4.1
English Language 4.0
Biology 3.9
Mathematics 3.9
Administrative 3.9
Medicine and Dentistry 3.8
Education and Training 3.8
Mechanical 3.6

Essential skills

Science 4.0
Critical Thinking 4.0
Active Listening 3.9
Reading Comprehension 3.8
Monitoring 3.5
Active Learning 3.4
Writing 3.1

Transferable skills

Quality Control Analysis 3.8
Operations Monitoring 3.6
Complex Problem Solving 3.4
Operation and Control 3.4
Time Management 3.4

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
eClinicalWorks EHR software Medical software Hot technology
MEDITECH software Medical software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Project Project management software Hot technology
Microsoft Word Word processing software Hot technology
Commercial plate reader software Medical software
Database software Data base user interface and query software
Electronic medical record EMR software Medical software
Email software Electronic mail software
FileMaker Pro Data base user interface and query software
Hematology laboratory workflow management software Medical software
Laboratory information system LIS Medical software
Medical digital imaging software Medical software
Medical procedure coding software Medical software
Medical system integration software Medical software
Microscopic image capturing software Medical software
Quality control software Medical software
Reimbursement screening software Medical software
Specimen tracking software Medical software
Test result delivery software Medical software
Test routing software Medical software

Work context

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.

Telephone Conversations 5.0
Importance of Being Exact or Accurate 5.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.9
E-Mail 4.9
Indoors, Environmentally Controlled 4.8
Exposed to Disease or Infections 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.6
Contact With Others 4.6
Work With or Contribute to a Work Group or Team 4.5
Frequency of Decision Making 4.4
Importance of Repeating Same Tasks 4.4
Time Pressure 4.4
Freedom to Make Decisions 4.3
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.2
Impact of Decisions on Co-workers or Company Results 4.1
Determine Tasks, Priorities and Goals 4.0
Consequence of Error 4.0
Physical Proximity 3.6
Coordinate or Lead Others in Accomplishing Work Activities 3.6
Deal With External Customers or the Public in General 3.6
Health and Safety of Other Workers 3.6
Work Outcomes and Results of Other Workers 3.5
Spend Time Making Repetitive Motions 3.4
Exposed to Contaminants 3.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.4
Degree of Automation 3.3
Exposed to Hazardous Conditions 3.2
Dealing With Unpleasant, Angry, or Discourteous People 3.1
Spend Time Standing 3.1
Pace Determined by Speed of Equipment 3.0
Spend Time Sitting 3.0
Conflict Situations 3.0
Spend Time Walking or Running 2.8
Written Letters and Memos 2.8
Level of Competition 2.6
Spend Time Bending or Twisting Your Body 2.4
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.4
Exposed to Cramped Work Space, Awkward Positions 2.0
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.6
Wear Specialized Protective or Safety Equipment such as Breathing Apparatus, Safety Harness, Full Protection Suits, or Radiation Protection 1.6

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Biological and Biomedical Sciences , Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 52.1%
Post-Baccalaureate Certificate 13.9%
Some College Courses 1.5%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Investigative 6.2
Realistic 5.8
Conventional 5.0
Social 2.8

Work styles

Dependability 6.0
Attention to Detail 5.0
Integrity 4.0
Cautiousness 3.0

Interest areas

Life Science 5.8
Medical Science 5.6
Health Care Service 5.4
Physical Science 4.3
Mathematics/Statistics 3.3
Mechanics/Electronics 3.1
Engineering 2.5
Information Technology 2.4
Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical) for 6 occupations adjacent to Medical and Clinical Laboratory Technologists. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Phlebotomists Neurodiagnostic Technologists Nuclear Medicine Technologists Cardiovascular Technologists and Technicians Biological Technicians Microbiologists AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Medical and Clinical Laboratory Technologists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 58th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Medical and Clinical Laboratory Technologists sit at the 46th percentile of AI task overlap among U.S. occupations

  • Medical and Clinical Laboratory Technologists rank in the 46th 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
  • Of the AI use actually observed for this work, 43% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Medical and Clinical Laboratory Technologists sit at the 46th percentile of AI task overlap among U.S. occupations

• Medical and Clinical Laboratory Technologists rank in the 46th 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)
• Of the AI use actually observed for this work, 43% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2)

Source: Singulariki — "Medical and Clinical Laboratory Technologists". https://singulariki.com/roles/role-29-2011-00
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.

Sources for this page

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.

Cite this page
Plain

Singulariki. "Medical and Clinical Laboratory Technologists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “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-29-2011-00

APA

Singulariki. (2026). Medical and Clinical Laboratory Technologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-2011-00

BibTeX
@misc{singulariki-role-29-2011-00,
  title  = {Medical and Clinical Laboratory Technologists},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “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-29-2011-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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