As of June 2026, Medical and Clinical Laboratory Technicians has an AI-exposure score of 65/100 (High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.
Medical and Clinical Laboratory Technicians
More exposed than 81% of the roles we track.
How you compare to similar Healthcare roles
Your tasks, by AI exposure
- Conduct chemical analyses of body fluids, such as blood or urine, using microscope or automatic analyzer to detect abnormalities or diseases and enter findings into computer.
- Examine cells stained with dye to locate abnormalities.
- Analyze and record test data to issue reports that use charts, graphs, or narratives.
- Analyze the results of tests or experiments to ensure conformity to specifications, using special mechanical or electrical devices.
- Prepare standard volumetric solutions or reagents to be combined with samples, following standardized formulas or experimental procedures.
- Obtain specimens, cultivating, isolating, and identifying microorganisms for analysis.
- Set up, maintain, calibrate, clean, and test sterility of medical laboratory equipment.
- Test raw materials, processes, or finished products to determine quality or quantity of materials or characteristics of a substance.
- Conduct blood tests for transfusion purposes and perform blood counts.
- Collect blood or tissue samples from patients, observing principles of asepsis to obtain blood sample.
- Supervise or instruct other technicians or laboratory assistants.
- Consult with a pathologist to determine a final diagnosis when abnormal cells are found.
- Perform medical research to further control or cure disease.
No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (69%).
Safer adjacent roles
Your AI-Safe Career Report
Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.
AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026
Instant delivery — your personalized report is ready about a minute after checkout.