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Healthcare · Updated Aug 2026

Medical and Clinical Laboratory Technicians

Perform routine medical laboratory tests for the diagnosis, treatment, and prevention of disease. May work under the supervision of a medical technologist.

JVS 2.0.0-phase4b
AI Exposure
59/100
Moderate

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
52/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence83/100
Task coverage87%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Conduct blood tests for transfusion purposes and perform blood counts.High
71
Analyze the results of tests or experiments to ensure conformity to specifications, using special mechanical or electrical devices.High
70
Obtain specimens, cultivating, isolating, and identifying microorganisms for analysis.High
71
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.High
54
Test raw materials, processes, or finished products to determine quality or quantity of materials or characteristics of a substance.High
69
Analyze and record test data to issue reports that use charts, graphs, or narratives.High
70
Supervise or instruct other technicians or laboratory assistants.High
69
Collect blood or tissue samples from patients, observing principles of asepsis to obtain blood sample.High
52
Consult with a pathologist to determine a final diagnosis when abnormal cells are found.High
68
Prepare standard volumetric solutions or reagents to be combined with samples, following standardized formulas or experimental procedures.High
31
Set up, maintain, calibrate, clean, and test sterility of medical laboratory equipment.High
24
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Conduct blood tests for transfusion purposes and perform blood counts.71
  2. Obtain specimens, cultivating, isolating, and identifying microorganisms for analysis.71
  3. Analyze the results of tests or experiments to ensure conformity to specifications, using special mechanical or electrical devices.70
  4. Analyze and record test data to issue reports that use charts, graphs, or narratives.70
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Set up, maintain, calibrate, clean, and test sterility of medical laboratory equipment.01
  2. Prepare standard volumetric solutions or reagents to be combined with samples, following standardized formulas or experimental procedures.02
  3. Conduct blood tests for transfusion purposes and perform blood counts.03
  4. Analyze the results of tests or experiments to ensure conformity to specifications, using special mechanical or electrical devices.04
  5. Obtain specimens, cultivating, isolating, and identifying microorganisms for analysis.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency70
Physical dependency45
Adoption pressure72
Labour-market resilience62
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence83/100
CalculatedAug 21, 2026
Read methodology →