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Healthcare · Updated Aug 2026

Medical and Clinical Laboratory Technologists

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

JVS 2.0.0-phase4b
AI Exposure
60/100
High

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

Replacement Risk
50/100
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 coverage86%

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
Analyze laboratory findings to check the accuracy of the results.High
69
Enter data from analysis of medical tests or clinical results into computer for storage.High
68
Conduct chemical analysis of body fluids, including blood, urine, or spinal fluid, to determine presence of normal or abnormal components.High
67
Analyze samples of biological material for chemical content or reaction.High
51
Operate, calibrate, or maintain equipment used in quantitative or qualitative analysis, such as spectrophotometers, calorimeters, flame photometers, or computer-controlled analyzers.High
64
Select and prepare specimens and media for cell cultures, using aseptic technique and knowledge of medium components and cell requirements.High
69
Supervise, train, or direct lab assistants, medical and clinical laboratory technicians or technologists, or other medical laboratory workers engaged in laboratory testing.High
68
Cultivate, isolate, or assist in identifying microbial organisms or perform various tests on these microorganisms.High
69
Collect and study blood samples to determine the number of cells, their morphology, or their blood group, blood type, or compatibility for transfusion purposes, using microscopic techniques.High
49
Provide technical information about test results to physicians, family members, or researchers.High
67
Establish or monitor quality assurance programs or activities to ensure the accuracy of laboratory results.High
36
Obtain, cut, stain, and mount biological material on slides for microscopic study and diagnosis, following standard laboratory procedures.High
36
Most exposed

Where AI can do more

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

  1. Analyze laboratory findings to check the accuracy of the results.69
  2. Select and prepare specimens and media for cell cultures, using aseptic technique and knowledge of medium components and cell requirements.69
  3. Cultivate, isolate, or assist in identifying microbial organisms or perform various tests on these microorganisms.69
  4. Enter data from analysis of medical tests or clinical results into computer for storage.68
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. Establish or monitor quality assurance programs or activities to ensure the accuracy of laboratory results.01
  2. Obtain, cut, stain, and mount biological material on slides for microscopic study and diagnosis, following standard laboratory procedures.02
  3. Analyze laboratory findings to check the accuracy of the results.03
  4. Conduct chemical analysis of body fluids, including blood, urine, or spinal fluid, to determine presence of normal or abnormal components.04
  5. Analyze samples of biological material for chemical content or reaction.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 dependency76
Physical dependency52
Adoption pressure75
Labour-market resilience65
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 →