AI exposure: Medical and Clinical Laboratory Technologists
Perform complex medical laboratory tests for diagnosis, treatment, and prevention of disease. May train or supervise staff.
Reading this score
computedAt 18.4% of weighted task load, Medical and Clinical Laboratory Technologists sits at the 32th percentile, below the point where a job's centre of gravity has moved. 58.1% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is verification cost. Across this occupation's 15 tasks it averages 2.54 out of 3, the highest of the five friction dimensions. In plain terms, checking the output costs more than producing it. Where an undetected error is expensive, dangerous or irreversible, the economics change. Someone has to verify the work, and verifying can cost as much as doing it. This is the friction most likely to fall as tools for checking improve.
The most exposed thing this job does is Enter data from analysis of medical tests or clinical results into computer for storage, at 50.0%. The least is Harvest cell cultures at optimum time, based on knowledge of cell cycle differences and culture..., at 0.0%. A gap of 50.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within healthcare practitioner and technical occupations, this one is less exposed than the median of 18.5% across the group's 89 roles, with 45 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 15 tasks, 3 are currently banded exposed, 4 assisted and 8 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.56 | 0-4 |
| Embodiment | 1.97 | 0-3 |
| Presence | 1.20 | 0-3 |
| Accountability | 2.37 | 0-3 |
| Context | 1.31 | 0-3 |
| Verification cost | 2.54 | 0-3 |
Task by task
15 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Enter data from analysis of medical tests or clinical results into computer for storage. | 50.0% | 25.0% | 25.0% | 4.77 | exposed |
| Analyze laboratory findings to check the accuracy of the results. | 45.0% | 30.0% | 25.0% | 4.82 | exposed |
| Establish or monitor quality assurance programs or activities to ensure the accuracy of laboratory results. | 40.0% | 35.0% | 25.0% | 4.72 | exposed |
| Provide technical information about test results to physicians, family members, or researchers. | 27.5% | 47.5% | 25.0% | 4.34 | assisted |
| Develop, standardize, evaluate, or modify procedures, techniques, or tests used in the analysis of specimens or in medical laboratory experiments. | 23.3% | 26.7% | 50.0% | 4.29 | assisted |
| Analyze samples of biological material for chemical content or reaction. | 13.3% | 36.7% | 50.0% | 4.83 | assisted |
| Conduct chemical analysis of body fluids, including blood, urine, or spinal fluid, to determine presence of normal or abnormal components. | 13.3% | 36.7% | 50.0% | 4.82 | assisted |
| Cultivate, isolate, or assist in identifying microbial organisms or perform various tests on these microorganisms. | 11.1% | 22.2% | 66.7% | 4.46 | untouched |
| Select and prepare specimens and media for cell cultures, using aseptic technique and knowledge of medium components and cell requirements. | 10.0% | 15.0% | 75.0% | 4.63 | untouched |
| 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. | 6.7% | 18.3% | 75.0% | 4.74 | untouched |
| Supervise, train, or direct lab assistants, medical and clinical laboratory technicians or technologists, or other medical laboratory workers engaged in laboratory testing. | 5.0% | 20.0% | 75.0% | 4.65 | untouched |
| Obtain, cut, stain, and mount biological material on slides for microscopic study and diagnosis, following standard laboratory procedures. | 4.2% | 8.3% | 87.5% | 4.54 | untouched |
| Operate, calibrate, or maintain equipment used in quantitative or qualitative analysis, such as spectrophotometers, calorimeters, flame photometers, or computer-controlled analyzers. | 3.3% | 9.2% | 87.5% | 4.73 | untouched |
| Set up, clean, and maintain laboratory equipment. | 0.0% | 0.0% | 100.0% | 4.74 | untouched |
| Harvest cell cultures at optimum time, based on knowledge of cell cycle differences and culture conditions. | 0.0% | 0.0% | 100.0% | 3.99 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.