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Healthcare

Medical Laboratory Technician

Based on 36 assessments

25% Moderate risk

Average realistic automation risk across all Medical Laboratory Technician profiles in the dataset.

Raw potential
33%
Realistic risk
25%
Research benchmark ?
4%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 36 profiles. Middle half of Medical Laboratory Technicians score between 20% and 29%.

0% 50% 100%
p10 · 18%
36% · p90
On-screen work 14%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 29%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 57%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Medical Laboratory Technician, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Preparing and analyzing blood, urine, or tissue samples using automated laboratory equipment to detect diseases or abnormalities
36% AD 26%
Operating and maintaining laboratory instruments such as microscopes, centrifuges, and automated analyzers to ensure accurate results
deep expertise social element
21% AA 5%
Manually preparing slides for microscopic examination, including staining and labeling samples
deep expertise
15% AA 10%
Following strict protocols and quality control procedures to ensure samples are handled correctly and results are reliable
11% AA 2%
Troubleshooting equipment malfunctions or unexpected test results, often requiring consultation with supervisors or manufacturers
deep expertise social element
5% AA 4%
Training new lab staff or students on proper laboratory techniques and safety procedures
deep expertise social element
4% AA 3%
Recording and documenting test results in digital laboratory information systems (LIS) for physician review
3% DD 96%
Communicating with nurses, doctors, or other healthcare staff to clarify test orders or discuss unusual findings
deep expertise
2% AA 0%

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