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Federal data × LLM scoring

AI Career Stats

Medical Assistants: daily tasks & AI impact

This page breaks Medical Assistants into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 29/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.

0 highly automatable 0 safer / physical Back to risk score Alternative careers

High-automation exposure

No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.

Durable human work

This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.

Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.

Task Importance AI probability Nature
Interview patients to obtain medical information and measure their vital signs, weight, and height. Core 4.76
Clean and sterilize instruments and dispose of contaminated supplies. Core 4.76
Record patients' medical history, vital statistics, or information such as test results in medical records. Core 4.73
Explain treatment procedures, medications, diets, or physicians' instructions to patients. Core 4.73
Prepare treatment rooms for patient examinations, keeping the rooms neat and clean. Core 4.68
Collect blood, tissue, or other laboratory specimens, log the specimens, and prepare them for testing. Core 4.67
Show patients to examination rooms and prepare them for the physician. Core 4.63
Help physicians examine and treat patients, handing them instruments or materials or performing such tasks as giving injections or removing sutures. Core 4.62
Perform routine laboratory tests and sample analyses. Core 4.6
Greet and log in patients arriving at office or clinic. Core 4.57
Perform general office duties, such as answering telephones, taking dictation, or completing insurance forms. Core 4.54
Prepare and administer medications as directed by a physician. Core 4.47
Authorize drug refills and provide prescription information to pharmacies. Core 4.44
Change dressings on wounds. Core 4.36
Schedule appointments for patients. Core 4.21

What remains human

No tasks currently fall under the safe threshold for this occupation.

FAQ

Which Medical Assistants tasks are most exposed to AI?

No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.

Which Medical Assistants tasks are safest from Generative AI?

This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.

How should I read the Medical Assistants task table?

Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.

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