Operate laboratory
How operate laboratory are reshaped as AGI capability advances.
The bottom line
About 50% of the work in Operate laboratory is information-shaped and increasingly AI-deliverable, with the rest a hybrid of judgment and hands-on work. The automation frontier runs straight through the middle of this role.
Why: With no child occupations seeded, this score relies on the process name 'Operate laboratory' and its petroleum-downstream industry context. Operating a refinery lab blends the physical handling of chemical samples and testing apparatus with the digital recording, analysis, and telemetry of QA/QC results, landing squarely in the hybrid band at a center value of 0.50.
grounded in the economy graph · digital scalar 0.50 · hybrid
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Operate laboratory sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Operate laboratory inherits.
Where Operate laboratory sits
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How the work flows
Trigger: A sample from the refinery process or inbound shipments arrives at the laboratory with a testing request, or a scheduled quality control interval is reached.
- Receive, barcode, and log samples into the tracking system
- Prepare and condition samples for specific physical or chemical analysis
- Execute analytical testing using laboratory instruments
- Review raw data, run quality control checks, and validate test results
- Publish final results to the Laboratory Information Management System
- Safely dispose of retained samples according to environmental protocols
- Calibrate and maintain laboratory equipment
Outcome: Validated physical and chemical test results are logged in the system and communicated to operations to verify product specifications.