OBSERVED IN REAL USE · Anthropic 2026
10%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.
52% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Complete documentation needed to support testing procedures, including data capture forms, equipment logbooks, or inventory forms
- Write technical reports or documentation, such as deviation reports, testing protocols, and trend analyses
- Write or revise standard quality control operating procedures
- Perform validations or transfers of analytical methods in accordance with applicable policies or guidelines
- Prepare or review required method transfer documentation including technical transfer protocols or reports
WHAT IT STILL CAN’T
- Calibrate, validate, or maintain laboratory equipment
- Ensure that lab cleanliness and safety standards are maintained
- Receive and inspect raw materials
- Train other analysts to perform laboratory procedures and assays
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 52% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16