OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Well done. And by that we mean: cooked.
70% 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. Deeply cooked. Almost the entire task list is something a model can already attempt.
WHAT AI CAN ALREADY DO
- Develop validation master plans, process flow diagrams, test cases, or standard operating procedures
- Prepare detailed reports or design statements, based on results of validation and qualification tests or reviews of procedures and protocols
- Communicate with regulatory agencies regarding compliance documentation or validation results
- Prepare, maintain, or review validation and compliance documentation, such as engineering change notices, schematics, or protocols
- Design validation study features, such as sampling, testing, or analytical methodologies
WHAT IT STILL CAN’T
- Maintain validation test equipment
- Draw samples of raw materials, intermediate products, or finished products for validation testing
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 70% 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