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EXPOSURE TO AI
38%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
26%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.

38% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.

WHAT AI CAN ALREADY DO
  • Write technical papers or reports or prepare standards and specifications for processes, facilities, products, or tests
  • Analyze organic or inorganic compounds to determine chemical or physical properties, composition, structure, relationships, or reactions, using chromatography, spectroscopy, or spectrophotometry techniques
  • Compile and analyze test information to determine process or equipment operating efficiency or to diagnose malfunctions
  • Confer with scientists or engineers to conduct analyses of research projects, interpret test results, or develop nonstandard tests
  • Develop, improve, or customize products, equipment, formulas, processes, or analytical methods
WHAT IT STILL CAN’T
  • Conduct quality control tests
  • Maintain laboratory instruments to ensure proper working order and troubleshoot malfunctions when needed
  • Prepare test solutions, compounds, or reagents for laboratory personnel to conduct tests
  • Induce changes in composition of substances by introducing heat, light, energy, or chemical catalysts for quantitative or qualitative analysis
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.
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