EXPOSURE TO AI
45%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
1%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
45% 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
- Prepare or present public reports on topics such as bid proposals, deeds, environmental impact statements, or property and right-of-way descriptions
- Direct engineering activities, ensuring compliance with environmental, safety, or other governmental regulations
- Plan and design transportation or hydraulic systems or structures, using computer-assisted design or drawing tools
- Analyze survey reports, maps, drawings, blueprints, aerial photography, or other topographical or geologic data
- Estimate quantities and cost of materials, equipment, or labor to determine project feasibility
WHAT IT STILL CAN’T
- Manage and direct the construction, operations, or maintenance activities at project site
- Inspect project sites to monitor progress and ensure conformance to design specifications and safety or sanitation standards
- Test soils or materials to determine the adequacy and strength of foundations, concrete, asphalt, or steel
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 45% 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