EXPOSURE TO AI
43%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
0%
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.
43% 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
- Design agricultural machinery components and equipment, using computer-aided design (CAD) technology
- Prepare reports, sketches, working drawings, specifications, proposals, and budgets for proposed sites or systems
- Discuss plans with clients, contractors, consultants, and other engineers so that they can be evaluated and necessary changes made
- Provide advice on water quality and issues related to pollution management, river control, and ground and surface water resources
- Plan and direct construction of rural electric-power distribution systems, and irrigation, drainage, and flood control systems for soil and water conservation
WHAT IT STILL CAN’T
- Test agricultural machinery and equipment to ensure adequate performance
- Meet with clients, such as district or regional councils, farmers, and developers, to discuss their needs
- Visit sites to observe environmental problems, to consult with contractors, or to monitor construction activities
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 43% 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