EXPOSURE TO AI
47%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
7%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
47% 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
- Develop active control algorithms, electronics, software, electromechanical, or electrohydraulic systems for wind turbines
- Write reports to document wind farm collector system test results
- Create or maintain wind farm layouts, schematics, or other visual documentation for wind farms
- Recommend process or infrastructure changes to improve wind turbine performance, reduce operational costs, or comply with regulations
- Create models to optimize the layout of wind farm access roads, crane pads, crane paths, collection systems, substations, switchyards, or transmission lines
WHAT IT STILL CAN’T
- Test wind turbine components, using mechanical or electronic testing equipment
- Test wind turbine equipment to determine effects of stress or fatigue
- Direct balance of plant (BOP) construction, generator installation, testing, commissioning, or supervisory control and data acquisition (SCADA) to ensure compliance with specifications
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 47% 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