EXPOSURE TO AI
46%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
27%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The boring parts are leaving. The judgment stays.
46% 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 proposals, quotes, contracts, or presentations for potential solar customers
- Select solar energy products, systems, or services for customers based on electrical energy requirements, site conditions, price, or other factors
- Provide customers with information, such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates
- Provide technical information about solar power, solar systems, equipment, and services to potential customers or dealers
- Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation
WHAT IT STILL CAN’T
- Demonstrate use of solar and related equipment to customers or dealers
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 46% 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