EXPOSURE TO AI
11%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The last desk the machine reaches. Breathe.
11% 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. Certified hard to automate. Today’s AI barely touches the core of this one.
WHAT AI CAN ALREADY DO
- Determine photovoltaic (PV) system designs or configurations based on factors such as customer needs, expectations, and site conditions
- Compile or maintain records of system operation, performance, and maintenance
- Identify installation locations with proper orientation, area, solar access, or structural integrity for photovoltaic (PV) arrays
- Visually inspect and test photovoltaic (PV) modules or systems
- Determine materials, equipment, and installation sequences necessary to maximize installation efficiency
WHAT IT STILL CAN’T
- Install photovoltaic (PV) systems in accordance with codes and standards, using drawings, schematics, and instructions
- Assemble solar modules, panels, or support structures, as specified
- Apply weather sealing to array, building, or support mechanisms
- Determine appropriate sizes, ratings, and locations for all system overcurrent devices, disconnect devices, grounding equipment, and surge suppression equipment
- Install module array interconnect wiring, implementing measures to disable arrays during installation
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 11% 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