EXPOSURE TO AI
46%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
7%
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.
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
- Create checklists for review or inspection of completed solar installation projects
- Create plans for solar energy system development, monitoring, and evaluation activities
- Design or coordinate design of photovoltaic (PV) or solar thermal systems, including system components, for residential and commercial buildings
- Create electrical single-line diagrams, panel schedules, or connection diagrams for solar electric systems, using computer-aided design (CAD) software
- Develop design specifications and functional requirements for residential, commercial, or industrial solar energy systems or components
WHAT IT STILL CAN’T
- Provide technical direction or support to installation teams during installation, start-up, testing, system commissioning, or performance monitoring
- Test or evaluate photovoltaic (PV) cells or modules
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