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EXPOSURE TO AI
5%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
1%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Robots can’t hold a hand, a scalpel, or your nerve.

5% 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
  • Design active direct or indirect, passive direct or indirect, or pool solar systems
  • Assess collector sites to ensure structural integrity of potential mounting surfaces or the best orientation and tilt for solar collectors
WHAT IT STILL CAN’T
  • Test operation or functionality of mechanical, plumbing, electrical, and control systems
  • Apply weather seal, such as pipe flashings and sealants, to roof penetrations and structural devices
  • Install solar collector mounting devices on tile, asphalt, shingle, or built-up gravel roofs, using appropriate materials and penetration methods
  • Install copper or plastic plumbing using pipes, fittings, pipe cutters, acetylene torches, solder, wire brushes, sand cloths, flux, plastic pipe cleaners, or plastic glue
  • Identify plumbing, electrical, environmental, or safety hazards associated with solar thermal installations
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.
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