EXPOSURE TO AI
5%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
4%
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
- Read blueprints and specifications to determine job requirements
WHAT IT STILL CAN’T
- Measure and cut insulation for covering surfaces, using tape measures, handsaws, knives, and scissors
- Fit insulation around obstructions, and shape insulating materials and protective coverings as required
- Determine the amounts and types of insulation needed, and methods of installation, based on factors such as location, surface shape, and equipment use
- Install sheet metal around insulated pipes with screws to protect the insulation from weather conditions or physical damage
- Apply, remove, and repair insulation on industrial equipment, pipes, ductwork, or other mechanical systems such as heat exchangers, tanks, and vessels, to help control noise and maintain temperatures
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 5% 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