EXPOSURE TO AI
6%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
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.
6% 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
- Calculate amounts of required materials and estimate costs, based on surface measurements or work orders
WHAT IT STILL CAN’T
- Fill cracks, holes, or joints with caulk, putty, plaster, or other fillers, using caulking guns or putty knives
- Cover surfaces with dropcloths or masking tape and paper to protect surfaces during painting
- Smooth surfaces, using sandpaper, scrapers, brushes, steel wool, or sanding machines
- Read work orders or receive instructions from supervisors or homeowners to determine work requirements
- Apply primers or sealers to prepare new surfaces, such as bare wood or metal, for finish coats
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 6% 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