EXPOSURE TO AI
4%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Certified irreplaceable. For now, gloriously human.
4% 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 or other specifications to determine methods of installation, work procedures, or material or tool requirements
- Measure and mark surfaces to lay out work, according to blueprints or drawings, using tape measures, straightedges or squares, and marking devices
WHAT IT STILL CAN’T
- Fit and fasten wallboard or drywall into position on wood or metal frameworks, using glue, nails, or screws
- Measure and cut openings in panels or tiles for electrical outlets, windows, vents, plumbing, or other fixtures, using keyhole saws or other cutting tools
- Assemble or install metal framing or decorative trim for windows, doorways, or vents
- Cut metal or wood framing and trim to size, using cutting tools
- Inspect furrings, mechanical mountings, or masonry surfaces for plumbness and level, using spirit or water levels
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 4% 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