EXPOSURE TO AI
7%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The last desk the machine reaches. Breathe.
7% 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
- Determine quantities, sizes, shapes, and locations of reinforcing rods from blueprints, sketches, or oral instructions
WHAT IT STILL CAN’T
- Space and fasten together rods in forms according to blueprints, using wire and pliers
- Position and secure steel bars, rods, cables, or mesh in concrete forms, using fasteners, rod-bending machines, blowtorches, or hand tools
- Cut rods to required lengths, using metal shears, hacksaws, bar cutters, or acetylene torches
- Place blocks under rebar to hold the bars off the deck when reinforcing floors
- Cut and fit wire mesh or fabric, using hooked rods, and position fabric or mesh in concrete to reinforce concrete
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 7% 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