EXPOSURE TO AI
3%
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.
3% 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
- Compute impedance of wires from poles to houses to determine additional resistance needed for reducing signals to desired levels
WHAT IT STILL CAN’T
- Set up service for customers, installing, connecting, testing, or adjusting equipment
- Travel to customers' premises to install, maintain, or repair audio and visual electronic reception equipment or accessories
- Measure signal strength at utility poles, using electronic test equipment
- Splice cables, using hand tools, epoxy, or mechanical equipment
- Access specific areas to string lines, or install terminal boxes, auxiliary equipment, or appliances, using bucket trucks, climbing poles or ladders, or entering tunnels, trenches, or crawl spaces
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 3% 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