EXPOSURE TO AI
14%
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.
14% 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
- Complete required paperwork, such as work orders, according to services performed or required
- Collect payment upon job completion
- Inspect job sites, assessing headroom, side room, or other conditions to determine appropriateness of door for a given location
- Study blueprints and schematic diagrams to determine appropriate methods of installing or repairing automated door openers
WHAT IT STILL CAN’T
- Wind large springs with upward motion of arm
- Adjust doors to open or close with the correct amount of effort, or make simple adjustments to electric openers
- Carry springs to tops of doors, using ladders or scaffolding, and attach springs to tracks to install spring systems
- Repair or replace worn or broken door parts, using hand tools
- Fasten angle iron back-hangers to ceilings and tracks, using fasteners or welding equipment
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 14% 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