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
- Read work orders and specifications to determine machines and equipment requiring repair or maintenance
- Record production, repair, and machine maintenance information
- Inventory and requisition machine parts, equipment, and other supplies so that stock can be maintained and replenished
WHAT IT STILL CAN’T
- Start machines and observe mechanical operation to determine efficiency and to detect problems
- Inspect or test damaged machine parts, and mark defective areas or advise supervisors of repair needs
- Reassemble machines after the completion of repair or maintenance work
- Dismantle machines and remove parts for repair, using hand tools, chain falls, jacks, cranes, or hoists
- Install, replace, or change machine parts and attachments, according to production specifications
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