EXPOSURE TO AI
9%
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.
9% 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
- Study work orders or shoe part tags to obtain information about workloads, specifications, and the types of materials to be used
WHAT IT STILL CAN’T
- Remove and examine shoes, shoe parts, and designs to verify conformance to specifications such as proper embedding of stitches in channels
- Perform routine equipment maintenance such as cleaning and lubricating machines or replacing broken needles
- Cut excess thread or material from shoe parts, using scissors or knives
- Turn screws to regulate size of staples
- Align parts to be stitched, following seams, edges, or markings, before positioning them under needles
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 9% 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