EXPOSURE TO AI
6%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
4%
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.
6% 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
- Estimate spaces between collets and first inner coils to determine if spaces are within acceptable limits
- Turn wheels of calipers and examine springs, using loupes, to determine if center coils appear as perfect circles
- Review blueprints, sketches, or work orders to gather information about tasks to be completed
WHAT IT STILL CAN’T
- Assemble and install components of timepieces to complete mechanisms, using watchmakers' tools and loupes
- Observe operation of timepiece parts and subassemblies to determine accuracy of movement, and to diagnose causes of defects
- Test operation and fit of timepiece parts and subassemblies, using electronic testing equipment, tweezers, watchmakers' tools, and loupes
- Replace specified parts to repair malfunctioning timepieces, using watchmakers' tools, loupes, and holding fixtures
- Disassemble timepieces such as watches, clocks, and chronometers so that repairs can be made
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 6% 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