EXPOSURE TO AI
2%
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.
2% 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
- Inspect instruments to locate defects, and to determine their value or the level of restoration required
WHAT IT STILL CAN’T
- Play instruments to evaluate their sound quality and to locate any defects
- Adjust string tensions to tune instruments, using hand tools and electronic tuning devices
- Reassemble instruments following repair, using hand tools and power tools and glue, hair, yarn, resin, or clamps, and lubricate instruments as necessary
- Disassemble instruments and parts for repair and adjustment
- Repair or replace musical instrument parts and components, such as strings, bridges, felts, and keys, using hand and power tools
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 2% 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