EXPOSURE TO AI
9%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
4%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Certified irreplaceable. For now, gloriously human.
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
- Record information, such as the number of products tested, meter readings, or dates and times of product production
- Read gauges or charts, and record data obtained
- Examine products to verify conformance to quality standards
- Count finished products to determine if product orders are complete
- Measure amounts of products, lengths of extruded articles, or weights of filled containers to ensure conformance to specifications
WHAT IT STILL CAN’T
- Load and unload items from machines, conveyors, and conveyances
- Operate machinery used in the production process, or assist machine operators
- Place products in equipment or on work surfaces for further processing, inspecting, or wrapping
- Start machines or equipment to begin production processes
- Observe equipment operations so that malfunctions can be detected, and notify operators of any malfunctions
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