EXPOSURE TO AI
49%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
10%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Half in the fire, half out. Choose which half you become.
49% 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. In the blast radius. A real slice of the work is already automatable. The rest isn’t.
WHAT AI CAN ALREADY DO
- Select transportation routes to maximize economy by combining shipments or consolidating warehousing and distribution
- Define performance metrics for measurement, comparison, or evaluation of supply chain factors, such as product cost or quality
- Implement new or improved supply chain processes to improve efficiency or performance
- Develop procedures for coordination of supply chain management with other functional areas, such as sales, marketing, finance, production, or quality assurance
- Confer with supply chain planners to forecast demand or create supply plans that ensure availability of materials or products
WHAT IT STILL CAN’T
- Appraise vendor manufacturing capabilities through on-site observations or other measurements
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 49% 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