EXPOSURE TO AI
48%
MODERATE
OBSERVED IN REAL USE · Anthropic 2026
18%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
A co-pilot is coming for the busywork, not the wheel.
48% 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
- Prepare reports, manuscripts, proposals, and technical manuals for use by other scientists and requestors, such as sponsors and customers
- Write research papers for publication in scientific journals
- Conduct research on the structures and properties of materials, such as metals, alloys, polymers, and ceramics, to obtain information that could be used to develop new products or enhance existing ones
- Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications
- Plan laboratory experiments to confirm feasibility of processes and techniques used in the production of materials with special characteristics
WHAT IT STILL CAN’T
- Test metals to determine conformance to specifications of mechanical strength, strength-weight ratio, ductility, magnetic and electrical properties, and resistance to abrasion, corrosion, heat, and cold
- Visit suppliers of materials or users of products to gather specific information
- Teach in colleges and universities
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 48% 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