OBSERVED IN REAL USE · Anthropic 2026
13%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Automate-adjacent. Keep the parts only you can sign off on.
50% 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. Heavily exposed. Most of the tasks are within reach of today’s AI.
WHAT AI CAN ALREADY DO
- Prepare archival records, such as document descriptions, to allow easy access to information
- Organize archival records and develop classification systems to facilitate access to archival materials
- Provide reference services and assistance for users needing archival materials
- Establish and administer policy guidelines concerning public access and use of materials
- Research and record the origins and historical significance of archival materials
WHAT IT STILL CAN’T
- Coordinate educational and public outreach programs, such as tours, workshops, lectures, and classes
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 50% 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