OBSERVED IN REAL USE · Anthropic 2026
41%
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
- Develop and maintain an institution's registration, cataloging, and basic record-keeping systems, using computer databases
- Write and review grant proposals, journal articles, institutional reports, and publicity materials
- Plan and organize the acquisition, storage, and exhibition of collections and related materials, including the selection of exhibition themes and designs, and develop or install exhibit materials
- Plan and conduct special research projects in area of interest or expertise
- Provide information from the institution's holdings to other curators and to the public
WHAT IT STILL CAN’T
- Attend meetings, conventions, and civic events to promote use of institution's services, to seek financing, and to maintain community alliances
- Train and supervise curatorial, fiscal, technical, research, and clerical staff, as well as volunteers or interns
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