Will AI replace Curators?
On paper, AI could touch ~50% of the work in Curators — and unlike most jobs, it's already showing up in the real workday, not just the theory.
O*NET-SOC 25-4012
How your 12 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~50%). By late 2025, real-world AI use had caught up to about 41% of its task activity (already common). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Read this as a range, not a verdict
The signals here partly disagree — AI's theoretical reach (~50%) and its real-world use (~41%) tell different stories. AI-risk scores also shift a lot by which model does the rating (2.7%–51.5% in one 2026 study), so this is a direction of travel, not a fixed answer.
See all 12 tasks, ratedBased on real task-level AI scores — click to collapse
- 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.
- Negotiate and authorize purchase, sale, exchange, or loan of collections.
- Study, examine, and test acquisitions to authenticate their origin, composition, history, and to assess their current value.
- Inspect premises to assess the need for repairs and to ensure that climate and pest control issues are addressed.
- Design, organize, or conduct tours, workshops, and instructional or educational sessions to acquaint individuals with an institution's facilities and materials.
- Confer with the board of directors to formulate and interpret policies, to determine budget requirements, and to plan overall operations.
- 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.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.