Will AI replace Curators?
Estimated risk score: 49 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (30 to 68).
For the occupation as a whole, from ratings of its 15 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 25-4012.00 · Educational Instruction and Library
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 3 of its 15 rated tasks. In O*NET’s words.
- 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.
- Provide information from the institution's holdings to other curators and to the public.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 2 of its 15 rated tasks. In O*NET’s words.
- 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.
What the job is
Administer collections, such as artwork, collectibles, historic items, or scientific specimens of museums or other institutions. May conduct instructional, research, or public service activities of institution.
Also called: Museum Curator, Collections Curator, Art Curator, Numismatist, Philatelist, Data Curator, Museum Manager, Content Curator.
Closest jobs we score by hand
In the same field (Educational Instruction and Library). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate