Curators

Three parts of your work where AI is already doing real lifting, and what stays yours.

• Field notebooks1846–1906

  Field notebooks, specimen ledgers, and printed catalogs (pre-professional era)

  The first generation of American museum curators worked with hand-ruled ledger books, field notebooks, and hand-written catalog cards. Spencer Baird at the Smithsonian standardized specimen labels and catalog cards in the 1850s, creating systematic documentation practices that spread to natural history museums across the country. Each object received a sequential accession number recorded in a bound ledger; loan records, condition notes, and correspondence were maintained in paper files. The physical card catalog -- a wooden cabinet with alphabetically organized index cards -- became the backbone of collection management from roughly the 1870s onward. Published printed catalogs served as the primary means of making collections accessible to scholars at a distance. This era established the intellectual habits of curatorial work: meticulous provenance documentation, systematic accession numbering, and the catalog record as the foundation of institutional memory.

• AAM professionalization standards1906–1970

  AAM professionalization standards, conservation science, and photographic documentation

  The American Association of Museums (founded 1906) began developing professional standards for collections care, exhibition practice, and curatorial documentation. Photography transformed how curators documented objects: photographic prints replaced or supplemented hand-drawn catalog illustrations for condition records, provenance research, and publication. The 1920s and 1930s saw the establishment of conservation science as a discipline allied to curatorship: the Fogg Art Museum at Harvard trained both art historians and conservators beginning in the 1920s, and Paul Sachs's museum studies training program (started at Harvard in the early 1920s) became the first formal graduate-level preparation for American curators. Ultraviolet lamps, X-ray equipment, and chemical analysis moved from research labs into museum conservation studios during the 1940s-1950s, giving curators tools to assess condition and authenticity that had not existed before.

  Effect on the work

  Professionalization gradually replaced the independent scholar-collector model with an institutional career path. By 1950 most major US museums expected a graduate degree (typically in art history, archaeology, or a natural science) as the minimum credential for curatorial positions. This raised barriers to entry and began shifting the profession toward greater demographic uniformity.

• MARC records1970–1995

  MARC records, early collections management databases (MIMSY, ARGUS), and microfilm

  In the 1970s libraries adopted the MARC (Machine-Readable Cataloging) standard, and museum collections departments began experimenting with analogous computer-assisted catalog systems. Early purpose-built museum collections management systems -- including MIMSY (originally developed at the Museum of London in the 1980s), ARGUS, and others -- moved collections records from physical card catalogs onto minicomputers and early PCs. The transition was slow: as late as the early 1990s many mid-sized American museums still relied on card catalogs or paper spreadsheets for primary collections documentation. Microfilm and microfiche extended the reach of archival finding aids and made interlibrary provenance research practical. The key effect on curatorial labor was administrative: more time could be spent on intellectual work (research, exhibition development) as routine lookup tasks became computer-mediated, though data entry for retroactive conversion of paper records to digital format created a large temporary burden.

• Internet access1995–2010

  Internet access, TMS/EMu collections management platforms, and early online collection portals

  The mid-1990s brought two converging technology changes that reshaped curatorial work: the World Wide Web made it possible to publish collection records publicly, and Gallery Systems' The Museum System (TMS) and Axiell's MUSCAT (later EMu) became the dominant enterprise collections management platforms for art and natural history museums respectively. For the first time curators could search peer institution's collections online, trace auction provenance through digitized sale catalogs, and publish their own collections to a global audience without printing a paper catalog. The CHIN (Canadian Heritage Information Network) and a series of AAM digitization initiatives formalized standards for online collection access. Email replaced postal correspondence for the daily coordination of loans, exhibitions, and acquisitions, compressing timelines significantly. The period also brought the first public scrutiny of Nazi-looted art restitution: the 1998 Washington Principles on Nazi-Confiscated Art created new requirements for provenance research that changed the research load of curatorial work.

  Effect on the work

  Online collection access created new public expectations: visitors began arriving at museums having already reviewed the collection online, requiring curators to produce deeper digital records. Provenance research became a formal institutional obligation for any pre-1945 European work, substantially expanding curatorial workload at art museums.

• Google Arts2010–2022

  Google Arts and Culture, IIIF image standards, linked open data, and digital humanities

  Google launched its Art Project in 2011 (later Google Arts and Culture), partnering with major museums to provide gigapixel-resolution online access to masterworks. The International Image Interoperability Framework (IIIF), published in 2012, standardized how institutions shared high-resolution digital images of collection objects, enabling cross-institutional comparison and scholarship at scale. Europeana aggregated tens of millions of digitized cultural objects from European institutions. Curators began publishing collection metadata as linked open data, connecting their records to Wikidata, DBpedia, and VIAF authority files. These changes made provenance research dramatically faster: what once required weeks of travel to European archives could now be accomplished in hours using digitized auction records and dealer inventories. The digital humanities emerged as a recognized academic field, and museums began hiring curators with computational skills alongside traditional disciplinary expertise. Smartify launched in 2015, using computer vision to identify museum objects from visitor smartphone photos, shifting some interpretive labor toward digital content production.

  Effect on the work

  Online access and IIIF standards increased public use of museum collections substantially. The "digital curator" role emerged as a distinct specialty at larger institutions, requiring skills in metadata standards, rights management, and digital asset management that traditional art history or natural science training did not provide.

• AI-assisted cataloging2022–present

  AI-assisted cataloging, provenance AI, and generative interpretation tools (Axiell EMu AI, Bloomberg Connects, Claude)

  Axiell EMu's AI-assisted data enrichment and Gallery Systems TMS began auto-populating catalog fields from digitized images using computer vision, reducing manual entry for routine items at early-adopter institutions. The Getty Provenance Index added AI-assisted entity disambiguation to link personal names across millions of historical auction records. Bloomberg Connects (launched 2021, now at hundreds of cultural institutions) enabled curators to produce multilingual digital guides without expensive external production. Large language models arrived as first-draft tools for exhibition labels, grant proposals, and catalogue essays. The American Alliance of Museums's TrendsWatch 2025 report identified AI in collections management and visitor engagement as the field's primary technology challenge. Unlike earlier technology eras that primarily reorganized administrative work, AI tools operate directly on the intellectual content of curatorial labor -- suggesting attributions, surfacing archival connections, generating interpretation -- making the boundary between curatorial judgment and machine output an active institutional question.

  Effect on the work

  Early surveys suggest AI tools are reducing the time curators spend on routine cataloging and label drafting, but institutions have not yet translated this productivity gain into staffing reductions. The tasks most affected (data entry, basic catalog field population, first-draft label writing) are typically assigned to junior staff; AI may slow hiring at the entry level before affecting senior curatorial positions.