Will AI replace archivists?

What AI already does in this job

In modern repositories like university archives and state historical societies, artificial intelligence already streamlines backlogs of digital-born and digitized collections. Institutions deploy computer vision algorithms to automatically tag digital photograph collections with descriptive metadata, identifying faces, architectural landmarks, and geographic features. Speech-to-text models like Whisper generate baseline transcriptions of oral history audio recordings, making vast audio-visual collections searchable in hours rather than months. In corporate and governmental settings, machine learning filters through terabytes of electronic records, flagging duplicate documents and sorting executive email archives for retention schedules. Software integrations in systems like Preservica or Archivematica help automate format validation, ingest workflows, and preliminary categorization. These tools eliminate thousands of hours of manual data entry, enabling archivists to process massive digital donations that would otherwise languish in dark storage. However, these systems still require human oversight to correct algorithmic hallucinations, inaccurate tagging, and faulty transcriptions before records are published to public-facing finding aids.

Where humans still win

AI cannot physically handle, stabilize, or conserve delicate material history. An algorithm cannot mend torn nineteenth-century manuscript paper, preserve deteriorating nitrate film negatives, or make tactile judgments about environmental humidity in a physical vault. Beyond the physical, determining historical provenance and archival appraisal demands deep contextual knowledge. Algorithms can read keywords, but they cannot assess the societal impact or political nuances embedded in personal correspondence, banned publications, or uncataloged community records. Furthermore, historical documents frequently feature idiosyncratic cursive, archaic terminology, or water-damaged ink that modern handwriting recognition tools routinely fail to interpret accurately compared to paleography experts. Archivists also make sensitive ethical judgments, deciding whether donor agreements restrict access to private diaries, protecting indigenous cultural sovereignty under protocols like OCAP, or identifying redaction needs for sensitive personal data. These nuanced appraisals require scholarly training and ethical accountability that automated systems cannot replicate.

This job in 2035

Over the next decade, the archivist profession is projected to grow by 8 percent, a healthy trajectory driven by the exponential explosion of digital records and renewed public investment in preserving institutional history. Median earnings, currently around $60,000, will likely see upward pressure for professionals who bridge the gap between traditional preservation and data science. By 2035, the daily workflow of an archivist will shift away from mechanical data entry, manual scanning, and repetitive cataloging toward curation oversight, digital forensics, and community engagement. Instead of individually writing descriptive metadata for thousands of items, archivists will direct automated pipelines, audit machine-generated finding aids for bias, and design interactive digital exhibitions. Institutional headcount will remain resilient in museums, academic libraries, and federal agencies, though candidates holding a Master of Library and Information Science will increasingly need skills in digital asset management and computational archival science to compete for top-tier appointments.

Skills that protect you

• Material conservation and physical preservation, which protects this role because physical stabilization of rare manuscripts, textiles, and film stocks requires manual dexterity and tactile chemistry expertise.
• Archival appraisal and historical contextualization, which protects this role because determining which institutional records hold enduring cultural or legal value requires critical human judgment that models cannot deduce from raw text volume.
• Paleography and damaged document interpretation, which protects this role because reading archaic scripts, faded shorthand, and non-standard historical handwriting remains beyond the reliable capability of machine vision.
• Provenance research and legal copyright verification, which protects this role because untangling complex donor restrictions, institutional custody chains, and intellectual property claims demands rigorous investigative research and legal nuance.
• Ethical custody and culturally sensitive curation, which protects this role because navigating tribal protocols, privacy rights, and post-custodial community archiving requires human empathy, cultural competence, and diplomatic negotiation.

If you want to move

Archivists seeking higher compensation or lower exposure to digital automation can pivot their information organization skills into high-demand adjacent careers. A Master of Library and Information Science or archival degree translates naturally into Digital Asset Manager positions in media companies, where professionals organize enterprise creative libraries. Another lucrative path is becoming a Corporate Records and Information Manager, helping legal and financial firms navigate regulatory compliance, data retention, and electronic discovery. For those leaning toward technical operations, transitioning into a Metadata Specialist or Taxonomy Consultant role for cloud software providers allows archivists to build the knowledge graphs and categorization frameworks that power enterprise search engines.