Archivists
SOC: 25-4011.00 · Job Zone: 5
Key Takeaways
- ●AI Impact Score: 52/100 — Partial Automation Likely. Partial automation is likely for key tasks in this occupation.
- ●7K workers currently employed.
- ●Mean annual wage: $61,570.
- ●3 of 13 key tasks can already be performed by AI tools today.
What Archivists Do
Appraise, edit, and direct safekeeping of permanent records and historically valuable documents. Participate in research activities based on archival materials.
Also known as
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AI Impact Analysis
Archivists represent a specialized workforce of 7,050 professionals earning a mean annual wage of $61,570, working in a field that sits at the intersection of historical preservation and modern information management. This occupation requires extensive education and expertise (Job Zone 5/5), focusing on appraising, organizing, and safeguarding permanent records and historically valuable documents while facilitating research access.
AI is rapidly automating several core archival tasks. Document digitization and preservation processes are being streamlined through AI-powered optical character recognition tools like Adobe Acrobat's AI features and Google Cloud Vision API. Classification systems development, a task rated 4.8/5 in importance, is increasingly handled by machine learning platforms like Palantir Foundry and Microsoft Cognitive Services, which can automatically categorize and tag archival materials. Database creation and maintenance (importance: 4.6) is being revolutionized by AI-driven content management systems like M-Files and OpenText, while research assistance is enhanced through AI tools like Claude and GPT-4 that can quickly analyze historical documents and extract relevant information.
Critical human-essential tasks center on authentication, appraisal, and contextual interpretation of historical materials (importance: 3.9). The nuanced judgment required to determine historical significance, establish provenance, and make preservation decisions relies on deep domain expertise that AI cannot replicate. Public outreach coordination (importance: 3.9), policy establishment (importance: 4.6), and the supervision of archival staff (importance: 4.5) require human emotional intelligence, stakeholder management, and institutional knowledge that remain beyond AI capabilities.
The 5-10 year timeline for significant disruption reflects a measured transformation rather than wholesale replacement. In 1-3 years, expect AI to handle routine digitization, basic cataloging, and simple reference queries. Within 3-5 years, advanced AI will manage complex database searches, automated metadata generation, and preliminary document authentication, while humans focus on high-level curation, research guidance, and strategic collection development.
Major institutions are already implementing AI solutions: the National Archives uses machine learning for email classification, while academic libraries deploy AI-powered discovery tools like Ex Libris Primo and OCLC WorldCat Discovery. Museums and corporate archives are investing in AI-driven digital asset management systems, reducing the need for manual cataloging while requiring archivists to evolve into AI-augmented information strategists.
Task-by-Task AI Analysis
| Task | AI Status |
|---|---|
Organize archival records and develop classification systems to facilitate access to archival materials. AI can suggest classifications but requires human oversight for accuracy and context. | AI Assists Now |
Provide reference services and assistance for users needing archival materials. AI chatbots handle basic queries while complex research needs human expertise. | AI Assists 1-2 years |
Prepare archival records, such as document descriptions, to allow easy access to information. AI excels at generating standardized metadata and descriptions from document content. | AI Can Do This Now |
Create and maintain accessible, retrievable computer archives and databases, incorporating current advances in electronic information storage technology. AI-driven content management systems automate database creation and maintenance. | AI Can Do This Now |
Establish and administer policy guidelines concerning public access and use of materials. Policy decisions require institutional knowledge and stakeholder considerations. | Human Essential 5+ years |
Direct activities of workers who assist in arranging, cataloguing, exhibiting, and maintaining collections of valuable materials. Staff management requires human leadership and coordination skills. | Human Essential 5+ years |
Preserve records, documents, and objects, copying records to film, videotape, audiotape, disk, or computer formats as necessary. AI automates digitization workflows and format conversion processes. | AI Can Do This Now |
Research and record the origins and historical significance of archival materials. AI assists with research but human expertise determines historical significance. | AI Assists 1-2 years |
Locate new materials and direct their acquisition and display. AI helps identify relevant materials but acquisition decisions need human judgment. | AI Assists 3-5 years |
Authenticate and appraise historical documents and archival materials. Authentication requires expert knowledge of provenance and historical context. | Human Essential 5+ years |
Coordinate educational and public outreach programs, such as tours, workshops, lectures, and classes. Public engagement requires human communication and relationship-building skills. | Human Essential 5+ years |
Specialize in an area of history or technology, researching topics or items relevant to collections to determine what should be retained or acquired. AI supports research but specialized knowledge and judgment remain human domains. | AI Assists 3-5 years |
Select and edit documents for publication and display, applying knowledge of subject, literary expression, and presentation techniques. AI assists with formatting and basic editing while humans handle content curation. | AI Assists 1-2 years |
AI Tools Disrupting Archivists
Key Skills
Key Tasks
- •Organize archival records and develop classification systems to facilitate access to archival materials.
- •Provide reference services and assistance for users needing archival materials.
- •Prepare archival records, such as document descriptions, to allow easy access to information.
- •Create and maintain accessible, retrievable computer archives and databases, incorporating current advances in electronic information storage technology.
- •Establish and administer policy guidelines concerning public access and use of materials.
- •Direct activities of workers who assist in arranging, cataloguing, exhibiting, and maintaining collections of valuable materials.
- •Preserve records, documents, and objects, copying records to film, videotape, audiotape, disk, or computer formats as necessary.
- •Research and record the origins and historical significance of archival materials.
- •Locate new materials and direct their acquisition and display.
- •Authenticate and appraise historical documents and archival materials.
- •Coordinate educational and public outreach programs, such as tours, workshops, lectures, and classes.
- •Specialize in an area of history or technology, researching topics or items relevant to collections to determine what should be retained or acquired.
Technology Skills Used
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Salary Range
Career Transition Guidance
Archivists facing AI disruption have strong transition pathways to related information management roles. The closest career moves are to Librarians and Media Collections Specialists (25-4022.00), where skills in cataloging, research assistance, and information organization directly transfer. Document Management Specialists (15-1299.03) represent a growing field that values archival expertise in digital asset management and compliance.
For those seeking academic paths, transitioning to Library Science Teachers, Postsecondary (25-1082.00) leverages deep subject matter expertise, while Museum Technicians and Conservators (25-4013.00) utilize preservation and authentication skills. The transition timeline varies: librarian roles require 6-12 months of additional training in modern information systems, while document management positions may need 3-6 months of enterprise software certification. Academic positions typically require advanced degrees but offer the highest compensation potential.
The key is positioning archival expertise as a competitive advantage in an AI-driven world. Professionals with deep knowledge of historical context, authentication methods, and information governance become more valuable as organizations struggle to manage AI-generated content and ensure data integrity. Focus on developing hybrid skills that combine traditional archival knowledge with modern AI tools and digital asset management platforms.
Related Occupations
Frequently Asked Questions
Will AI replace Archivists?
No, AI will not fully replace Archivists. With an AI Impact Score of 52/100, this occupation faces moderate automation risk over 5-10 years. While AI automates routine tasks like digitization and basic cataloging, the 7,050 archivists in the US will transition to higher-level roles focusing on authentication, policy development, and specialized research.
What AI tools are used in Archivists roles?
Key AI tools include Microsoft Cognitive Services for classification, Adobe Acrobat AI for digitization, GPT-4 and Claude for research assistance, M-Files for database management, Google Cloud Vision API for document analysis, and Palantir Foundry for data organization and discovery.
What is the salary outlook for Archivists with AI?
The current mean annual wage of $61,570 for archivists is likely to increase as AI eliminates routine tasks, allowing professionals to focus on higher-value activities like authentication, specialized research, and strategic collection management that require advanced expertise.
What skills should Archivists develop for the AI era?
Focus on developing skills AI cannot replicate: advanced authentication techniques, policy development, stakeholder management, specialized historical research, and public engagement. Critical thinking (3.38/5 importance) and complex problem solving (3.25/5) become increasingly valuable as AI handles routine processing.
How many Archivists jobs are there in the US?
There are currently 7,050 archivists employed in the US, with no projected change data available. However, the role is evolving rather than disappearing, with demand shifting toward AI-augmented specialists who can manage digital collections and provide expert authentication services.