Education & Training · Updated Aug 2026

Archivists

Appraise, edit, and direct safekeeping of permanent records and historically valuable documents. Participate in research activities based on archival materials.

JVS 2.0.0-phase4b
AI Exposure
74/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
58/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence84/100
Task coverage88%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Organize archival records and develop classification systems to facilitate access to archival materials.High
74
Direct activities of workers who assist in arranging, cataloguing, exhibiting, and maintaining collections of valuable materials.High
75
Provide reference services and assistance for users needing archival materials.High
75
Prepare archival records, such as document descriptions, to allow easy access to information.High
74
Create and maintain accessible, retrievable computer archives and databases, incorporating current advances in electronic information storage technology.High
72
Establish and administer policy guidelines concerning public access and use of materials.High
75
Research and record the origins and historical significance of archival materials.High
74
Preserve records, documents, and objects, copying records to film, videotape, audiotape, disk, or computer formats as necessary.High
73
Authenticate and appraise historical documents and archival materials.Medium
75
Specialize in an area of history or technology, researching topics or items relevant to collections to determine what should be retained or acquired.Medium
71
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Direct activities of workers who assist in arranging, cataloguing, exhibiting, and maintaining collections of valuable materials.75
  2. Provide reference services and assistance for users needing archival materials.75
  3. Establish and administer policy guidelines concerning public access and use of materials.75
  4. Authenticate and appraise historical documents and archival materials.75
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Organize archival records and develop classification systems to facilitate access to archival materials.01
  2. Direct activities of workers who assist in arranging, cataloguing, exhibiting, and maintaining collections of valuable materials.02
  3. Provide reference services and assistance for users needing archival materials.03
  4. Prepare archival records, such as document descriptions, to allow easy access to information.04
  5. Create and maintain accessible, retrievable computer archives and databases, incorporating current advances in electronic information storage technology.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

See all rankings →
Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency78
Physical dependency42
Adoption pressure65
Labour-market resilience58
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence84/100
CalculatedAug 21, 2026
Read methodology →