Archival Manager

AI Impact Assessment

Some tasks in this career are being augmented by AI, but the core work still requires significant human judgement and skill.

Methodology: Anthropic's March 2026 research into real-world AI task adoption across occupations.

Resilient with Growing AI Support

A degree in archive and records management, history, or library and information science still carries genuine long-term value, particularly as institutions grapple with the explosion of born-digital records that need managing with the same rigour as physical ones. Employers across government, universities, museums, and the NHS consistently need qualified professionals who understand both the technical and ethical dimensions of records stewardship. The credential matters here because archival work is trust-based, and employers want evidence of training in professional standards like those set by the Archives and Records Association. Graduates who combine this with digital skills are entering a field with stable demand rather than one facing contraction.

Over the next five years, AI-assisted cataloguing tools will significantly reduce the time archivists spend on routine description and metadata tagging, making individual archivists more productive but not redundant. Institutions will expect new entrants to be comfortable using these tools from day one, so digital literacy is no longer optional. The core professional responsibilities around appraisal, policy development, and researcher liaison remain firmly human-led. Overall headcount in the profession is unlikely to shrink materially, but the nature of daily tasks will shift toward oversight and interpretation rather than manual processing.

By the mid-2030s, AI will handle the bulk of routine cataloguing, transcription, and basic preservation assessment for well-resourced institutions, meaning the profession will place a higher premium on specialists who can manage complex digital preservation environments and AI system governance. Archivists who understand how to audit AI-generated metadata for bias or error will be particularly valued. Roles focused purely on manual processing will contract, but senior and strategic positions will remain robust. Those who have built expertise in digital preservation standards such as OAIS or in specific collection domains will be well positioned.

Over a twenty-year horizon, the archival profession will likely look quite different in its day-to-day operations, with AI systems managing large portions of the cataloguing, access, and even preliminary conservation assessment pipeline. The professionals who thrive will be those who sit at the intersection of information governance, digital infrastructure, and cultural heritage policy rather than hands-on processing. Entirely new roles around AI-curated collection ethics, digital provenance verification, and long-term data integrity management will emerge from this field. The profession will be smaller in raw numbers but carry greater strategic influence within institutions.

Build serious digital preservation credentials

Go beyond basic digitisation skills and develop expertise in digital preservation frameworks such as OAIS, Archivematica, or the Digital Preservation Coalition's guidance. Institutions are increasingly anxious about the long-term viability of born-digital collections, and professionals who can manage this technical challenge are in short supply. This is one of the clearest areas where human expertise will command a salary premium over the coming decade.

Understand AI tools well enough to govern them

Learn how machine learning-based cataloguing and transcription tools actually work, not just how to use them. Being able to identify when AI-generated metadata is inaccurate, biased, or culturally inappropriate is a skill that will make you indispensable as institutions adopt these systems at scale. The ARA and institutions like The National Archives already offer training pathways in this space worth pursuing early.

Develop a specialist collection focus

Archivists with deep subject expertise in areas like colonial history, medical records, audiovisual heritage, or parliamentary records are consistently sought after for roles that require nuanced contextual judgement. AI tools can catalogue, but they cannot reliably interpret the cultural or legal significance of sensitive materials without expert human oversight. Building a recognised specialism early in your career creates a professional identity that is genuinely hard to automate.

Pursue records management alongside archival work

Records management within corporate, legal, and public sector environments is a related discipline with strong demand driven by data protection legislation such as UK GDPR and increasing regulatory scrutiny. An archival manager who also understands records lifecycle management and information governance policy is far more employable across a wider range of sectors. This crossover skill set is particularly valuable in the NHS, financial services, and local government.