Why Archives Are Going Digital

Every archive holds two things at once: a record of the past, and a slow race against its own decay. Paper acidifies, magnetic tape sheds its coating, and the equipment that once played a cassette or read a floppy disk grows harder to find each year. By 2026, that race is one most institutions have decided they can no longer run on the back of the original object alone. Digitisation has shifted from an optional enhancement to a core part of how collections are kept, found, and shared.

The first argument for going digital is the simplest: a fragile original is handled less when a faithful surrogate exists. A high-resolution scan or a clean audio transfer lets researchers consult the content without touching the artefact, and it captures detail at a moment when the original may already be fading.

A digital file is not immune to loss, of course. Bits rot quietly, and a corrupted copy can be worse than no copy at all because it looks intact. This is where archival practice has matured. Checksums recorded at the point of capture, and verified on a regular schedule, let an archive prove that a file is byte-for-byte what it was the day it was created. Standards such as PREMIS for preservation metadata and BagIt for packaging exist precisely so that a digital object carries its own evidence of integrity and provenance. Preservation, done properly, is not a one-time act of copying — it is an ongoing discipline of checking.

The second argument is about reach. A box on a shelf is, in practice, invisible to anyone who does not already know it exists. A digitised, well-described collection can be searched, linked, and read from anywhere.

Good access depends on more than putting images online. It depends on description that machines can read and people can navigate: hierarchical finding aids in EAD, item metadata in Dublin Core or MARC, and persistent identifiers such as ARK or DOI so that a citation still resolves years later. Interoperability standards like IIIF let a deep-zoom image be viewed in any compatible tool, and OAI-PMH lets catalogues share their records with aggregators rather than hiding behind a single search box. The result is a collection that is not just preserved, but genuinely usable.

This is the part where claims tend to outrun reality, so it is worth being precise. AI is genuinely useful for the laborious early stages of processing a backlog. It can read text from scanned pages and photographs, produce a first-pass transcript of an interview or oral history, suggest subject keywords, and flag the names of people, organisations, and places mentioned in a document. Used well, it turns a silent box of material into something searchable far faster than manual keying alone.

What AI cannot do is exercise archival judgement. It does not know which detected name is the right authority record, whether a transcript has misheard a crucial word, or how a sensitive document should be described and restricted. It produces a draft, not a decision.

In practice this means keeping a clear trail: what the machine proposed, what a person decided, and what was finally published. That separation is what lets an institution adopt automation without surrendering accountability for its own catalogue. Archives are going digital because the alternative is slow loss and limited access. The collections that fare best will be the ones that treat digitisation as preservation and description and careful human oversight — not as a shortcut around any of them.