Generative AI isn’t just producing more information. It’s dissolving the document, the organizing unit that information science and librarianship have been built around for over a century. I’m calling this an Information Shock.
The short version of the argument was just published at Information Matters: [https://informationmatters.org/2026/07/ai-information-shock-and-a-new-information-science/]. It makes the core case in about a thousand words: AI creates a new kind of authorship with no stable object to catalog, retrieve, cite, or verify. That’s not a skills gap. It’s a structural problem for the field.
The longer version is a preprint on SocArXiv, submitted to the Journal of Documentation: [https://doi.org/10.31235/osf.io/36a97_v1]. That paper traces a historical pattern: the field has faced information shocks before, from cuneiform to the postwar data explosion, and each time rebuilt around a new object and a new professional identity. AI is the next such moment, and the field’s current responses, including AI literacy, aren’t scaled to what’s actually changing.
I’ll be writing more here about Information Shock and what it means for libraries and information science. I’d love to hear your thoughts.
For those who want the formal summary, here’s the abstract of the Journal of Documentation piece:
Purpose. This paper argues that AI authoring is prompting an Information Shock and a new information science. The shock is not a matter of increased volume and variable quality of AI produced information. It comes as generative AI creates a new kind of author that dissolves the document, the field’s organizing unit. This forces a reconstitution of tools, literacies, and identity.
Design/methodology/approach. The paper applies a conceptual framework drawn from the history of Information Shocks, tracing how disruptions from cuneiform to post-World War II research data forced the field to rebuild around new objects and practices. AI is analyzed against that pattern.
Findings. AI produces two modes of authorship: document-like objects that enter existing infrastructures, and transactional, co-authored exchanges with no stable unit to catalog, retrieve, cite, or verify. The second mode renders AI literacy inadequate, even in its current forms, because they presuppose an identifiable object and human interlocutors. Anticipated changes reach professional identity, tools, intellectual property, and education.
Research limitations/implications. The argument is theoretical and prospective, and some anticipated changes remain speculative. The Information Shock outlined is anticipated to have major impacts for librarians and information professionals moving forward.
Originality/value. The paper offers a historically grounded distinction between document-producing and transactional AI authorship, arguing that in this mode a nonhuman conversant takes the mediating position the field has long held.
Keywords. Artificial intelligence, generative AI, Information Shock, documentalism, information literacy, authorship, professional identity
