"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace
Authors:
- Nancy QingNQNancy Qing
- XiaXIXia
- Marios ConstantinidesMCMarios Constantinides
- Advait SarkarASAdvait Sarkar
- Duncan BrumbyDBDuncan Brumby
- Anna CoxACAnna Cox
Preprint
Abstract
Generative AI (GenAI) tools are rapidly transforming knowledge work, making AI literacy a critical priority for organizations. However, research on AI literacy lacks empirical insight into how knowledge workers' beliefs around GenAI literacy are shaped by the social dynamics of the workplace, and how workers learn to apply GenAI tools in these environments. To address this gap, we conducted in-depth interviews with 19 knowledge workers across multiple sectors to examine how they develop GenAI competencies in real-world professional contexts. We found that, while knowledge sharing from colleagues supported learning, the ability to remove cues indicating GenAI use was perceived as validation of domain expertise. These behaviours ultimately reduced opportunities for learning via knowledge sharing and undermined transparency. To advance workplace AI literacy, we argue for fostering open dialogue, increasing visibility of user-generated knowledge, and greater emphasis on the benefits of collaborative learning for navigating rapid technological developments.Keywords
All Related Versions
- Version 1, 2026-02-01, ArXiv
- Version 2, 2026-04-26, ArXiv
- Published version: , 1.
This publication has 90 references indexed in Scilit:
- Understanding Human-AI Augmentation in the Workplace: A Review and a Future Research AgendaInformation Systems Frontiers, 2025
- A Three-Year Analysis of Human Preferences in Delegating Tasks to AI2024
- Managing a ChatGPT-empowered workforce: Understanding its affordances and side effectsBusiness Horizons, 2024
- Development and validation of ChatGPT literacy scaleCurrent Psychology, 2024
- Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?Computers and Education: Artificial Intelligence, 2022
- Conceptualizing AI literacy: An exploratory reviewComputers and Education: Artificial Intelligence, 2021
- Defining the term knowledge worker: Toward improved ontology and operationalizationKnowledge and Process Management, 2020
- Self-Directed Learning as a Practice of Workplace Learning: Interpretative Repertoires of Self-Directed Learning in ICT WorkVocations and Learning, 2019
- Bridging Artifacts and Actors: Expertise Sharing in Organizational EcosystemsComputer Supported Cooperative Work (CSCW), 2011
- Over the Shoulder Learning: Supporting Brief Informal LearningComputer Supported Cooperative Work (CSCW), 2005