Grassroots AI integration in organizations: from employee initiative to institutional learning

Document Type

Article

Source of Publication

Development and Learning in Organizations

Publication Date

1-9-2026

Abstract

Purpose – This viewpoint explores how artificial intelligence (AI) adoption increasingly emerges as a grassroots movement within organizations. It argues that employees’ informal experimentation with AI tools reshapes organizational learning, development practices, and governance models. Design/methodology/approach – Drawing on recent organizational learning and management literature, this paper adopts a conceptual and practice-oriented perspective. It interprets emerging workplace trends to provide actionable insights for leaders, managers, and trainers navigating AI-enabled change. Findings – Drawing on recent organizational learning and management literature, this paper adopts a conceptual and practice-oriented perspective. It interprets emerging workplace trends to provide actionable insights for leaders, managers, and trainers navigating AI-enabled change. Research limitations/implications – Organizations should legitimize grassroots AI initiatives, establish safe communication channels, and build adaptive training strategies. Managers are encouraged to act as facilitators rather than gatekeepers, translating informal AI use into institutional knowledge and policy learning. Practical implications – Organizations should legitimize grassroots AI initiatives, establish safe communication channels, and build adaptive training strategies. Managers are encouraged to act as facilitators rather than gatekeepers, translating informal AI use into institutional knowledge and policy learning. Originality/value – This paper reframes AI integration as a bottom-up learning phenomenon rather than a purely technological or managerial process. It contributes to ongoing discussions in Development and Learning in Organizations by highlighting how grassroots experimentation can serve as a driver of institutional innovation and cultural agility.

ISSN

1477-7282

Publisher

Emerald

First Page

1

Last Page

4

Disciplines

Business

Keywords

Artificial intelligence, Grassroots innovation, Workplace learning

Scopus ID

105027367165

Indexed in Scopus

yes

Open Access

no

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