The Impact of Generative AI on Knowledge Creation and Retention: Strategies for the Modern Digital Workplace

Abstract

The rapid advancement of Generative Artificial Intelligence (GenAI) technologies has significantly transformed how organizations create, share, and retain knowledge within modern digital workplaces. Tools such as ChatGPT, Microsoft Copilot, Gemini, and other AI-powered platforms have become increasingly integrated into daily organizational operations, offering new opportunities for knowledge generation, information retrieval, collaboration, and decision-making. Despite the growing adoption of these technologies, concerns remain regarding their influence on employee learning, critical thinking, knowledge retention, and organizational knowledge management practices. Therefore, this study aimed to explore employees' experiences and perceptions regarding the impact of Generative AI on knowledge creation and retention in contemporary workplaces. A qualitative research approach was adopted using semi-structured interviews with 24 participants employed across various industries, including information technology, education, healthcare, finance, telecommunications, and consulting services. Participants were selected through purposive sampling based on their active use of Generative AI tools within their professional responsibilities. Data were analyzed using Braun and Clarke’s six-phase thematic analysis framework. The findings revealed five major themes: (1) Enhanced Knowledge Accessibility and Creation, (2) Improved Productivity and Decision Support, (3) Risks of Knowledge Dependency, (4) Transformation of Organizational Learning Practices, and (5) Strategic Approaches for Sustainable Knowledge Retention. Participants reported that Generative AI significantly accelerated information generation, improved collaborative knowledge sharing, and enhanced problem-solving capabilities.