Fostering Knowledge Management Practices Through Artificial Intelligence: Vision 2030 as a Catalyst

Abstract

The rapid integration of artificial intelligence (AI) into organisational operations has transformed knowledge management (KM) practices, providing opportunities to enhance decision-making, innovation and efficiency. This study explores the adoption and impact of AI on KM practices in Saudi Arabia, focusing on the alignment of these advancements with the Kingdom’s Vision 2030 objectives for economic diversification and innovation-driven growth. Using a quantitative methodology, data were collected from management in private and public organisations to analyse the perceptions, challenges and opportunities of adopting AI for KM. While AI tools significantly enhance knowledge sharing, collaboration and the accuracy of knowledge repositories, the findings reveal that AI adoption is hindered by challenges such as limited technical expertise, high costs and resistance to change. The data underscore a strong expectation that AI-driven KM will become essential for maintaining competitiveness in the next decade. Additionally, organisational managers highlight the role of AI in fostering a culture of innovation and entrepreneurship, crucial for achieving the strategic goals of Vision 2030. This research provides actionable insights for policymakers and business leaders, identifying critical enablers of AI adoption, including investments in digital infrastructure, skill development and change management strategies. By addressing these barriers, organisations can optimise the integration of AI to support sustainable development and innovation. The study contributes to the growing body of literature on AI and KM in emerging economies, offering practical recommendations that bridge the gap between technology-driven initiatives and strategic objectives.