Bridging the Poverty Gap through Artificial Intelligence Approach: A Case of AI4EKonomi for Digital Inclusion in Malaysia

Abstract

Despite the rapid advancement of Artificial Intelligence (AI) transforming global economic systems, its benefits are still not evenly distributed across societies. In Malaysia, low-income communities continue to face barriers to digital participation due to limited digital literacy, infrastructural constraints and socio-economic challenges. This study introduces AI4EKonomi, an AI-driven framework designed to bridge the poverty gap through digital inclusion and economic empowerment. Grounded in Design Science Research (DSR) and employing a mixed-method approach, the model integrates data analytics, machine learning and socio-economic profiling to deliver personalized recommendations for digital entrepreneurship, skills training and employment. Although the AI4EKonomi system is still under development, preliminary analysis and user requirement studies suggest that AI-driven recommendations have strong potential to enhance digital engagement, improve socio-economic participation and support sustainable income generation among marginalized groups. The study highlights AI’s transformative role in advancing inclusive growth, aligning with Malaysia’s MyDIGITAL Blueprint and the United Nations Sustainable Development Goals (SDGs) on poverty reduction and inequality. The AI4EKonomi framework offers a scalable, data-driven solution for policymakers and practitioners who are seeking to leverage AI for equitable participation in the digital economy.