This study examines the intersection of Artificial Intelligence (AI), political accountability, and administrative efficiency as critical pathways toward achieving good governance in the digital era. With governments across the globe increasingly integrating digital technologies into public administration, AI has emerged as a transformative tool capable of enhancing transparency, efficiency, and citizen engagement. The study adopts a qualitative approach, data derived from policy reports, institutional documents, and governance performance indicators. Findings reveal that AI contributes significantly to administrative efficiency by automating decision processes, optimizing resource allocation, and improving service delivery speed and accuracy. Moreover, AI-driven data analytics facilitates greater political accountability by enabling real-time monitoring of government activities, early detection of corruption risks, and evidence-based policymaking. However, challenges such as inadequate digital infrastructure, ethical concerns, data privacy issues, and limited technical capacity hinder effective AI adoption in many developing countries. The study concludes that integrating AI into governance systems requires a balanced policy framework that emphasizes transparency, inclusivity, and ethical oversight. It recommends that governments invest in AI literacy, institutional capacity building, and regulatory reforms to ensure equitable and responsible deployment of AI technologies in governance. By aligning AI innovation with democratic principles and administrative reforms, nations can foster more accountable, efficient, and responsive governance structures capable of addressing 21st-century challenges.