Artificial intelligence (AI) is gradually being integrated into government operations, promising to enhance decision-making, streamline processes, and improve services for citizens. Despite the potential benefits, AI adoption in the public sector lags behind the private sector due to challenges such as data privacy concerns, varying digitization levels, and complex regulatory environments. AI applications in government range from improving public services in healthcare, education, and transportation to supporting data-driven decision-making and automating administrative tasks. Generative AI specifically offers advanced data processing and content creation capabilities, facilitating more natural interactions with machines. However, the implementation of AI in government requires robust governance frameworks to ensure ethical deployment, fairness, and transparency, while addressing security concerns associated with handling sensitive data. Efforts such as the development of AI governance frameworks and the establishment of ethical standards are underway to promote responsible AI usage. As government agencies worldwide explore AI's potential, strategic implementation, clear regulations, and real-time data visibility are essential for overcoming obstacles and fostering innovation.