Corruption remains a persistent global problem, and many Central Asian states have demonstrated limited advancement or even deterioration in their efforts to address it. Although Kazakhstan and Uzbekistan have achieved measurable progress, countries such as Turkmenistan, Tajikistan, and Kyrgyzstan have seen notable setbacks, highlighting ongoing institutional and governance deficiencies. This study emphasizes the growing relevance of artificial intelligence as a potential instrument in anti-corruption initiatives. Through capabilities such as large-scale data analysis, anomaly detection, risk prediction, and the automation of bureaucratic procedures, AI can help minimize opportunities for misconduct and strengthen transparency. The paper also examines Uzbekistan‘s current anti-corruption reforms, particularly the digitalization of administrative processes, while noting that the integration of advanced AI tools remains at an early stage. Nevertheless, the adoption of AI introduces its own risks, including algorithmic bias, data privacy issues, and the possibility of exploitation by authorities. To be effective, AI-driven anti-corruption frameworks must be supported by robust governance mechanisms, openness, accountability, and ongoing evaluation. Ultimately, the research stresses that meaningful cooperation between state institutions, civil society organizations, and the private sector is crucial to fully realize AI‘s potential while ensuring ethical, equitable, and trustworthy approaches to fighting corruption.