ARTIFICIAL INTELLIGENCE DEVELOPMENT IN UZBEKISTAN: STRATEGIC VISION, ECOSYSTEM GROWTH, AND EMERGING APPLICATIONS

dc.contributor.authorNurbek Khatamov
dc.date.accessioned2025-12-28T12:53:30Z
dc.date.issued2025-09-11
dc.description.abstractThis article explores the rapid development of artificial intelligence (AI) in Uzbekistan, driven by national strategies, institutional reforms, and growing international cooperation. Following the approval of the “AI Development Strategy – 2030,” Uzbekistan has committed to building a robust digital ecosystem with a focus on AI research, education, infrastructure, and public-private sector applications. Key initiatives include the establishment of AI labs, training of over a million AI specialists, creation of high-performance computing infrastructure, and integration of AI technologies in governance, finance, transportation, and agriculture. Despite facing challenges in regulation and workforce development, Uzbekistan demonstrates strong political will and cross-sector collaboration to position itself as a regional AI innovation hub. The article provides a comprehensive analysis of policy goals, current implementations, and future outlook for AI in the country.
dc.formatapplication/pdf
dc.identifier.urihttps://usajournals.org/index.php/4/article/view/890
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/5472
dc.language.isoeng
dc.publisherModern American Journals
dc.relationhttps://usajournals.org/index.php/4/article/view/890/962
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.sourceModern American Journal of Business, Economics, and Entrepreneurship; Vol. 1 No. 6 (2025); 19-23
dc.subjectUzbekistan, Artificial Intelligence, AI Strategy, Digital Economy, Innovation, AI Ecosystem, Public Sector AI, ICT Development, AI Education, Central Asia, Smart Governance, Emerging Technologies.
dc.titleARTIFICIAL INTELLIGENCE DEVELOPMENT IN UZBEKISTAN: STRATEGIC VISION, ECOSYSTEM GROWTH, AND EMERGING APPLICATIONS
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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