CHALLENGES AND OPPORTUNITIES OF AI INTEGRATION IN MANUFACTURING ENTERPRISES OF CENTRAL ASIA

Mualliflar

  • Rikhsiboyev Nozimbek Abdurasul ugli Tashkent International University, PhD Muallif

;

artificial intelligence; manufacturing; Central Asia; Uzbekistan; Industry 4.0; digital transformation; emerging economies; SMEs.

Abstrak

Artificial intelligence (AI) has become a defining technology of the fourth industrial revolution, offering manufacturing enterprises substantial gains in productivity, quality, and resource efficiency. For the emerging economies of Central Asia: Kazakhstan, Uzbekistan, Kyrgyzstan, Tajikistan, and Turkmenistan - the integration of AI into manufacturing presents both significant opportunities and considerable challenges. This paper reviews the current state of manufacturing digitalization in the region and analyzes the two-sided nature of AI adoption. On the opportunity side, AI enables process optimization, predictive maintenance, quality improvement, and a potential “leapfrogging” of legacy industrial stages, reinforced by national strategies such as “Digital Uzbekistan 2030” and by growing foreign investment. On the challenge side, the region faces fragmented digital infrastructure, scarce high-quality industrial data, shortages of AI specialists, limited financing - especially among small and medium-sized enterprises (SMEs) - and an early-stage cybersecurity and standards environment. A synthesis table maps the principal challenges to corresponding opportunities and enabling responses. The paper concludes that AI integration in Central Asian manufacturing is feasible and strategically important, but contingent on a sequenced approach that first builds foundational infrastructure, data, and human-capital capabilities before advanced applications are pursued.

Iqtiboslar

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Nashr qilingan

2026-07-07

Iqtibos keltirish tartibi

Rikhsiboyev, N. (2026). CHALLENGES AND OPPORTUNITIES OF AI INTEGRATION IN MANUFACTURING ENTERPRISES OF CENTRAL ASIA. Zamonaviy Dunyoda Ijtimoiy Fanlar, 5(16), 21-24. https://www.in-academy.uz/index.php/ZDIF/article/view/54454
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