• MISS. VIJAYA G O
• DR. RAMESH O OLEKAR2

The Indian garment export sector plays a critical role in the national economy, significantly contributing to employment generation, industrial output, and foreign exchange earnings. Amidst rapid technological advancements and escalating global competition, the integration of Artificial Intelligence (AI) and strategic government policy interventions have emerged as vital drivers of export growth. This study investigates the synergistic impact of AI adoption and government initiatives on India’s garment exports between 2015 and 2024. Employing a quantitative approach based on secondary data, the research utilizes trend and correlation analyses to assess the relationship between technological progress and policy support. Results demonstrate a strong alignment between AI adoption and government incentives (r = 0.986), although their individual correlations with export growth remain moderate. Prominent schemes such as the Technology Upgradation Fund Scheme (TUFS), Production Linked Incentive (PLI), and PM MITRA have cultivated a supportive ecosystem for digital innovation. Nonetheless, challenges persist, including uneven AI adoption across MSMEs and infrastructural deficiencies. The study offers valuable empirical insights for policymakers and industry stakeholders seeking to foster sustainable, innovation-driven export expansion.

Artificial Intelligence, Garment Exports, Government Policy, Digital Transformation, Export Competitiveness.

"ROLE OF GOVERNMENT POLICIES AND IMPACT OF ARTIFICIAL INTELLIGENCE IN BOOSTING GARMENT EXPORTS IN INDIA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.77-81, August-2025, Available :http://www.jetir.org/papers/JETIRHB06015.pdf

"ROLE OF GOVERNMENT POLICIES AND IMPACT OF ARTIFICIAL INTELLIGENCE IN BOOSTING GARMENT EXPORTS IN INDIA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. pp77-81, August-2025, Available at : http://www.jetir.org/papers/JETIRHB06015.pdf