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AWS Survey: GenAI Adoption Soars in India, But Skills Gap Persists Despite Training

Deepika Rana / Updated: Jun 20, 2025, 14:05 IST
AWS Survey: GenAI Adoption Soars in India, But Skills Gap Persists Despite Training

India Leads in GenAI Adoption Across the Globe

A recent survey by Amazon Web Services (AWS) has found that 95% of organizations in India are already using generative artificial intelligence (GenAI)—placing the country ahead of the global average. This widespread adoption cuts across industries such as IT, manufacturing, retail, healthcare, and finance, highlighting India’s increasing role as a global AI adopter.

Training Programs Proliferate, But Not Enough to Close the Gap

Despite high adoption, the AWS report warns that training alone is insufficient to address the existing skills gap. Many organizations continue to face challenges in translating GenAI enthusiasm into productivity and business value. While 93% of employers plan to train their teams in AI capabilities, only 15% believe current efforts are enough to meet operational needs.

India’s Dual Reality: Enthusiastic but Underprepared

The report paints a paradoxical picture: India is both a leader in adoption and a victim of capability shortfall. The demand for AI-skilled professionals far outpaces supply. With GenAI evolving rapidly, traditional training programs can’t keep up, leaving businesses with underutilized AI potential.

Call for a Holistic Approach Beyond Training

AWS experts suggest that a broader strategic framework—including mentorships, hands-on experience, integration with business processes, and leadership-driven AI initiatives—is necessary to fully leverage GenAI capabilities. The survey also highlights the need for cross-functional collaboration between tech and business teams to avoid isolated AI efforts.

Government and Private Sector Must Collaborate

To bridge the skills divide, collaborative action from industry leaders and government bodies is crucial. India’s talent pool remains one of the world’s strongest, but systemic reforms in curriculum design, real-world project exposure, and scalable AI infrastructure are vital for sustaining long-term growth.