A new EY report finds 76% of Indian business leaders want AI to deliver meaningful impact, and nearly half of companies have already seen gains, underscoring the need for AI translators who bridge business problems with the right tools and deliver measurable results rather than focusing on pure coding.

Analysts estimate AI could contribute as much as 18% of India's economy by 2035 and act as the main growth engine for sectors like retail, agriculture, and banking, with the AI market projected to soar from about $20 billion to as much as $1 trillion.

Applications span fintech, manufacturing, healthcare and MSMEs, featuring AI-driven productivity gains, better diagnostics, AI vision for quality control and scheduling, personalized offers in kirana stores, vernacular farmer advisory, and women entrepreneurs scaling sales through domain-specific AI tools.

India is rapidly expanding its AI engineering talent pool, posting a 33% rise in AI skills in 2025—2.5 times the global average—but employability remains a hurdle, with only about 56% of graduates deemed job-ready after retraining and roughly 20,000 workers deployed in AI or automation roles that year.

The article argues for a broad base of AI translators across domains to bridge capability gaps and unlock real deployment benefits for the masses, reshaping the business landscape.

The vast market opportunity includes more than 150 million MSMEs, 140 million farmers, and about 25 million retail outlets, offering immense potential to scale AI translators and drive transformative impact across sectors.

Business demand for AI is rising, with 92% of Indian knowledge workers using AI tools daily, yet only about half have the adaptability needed for AI-driven roles, revealing a gap between tool use and organizational transformation.

Core AI translators should focus on business processes, be capable of redesigning workflows with AI, skilled in analytics and dashboards, and exposed to domain-relevant AI tools and practical internships to grasp real business problems.