India AI leadership took focus after Tata Chairman N Chandrasekaran said artificial intelligence will create jobs and shift workers toward higher-value roles, according to Economic Times HRWorld, “AI will employ more workers, not replace jobs,” published on February 19, 2026.
India AI leadership and the Future of work with AI
Chandrasekaran said AI will employ more workers instead of replacing them. He explained that companies are shifting employees from repetitive assignments to advanced functions with AI support. He described this transition as a core pillar of India AI leadership and a strategic response to technological change.
He added that AI improves productivity and strengthens economic output across sectors. As a result, the Future of work with AI will centre on complex analysis, creative problem-solving, and decision-making roles. Workers who once focused on data collection now operate as “calibers,” using AI tools to refine models, validate outputs, and improve accuracy.
He stressed that organisations must invest in training and digital skills to unlock these gains. Therefore, companies are redesigning workflows, integrating AI systems into daily operations, and encouraging collaboration between human teams and intelligent tools.
Responsible AI development gains momentum
Chandrasekaran stated that India AI leadership depends on responsible and secure AI development. He highlighted India’s deep talent pool and its strong culture of analytical problem-solving. He also pointed to collaboration between industry, academia, and startups as a structural advantage.
He linked the country’s AI progress to continued investments in semiconductor manufacturing, green energy infrastructure, and the national AI mission.According to him, this alignment of policy, capital, and innovation strengthens India’s ability to shape global AI standards. As these sectors grow together, they create an integrated ecosystem that supports scale and reliability.
Chandrasekaran described AI as multidimensional and referred to it as the “infrastructure of intelligence.” He explained that AI operates across data, models, platforms, and applications. Therefore, industries ranging from manufacturing to healthcare are embedding AI into core systems.
