Beyond Chatbots: India’s AI Opportunity Is Moving Into Workflows and Robotics

India’s next phase of artificial intelligence adoption may be shaped less by consumer chatbotsalone and more by enterprise workflows and machines operating in the physical world. Recent developments across software and robotics show AI moving deeper into business processes while also creating new roles for people who operate, supervise and maintain intelligent machines.

At the Moneycontrol Startup Conclave 2026, Sarvam cofounder Pratyush Kumar highlighted large-scale applications such as the digitisation of about four crore LIC forms using custom AI models and work aimed at reaching three crore farmers at low cost. Emergent founder Mukund Jha said more than 30,000 businesses use the company’s AI products daily, while persistent AI agents could become an important enterprise use case. These are company and founder-reported figures rather than independent measures of industry-wide adoption.

A parallel shift is happening in physical AI—the use of intelligent systems that interact directly with real-world environments through robots and automation. Companies including Humyn Labs, Neo Cambrian AI and Modal Robotics are seeing demand for roles such as teleoperators, robot operators, field workers, data annotators, supervisors and robotics technicians. The work is moving beyond simply collecting training data toward actively operating and maintaining machines.

That changes the employment conversation around AI. Some tasks may become increasingly automated, but physical AI systems still require humans for supervision, exception handling, field deployment, training and maintenance. At the same time, enterprise AI is changing software work itself: Jha said AI now produces a large majority of code shipped by Emergent, while warning that human oversight remains important to prevent low-quality output.

Taken together, the two trends suggest a broader opportunity for Indian startups. The competitive question may increasingly be whether AI can reduce costs, complete real workflows and operate reliably alongside people, rather than simply generate better conversational responses. If adoption deepens, India’s AI workforce could expand to include notonly model engineers, but also operators, technicians, implementation specialists and domain experts working where software meets the physical economy.