India’s AI talent pool has grown to 9.2 lakh professionals, comprising 2.57 lakh in core AI roles and 6.63 lakh in embedded positions. Hiring demand of 3.5 lakh roles has shifted from experimentation to execution, with strong focus on governance, AgentOps, integration, and scaling AI in business workflows. GCCs and IT services are prioritizing reusable platforms and enterprise integration. Non-tech functions like operations now drive significant demand. This maturation demands talent skilled in production-grade AI deployment and governance. Companies should invest in role-specific upskilling to bridge supply-demand gaps and accelerate value realization from AI initiatives.
India’s AI talent pool has grown to 9.2 lakh professionals, comprising 2.57 lakh in core AI roles and 6.63 lakh in embedded positions. Hiring demand of 3.5 lakh roles has shifted from experimentation to execution, with strong focus on governance, AgentOps, integration, and scaling AI in business workflows. GCCs and IT services are prioritizing reusable platforms and enterprise integration. Non-tech functions like operations now drive significant demand. This maturation demands talent skilled in production-grade AI deployment and governance. Companies should invest in role-specific upskilling to bridge supply-demand gaps and accelerate value realization from AI initiatives.