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AIs Dual-Impact on Jobs: Indias Chief Economic Adviser Warns Against Over-Hype
The chief economic adviser (CEA) of India, V Anantha Nageswaran, told ANI on 14 June 2026 that artificial intelligence (AI) will affect both cognitive and skill‑based jobs, a shift that could be deeper than past technological changes.
Nageswaran explained that AI is not limited to routine or manual tasks. Instead, it can reshape knowledge‑based professions, raising concerns in sectors such as IT services, research, content creation and analysis. He added that the speed and scale of AI diffusion will determine the real‑world impact on employment.
The CEA cautioned that the current debate is driven more by fear than by evidence. He said that “right now, there is far too much fear and far too little information about the AI threat.” He argued that much of the global narrative around AI‑driven job losses is influenced by investment cycles and hype rather than grounded labour‑market evidence.
While some entry‑level and routine tasks—such as coding and data processing—may be affected, history shows that technological revolutions often lead to job transformation rather than mass unemployment. Nageswaran cited previous waves of automation, including computerisation and ATM deployment, which were expected to eliminate jobs but ultimately expanded productivity and created new categories of work.
The adviser highlighted that AI is already delivering productivity gains in sectors such as healthcare, education and radiology. In these fields, AI is augmenting human capability rather than fully replacing professionals. In several cases, demand for skilled professionals has even increased as efficiency improves.
He acknowledged that young professionals’ fears are understandable given the rapid evolution of AI tools and their integration into workplaces. The challenge for policymakers, he said, is to ensure that education and skilling systems evolve in tandem with technological change.
On the adaptation of the new technology, the CEA said India’s long‑term advantage will depend on its ability to build a workforce equipped with new‑age skills, including trade skills and domain expertise that are less easily replaced by machines.
He underscored that while AI will be disruptive, its impact will depend on how societies choose to integrate and regulate it, rather than the technology alone.
In summary, the CEA’s remarks suggest that AI’s influence on the labour market will be significant but not uniformly destructive. The extent of disruption will hinge on the pace of adoption, the nature of the tasks involved, and the responsiveness of education and policy frameworks. As AI tools become more widespread, the focus will shift from fear to practical measures that align workforce development with emerging skill requirements.
The current situation points to a gradual transformation of job roles rather than an abrupt displacement. No new product launches, model releases, or regulatory developments were announced in the interview. The key unresolved question remains how quickly education systems and industry can adapt to the new skill mix demanded by AI‑enabled work.
Nageswaran explained that AI is not limited to routine or manual tasks. Instead, it can reshape knowledge‑based professions, raising concerns in sectors such as IT services, research, content creation and analysis. He added that the speed and scale of AI diffusion will determine the real‑world impact on employment.
The CEA cautioned that the current debate is driven more by fear than by evidence. He said that “right now, there is far too much fear and far too little information about the AI threat.” He argued that much of the global narrative around AI‑driven job losses is influenced by investment cycles and hype rather than grounded labour‑market evidence.
While some entry‑level and routine tasks—such as coding and data processing—may be affected, history shows that technological revolutions often lead to job transformation rather than mass unemployment. Nageswaran cited previous waves of automation, including computerisation and ATM deployment, which were expected to eliminate jobs but ultimately expanded productivity and created new categories of work.
The adviser highlighted that AI is already delivering productivity gains in sectors such as healthcare, education and radiology. In these fields, AI is augmenting human capability rather than fully replacing professionals. In several cases, demand for skilled professionals has even increased as efficiency improves.
He acknowledged that young professionals’ fears are understandable given the rapid evolution of AI tools and their integration into workplaces. The challenge for policymakers, he said, is to ensure that education and skilling systems evolve in tandem with technological change.
On the adaptation of the new technology, the CEA said India’s long‑term advantage will depend on its ability to build a workforce equipped with new‑age skills, including trade skills and domain expertise that are less easily replaced by machines.
He underscored that while AI will be disruptive, its impact will depend on how societies choose to integrate and regulate it, rather than the technology alone.
In summary, the CEA’s remarks suggest that AI’s influence on the labour market will be significant but not uniformly destructive. The extent of disruption will hinge on the pace of adoption, the nature of the tasks involved, and the responsiveness of education and policy frameworks. As AI tools become more widespread, the focus will shift from fear to practical measures that align workforce development with emerging skill requirements.
The current situation points to a gradual transformation of job roles rather than an abrupt displacement. No new product launches, model releases, or regulatory developments were announced in the interview. The key unresolved question remains how quickly education systems and industry can adapt to the new skill mix demanded by AI‑enabled work.
