Nomura Economist: India Has Narrow Window to Turn AI into Jobs

India's labor market faces a "K-shaped" split under artificial intelligence, and policymakers have only a narrow window to convert that disruption into net job growth, Nomura's chief economist for Asia excluding Japan argues in a new analysis.

Sonal Varma, writing in Nikkei Asia on October 7, 2026, frames India's AI challenge as a race between two curves. The K-shaped scenario sees AI lift high-skill workers while displacing those in routine roles. The alternative, which she calls the "J-curve opportunity," is a short-term dip in employment followed by stronger gains as new roles emerge.

What separates the K from the J?

The difference, in Varma's framing, is not technology itself. It is whether policy acts fast enough.

Her argument lands at a moment when India's job creation is under intense scrutiny. Varma's analysis points to the structural risk that AI-driven productivity gains concentrate among firms and workers already at the top of the skills distribution, while entry-level and routine positions absorb the shocks.

For an individual worker, the K-versus-J distinction has direct consequences:

• In a K-shaped outcome, wage growth and job security diverge sharply by skill level, and mid-career switching becomes harder as routine roles shrink.
• In a J-curve outcome, a transitional period of displacement gives way to new demand for AI-complementary skills, expanding the set of viable roles.

Why the window is narrow

Varma, who leads Nomura's economics coverage for Asia excluding Japan, stresses that the timing of policy intervention determines which curve India follows. Measures taken before AI adoption saturates key sectors — rather than after — can shape whether displaced workers are reabsorbed into growing occupations or left behind.

The column appears alongside related reporting in Nikkei Asia on India's employment pressures, including coverage of "jobless" growth concerns and the country's push to build data-center ecosystems as job engines.

What it means for India's workforce

Varma's thesis implies that the market position of Indian professionals over the next several years depends less on aggregate GDP growth than on the pace of skill transitions. Workers whose tasks complement AI tools sit on the upper arm of the K; those performing automatable routine tasks face the lower arm unless reskilling reaches them in time.

The policy window she identifies is the period in which training systems, education reform, and labor-market institutions can still shape adoption patterns before they harden into permanent divergence.

Varma's conclusion is a call to act within that window: whether India's AI transition traces a K or a J will be decided by choices made now, not by the technology alone.