Small companies to create jobs in India in future, AI may make big firms net job losers: Nilekani

TEXT START: Nandan Nilekani, a co-founder of Infosys, said on Thursday that millions of small businesses, not big corporations, would create jobs in India in the future, claiming that artificial intelligence (AI) would make highly structured companies more susceptible to automation.

The Dissection

The text reframes AI-driven labor displacement as a shift from large firms to small firms. It correctly identifies that standardized corporate workflows are easier to automate, then smuggles in the comforting conclusion that employment will simply relocate elsewhere.

The Core Fallacy

It equates smaller firms with durable human employment. Small businesses may temporarily absorb labor because workers perform multiple roles, but AI tools will diffuse into those firms as competition intensifies. Multi-role work is not a permanent moat; it is a bundle of tasks waiting to be compressed.

The proposal also confuses business formation with net job creation. Credit, deregulation, ONDC, Account Aggregator, and language-based AI can expand enterprise activity without restoring the mass employment–wage–consumption circuit. They may create more firms while producing more precarious, low-margin, disguised unemployment.

Hidden Assumptions

• AI remains concentrated in large, highly organized companies.
• Small firms will resist automation rather than adopt it to survive.
• Every new small enterprise adds net employment instead of redistributing existing work.
• Access to credit and markets creates labor demand automatically.
• “Jobs” means stable, economically necessary employment rather than survival activity.
• Productivity gains will flow back into broad wages and consumption.

These assumptions fail under the Discontinuity Thesis. The relevant question is not whether small firms exist, but whether humans remain necessary to their production.

Social Function

This is partial truth used as transition management and elite self-exoneration. It acknowledges the first wave of displacement while presenting entrepreneurship policy as a substitute for solving the ownership problem. It turns a structural collapse into a program of encouraging millions to compete inside the shrinking carcass.

The Verdict

Nilekani gets the sequence partly right and the outcome wrong. Big firms may become net job losers first. Small firms may create temporary niches afterward. But once AI becomes cheap and ubiquitous, fragmentation will not save mass employment; it will spread automation, insecurity, and competitive exhaustion downward. The text describes redistribution of the dying labor market, not its recovery.