Nilekani: AI Will Cut Big-Company Jobs, Small Firms Will Absorb Them
Speaking at the Global Fintech Fest in Mumbai on 10 September, Infosys Chairman Nandan Nilekani said the biggest employment risk from AI is that large companies will use it to cut headcount, and that India's answer is not more big-company hiring but millions of small businesses. He argued that cheap digital infrastructure and AI agents now let a small firm access capabilities that were previously available only to large enterprises, making small-business jobs 'safer' and more AI-proof. Nilekani also pushed for public-chain infrastructure for tokenised assets and inclusive systems that reach everyone, not just a few. The remarks come from the chairman of India's second-largest IT services firm, which itself is rebalancing its pyramid toward AI-led delivery. Key signal: Infosys Chairman Nandan Nilekani said large companies can apply AI effectively to reduce jobs, and India's employment resilience will come from millions of small businesses rather than a few large employers. For hiring leaders, this matters because this is a rare public admission from the top of Indian IT that AI-led efficiency at large firms will compress headcount, not expand it. For CHROs and TA heads at IT services and GCCs, it reframes the talent question: the growth in technology employment may shift to small firms, product startups and captives rather than the traditional large-employer pyramid. That has direct consequences for campus pipelines, bench economics, and where senior AI talent actually wants to work. It also signals that large employers will need to justify hiring with revenue-linked roles, not volume. Teksands view: Nilekani is describing the market most Indian IT leaders privately accept but rarely say out loud. If large firms are net job compressors in the AI era, TA strategy at big employers has to shift from volume hiring to scarce, high-leverage roles, while real hiring growth moves to small firms and product teams. Recruiters who only run bulk pipelines will struggle. The winners will hire a handful of AI-native engineers who make ten average hires unnecessary, and serve the small-business segment Nilekani says will absorb the jobs.
Key fact
Infosys Chairman Nandan Nilekani said large companies can apply AI effectively to reduce jobs, and India's employment resilience will come from millions of small businesses rather than a few large employers.
Why it matters
This is a rare public admission from the top of Indian IT that AI-led efficiency at large firms will compress headcount, not expand it. For CHROs and TA heads at IT services and GCCs, it reframes the talent question: the growth in technology employment may shift to small firms, product startups and captives rather than the traditional large-employer pyramid. That has direct consequences for campus pipelines, bench economics, and where senior AI talent actually wants to work. It also signals that large employers will need to justify hiring with revenue-linked roles, not volume.
The Teksands point of view
Nilekani is describing the market most Indian IT leaders privately accept but rarely say out loud. If large firms are net job compressors in the AI era, TA strategy at big employers has to shift from volume hiring to scarce, high-leverage roles, while real hiring growth moves to small firms and product teams. Recruiters who only run bulk pipelines will struggle. The winners will hire a handful of AI-native engineers who make ten average hires unnecessary, and serve the small-business segment Nilekani says will absorb the jobs.
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