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3 Million Indian Jobs at Risk: AI's Grim Math

3 Million Indian Jobs at Risk: AI's Grim Math

A Rediff report aggregates multiple studies to paint a stark picture of AI's impact on Indian jobs. NITI Aayog projects tech jobs could drop by a quarter by 2031 without reskilling, while top five IT firms cut 6,981 jobs in FY26, reversing previous growth. Experts warn of 25-40% job threat in 36 months, with nearly 3 million gross jobs at risk and $12 billion in lost wages. However, AI is also creating demand in cybersecurity, data engineering, and AI governance, and some studies show net positive AI job creation. The report highlights a critical entry-level hiring decline, with 55% of companies reducing entry-level roles. Key signal: NITI Aayog estimates India's tech jobs could fall from 7.5-8 million to 6 million by 2031 without large-scale reskilling. For hiring leaders, this matters because for CHROs and TA leaders, this signals a structural shift: entry-level hiring is shrinking, and the traditional IT pyramid is inverting. The data from NITI Aayog and IT firms' headcount cuts provide hard numbers for workforce planning. The report underscores the urgency of reskilling, but also reveals that only 12% of companies see measurable ROI from AI, questioning the effectiveness of current AI strategies. Leaders must balance AI adoption with talent development, focusing on high-value skills like AI governance and cybersecurity to stay competitive. Teksands view: The numbers are stark, but the real signal is the entry-level collapse. If 55% of companies are cutting entry-level roles, the talent pipeline is drying up. Smart firms will double down on reskilling and create new entry points in AI-adjacent fields. The $12 billion wage loss is a wake-up call for workforce planning. Don't just cut costs—invest in the skills that will drive the next growth cycle.

Key fact

NITI Aayog estimates India's tech jobs could fall from 7.5-8 million to 6 million by 2031 without large-scale reskilling.

Why it matters

For CHROs and TA leaders, this signals a structural shift: entry-level hiring is shrinking, and the traditional IT pyramid is inverting. The data from NITI Aayog and IT firms' headcount cuts provide hard numbers for workforce planning. The report underscores the urgency of reskilling, but also reveals that only 12% of companies see measurable ROI from AI, questioning the effectiveness of current AI strategies. Leaders must balance AI adoption with talent development, focusing on high-value skills like AI governance and cybersecurity to stay competitive.

The Teksands point of view

The numbers are stark, but the real signal is the entry-level collapse. If 55% of companies are cutting entry-level roles, the talent pipeline is drying up. Smart firms will double down on reskilling and create new entry points in AI-adjacent fields. The $12 billion wage loss is a wake-up call for workforce planning. Don't just cut costs—invest in the skills that will drive the next growth cycle.

Read the original source at Rediff →

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