Indian IT and Corporate Sectors Face AI Disruption as Reskilling Hurdles and Job Pressures Mount

Artificial intelligence is driving a structural shift across India’s corporate and technology landscape, presenting a complex mix of productivity promises, headcount rationalisation, and deep reskilling challenges. While proponents anticipate massive efficiency gains and high-paying specialist roles, multiple research findings indicate substantial risks to traditional roles, particularly at the entry level, alongside widespread corporate hesitation regarding returns on investment.

What Happened

India’s leading IT companies have already begun adjusting their workforces in response to macroeconomic headwinds and technological disruption. During FY26, the combined headcount of the top five Indian IT service providers—Tata Consultancy Services (TCS), Infosys, HCLTech, Wipro, and Tech Mahindra—contracted by 6,981 employees, contrasting sharply with an expansion of 12,798 workers in the preceding year. This contraction was largely propelled by 23,000 job reductions at TCS alongside decelerating growth across other major firms.

Government and independent projections outline further workforce contraction if talent initiatives lag. Think tank NITI Aayog estimates that tech sector employment could drop from 7.5 to 8 million in 2023 down to 6 million by 2031, while customer experience positions could decline from 2–2.5 million to 1.8 million over the same timeframe. The think tank notes that up to 60 percent of formal sector jobs in India remain vulnerable to automation unless comprehensive reskilling takes place. Furthermore, Bhaskar Chakravorti, Dean of Global Business at Tufts University’s Fletcher School, projects a net loss of nearly 2 million Indian jobs over the next five years, warning that approximately 3 million gross jobs are at risk, translating to an estimated $12 billion annual loss in wages.

Key Highlights

• IT Headcount Declines: The top five IT firms recorded a net reduction of 6,981 employees in FY26, heavily influenced by 23,000 exits at TCS.
• Long-Term Workforce Projections: NITI Aayog projects tech jobs could decrease by up to a fourth by 2031 without substantial workforce retraining.
• Uneven Enterprise Adoption: An AIM Research study of India’s top 35 listed firms found 19 in operational stages, 11 scaling deployments, and two—Reliance Industries and HDFC Bank—running native transformation operations.
• Pilot Stage Bottlenecks: A CIO & Leader survey of over 300 tech leaders revealed that more than 60 percent of firms remain in pilot stages, with 57 percent unable to identify measurable returns on investment.
• Entry-Level Contraction: An Icrier survey of 651 IT companies indicated that 55 percent observed entry-level job declines over two years, with 65 percent reporting hiring reductions in junior roles due to AI.
• Opposing Job Data: A Nomura study noted that between 2023 and August 2026, India added 83,100 AI-related jobs while losing 32,921 across AI roles.

Why This Matters

The transition highlights an emerging divergence between digital frontrunners and traditional enterprises. In financial services, institutions such as HDFC Bank, ICICI Bank, State Bank of India, and Bajaj Finance are outpacing public sector insurers and smaller non-banking financial companies. Similar gaps appear in telecommunications, where Reliance Jio and Bharti Airtel lead ahead of Vodafone Idea, as well as in pharmaceuticals and automotive sectors where large conglomerates dominate implementation.

Despite widespread corporate interest, retraining the existing workforce faces significant financial hurdles. Icrier’s research found that 68 percent of companies view the substantial cost of retraining and uncertain returns on investment as major barriers. Industry observer Shiv Shivakumar noted that retraining creates a viable business case during periods of rapid corporate growth, but becomes difficult to justify when AI delivers modest single-digit or low double-digit growth. Additionally, Chakravorti pointed out that organisations typically retrain retained staff rather than displaced workers, with AI disproportionately impacting higher-earning and mid-career positions where re-skilling proves complex.

What to Watch Next

Industry analysts expect demand to rise in critical technical domains created by AI expansion. Venkatesh Bala, president of Bala Consulting and former Columbia University adjunct professor, points out that global enterprises in the US and UK will require specialised services in cybersecurity, data engineering, AI governance, and agent supervision, positioning Indian IT vendors to transition toward high-value professional services. However, Bala cautions that this transition could widen the wage and opportunity gap between elite AI experts and conventional IT workers.

Concurrently, economists are recommending policy and reporting changes, urging corporations to provide transparent disclosures of jobs displaced or put at risk by automation on their formal balance sheets to ensure clear tracking of AI’s labour market effects.

Frequently Asked Questions

How is AI affecting entry-level tech hiring in India?

According to an Icrier survey of 651 IT companies, 55 percent of businesses reported a reduction in entry-level positions over the past two years, and 65 percent stated that AI adoption led directly to reduced entry-level hiring.

Are overall job losses confirmed across the IT sector?

Findings remain mixed. While NITI Aayog, Tufts University researchers, and corporate executives warn of gross job displacements ranging from 2 million to 40 percent of roles, studies by Icrier and Nomura found no immediate proof of broad-scale net job destruction, with Nomura recording 83,100 AI positions added against 32,921 roles lost between 2023 and August 2026.

Why are Indian companies struggling with AI-driven reskilling?

Research indicates that 68 percent of companies consider high retraining expenses and unpredictable returns on investment to be primary obstacles. Furthermore, analysts note that companies tend to invest in employees they plan to retain rather than those whose jobs are eliminated.

Source: Business Standard reporting, including data from NITI Aayog, AIM Research, Icrier, Nomura, and CIO & Leader.