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"Genpact Flags Slower Hiring as AI Cuts IT Workload, Raises Skill Bar"

Genpact has said artificial intelligence is beginning to reduce the workload across IT and business services, a shift that is likely to curb future job additions even as demand for higher-value work rises. NV 'Tiger' Tyagarajan said employment growth in India is already easing and that the pace of workforce expansion will not match past years.

Genpact Flags Slower Hiring as AI Cuts IT Workload, Raises Skill Bar

R

RDU Global Wire

Markets, IPOs & Wealth Desk

New Delhi, India 01 Nov 2026, 08:00 AM IST•5 min read

Genpact has said artificial intelligence is beginning to reduce the workload across IT and business services, a shift that is likely to curb future job additions even as demand for higher-value work rises. NV 'Tiger' Tyagarajan said employment growth in India is already easing and that the pace of workforce expansion will not match past years.

Genpact has signalled a structural shift in India's technology and services labour market, saying artificial intelligence is starting to reduce the amount of work required in parts of the IT industry while also slowing the pace of hiring. The comments from NV 'Tiger' Tyagarajan, the company's chief executive, underscore a broader industry transition in which productivity gains from automation are beginning to reshape staffing needs rather than simply augment them.

Tyagarajan said the employment growth rate has already started to dip, and that the percentage addition of employees in India will not be the same as in previous years. His remarks reflect a growing view among global services firms that AI is not only changing how work is delivered, but also how many people are needed to deliver it. For an industry long built on labour arbitrage and scale, the shift could prove consequential for recruitment, wage structures and long-term operating models.

AI Reshapes Staffing

The immediate implication of Genpact's assessment is that routine, repetitive and process-heavy tasks are increasingly vulnerable to automation. In sectors such as IT services, business process management and enterprise operations, AI tools can handle a growing share of work that once required large teams. That does not eliminate demand for human workers, but it changes the mix of roles, with less emphasis on volume hiring and more on specialised, higher-value functions.

Tyagarajan's comments also point to a more selective labour market. As companies deploy AI across workflows, they are likely to seek employees with stronger analytical, technical and domain-specific skills. This means the workforce profile required by the industry is moving away from entry-level, process-oriented roles and toward employees who can design, supervise and improve AI-enabled systems. In practical terms, that could slow the traditional hiring engine that has supported India's services sector for decades.

India Hiring Growth Slows

The warning comes at a time when India's technology and outsourcing ecosystem is already navigating softer global demand, cautious client spending and pressure to improve margins. For many firms, AI offers a route to efficiency, but it also introduces a difficult trade-off: lower delivery costs may come with slower headcount growth. That dynamic could be especially visible in India, where the services sector has been a major source of formal employment for graduates entering the white-collar economy.

Tyagarajan's observation that the percentage addition of employees in India will not remain at past levels is significant because it suggests the slowdown is not merely cyclical. Instead, it may be a more durable change in the industry's labour intensity. If AI continues to compress the amount of manual effort needed for each project or client engagement, firms may be able to grow revenue without expanding payroll at the same pace.

That shift could have wider implications for compensation, campus recruitment and the structure of entry-level jobs. Companies may hire fewer freshers, invest more heavily in reskilling and place greater value on employees who can work alongside AI systems. For India's large pool of engineering and management graduates, that could mean a tougher transition into the workforce unless education and training adapt quickly to the new requirements.

Higher Skills, Lower Volume

The Genpact chief's remarks also highlight a central tension in the AI era: productivity gains may strengthen corporate efficiency, but they can also reduce the labour absorption capacity of a sector that has historically been a major employer. The industry's next phase may therefore be defined less by rapid headcount expansion and more by productivity-led growth, where fewer employees produce more output with the help of automation.

For investors, the message is twofold. On one hand, AI can improve margins and support operating leverage. On the other, slower employment growth may signal that the traditional scale-based expansion model is being rewritten. That could affect how markets assess long-term growth prospects for IT and services companies, especially those with large delivery workforces.

Genpact's comments are likely to resonate beyond the company itself, because they capture a broader industry reality: AI is no longer a distant productivity tool, but a force already influencing staffing decisions. As firms race to adopt it, the Indian IT sector may need to balance efficiency with employment creation, even as the demand for a more skilled workforce becomes increasingly non-negotiable.

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Reported by RDU Global Correspondent. Formatted and verified using real-time institutional and journalistic wire feeds. Independent reporting adhering to the RDU Global Editorial Code of Conduct.

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