AI Reshapes Demand
Artificial intelligence is beginning to alter the economics of India's IT services industry, with Genpact chairman and former chief executive NV 'Tiger' Tyagarajan saying workloads are likely to come down as automation takes over a growing share of routine tasks. The shift, he suggested, will not only change how technology firms deliver services, but also how they hire, train and deploy talent across their operations.
Tyagarajan's comments come at a time when the Indian technology sector is navigating a more cautious demand environment, with clients globally pressing for efficiency, faster delivery and lower costs. In that setting, AI is increasingly being positioned as both a productivity tool and a structural disruptor. While firms have long used software to streamline back-office functions, the current wave of generative and agentic AI is broader in scope, affecting coding, testing, documentation, customer support and process management.
According to Tyagarajan, the industry should expect a lower incremental addition of employees in India than in previous years. That marks a notable change for a sector that has historically been one of the country's most reliable engines of formal employment growth. For decades, technology services companies expanded headcount in tandem with revenue, building large delivery centres and scaling operations through labour-intensive models. AI, however, is now challenging that formula by allowing firms to do more with fewer people.
Hiring Pattern Shifts
Tyagarajan said employment growth rates have already started to dip, underscoring a broader recalibration in the sector. The implication is not necessarily a sudden collapse in hiring, but rather a slower and more selective expansion. Companies are likely to continue recruiting, but the mix of roles is expected to change, with greater emphasis on employees who can design, supervise and integrate AI systems rather than perform repetitive tasks that machines can increasingly handle.
This transition has important consequences for India, where the IT industry remains a major source of white-collar jobs and export earnings. A moderation in hiring could affect campus recruitment, entry-level opportunities and the traditional career ladder that has long drawn graduates into software and services firms. At the same time, the industry's need for advanced skills may intensify competition for talent in areas such as data engineering, machine learning, cloud architecture, cybersecurity and AI governance.
Tyagarajan's remarks also reflect a wider debate across global services industries: whether AI will primarily augment workers or replace them. In the near term, many companies are likely to pursue a hybrid model, using AI to improve productivity while retaining human oversight for complex, client-facing and judgement-heavy functions. But even in that scenario, the number of workers needed per unit of output may decline, especially in standardized processes.
Higher Skills, Fewer Roles
The central message from Genpact's leadership is that the workforce of the future will need to be more specialised. Tyagarajan said advancements in technology mean the IT industry will require employees with higher skill sets. That view aligns with the direction of travel across the sector, where firms are investing in reskilling programmes and AI training to adapt their workforce to new delivery models.
For investors, the trend has two sides. On one hand, AI-driven productivity gains can support margins, improve operating leverage and help firms win business by promising faster, cheaper execution. On the other, slower hiring and a more capital-efficient delivery model may signal a structural break from the labour-arbitrage playbook that powered India's IT boom for years. The market will be watching closely to see whether revenue growth can keep pace with the efficiency gains, and whether clients translate AI enthusiasm into sustained spending.
Genpact, which operates in business process management and digital transformation services, is itself part of this transition. The company has been positioning around automation, analytics and AI-led process redesign, areas that are increasingly central to enterprise technology budgets. Tyagarajan's comments therefore carry significance beyond a single company: they point to a broader industry inflection where scale alone may matter less than skill, speed and the ability to deploy AI effectively.
For India's technology workforce, the message is clear. The sector is not disappearing, but its employment model is changing. Growth may continue, yet it is likely to be less labour-intensive, more selective and more dependent on advanced capabilities than in the past.