Genpact has drawn a clear line between the next phase of technology adoption and the future shape of IT employment, saying artificial intelligence will reduce the amount of work required in the sector while also slowing job creation. The company's chief executive, NV 'Tiger' Tyagarajan, said the industry is entering a period in which the pace of employee additions is likely to moderate, particularly in India, as automation and advanced digital tools reshape delivery models.
AI Reshapes Demand
Tyagarajan's remarks reflect a broader recalibration underway across the technology services industry, where generative AI, machine learning and process automation are increasingly handling tasks that once required large teams. In practical terms, this means fewer people may be needed for repetitive, rules-based work, while more value is placed on employees who can design, supervise and improve AI-enabled systems.
The implication for the sector is significant. For years, Indian IT and business services firms expanded by adding large numbers of engineers and support staff to meet rising global demand. That model is now under pressure as clients push for productivity gains, shorter delivery cycles and lower operating costs. Tyagarajan's comments suggest that the industry's traditional labour-intensive growth engine is giving way to a more capital- and technology-intensive model.
He said employment growth rates have already started to dip, indicating that the slowdown is not a distant possibility but an emerging reality. The percentage increase in employees in India, he noted, will not be the same as in the past. That assessment carries weight in a market where hiring trends are often viewed as a proxy for sector health and future revenue momentum.
Higher Skills, Fewer Roles
The shift is not simply about fewer jobs; it is also about different jobs. Tyagarajan stressed that the IT industry now requires a workforce with higher skill sets, a point that aligns with the broader industry push toward cloud architecture, data engineering, cybersecurity, AI model governance and domain-led consulting. As routine work is automated, the premium moves to workers who can manage complex systems and translate business problems into technology solutions.
This evolution may create a sharper divide within the labour market. Entry-level roles and process-heavy functions could face the most pressure, while specialised roles may see stronger demand and better compensation. For India, which has long been the world's back office for technology services, the transition raises questions about how quickly the talent pipeline can adapt.
Training and reskilling will become central to that adjustment. Companies may need to invest more heavily in upskilling existing employees rather than relying on large-scale fresh hiring. Universities and technical institutes, meanwhile, will face growing pressure to align curricula with AI-era requirements rather than legacy coding and support functions alone.
India Hiring Outlook
Tyagarajan's comments also point to a more measured outlook for India's role in global technology employment. The country remains a critical hub for IT services, but the scale of future hiring may not mirror the expansion seen in earlier decades. That does not necessarily mean a collapse in employment, but it does suggest a slower, more selective pattern of growth.
For investors, the message is twofold. First, AI may improve operating efficiency and margins for technology services firms by reducing delivery costs. Second, the same efficiency gains could limit headcount expansion, which has historically been one of the sector's most visible growth indicators. The market will likely watch closely to see whether productivity gains translate into stronger profitability without eroding the employment-intensive model that has long supported the industry.
The broader policy question is equally important. If AI reduces the need for large numbers of workers in routine IT functions, India will need to accelerate workforce transformation to preserve its competitive edge. That means building deeper expertise in advanced technologies, encouraging continuous learning and ensuring that the country's talent base can move up the value chain.
Tyagarajan's remarks capture a turning point for the sector: AI is no longer just a tool for experimentation or efficiency pilots. It is becoming a structural force that is changing how much work needs to be done, who does it and how many people firms will need to hire to do it.