Genpact has drawn a sharp line under the next phase of change in India's technology and services sector, saying artificial intelligence will reduce the amount of work that requires human effort while also curbing the pace of hiring growth. The message from NV 'Tiger' Tyagarajan is significant because it captures a broader industry reality: AI is no longer just a productivity tool, but a force reshaping the composition, scale and economics of employment.
Tyagarajan said the workload in IT is expected to come down as automation and AI systems take over more repetitive and process-heavy tasks. At the same time, he cautioned that employment growth rates have already begun to dip, suggesting that the sector is entering a more selective hiring cycle. The percentage increase in employees in India, he indicated, will not be the same as in previous years, when large-scale digital demand and rapid expansion allowed companies to add headcount at a faster clip.
AI Reshapes Demand
The implication is not that technology jobs are disappearing overnight, but that the nature of those jobs is changing materially. Companies are increasingly looking for workers who can design, manage and supervise AI-enabled systems rather than simply execute standardised tasks. That shift tends to favour higher-value roles in data, architecture, cybersecurity, cloud engineering and AI operations, while compressing demand for lower-skill, repetitive work.
For India, where the IT services industry has long been a major employer and a critical export engine, the change could be consequential. The sector has historically relied on a large, scalable workforce to deliver software development, support services and business process operations to global clients. If AI reduces the labour intensity of those services, firms may be able to grow revenue without adding employees at the same pace. That would improve productivity, but it also means the employment multiplier that once defined the industry may weaken.
Tyagarajan's remarks also reflect a wider recalibration underway across global technology and outsourcing firms. Clients are demanding faster delivery, lower costs and more advanced digital capabilities, all while expecting vendors to integrate AI into core workflows. In that environment, headcount expansion alone is no longer a reliable measure of business strength. Instead, companies are being judged on their ability to deploy talent more efficiently and to deliver more output per employee.
Higher Skills, Fewer Adds
The warning on hiring growth comes at a time when India's tech workforce is already under pressure to upgrade. As AI tools become embedded in coding, testing, customer service and analytics, the skill bar is rising. Workers with strong technical foundations and the ability to adapt to new platforms are likely to remain in demand, while those whose roles are built around routine execution may face slower career progression or displacement.
That transition carries implications for both companies and policymakers. For employers, the challenge is to retrain existing staff quickly enough to avoid a mismatch between available skills and future demand. For the broader labour market, the issue is whether India can scale up advanced digital skills fast enough to preserve its edge as a global technology hub. The country's advantage has long rested on a large, English-speaking, service-oriented talent pool. But as AI changes the profile of work, volume alone may matter less than depth of expertise.
The comments also arrive against a backdrop of investor scrutiny over margins, efficiency and growth quality in the IT and services space. If AI allows firms to do more with fewer people, operating leverage could improve. But markets will also watch whether that efficiency comes at the cost of slower hiring, weaker social impact or a narrower talent pipeline. For a sector that has been central to India's modern economic story, the trade-off between productivity and employment growth is becoming harder to ignore.
Tyagarajan's assessment suggests the industry is moving into a phase where the workforce must become smaller in relative terms, but more capable in absolute terms. That is a profound shift for Indian IT: one that may support profitability and competitiveness, while also forcing a rethink of how growth is measured, how talent is trained and how the next generation of technology jobs will be created.
