AI Marks Critical Inflection Point for IT Services as HCLTech CEO C Vijayakumar Completes Decade at Helm

As generative artificial intelligence and autonomous systems redraw the contours of enterprise IT, the technology services sector has reached an irreversible crossroads. Marking ten years as Chief Executive Officer and Managing Director of HCLTech, C Vijayakumar stated that the industry is confronting another profound "inflection point," where long-term survival hinges on reinvention rather than legacy size.

In a retrospective published on LinkedIn, Vijayakumar reflected on the shifting nature of technology business models over the past decade, arguing that the current structural pivot toward AI represents one of the most critical transformations in modern corporate computing.

Reinvention Over Scale Rather than assuming that India's large-cap IT majors will glide through the disruption on scale alone, Vijayakumar cautioned that sheer operational size is no longer an insurmountable moat:

• The Inflection Moment: The rapid rise of AI-assisted code generation, autonomous service delivery, and digital workflows has forced enterprise consulting firms to rapidly rethink traditional time-and-materials billing models.

• A Decade of Evolution: Over his ten-year tenure since taking the helm in October 2016, HCLTech expanded into a global entity employing more than 225,000 personnel, establishing footholds across key Western software engineering and engineering R&D verticals.

• Decoupling From Size: Vijayakumar emphasized that the coming phase of industry leadership will favor organizations that treat disruption as an ongoing operational habit rather than an external shock.

"Today as AI reshapes our industry, we are once again at an inflection point. The future belongs not necessarily to the largest, but those willing to keep reinventing themselves." — C Vijayakumar, CEO & MD, HCLTech

Rethinking Modern Tech Leadership Touching on executive strategy, Vijayakumar noted that steering a global services enterprise through generational technological shifts requires abandoning the pretense of knowing all the answers. Instead, he framed effective leadership as asking sharper questions, welcoming teams that challenge conventional operational assumptions, and making hard trade-offs early to pivot talent toward high-value architectures.

With enterprise clients increasingly demanding automated outcomes rather than headcount deployment, Vijayakumar's remarks make it clear that India's tier-one IT giants must overhaul legacy service delivery to stay relevant in an AI-dominated ecosystem.