India Looks Beyond Labor Arbitrage as AI Reshapes its $250 Billion IT Industry

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In February 2026, India’s $250-billion IT services industry found itself in the middle of a storm. A sharp market sell-off, a research report, and rapid advances in artificial intelligence sparked what analysts called an “AI panic trade.”

The Nifty IT index plunged to a 30-month low, and foreign investors withdrew nearly $1.2 billion USD from Indian tech stocks within days. The sudden fall reflected growing fears that AI could fundamentally disrupt India’s IT services model, which relies on large talent pools, offshore delivery, and global consulting partnerships.

The anxiety intensified after a Citrini Research report, co-authored by analyst Alap Shah, laid out a bleak scenario for the sector. Titled “The 2028 Global Intelligence Crisis,” the report described a future in which AI dramatically reduces the need for traditional IT services.

In the report’s imagined “2028 reality,” enterprises begin cancelling long-standing contracts with major service providers such as Infosys and Wipro. Instead, companies build and maintain software internally using powerful AI tools that can code, design systems, and run operations.

Around the same time, Anthropic released Claude Code, an AI coding system designed to automate large portions of the software development lifecycle. These events together fueled the idea that Indian IT could be facing a major turning point.

However, industry leaders see things quite differently and believe the situation is far from disastrous.

The Sector Reinvented Itself 

If there is one constant in Indian IT, it is reinvention.

From the Y2K remediation boom of the late 1990s to the rise of outsourcing, cloud migration, and digital transformation services, the industry has repeatedly adapted to technological disruption. Each wave initially raised fears about job losses or shrinking relevance, yet the sector continued to expand.

Executives across Indian IT companies now argue that AI represents another such inflection point, not the end of the industry.

“We’ve navigated multiple technology and business inflections over the years—Y2K, internet, cloud, and digital transformation,” says Joseph Anantharaju, Co-Chairman and CEO of Happiest Minds Technologies. “Every time, Indian IT adapted and emerged stronger.”

According to Anantharaju, AI should be seen less as a threat and more as a new engine for demand. Enterprises are looking to embed AI into their products, automate operations, and modernize legacy systems, all areas where IT service providers already play a central role.

The End of Labor Arbitrage?

The main fear behind the market sell-off is that AI might end the labor-arbitrage model that helped Indian IT dominate global outsourcing.

Generative AI tools can now write code, generate documentation, test applications, and even maintain software systems, tasks traditionally handled by large teams of engineers.

The argument is that if one AI-augmented developer can perform the work of several engineers, companies may no longer need large offshore teams. But many industry leaders say this assumption misunderstands how enterprise technology actually works.

“The idea that AI will hollow out India’s IT services advantage assumes our value proposition is still anchored in labor arbitrage,” says Angan Guha, CEO and Managing Director of Birlasoft. “That hasn’t been true for some time.”

Over the past decade, IT companies have steadily moved up the value chain, from basic coding to consulting, digital transformation, cloud architecture, and platform development.

Today, clients increasingly pay for business outcomes rather than just the workforce, Guha says.

“What clients are paying a premium for is speed, resilience, insight, and adaptability, not effort,” he explains. “Our role is evolving from service provider to transformation partner.”

From Effort-Based Billing to Outcome-Based Models

AI is accelerating a shift already underway in the industry: moving from effort-based billing to value-based delivery.

Venu Lambu, CEO and Managing Director of LTM, says productivity gains from AI are already reshaping commercial models. “Traditional unit rates in some areas will compress,” Lambu acknowledges. “But value will shift upward toward roles that combine AI fluency with deep domain expertise.”

Instead of charging clients based on hours worked or team size, many IT firms are renegotiating contracts to focus on managed outcomes and impact-linked engagements.

AI tools allow companies to deliver projects faster and more efficiently, freeing resources to focus on higher-value transformation work.

“We are deliberately moving beyond a headcount-led model to AI-native, outcome-driven services,” Lambu says.

AI May Actually Unlock More Work

Ironically, the rise of AI could expand the scope of IT services rather than shrink it.

Many enterprises still rely on decades-old legacy systems that are difficult and expensive to modernize. AI could significantly reduce the cost and risk of upgrading these systems.

“Companies have lived with legacy platforms like mainframes or AS400 for years because modernization was too expensive,” says Anantharaju. “AI productivity gains now make those transformations feasible.”

Similarly, organizations carry large technical debt, outdated code, and infrastructure accumulated over decades. AI tools can help refactor or rebuild these systems far more quickly.

This creates a massive opportunity for IT services firms capable of managing complex modernization programs.

The Human Edge

Despite AI’s rapid progress, many industry leaders say that software development is only one part of enterprise technology.

Understanding business processes, integrating systems across organizations, and managing large-scale change are far more complex tasks that still require human expertise.

Even Dario Amodei, CEO of Anthropic, agreed with this in a recent conversation with Zerodha co-founder Nikhil Kamath. “At the end of the day, all of this is meant to serve people,” Amodei said. “There will always be a human-centric element that remains critical.”

To illustrate the point, Amodei referenced Amdahl’s Law, which states that improving one part of a system often shifts the bottleneck to another. If AI makes coding dramatically faster, the bottlenecks may move to system architecture, integration, governance, and organizational change.

These areas require deep institutional knowledge and collaboration — strengths IT services companies have built over decades.

“Previously overlooked strengths like institutional understanding and trust could suddenly become decisive,” Amodei said.

Industry leaders also argue that the future IT workforce will look different, but not smaller.

AI excels at pattern recognition, automation, and content generation. But it struggles with contextual reasoning, strategic thinking, and organizational complexity. “AI cannot replace human judgment, empathy, creativity, and contextual problem-solving,” says Anantharaju.

The most valuable professionals in the AI era will be those who combine technical expertise with domain knowledge and business understanding.

At Birlasoft, Guha says the company is investing heavily in training employees to work alongside AI systems. “The differentiator is not access to AI tools,” he explains. “It’s the ability to frame the right problems, interpret outcomes, and translate insights into business decisions.”

Similarly, Lambu believes the structure of IT organizations will evolve.

Traditional delivery models built around large pyramids of junior engineers may shift toward diamond-shaped organizations, where fewer but more highly skilled professionals collaborate with AI systems.

Markets May Be Overreacting

Right now, financial markets appear focused on risks rather than opportunities. The recent correction in IT stocks reflects concerns that AI will reduce demand for labour-intensive services and compress margins.

Guha argues that such reactions are common during major technological transitions. “We’ve seen this before during cloud, automation, and offshoring cycles,” he says. “Headline fears often temporarily outpace fundamentals.”

Instead of looking at short-term headcount trends, he suggests investors focus on longer-term signals:

• The pace at which enterprises move from AI pilots to large-scale deployments
• Growth in AI-driven deal pipelines
• The shift toward outcome-based contracts

“These indicators will tell us whether the industry is transforming or declining,” Guha says.

So far, he believes the evidence points toward transformation.

The Next Chapter for Indian IT

The truth is that AI will almost certainly reshape the IT services industry. Coding tasks will become more automated, productivity will rise, and business models will evolve. But that doesn’t necessarily mean the industry will shrink.

Instead, Indian IT companies may shift from providing large teams of engineers to delivering AI-enabled transformation services, platform solutions, and strategic consulting.

“AI is redefining how value is created and delivered,” Guha says. “But it is not eliminating the need for IT services.”