Dominic Jainy stands at the high-stakes intersection of emerging technology and corporate strategy, bringing years of experience in artificial intelligence, machine learning, and blockchain to the table. As an IT professional who has watched the industry evolve from simple labor arbitrage to complex cloud ecosystems, he offers a unique vantage point on the current disruption facing global service providers. He has spent his career dissecting how technical shifts translate into business reality, making him a sought-after voice during this period of agentic transformation. Today, we sit down with Dominic to explore the seismic shifts occurring as AI agents begin to take over the most profitable segments of the IT services market.
The following discussion explores the transition from human-centered labor to automated agent models, specifically looking at how Chairman N. Chandrasekaran views the future of TCS. We delve into the competitive threat posed by hyperscalers like Amazon with their AWS Transform platform, the deflationary impact of AI on traditional revenue annuities like the ones seen in the Hertz and Infosys collaboration, and the shifting dynamics of the global workforce. Finally, we address the urgent need for Indian IT firms to pivot toward governance and specialized intellectual property to survive in an era of outcome-based pricing.
The landscape of Indian IT services is undergoing a massive shift as major players predict a future where AI agents outnumber human employees. From your perspective, how does this transition from a human-centered labor model to a digital-first approach reshape the core value proposition of these firms?
The chairman of Tata Sons painted a vivid picture at the 31st annual general meeting, suggesting that TCS will soon operate as many AI agents as it has people on the payroll. This isn’t just a minor technical upgrade; it is a fundamental reimagining of the labor arbitrage model that has defined the industry for two decades. When you see giants like Cognizant signaling a restructuring that could remove 12,000 to 15,000 roles, you feel the tangible weight of this transformation on the global workforce. The core value of these firms is shifting away from simply providing the “hands” for repetitive coding and toward the “brains” that govern these complex automated systems. It is an era where context, trust, and regulatory supervision become the scarce and valuable resources, far outweighing the sheer volume of billable hours logged by offshore teams.
Cloud hyperscalers are no longer just providing the hardware; they are now automating the very modernization work that was once the bread and butter of IT services. How do tools like AWS Transform disrupt the traditional ‘journey’ that integrators have historically monetized?
The disruption is visceral when you look at how AWS Transform operates by automating the discovery, plan, and refactor stages of application migration across .NET, mainframe, and VMware tracks. Amazon has managed to push over 1.1 billion lines of code through this service, saving customers an incredible 810,000 hours of manual labor that would have otherwise been billed by an army of engineers. This creates a massive tension because while Indian IT firms historically monetized the long, arduous journey of transformation, hyperscalers are now making that journey essentially free to ensure the workload lands on their cloud infrastructure. For a CIO, seeing .NET workloads converted four times faster while stripping away expensive Windows licenses is a game-changer that makes the old multi-year migration plans look entirely obsolete. It forces a move toward outcome-based pricing, where the platform team hands the repetitive analysis to agents rather than offshore delivery teams.
The concept of ‘annuity’ revenue—the steady, recurring income from maintenance—is being challenged by AI-driven efficiency. Could you elaborate on how specific examples, such as the Infosys and Hertz collaboration, illustrate the potential deflation of these long-standing contracts?
The numbers coming out of recent projects are quite staggering and serve as a harsh wake-up call for the entire sector’s pricing philosophy. Infosys reported that they successfully moved 3 million lines of Hertz COBOL into a modern microservices environment using AI foundation models, but the real story is that they did it at a cost 60% lower than a conventional migration. Not only was the project significantly cheaper, but the timeline was also compressed by 60%, which effectively teaches every future buyer in the market what a modernization outcome should now cost. This creates a powerful deflationary pressure, with analysts modeling a 2% to 3% annual decline across the application services base as AI productivity begins to eat into margins. When a vendor proves they can do the work for less than half the price and in a fraction of the time, the “safe” recurring revenue model of the past begins to evaporate before our eyes.
As automation reduces the headcount required for large-scale engineering, we are seeing significant changes in hiring and visa trends. What does the current data regarding job cuts and H-1B approvals tell us about the shifting pressure on the Indian IT workforce?
The data paints a somber picture of the pressure building within the industry’s human capital and the traditional offshore-onshore delivery model. In FY26, the five largest Indian IT firms saw a combined net loss of 6,981 jobs, which is a sharp and painful reversal from the 12,718 net additions seen just a year prior. You can sense the growing anxiety in the delivery centers as H-1B approvals for the top six firms have dropped by about 40% year over year, making it both more expensive and difficult to place Indian engineers in front of US clients. This isn’t just a temporary dip in hiring; it is the sound of a structural shift where automation reduces the need for “boots on the ground” while rising costs make the remaining human roles harder to justify. Companies like Wipro are seeing flat revenue growth even as they book large deals, indicating that “AI productivity compression” is a very real force working against the traditional growth engines of the industry.
If the hyperscalers own the agents and the infrastructure, where can Indian IT firms find a defensible position to remain relevant in the long term?
The defensible ground is no longer found in the code generation itself, but in the layers of governance, domain expertise, and regulatory compliance that surround the technology. While AWS or Microsoft can provide the agents that refactor a legacy estate, they do not necessarily have the deep, client-specific context or the established trust required to manage the cultural change across a massive enterprise. N. Chandrasekaran is absolutely right to suggest that governing these AI systems—confirming parity, managing change, and connecting output to business results—will become the next great recurring revenue annuity. The real opportunity lies in building proprietary IP around “governance-as-a-service” and industry-specific workflows that a generic cloud tool simply cannot replicate. If these firms can pivot from being “integrators of labor” to “orchestrators of intelligence,” they can expand their market; otherwise, the profit will continue to migrate toward the companies supplying the raw intelligence.
What is your forecast for the balance of power between cloud providers and service integrators over the next five years?
I anticipate a significant power tilt toward hyperscalers as they continue to turn high-value services into free “on-ramps” for their cloud infrastructure, but the battle for the enterprise is far from over. Within the next five years, we will see a “survival of the specialized,” where only IT firms that possess deep, non-commoditized domain knowledge—like those handling complex, highly regulated legacy estates—will maintain their historical margins. The traditional maintenance annuity is likely to shrink significantly as agents handle the repetitive “keeping the lights on” tasks, and Infosys’s guidance of 1.5% to 3.5% growth for FY27 suggests this slowdown is already here. However, if firms like TCS and Infosys successfully productize their internal automation platforms like MasterCraft or Topaz, they could emerge as essential governance partners rather than mere resellers. Ultimately, the industry will transition from selling human hours to selling verified outcomes, and the winners will be those who can prove that their human oversight adds more value than the AI agent itself.