Indian IT firms poised to profit from enterprise AI adoption

The asset-light advantage

Indian information technology companies are positioned to gain significantly from the current enterprise AI deployment cycle. According to a research report by Anand Rathi, these firms can capitalize on the trend without the heavy financial risks associated with building physical computing capacity. They operate on an asset-light business model that focuses on services rather than owning the underlying hardware.

This model is supported by net-cash balance sheets and low capital expenditure intensity. By avoiding the need to build large-scale computing infrastructure, Indian IT firms can maintain strong cash conversion. They provide the necessary expertise to deploy AI solutions while others bear the burden of high funding requirements and utilization risks.

The report highlights that the financial commitments for AI infrastructure are becoming increasingly massive. As companies expand their computing capacity to meet demand, the capital-intensive nature of the infrastructure layer creates a specific niche. Indian IT providers can step into this space by offering high-value services that do not require replicating these massive infrastructure investments.

Scaling the AI infrastructure

The scale of the current AI infrastructure requirements is illustrated by the performance of companies like Anthropic. As reported by economictimes.indiatimes.com, Anthropic earned USD 16.3 billion during the first half of calendar year 2026, marking a 14-fold jump compared to the previous year. Despite this growth, the company faces substantial future financial obligations, including approximately USD 321 billion in leases yet to commence.

These figures underscore how expensive it is to build and operate the computing power needed for modern AI. The high capital intensity of the infrastructure layer means that companies building the foundation face significant financial pressure. This creates a distinct separation between the companies providing the 'pipes' and the companies providing the 'plumbing' for businesses.

Because the infrastructure layer is so capital-heavy, the focus is shifting toward how to use that power effectively. The research suggests that the most sustainable growth for service providers lies in the downstream application of these models. By staying away from the heavy hardware costs, Indian IT firms can focus on the software and integration side of the AI boom.

The rise of systems integrators

A major opportunity is emerging for systems integrators, which are firms that help businesses weave AI models into their existing technology systems and workflows. These providers help companies select, integrate, and deploy AI models across various business operations. This role is becoming essential as enterprises look for ways to make AI practical for their specific needs.

The growing importance of these service providers is reflected in Anthropic's own spending patterns. The company's costs for sales, marketing, and partnerships grew by about 27 times over the previous year to reach USD 3.2 billion in the first half of calendar year 2026. This increase was driven largely by a USD 2.7 billion year-on-year rise in fees paid to channel partners.

The report notes that these trends point toward opportunities for model-agnostic systems integrators. These firms are valuable because they can help a client choose the best AI model for their specific task regardless of which company built it. This flexibility allows enterprises to remain agile as the AI landscape continues to evolve rapidly.

Market risks and hurdles

While the outlook for Indian IT firms is positive, the report identifies several risks that could impact profitability. One primary concern is AI-led pricing deflation, which refers to a decrease in prices caused by the efficiency of AI tools. The report points to Microsoft's workforce rationalization as a signal that this trend may be beginning to take hold.

Another risk involves the high cost of computing itself. Because companies are spending so much on the infrastructure layer, there is a possibility that this could constrain discretionary technology spending by their clients. If businesses are spending all their money on the hardware and power to run AI, they may have less left over to spend on new software projects.

Ultimately, the pace of growth for Indian IT companies will depend on a balance of factors. They must be able to deliver high-quality integration services while navigating a landscape of changing spending patterns. The success of these firms will rely on their ability to turn enterprise demand into profitable, long-term contracts in a competitive market.

What comes next for IT

The next phase of the AI boom will likely see a shift from building models to deploying them at scale. As the infrastructure becomes more established, the focus will turn to how businesses can actually use these tools to improve their daily operations. Indian IT firms are well-positioned to act as the primary guides for this transition.

The data shows that a significant portion of revenue is already becoming consumption-based, with Anthropic reporting that roughly 80 per cent of its earnings in the first half of the year were tied to usage. This suggests that the market is moving toward a model where companies pay for the actual value they get from AI, rather than just a flat fee for access.

For the Indian IT sector, the goal is to capture the value in this consumption-based model. By offering model-agnostic services, they can ensure that their clients are getting the most efficient results. This strategy allows them to remain relevant regardless of which specific AI model becomes the industry standard.