India is rethinking its AI roadmap, prioritizing growth in IT services over expensive, capital-heavy hardware subsidies. With IT service exports rising 12% in fiscal 2025-26 against a decline in software product exports, the government is focusing on outcome-based business models. Investors should watch how this shift impacts long-term profitability in the technology and data infrastructure sectors.
India’s approach to the global artificial intelligence race is undergoing a significant policy transition. Policymakers are increasingly favoring a model that prioritizes the country's established leadership in IT services, consulting, and human-centric intelligence over the expensive, capital-intensive pursuit of building a sovereign full-stack hardware infrastructure from scratch.
Recent economic data underlines this divergence. In the 2025-26 fiscal year, IT service exports grew by approximately 12%, while software product exports contracted by roughly 6%. This contrast suggests that India’s competitive advantage remains rooted in its ability to manage and deploy complex enterprise solutions, rather than competing directly with global hyperscalers for GPU supremacy.
Rethinking the Hardware Subsidy Model
The IndiaAI Mission, approved in March 2024 with an outlay of over ₹10,371 crore, originally aimed to build substantial compute capacity, including the deployment of over 38,000 GPUs. However, reliance on massive hardware subsidies faces practical challenges. High acquisition costs for advanced processors and a dependence on foreign suppliers create strategic vulnerabilities. Furthermore, data suggests that domestic GPU capacity often struggles with low utilization because of a lack of sufficient local industrial uptake for high-end computing.
To address the infrastructure need without falling into a pure hardware-dependence trap, the government introduced a long-term tax holiday in the 2026-27 Budget. This incentive, running until 2047, is designed to support companies operating cloud and AI services through Indian data centers. The goal is to build an environment that prioritizes affordability and utility, supporting the broader Electronic Component Scheme, which received a ₹40,000 crore boost under the Semiconductor Mission 2.0.
The Human-Centric Opportunity
A critical gap exists between AI experimentation and actual business value. Current data indicates that only about 15% of corporate AI initiatives in India have successfully scaled across enterprises. This failure to scale is often attributed to a lack of proper integration and technical oversight.
This gap presents an opportunity for the IT services sector. Highly regulated industries, such as banking and finance, require strict transparency, auditability, and human oversight for any AI implementation. By incentivizing firms to integrate AI tools alongside human expertise—rather than attempting to replace labor entirely—policymakers aim to foster a more sustainable expansion of the digital economy.
What Investors Should Monitor
The pivot toward a service-led AI strategy changes the outlook for different tech segments. While hardware-focused firms may face pressure from the high cost of entry and intense global competition, IT services companies may benefit from increased demand for AI integration, consulting, and regulatory audit services.
Investors should track the execution of skilling initiatives and the adoption rate of these AI services across the financial and agricultural sectors. The long-term success of this strategy will depend on whether domestic enterprises can successfully move beyond the pilot phase of AI adoption to generate real productivity gains. The key update to watch will be the commissioning timelines for subsidized data center projects and any official reports on the utilization rates of the compute infrastructure deployed under the IndiaAI Mission.