India’s Technology Sector Enters a New AI-Driven Growth Phase

India’s technology sector is entering a new phase of growth, with artificial intelligence moving from experimentation into a more central role across businesses, startups and digital infrastructure.

The shift is becoming visible across the technology ecosystem. Companies are investing in AI-enabled products, enterprises are integrating AI into business operations, and demand for computing infrastructure is rising as more workloads move toward AI.

According to NASSCOM’s 2026 strategic review, India’s technology industry is moving from scale-led growth toward value, innovation and specialised capabilities. The industry is expected to cross $315 billion in FY26, while direct technology-sector employment is projected to reach around six million.

AI Moves From Experimentation to Enterprise

For years, many organisations approached artificial intelligence through pilot projects and limited experiments. That approach is changing.

Businesses are increasingly looking at AI as part of their core technology strategy, particularly in areas such as customer service, software development, analytics, cybersecurity, financial services and automation.

NASSCOM describes 2025 as a decisive shift from AI experimentation toward industrialisation. Technology providers are increasingly developing domain-specific platforms and moving toward outcome-based models rather than relying entirely on traditional manpower-driven service models.

This transition is also creating pressure on established IT-service models. AI can improve productivity and reduce the amount of manual work required for certain technology tasks, potentially changing pricing structures and demand for traditional services. Recent industry analysis has highlighted this tension as Indian IT companies balance AI-driven productivity with the need to build new revenue streams.

Infrastructure Becomes the Next Battleground

The expansion of AI is not limited to software. It is creating a much larger requirement for computing power, data centres, chips, electricity and advanced cooling systems.

India’s data-centre capacity has increased from approximately 375 MW in 2020 to around 1,500 MW in 2025, according to the Ministry of Electronics and Information Technology. More than 38,000 GPUs have also been onboarded through the IndiaAI compute framework to provide affordable access to startups, researchers and other eligible users.

Private investment is following the same direction. Brookfield has said it expects around 6.5 GW of AI-focused data-centre capacity to come online in India over the next five years, highlighting the scale of infrastructure being considered for AI workloads.

The infrastructure opportunity extends beyond data centres. Power availability, networking, semiconductor supply, cloud platforms and specialised hardware will increasingly determine how quickly AI businesses can scale.

Government Pushes for a Domestic AI Ecosystem

India is also building a policy and infrastructure framework around AI.

The IndiaAI Mission, approved with an outlay of ₹10,371.92 crore, is designed to expand access to computing resources, develop indigenous AI capabilities, support startups, improve datasets and promote responsible AI development.

The programme has since expanded its compute infrastructure. Government data published in 2026 says more than 38,000 GPUs have been made available through 14 AI service providers, while additional capacity is being developed.

The government is also supporting the development of Indian foundation models and AI applications designed around local languages and use cases. This could become particularly important in a country where language diversity and large-scale digital adoption create requirements that are different from those of Western markets.

Startups and Talent Enter a New Cycle

India’s startup ecosystem is another important part of the transition.

AI startups are increasingly working across enterprise software, healthcare, financial services, education, robotics, cybersecurity and specialised industry applications. At the same time, investment is becoming more focused on companies that can demonstrate practical applications and sustainable business models.

For technology professionals, this means the skills being demanded by employers are also changing. Traditional software and IT expertise remains important, but knowledge of AI systems, cloud infrastructure, data engineering, cybersecurity and specialised domain applications is becoming increasingly valuable.

NASSCOM expects hiring patterns to shift from volume toward skill mix as AI-driven productivity becomes more visible across the industry.

A New Growth Model for Indian Technology

India’s technology story is therefore becoming broader than traditional IT services.

The next phase is likely to involve a combination of enterprise AI, global capability centres, engineering and R&D, semiconductor development, cloud computing, data centres and AI-native startups.

The opportunity is significant, but the transition will not be without challenges. Companies will need to manage rising infrastructure costs, cybersecurity risks, data governance requirements and the impact of AI on existing business models.

For India, however, the direction is increasingly clear: AI is becoming an important layer across the technology economy rather than a standalone technology trend.

As investment moves from experimentation toward infrastructure, products and large-scale deployment, the country’s technology sector is entering a period in which AI capability, specialised talent and access to computing power could increasingly determine where the next wave of growth comes from.