India might be transforming into a central player in the global AI story, but we don’t see the most crucial transformation coming from headline-grabbing startups. Instead, much of the real progress is happening quietly within the contracts and delivery models of traditional IT companies.
Across India’s vast technology landscape, artificial intelligence has matured from experimental pilots to embedded tools that improve core business operations. While standalone AI products and large generative models attract funding and media attention, the true engine of AI adoption in India continues to be its US$254 billion IT services sector, a backbone of the economy that is integrating AI into everyday work rather than selling it as a separate product.
AI Adoption: Broad But Uneven
A growing number of Indian enterprises are using AI, but how deep and impactful this usage is, differs widely. According to the India Skills Report 2026, more than 40% of India’s IT and gig workforce are using AI tools in tasks related to automation, like analytics and creativity, meaning, AI is now a part of routine processes.
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Other data points support this trend. A BCG report found that India’s AI adoption rate, companies actively using AI to generate value, is estimated at 92% adoption rate. Around 48% of enterprises across sectors have adopted AI in at least some business processes as of 2025. In a separate study, IBM found that close to 59% of Indian enterprises are making use of AI technology, with many wanting to see if more can be done.
These figures show that AI is no longer an experimental fringe technology. But despite its integration into Indian businesses, it is not yet transforming business models at the scale seen in venture-backed startups or pure AI product companies.
“Increasingly, the most impactful digital products are hybrids: their utility is shaped not just by functionality, but by the quality and intelligence of the data that powers them. Recognizing this early will allow companies to scale faster.” — Mahesh Raja, Chief Growth Officer, Ness Digital Engineering
Mahesh Raja, Chief Growth Officer, at Ness Digital Engineering, says to see the next phase of long-term evolution, leaders in India must dismiss the historical division between software and data.
“Increasingly, the most impactful digital products are hybrids: their utility is shaped not just by functionality, but by the quality and intelligence of the data that powers them. Recognizing this early will allow companies to scale faster,” he says.
Integration Over Transformation
Big technology success doesn’t happen in isolation, it happens through networks of people who help each other, invest in each other, and build multiple companies together. And now India is starting to see the same pattern that Silicon Valley saw earlier.
“Global partnerships need to be taken into account for a tool that is far-reaching,” — Rajat Mishra, CEO and Founder, Prezent
“Global partnerships need to be taken into account for a tool that is far-reaching,” Rajat Mishra, CEO and Founder of Prezent, said about this new pattern. “For example, in Silicon Valley, the “PayPal Mafia” has long been admired as a testament not only to entrepreneurship but also to the power of collaboration. The founders continued to invest in one another’s ventures—from Tesla and SpaceX to LinkedIn, Yelp, and YouTube.” Similarly, Mishra noted that we’re seeing this play out in the India Corridor, with successful Indian leadership teams that are investing and mentoring the next generation of these technology enterprises.
In the IT services industry, most AI work is still part of existing contracts rather than being offered as separate AI products. Tata Consultancy Services reported INR67,087 crore in revenue for the December 2025 quarter, up 2% from the previous quarter and 4.9% from a year earlier. Its AI services brought in about $1.8 billion, a growth rate of 17.3% quarter-on-quarter and making up roughly 6% of total revenue. The company posted an operating margin of 25.2%, with total deal wins (TCV) at $9.3 billion.
Similarly, HCLTech reported INR33,872 crore in revenue for the December 2025 quarter, increasing by 6% from the previous quarter and 13.3% from a year earlier. Its advanced AI business generated $146 million, growing 19.9% compared to the last quarter. The operating margin for the period was 18.6%, while new bookings reached $3 billion.
Instead of creating new ways of earning revenue, Indian IT firms are increasingly merely adding AI features like chatbots, automated summaries, and AI agents to their existing software and processes.
These kinds of enhancements might be able to improve productivity and margins, but they don’t actually change what the client buys. Hence, there isn’t much change in pricing structures or governance frameworks.
As a result of this, we also don’t see the hiring momentum among IT companies promised by early AI hype. On the contrary, companies seem to be cautious, focusing more on using AI within current operations and reskilling employees rather than hiring new talent. According to ICRA, hiring in the Indian IT sector has remained low and is likely to stay slow until growth improves in the second half of FY26.
Industry Signals and Market Dynamics
The structure of India’s AI adoption stands in contrast to the more visible startup-led scenes in the US and China. Instead of small, independent AI firms driving growth, much of India’s momentum comes from established IT service providers shifting their offerings.
Generative AI use across daily software development and business operations is widespread among Indian companies. An EY India survey found deploying AI can boost productivity in the Indian IT industry by up to 43–45% in the coming five years.
Cloud migration, automation, and AI built into current systems are now being shown as the main sources of value, rather than AI product building. For example, Infosys has integrated generative AI capabilities into its core service offerings, including cloud migration, software development, and automation, through its AI platform Infosys Topaz and its tie up with cloud partners like AWS. The company uses AI tools to automate documentation, write code, help with debugging and testing, and speed up upgrades to older systems as part of larger digital transformation projects. This improves efficiency within existing services but doesn’t offer AI as a separate product.
This shows that India’s shift to AI is gradual and practical, focusing more on using AI as a cost saving measure and improving productivity than on industry disrupting innovation.
Why this Matters for Startups & the Broader Ecosystem
The fact that AI is primarily enhancing existing contracts rather than generating new revenue streams has several implications. For starters, venture funding may follow different patterns, investors might prefer startups that can plug into existing enterprise workflows rather than those trying to build entirely new AI platforms without proven demand.
Also, talent demand is evolving. Skills related to AI orchestration, data science, cloud architecture, and cybersecurity are growing faster than traditional coding roles. According to Randstad, while skills like Java, Salesforce, and Agile still matter as part of IT roles, hiring is leaning toward AI-enabled functions, like large language model orchestration, prompt engineering, cloud architecture, and cybersecurity roles, all gaining strength in 2026. These newly developed specialized areas are often outpacing demand for traditional coding roles.
This signals a shift in workforce priorities as AI becomes part of standard IT delivery. Indian companies now expect AI to bring up existing systems and people, instead of replacing them. This might slow down the speed of innovation but it also means more sustainable, business-focused applications of AI will develop.
The Bigger Picture
So far, India’s AI story doesn’t show explosive standalone breakthroughs. Instead, it is becoming a story of pragmatic integration, where AI improves current capability and efficiency within well-established IT service contracts. India’s case can be seen as unique within the global AI landscape, where AI is indispensable but only as an enhancement to everyday business.
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As Mishra explains, “AI’s economic impact depends not just on raw capability but on how organizations apply these tools thoughtfully. Ultimately, it’s about using AI to enhance human productivity, not just to automate tasks, because the future of AI isn’t about replacing humans. We must treat them as systems that amplify our creativity and strategic thinking–and tools that empower teams–rather than just chasing benchmarks for it to evolve India’s tech industry.”
Industry players such as founders, investors, and policymakers, must understand this subtle but important difference if they want to move ahead in the next phase of India’s AI evolution.
