Key Takeaways
- 25% of Indian tech services firms have moved AI projects from experimentation to production
- Agentic AI could create $300-400 billion in new market opportunity for IT services by 2030
- Over 2 million Indian tech professionals now have AI skills, with 100,000-200,000 at advanced levels
Indian technology services companies are positioning themselves as the go-to partners for global enterprises moving AI from pilot projects into production systems. At the Nasscom US CEO Forum in New York, industry leaders argued that the sector's real opportunity lies not in competing with AI, but in managing the messy, complex work of making it actually work inside large organizations.
The forum, held at the Consulate General of India, brought together Delaware Governor Matt Meyer, Secretary Charuni Patibanda-Sanchez, and CEOs of major Indian IT companies operating in the United States. The message was consistent: AI will reshape tech services, but not in the way skeptics expect.
What's the real AI opportunity for Indian IT?
The industry's pitch centers on a simple observation. While AI automates some standardized, repeatable tasks, it simultaneously creates demand for new services. Data readiness, application modernization, cybersecurity, AI governance, agent management. These are not the jobs AI replaces. They're the jobs AI creates.
The numbers tell part of the story. About 25% of tech services companies have already moved AI experiments into production environments. The industry is generating an estimated $10-12 billion in AI services revenue today. More than 2 million professionals in the sector have AI skills, with between 100,000 and 200,000 at advanced capability levels.
Ravi Kumar S, Chair of the Nasscom US CEO Forum, framed the shift bluntly: "The next phase of AI is not about experimentation alone. Enterprises now need to convert AI capability into production value. That requires data readiness, workflow redesign, secure deployment, governance and change management."
Why agentic AI changes the math
The forum's most striking projection concerns agentic AI, systems that can take autonomous actions rather than just responding to prompts. This category alone could create $300-400 billion in additional addressable market opportunity for tech services by 2030.
That figure spans data preparation for AI, legacy system modernization, agentic workflow design, AI operations, cybersecurity, and governance. Each of these areas requires human expertise to implement properly. You can't automate the automation.
Rajesh Nambiar, President of Nasscom, emphasized the integration challenge: "As AI moves into production, enterprises will have to bring together models, applications, data platforms, cloud environments, cybersecurity controls, regulatory requirements and industry systems into a reliable operating model."
“The value of IT services will increasingly lie in making these systems work together securely, efficiently and at scale.”
— Rajesh Nambiar, President, Nasscom
Can Indian firms actually deliver?
The pitch sounds good, but the execution question remains. Indian IT services companies face the same disruption pressures as their clients. Stock prices at Infosys and TCS have dropped roughly 30% over the past year as investors worry about AI's impact on traditional outsourcing revenue.
The industry's response is to lean into its existing strengths. India's tech services sector employs over 5.4 million people directly, the world's largest tech talent pool. Indian firms work with roughly 85% of Fortune 500 companies. They've been managing technology transitions for global enterprises for three decades.
That history cuts both ways. Long-term enterprise relationships provide a foundation for new AI work. But they also tie companies to legacy contracts and older business models that AI genuinely threatens.
What enterprises actually need
The forum identified specific capability gaps that Indian IT services companies can address. Data readiness tops the list. Most enterprises have fragmented, poorly documented data that AI systems cannot use effectively. Cleaning, organizing, and governing that data is labor-intensive work.
- Data preparation and quality management for AI training
- Legacy application modernization to integrate with AI systems
- Cybersecurity hardening for AI deployments
- AI governance and compliance frameworks
- Agentic workflow design and management
- Industry-specific AI solution development
The pitch to enterprise buyers is straightforward: focus on your core business, let specialists handle the AI infrastructure. That argument has worked for Indian IT services for decades. The question is whether it holds in an era where AI itself can handle some of that specialist work.
The competitive landscape
Indian IT giants like TCS, Infosys, Wipro, and HCLTech are not competing in a vacuum. Accenture, IBM, and the major cloud providers all want the same enterprise AI implementation dollars. Boutique AI consultancies with deep technical expertise offer another alternative.
India's cost advantage remains real but narrowing. The differentiation increasingly depends on demonstrating actual AI production deployments, not just pilots. The 25% figure for AI projects in production suggests progress, but it also means 75% are still experimenting.
Logicity's Take
The $300-400B agentic AI market projection is aggressive but not unreasonable. The real test for Indian IT services is whether they can move faster than their enterprise clients' internal teams. Companies like TCS and Infosys are building AI platforms, but so are Accenture (with its AI Refinery platform) and the hyperscalers. For CTOs evaluating partners, the question isn't whether Indian IT firms can do AI work. It's whether their existing vendor relationships deliver enough AI-native talent, or whether new specialist partners make more sense for high-stakes deployments.
Frequently Asked Questions
How much AI revenue are Indian IT services generating today?
According to Nasscom forum discussions, the industry is generating an estimated $10-12 billion in AI services revenue currently.
What is the projected market size for agentic AI services?
The Nasscom US CEO Forum projects agentic AI could create an additional $300-400 billion addressable market opportunity for technology services by 2030.
How many Indian tech professionals have AI skills?
More than 2 million professionals in India's tech services sector have AI skills, with between 100,000 and 200,000 at advanced capability levels.
What percentage of Indian tech firms have moved AI to production?
Approximately 25% of technology services companies have moved AI experiments into production environments, according to the forum.
What specific AI services are Indian IT companies targeting?
Key areas include data readiness, application modernization, cybersecurity, AI governance, agentic workflow management, and industry-specific AI solutions.
Need Help Implementing This?
Evaluating AI implementation partners for your enterprise? Logicity can help you assess vendor capabilities and build an AI adoption roadmap. Contact our team for guidance on navigating the AI services landscape.
Source: Tech-Economic Times / ET
Huma Shazia
Senior AI & Tech Writer
Produced with AI assistance and reviewed by the Logicity editorial team. Learn more in our Editorial Policy.
