Nasscom Prioritizes AI Integration and Revenue Growth

Nasscom has named Srikanth Velamakanni, co-founder and Group CEO of Fractal, as its new Chairperson and is steering the industry body toward aggressive AI adoption and revenue recovery for Indian IT firms. The priorities include accelerating AI-led services transformation, promoting product engineering and Agentic AI, strengthening responsible AI practices, and building deep-tech capabilities and talent for Human+AI roles. The shift signals a strategic push from services toward owning intellectual property and specialized AI products, with India positioned third on the Stanford Global AI Vibrancy ranking. Nasscom and industry leaders emphasize that execution, integration complexity, and talent development will determine whether AI compresses costs or unlocks a large modernization opportunity for legacy systems.
What happened
Nasscom appointed Srikanth Velamakanni, co-founder and Group CEO of Fractal, as Chairperson and set an agenda focused on accelerating AI-led services transformation, productization, and restoring revenue growth across the Indian IT sector. The industry body is explicitly promoting Agentic AI, responsible AI, deep-tech capability building, and talent development for Human+AI roles while pushing for more intellectual property creation and specialized AI products from Indian firms. Market context cited includes projections of the Indian AI market reaching $131 billion by 2032 and global AI spending exceeding $300 billion in 2026.
Technical details
Practitioners should note the practical priorities Nasscom and the new leadership are emphasizing:
- •AI-first services transformation, integrating models into delivery pipelines and client systems rather than bolt-on tooling
- •Product and `Agentic AI` development, moving firms from project-based services to repeatable IP and agentic systems
- •Responsible AI governance and tooling, aligning deployments with risk controls and client compliance needs
- •Deep-tech capability building and talent pathways for Human+AI roles across engineering, MLOps, and model governance
These priorities imply investment in model engineering, MLOps, data infrastructure, secure model deployment, and cross-functional integration work. Fractal's public positioning highlights continued R&D investment (reported at 5% of revenue), a signal that the industry push will favor engineering-heavy stacks and productized analytics platforms over pure labor arbitrage.
Context and significance
The chair appointment is more than ceremonial; it reframes Nasscom as an industry advocate for product-focused AI capability rather than only a services-export lobby. India already ranks highly on Stanford's Global AI Vibrancy measure, and leaders argue AI will both compress execution costs and create a large modernization market opportunity through legacy system upgrades. That tension matters: if vendors only chase short-term productivity gains, revenue could shrink even as margins rise. The policy and ecosystem response Nasscom coordinates-standards, skilling programs, public-private partnerships, and incentives for IP ownership-will shape whether Indian companies capture higher-value product revenue or remain margin-focused service providers.
Why practitioners should care
This agenda changes procurement and delivery expectations. Enterprise customers will demand integration-grade solutions, documented governance, and product roadmaps rather than ad-hoc model pilots. Expect increased demand for: model fine-tuning for domain tasks, MLOps frameworks for multi-agent orchestration, secure feature pipelines, and developer tooling for agentic workflows. Vendors should prioritize repeatable IP, telemetry-driven operations, and compliance-ready model stacks to be competitive.
What to watch
Track Nasscom's follow-on programs-skilling initiatives, certification frameworks, public-private R&D funding, and pilot industry standards-and which firms convert association guidance into product-led GTM. The economic outcome hinges on execution: successful integration will expand addressable markets; failure will leave services revenues exposed to automation compression.
Scoring Rationale
The leadership change and Nasscom's explicit pivot toward productization and `Agentic AI` are notable for India's AI ecosystem and services model. The move is strategically important for industry direction and revenue implications but is not a global paradigm shift; practical impact depends on execution and policy follow-through.
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