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AI can't copy deep enterprise context: Nasscom chief Rajesh Nambiar

16 Feb 2026
2 min

Impact of AI Tools on Indian IT Services

Indian IT services have recently experienced a significant selloff, raising existential questions about their future amidst the rise of AI tools like Anthropic’s Co-work. However, Nasscom President Rajesh Nambiar argues that these concerns are exaggerated.

Role of AI Tools

AI tools such as Claude Co-work have significantly improved productivity and performance, moving beyond simple coding assistance to orchestrating entire workflows.

  • These tools produce outputs rapidly, offering notable productivity gains.
  • However, traditional IT environments are complex, involving legacy systems, regulatory obligations, and cybersecurity needs.
  • Services companies are essential for integrating, modernizing, and managing these complex systems.

Comparative Technological Shifts

The ERP wave, involving platforms like Oracle and SAP, is a historical parallel where it was believed services companies would become redundant. The opposite occurred, increasing demand for system integrators.

  • The rise of agentic AI, although different, presents similar opportunities.
  • Service firms can evolve into AI orchestration partners, integrating AI frameworks into enterprise systems.

Long-term Need for System Integrators

While AI tools may become integral, the need for system integrators will evolve rather than disappear.

  • Data readiness and governance remain massive tasks requiring human expertise.
  • Services firms must evaluate AI frameworks and align them with business objectives and governance standards.
  • Complex enterprise architectures ensure continued relevance of services organizations over the next 10-15 years.

Structural Shifts in the Industry

Two notable shifts are the pressure on entry-level hiring and concerns about growth rates.

  • There is a divergence between revenue growth and employee growth, emphasizing efficiency.
  • The industry expects a period of stabilization followed by a new growth trajectory.
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RELATED TERMS

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Data readiness and governance

Data readiness refers to ensuring that data is in a suitable format and quality for analysis and use. Data governance involves the management of data availability, usability, integrity, and security throughout its lifecycle, requiring significant human oversight and expertise.

AI orchestration partners

A role that IT service firms can evolve into, focusing on integrating various AI frameworks and tools into existing enterprise systems to manage and optimize their operations.

Agentic AI

A subfield of Artificial Intelligence focused on developing autonomous agents that can perceive their environment, make decisions, and take actions to achieve specific goals, often in collaboration with humans.

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