Tech services to remain relevant in AI era: Nasscom US CEO Forum - Business Standard

2026-06-26 · Source: artifical intelligence via Google News · Field: Business & Management — Consulting & Professional Services, Corporate Strategy & Leadership, Operations & Process Management · Depth: Fundamental Awareness, quick

Summary

The Nasscom US CEO Forum asserts that India's technology services sector will remain crucial for global enterprise transformation in the artificial intelligence era, despite changes in service delivery. Indian tech companies anticipate AI expanding market opportunities in enterprise modernization, data, AI governance, and intelligent operations, projecting a \$300-400 billion global AI services opportunity by 2030. Currently, 25% of these companies have moved AI experiments into production, generating \$10-12 billion in AI services revenue. Over 2 million professionals are AI-skilled, with 100,000-200,000 trained in advanced AI, and 85% of providers utilize agentic AI platforms. The sector's value will increasingly lie in orchestrating models, applications, data platforms, cloud environments, cybersecurity, and regulatory requirements into reliable, scalable operating models.

Key takeaway

For Directors of AI/ML evaluating partners for enterprise AI adoption, recognize that Indian technology services are uniquely positioned to manage complex deployments. Your focus should shift from mere task automation to securing integrated AI systems, ensuring data readiness, and robust governance. Prioritize partners demonstrating expertise in orchestrating models, cloud environments, and cybersecurity controls to achieve scalable, reliable AI operations, capitalizing on the projected \$300-400 billion opportunity by 2030.

Key insights

Indian tech services are poised to lead the \$300-400 billion enterprise AI market by 2030, transforming operations rather than being replaced.

Principles

• AI transforms, not replaces, tech services.
• Enterprise AI demands secure, governed deployment.
• Value shifts to system orchestration and integration.

In practice

• Deploy agentic AI platforms for efficiency.
• Focus on AI governance and cybersecurity.
• Shift BPS to intelligent operations.

Topics

• AI Services Market
• Enterprise AI Adoption
• IT Services Transformation
• AI Governance
• Agentic AI
• Digital Transformation

Best for: Director of AI/ML, VP of Engineering/Data, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.