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We engaged with IT professionals from Top Tier firms, including senior technology leaders and delivery heads, to understand the industry perspective on AI’s potential impact. Building on industry perspective, AI is reshaping the IT services landscape; however, enterprise complexity, governance requirements and integration challenges are expected to moderate the pace of disruption

* Moderate Pricing Deflation: With proactive GenAI adoption, pricing deflation in existing engagements is expected to remain limited at ~2–3%. Complex enterprise environments, legacy dependencies and integration challenges act as buffers against aggressive pricing compression. ? Enterprise Complexity Limits Rapid Disruption: AI adoption in large enterprises is structurally slower. Mission-critical systems often involve multi-decade architectures, strict compliance requirements and complex integrations, making system integrators essential for implementation and governance.

* Capability Maturity Model Integration (CMMI) Level-5 firms may face AI-driven productivity pressure as process-heavy tasks like coding, testing and maintenance become automated, challenging the traditional labour-arbitrage model. However, their strong process discipline, data assets, and enterprise trust enables scalable AI adoption. Industries impacted: Aerospace, Defence, BFSI, HLS, Government IT Contracts and large enterprise software outsourcing.

* Data Security Remains a Key Constraint: Several global enterprises remain cautious about sharing sensitive data due to security, privacy, and regulatory concerns. Since AI models rely heavily on data access, these restrictions may limit the pace and extent of AI-led disruption. ? Human Oversight Remains Critical: While AI will gradually introduce non-linearity in workforce structures, critical enterprise processes will still require human monitoring and decision-making by senior professionals to ensure accuracy, compliance, and accountability.

* Overall, the sector is entering a structural transition, with winners defined by their shift to AI-enabled, outcome-led platform.

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