Regulatory Filing Details

Study Overview and Methodology

The TCS Enterprise AI Study, titled "Intelligence that is Real," surveyed 1,333 senior business and technology leaders across 25 countries and 12 industries. Respondents included C-suite executives, divisional leaders, and senior vice presidents and vice presidents from organizations with annual revenues ranging from US$500 million to more than US$20 billion.

Key Findings from the Global Survey

  • Productivity Benefits: 84% of executives surveyed rank productivity improvement as the leading source of value realized from AI investments
  • AI Autonomy: Only 10% of global enterprises allow AI agents to execute decisions without human approval across multiple functions or business areas
  • Security Focus: Security, risk, and governance considerations rank as the leading factor shaping how and where AI systems are developed and deployed, ahead of cost, speed, and ease of deployment
  • Workflow Orchestration: Just 9% of executives report AI agents capable of securely orchestrating workflows across enterprise applications
  • Revenue Impact: 10% of executives indicated that they have seen an uplift in revenue from AI investments

Additional Global Findings

  • AI Economics: 39% of enterprises continue to assess whether AI initiatives generate sufficient value relative to token and compute costs
  • Knowledge Fragmentation: 44% of respondents report that important business knowledge remains embedded within employees or fragmented documentation, potentially limiting AI's ability to consistently access enterprise context
  • Open-Source Adoption: 46% report targeted deployment of open-source AI for selected use cases
  • Workforce Impact: The proportion of leaders saying it is still too early to determine AI's effect on jobs rose from 4% in 2024 to 19% in 2026
  • Value Sources: Productivity remains the leading source of AI value, followed by improvements in customer experience and the development of new products or services

Platform Independence and Sovereignty Concerns

  • Model Independence: 90% of respondents say that model independence is an important factor in AI investment decisions
  • Sovereignty Risks: 34% identify AI sovereignty-related requirements involving control over data location, model choice, and compliance as a high or very high organizational risk
  • Continuity Planning: Only 7% of global respondents report having organization-wide provider-switching continuity plans

Regional Variations

  • North America: 15% of respondents reported that AI is treated as a strategic enterprise capability
  • Europe: 43% cite sovereignty-related requirements as a high or very high organizational risk (particularly acute in Europe)
  • UK and Ireland: Showed comparatively strong levels of AI continuity planning and governance integration

Management Commentary

Amit Kapur, Chief AI and Services Transformation Officer at TCS, stated: "We are seeing significant progress in scaling AI for enterprises. The shift is clearly in AI moving from assisting people to taking more autonomous action with deep access into an enterprise. Productivity is clearly where enterprises are seeing the greatest value from AI today, with 84% of executives ranking it as the leading source of value from their AI investments though 10% have also indicated that they have seen an uplift in revenue. What seems to be holding organisations back – and rightly so – are concerns around security, governance, and resilience. Deploying AI responsibly, with the right guardrails and enterprise controls will be the big focus in the next stage of this journey."

Additional Information

The full report, "TCS Enterprise AI Study: Intelligence that is Real," is available at the company's website. TCS generated consolidated revenues of over US $30 billion in the fiscal year ended March 31, 2026.