Key Quantitative Findings

The report is based on a comprehensive survey of 501 senior executives across North America, Europe, and Asia at enterprises with revenues above $500 million, conducted between December 2025 and January 2026. Key markets included the US, UK, Germany, France, Singapore, Hong Kong, China, India, and the Benelux/Nordic regions. 65% of respondents were C-suite executives, and 35% were VP-level or above.

Critical statistics revealed:

  • 77% of enterprise leaders now treat AI as a board-level priority
  • 65% of enterprises operate on legacy or developing infrastructure not designed for AI demands
  • Only 29% report their infrastructure can scale with evolving business demands
  • 30% cite skill gaps and shortage of specialized talent as primary barrier to AI value realization
  • 42% identify security and compliance reviews as the largest source of approval delays
  • 38% cite integration concerns and procurement complexity as contributing to delays
  • 67% view seamless blending of digital automation and human interaction as critical to AI execution
  • 45% of enterprises with revenues above $5 billion cite skills gap (above study average)
  • 90% of enterprises see some value from modernization initiatives, but 60%+ haven't reached optimal outcomes

Five Critical Systems (Loops) Identified

The report identifies five reinforcing systems that determine AI investment value:

1. Foundation: Infrastructure modernization - fewer than half of enterprises report fully modernized network connectivity, hybrid deployment flexibility, or data architecture

2. Integration: Interoperability across systems - 28% cite difficulty integrating AI with legacy systems as primary roadblock

3. Skills: Capability distribution - talent shortage affecting scalability

4. Governance: Decision velocity - compliance and security reviews causing delays

5. ROI: Visibility of value - tracking isolated rather than integrated impacts

Management Commentary

Sumeet Walia, President & Chief Revenue Officer of Tata Communications, stated: "AI has become one of the defining business priorities of our time, but the real differentiator is no longer AI itself — it's the infrastructure and integration that enable AI to deliver value at scale. Our research shows that while enterprise ambition is accelerating, readiness remains uneven. The organisations that will lead in the years ahead are those investing in the foundations that connect people, systems, data and intelligence across the enterprise."

He further emphasized: "AI is a tightly coupled ecosystem of compute, power, connectivity and platforms, which are no longer independent systems – they are becoming one unified infrastructure. AI is accelerating this convergence, which Tata Communications addresses through its digital fabric of solutions."

Additional Information

The full report is available for download at the provided link. Media contact is Judhajit Basu. The document includes standard forward-looking statements and cautionary language regarding potential risks and uncertainties that could cause actual results to differ materially from projections.

Financial Impact

No specific financial impact or quantitative business implications for Tata Communications are disclosed in this announcement. The document serves as a research publication and industry insight sharing rather than a financial update.