Global Enterprises Face AI Scaling Crisis: 77% View AI as Board-Level Priority, But Legacy Infrastructure Remains a Hurdle
A new study conducted by Tata Communications and Bloomberg Media Studios reveals that while enterprises have widely adopted AI as a critical mandate, many are struggling to scale their investments due to foundational technological debt. The research indicates a significant gap between enterprise ambition for AI and the readiness of underlying systems designed to support intensive data workloads.The report highlights that three in four enterprise leaders (77%) now consider AI a board-level priority. However, the momentum is constrained, as 65% of surveyed companies are still operating on legacy or developing infrastructure ill-suited for the massive integration and data demands of enterprise AI. Only 29% of these enterprises report that their existing infrastructure can scale alongside evolving business requirements, noting that AI workloads often surge and shift across environments rather than maintaining a smooth trajectory.
The Five Reinforcing Loops Limiting AI Value
The study surveyed 501 senior executives from companies with revenues exceeding $500 million across North America, Europe, and Asia. It identified five interconnected systems—Foundation, Integration, Skills, Governance, and ROI—that dictate whether an organization’s AI investment will compound in value or remain stagnant. Lasting performance requires these five loops to be aligned; when any single loop falters, momentum weakens enterprise-wide.The research details how constraints are manifesting across these key areas:
| Constraint Area | Key Finding | Data Points Cited |
|---|---|---|
| Foundation | Modernization efforts remain uneven across the enterprises studied. | Fewer than half report fully modernized network connectivity, hybrid deployment flexibility, or data architecture. Enterprises with advanced infrastructure are nearly twice as likely to generate high business value from AI compared to those on legacy systems. |
| Integration | Integrating new AI capabilities with existing enterprise systems poses a major roadblock. | 28% of leaders cite difficulty integrating AI with legacy systems as a primary blocker. Conversely, 67% believe that seamless blending of human and digital automation across channels is essential for successful AI execution. |
| Skills | A significant portion of enterprises faces talent shortages necessary to maximize AI value. | 30% of surveyed companies cite skill gaps as the main barrier. The pressure is intensified among larger firms, with 45% of enterprises generating revenues above $5 billion citing the skills gap. |
| Governance | Oversight processes are often slowing down initiatives rather than guiding them constructively. | Security and compliance reviews were identified by 42% of enterprises as the primary source of approval delays. Integration concerns accounted for 38%, followed by procurement complexity at 38%. |
| ROI (Return on Investment) | Many enterprises see limited or contained value despite making investments. | Nine in ten companies report seeing some value from modernization initiatives, yet more than six in ten have not achieved optimal outcomes. Lack of holistic visibility—when AI, infrastructure, and security are tracked separately—is a key challenge. |
The Need for Unified Infrastructure
Sumeet Walia, President & Chief Revenue Officer at Tata Communications, emphasized that while the general trend towards AI is clear, the real determinant of success is not the AI technology itself, but the enabling infrastructure and integration capabilities.“Our research shows that while enterprise ambition is accelerating, readiness remains uneven,” Mr. Walia stated. “The organizations 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 explained that AI operates as a tightly coupled ecosystem encompassing compute, connectivity, power, and platforms—they are no longer siloed entities but a unified infrastructure. Tata Communications is positioned to assist customers by providing a digital fabric of solutions that facilitates this essential convergence, enabling enterprises to achieve their operational goals at scale.
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