A new global study from Tata Communications and Bloomberg Media Studios reveals that enterprises are not struggling to adopt artificial intelligence (AI)—they are struggling to scale it due to foundational technology debt. The report, titled Building Durable AI Advantage, surveyed 501 senior executives across North America, Europe, and Asia at enterprises with revenues exceeding $500 million.
Board-Level Priority Meets Infrastructure Reality
According to the findings, 77% of enterprise leaders now treat AI as a board-level priority. However, 65% are still operating on legacy or developing infrastructure not designed for the data intensity and integration demands of enterprise AI. Only 29% say their infrastructure can scale with evolving business demands—a critical gap given that AI workloads surge and shift across environments, placing pressure on the weakest parts of the system.
The Five Reinforcing Loops
The study identifies five interconnected systems—or 'loops'—that determine whether AI investment compounds in value or plateaus over time:
- Foundation: Infrastructure modernisation is uneven. Fewer than half of enterprises report fully modernised network connectivity, hybrid deployment flexibility, or data architecture. Enterprises with advanced infrastructure are nearly twice as likely to report high business value from AI compared to those on legacy systems.
- Integration: 28% of leaders cite difficulty integrating AI with legacy systems as a primary roadblock to value, while 38% say integration concerns delay approval and procurement cycles. Two-thirds (67%) view seamless blending of digital automation and human interaction as critical to AI execution.
- Skills: 30% of enterprises cite skill gaps and a shortage of specialised talent as a primary barrier to realising AI value. The pressure intensifies with scale—45% of enterprises with revenues above $5 billion cite the skills gap, well above the study average.
- Governance: 42% of enterprises identify security and compliance reviews as the largest source of approval delays, followed by integration concerns (38%) and procurement complexity (38%). As stakeholder committees grow for higher-value investments, governance risks becoming a brake on scale.
- ROI: Nine in 10 enterprises see some value from modernisation initiatives, yet more than six in ten say they have not reached optimal outcomes. When AI, infrastructure, and security are tracked in isolation, the broader impact stays hidden, and value appears contained within individual programmes.
Pressure Points Across the Loops
The research highlights that enterprises can generate isolated gains even when a single loop is under strain. However, lasting performance depends on alignment across all five loops. When the loops reinforce one another, progress accelerates and advantages compound; when any one stalls, constraints spread and momentum weakens.
Mumbai, India-based Tata Communications, which sponsored the report, emphasized that AI investment is no longer in doubt, but the systems beneath it may not be built to carry it at scale. The report serves as a call to action for enterprises to address foundational tech debt to unlock durable AI advantage.
