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Building durable AI advantage
Five reinforcing loops that decide which enterprises lead at scale.
"AI is no longer just a technology conversation, it's an infrastructure imperative. Enterprises face a widening gap between AI ambition and digital readiness. Those who treat network modernisation and secure infrastructure as afterthoughts risk irrelevance. Tomorrow's leaders will make infrastructure transformation the strategic foundation of AI, embedding speed, resilience, security, and trust into the very fabric of their enterprise."
— Manish Gupta, Group Chief Information Officer, Aditya Birla Group
According to Building Durable AI Advantage, a report commissioned by Tata Communications and published by Bloomberg Media Studios, three in four enterprise leaders (77%) now treat AI as a board-level priority. Yet 65% are still operating on legacy or developing infrastructure not designed for the data intensity and integration demands of enterprise AI. Just 29% say their infrastructure can scale with evolving business demands, a critical gap, given that AI workloads do not rise in a smooth line. They surge, shift across environments and place pressure on the weakest parts of the system.
Key takeaway
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Infrastructure gap
Most enterprises want to scale AI, but 65% still rely on outdated infrastructure, limiting their progress.
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Success factors
Success with AI depends on five factors working together - foundation, integration, skills, governance, and ROI.
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Barriers
Skills gaps and integration with legacy systems are major obstacles to realizing full AI value.
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