By Vikram K., Chief Revenue Officer, Digital Connexion
Artificial intelligence (AI) is steadily moving from experimentation to mainstream adoption, reshaping how organisations invest in digital infrastructure. As organisations move beyond pilot projects and scale AI across business operations, the conversation is shifting from AI models alone to the infrastructure that powers them. Increasingly, success will depend on whether digital infrastructure can consistently deliver the power, performance, resilience and operational reliability needed to support AI at scale. This shift is already reflected in global investment trends. According to IDC, spending on AI infrastructure reached a record ~$90 billion in the fourth quarter of 2025, marking a 62 per cent year-on-year increase. India is following a similar trajectory. As one of the world’s fastest growing digital economies, the country’s AI market is expected to reach $20 billion-$22 billion by 2027, growing at a CAGR of around 30 per cent. As AI adoption accelerates, infrastructure is evolving from a supporting function into a critical business capability.
Power is redefining AI readiness
The rapid growth of AI is fundamentally changing how organisations view power infrastructure. What was once regarded as a supporting utility is now becoming a strategic enabler of AI adoption. As high-density computing environments become more common, access to reliable, scalable and resilient power will increasingly determine how effectively AI workloads can scale, while maintaining continuous availability. The International Energy Agency estimates that electricity consumption from data centres worldwide could more than double to approximately 945 TWh by 2030, with AI expected to be a major contributor to this increase. This growing demand is redefining infrastructure priorities. Reliable power is no longer simply about keeping systems operational; it has become central to business continuity, operational resilience and long-term competitiveness.
Meeting these expectations requires more than simply adding power capacity. Organisations are increasingly adopting resilient power strategies that combine dedicated GIS substations, captive power arrangements, intelligent power management systems and built-in redundancy to ensure uninterrupted AI operations. Long-term power purchase agreements (PPAs) and partnerships with renewable energy providers can improve energy procurement certainty, support sustainability goals and provide greater cost predictability.
Performance depends on the entire infrastructure ecosystem
As organisations generate and process growing volumes of data across distributed locations, infrastructure must support efficient data exchange, low-latency access and evolving data governance requirements. Extending compute capabilities closer to where data is created can improve application performance, reduce latency and help organisations address data residency and governance needs. This enables more effective processing of distributed data and supports near-real-time insights across increasingly distributed digital environments.
This integrated approach is becoming increasingly important as AI deployments grow in scale and complexity. Organisations are no longer evaluating infrastructure through isolated components. Instead, they are building interconnected digital ecosystems where power, connectivity, compute, storage and data movement function as a unified platform capable of supporting continuous AI operations.
Building this level of resilience also improves infrastructure efficiency, creating a stronger foundation for sustainable AI growth. When digital infrastructure is designed to optimise power utilisation, reduce unnecessary data movement and improve operational efficiency, organisations are better positioned to support AI growth, while managing energy consumption responsibly.
Sustainability is strengthening business resilience
As AI adoption accelerates, sustainability must evolve alongside performance. Higher-density AI workloads are placing unprecedented pressure on energy resources, making efficiency not just an environmental objective but a business imperative. According to the IEA’s 2025 Energy and AI report, the rapid expansion of AI is expected to significantly increase electricity demand from data centres, reinforcing the need for more energy-efficient, resilient and future-ready digital infrastructure. As a result, infrastructure investments are increasingly focused on intelligent power management, advanced cooling and resilient electrical systems that can support AI at scale, while improving operational efficiency.
Building resilient AI infrastructure also requires a dependable approach to energy sourcing. Long-term PPAs enable infrastructure operators to secure reliable renewable power over extended periods, improving energy cost predictability, while supporting sustainability objectives.
Conclusion
The next phase of AI leadership will not be determined by the sophistication of AI models alone. It will also depend on the strength of the infrastructure that powers them. Power, performance and sustainability are no longer separate priorities. Together, they form the foundation of resilient, digital ecosystems capable of supporting AI at scale. w
