The Cloud's Foundation Is Shaking
Infrastructure-as-a-Service, or IaaS, is the fundamental building block of the cloud. Think of it as renting the raw computing power—servers, storage, and networking—from providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. For
years, businesses have migrated to IaaS to reduce costs, increase flexibility, and shed the burden of managing physical data centres. It allows companies to scale up or down on demand, paying only for what they use. This model has been the bedrock of digital transformation, but the explosive arrival of generative AI has created a demand shock, transforming a steady growth curve into a near-vertical climb.
AI: The Insatiable Engine of Growth
Why is AI causing such a dramatic spending surge? The answer lies in its immense appetite for computational resources. Training large language models (LLMs) and running AI applications, a process known as inference, requires specialised, high-performance hardware, particularly Graphics Processing Units (GPUs). Traditional infrastructure, built on standard CPUs, is ill-equipped for these parallel processing tasks. According to Gartner analyst John-David Lovelock, building the compute capacity for AI is the largest infrastructure project ever attempted by humanity. As companies across sectors rush to embed AI into their products and operations, they are finding that their existing cloud infrastructure is not enough. This is driving a massive wave of investment into what is now called 'AI-optimised IaaS'.
Decoding the 29.3% Surge
The latest forecast from Gartner projects that worldwide spending on IaaS will jump from $222 billion in 2025 to $287 billion in 2026, marking a 29.3% increase. This growth is a core component of a broader boom in IT spending, which is now expected to hit $6.37 trillion in 2026. The spending is not just on more infrastructure, but on more expensive and specialised infrastructure. This includes not only GPUs but also high-speed networking and optimised storage systems designed to handle the massive datasets that AI models feed on. Interestingly, spending on AI 'inference'—the use of trained models to generate results—is projected to overtake spending on 'training' in 2026, signalling a market that is maturing from development to widespread application.
The Ripple Effect on Indian Enterprises
For businesses in India, this global trend has direct and immediate implications. Public cloud spending in India is projected to reach $17.5 billion in 2026, a 28.1% increase from the previous year, with IaaS expected to see the fastest growth at 40%. As Indian firms adopt AI for everything from coding assistance to customer service, they are facing rapidly rising cloud bills. The initial assumption that AI would simply reduce labour costs is being challenged by infrastructure spending that is growing even faster. This creates a new strategic challenge for CIOs: how to fund essential AI initiatives while managing budgets strained by higher hardware and cloud subscription costs. Many Indian companies are also dependent on US-based cloud providers, making them susceptible to global pricing trends and currency fluctuations.
A New Arms Race for Cloud Giants
The massive demand is igniting a new competitive fire among the major cloud providers and data centre operators. Access to power, advanced chips, and the ability to execute massive construction projects quickly are becoming key differentiators. In India, large domestic conglomerates and global hyperscalers are investing heavily in new data centre campuses equipped with GPU-dense clusters to capture this opportunity. This infrastructure build-out is essential to support not only enterprise AI adoption but also national priorities around digital sovereignty. However, this rapid expansion also faces challenges, including securing sufficient power and managing the reliance on imported GPU technology. For customers, this intense competition may eventually lead to more options, but in the short term, the focus is squarely on building capacity to meet the unprecedented demand.
