Friday, August 7, 2026
DarkSubscribe
AI Infrastructure · News & Analysis
HomeData CentersReport
Data Centers · Report

Goldman Sachs projects rapid AI-driven datacenter expansion in India leveraging favorable demographics and Middle East proximity.

India emerges as third major AI infrastructure hub, addressing talent scarcity and enabling cost-efficient regional compute beyond U.S.-Europe concentration.
Trade pressSlicast · June 22, 2026 · Global · Source: news.webindia123.com
importance 75

India, Japan, and the Philippines have emerged as the primary growth engines in the Asian region, each driven by distinct factors. Government-backed initiatives drive aggressive expansion in Japan, while reduced red tape aids growth in the Philippines. India stands out due to its structural and geographic advantages. The broader outlook for data centers across Asia remains exceptionally robust, featuring a broad and steep growth curve. "The outlook for data centers in Asia is exceptionally robust, characterized by a broad and steep growth curve," the report stated. "Traditional cloud workloads continue to grow alongside new GPU and AI-first demand, expanding the total market size rather than simply redistributing it."

Regional operators face significant infrastructure bottlenecks, particularly regarding power availability, which affects construction timelines and delivery capabilities across Asia. Resolving grid infrastructure issues typically requires years or decades, making power a primary constraint. To circumvent resource limitations, operators are adopting tailored regional approaches. In Mumbai, facilities are sourcing treated wastewater from nearby purification plants rather than drawing from potable water sources, allowing them to balance water scarcity while achieving highly efficient power usage effectiveness levels.

The rise of artificial intelligence is fundamentally altering customer timelines and infrastructure designs. Single-tenant AI customers are committing to orders well before construction starts to secure bespoke designs, whereas traditional multi-tenant customers expect much shorter lead times. "The rise of AI is fundamentally changing customer timelines and infrastructure needs," the report added. "Single-tenant AI customers are committing to orders well before construction starts to lock in bespoke designs, whereas traditional multi-tenant customers expect much shorter lead times."

Geopolitics and regulatory shifts have introduced higher compliance overhead across the sector, forcing operators to extend due diligence beyond direct customers to ultimate end-users and supply chain participants. "Furthermore, new AI-first customers and neoclouds move at a radically different commercial speed, pushing for modular and prefabricated designs to compress delivery timelines," the report added. Despite these operational adjustments, the underlying demand momentum for data center capacity in the region has not been deterred.

Read the original
Goldman Sachs projects rapid AI-driven… · Slicast