The global race for artificial intelligence dominance is triggering one of the biggest infrastructure spending cycles the technology industry has ever witnessed. Large technology companies are pouring billions of dollars into data centres, cloud infrastructure and AI computing systems as competition intensifies across the AI ecosystem.
According to CBRE Research, capital expenditure by leading technology firms is expected to rise sharply through 2027, driven primarily by investments in AI training, cloud expansion and AI inference capabilities.
The report highlights that the US hyperscalers continue to dominate the AI infrastructure build out. Companies including Amazon, Google and Microsoft are investing aggressively to strengthen their positions in the rapidly evolving AI market.
“CapEx on AI is experiencing unprecedented growth as tech firms invest in necessary, massive infrastructure to secure a dominant position in the AI race,” the report stated.
Amazon has reportedly announced plans to raise its AI related spending to nearly $200 billion by 2026, while Google is expected to invest around $180 billion during the same period. These investments are focused on hyperscale data centres, advanced cloud infrastructure and AI model training systems.
The spending surge is not limited to the United States. Major American hyperscalers are expanding rapidly across Asia Pacific as demand for cloud services and AI applications increases globally. New data centre facilities are being planned in multiple regional markets to support future workloads.
Chinese technology firms are also accelerating their investments, although at a comparatively smaller scale. ByteDance is expected to invest nearly $23 billion in AI infrastructure by 2026, while Tencent and Alibaba are planning additional spending to strengthen their cloud and AI ecosystems.
Industry estimates indicate that overall capital expenditure by major technology companies could cross $800 billion by 2027, reflecting the extraordinary pace of AI adoption worldwide.
The infrastructure requirements for AI are significantly different from traditional computing. AI workloads require higher rack density, larger power capacity and advanced cooling systems, forcing operators to redesign data centres for greater efficiency and performance.
Experts believe the ongoing AI investment wave will fundamentally reshape the future of global digital infrastructure, making data centres the foundation of the next era of artificial intelligence driven economic growth.
