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As AI takes center stage, major tech players are pouring unprecedented sums into their infrastructures, with spending set to nearly double within two years, reshaping the digital landscape.
Since the release of GPT-4, hyperscaler capital expenditures (capex) have surged by an annualized 70%, driven by significant investments in artificial intelligence. This rapid growth is projected to push total capex spending by major tech giants-Alphabet, Amazon, Meta, Microsoft, and Oracle-to nearly $500 billion in 2025, with a collective spend of $770 billion anticipated for 2026.
The exponential increase in hyperscaler capex reflects the strategic importance of AI in the tech industry. These investments are not just about maintaining current infrastructure but are also geared towards future growth and innovation. As AI becomes more integrated into various business processes, the demand for robust cloud infrastructure and advanced computational resources continues to rise.
Despite the optimistic projections, several risks could impact this trajectory:

The surge in capex presents significant opportunities for both hyperscalers and their stakeholders:
To ensure accuracy, we analyzed financial filings from each company, focusing on cash spending and new finance leases using standardized regulatory tags. This approach provides a consistent measure across different definitions of capex used by various companies.
For instance, Alphabet's capex includes both property and equipment as well as investments in data centers, while Amazon's definition is broader, encompassing everything from fulfillment centers to technology infrastructure.
Analyst projections align with the trend of continued rapid spending growth, though at a slightly slower pace. For example, a 30% annual growth rate in cloud revenue for major players like Alphabet, Amazon, and Microsoft could justify an annual capex spend of around $615 billion by 2027, assuming a 35% operating margin and a three-year payback target.
The hyperscaler capex trend underscores the critical role of AI in shaping the future of technology. While risks remain, the potential for significant returns and market leadership makes this an area of continued focus for tech giants. As these companies continue to invest heavily, they are not only securing their own futures but also driving broader technological advancements.
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About the author
Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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27 February 2026
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