According to Statista data, Meta, Amazon, Microsoft and Alphabet have dramatically increased their capital expenditures last year, with splurge predicted to accelerate in 2026, fueling an unprecedented AI infrastructure buildout across the tech industry.
Data from Statista illustrates that the combined capital expenditures of Meta, Alphabet (Google’s parent), Amazon, and Microsoft have soared past previous records, with these companies together spending more than $400 billion last year and projected to push well beyond $600 billion this year, led by massive investments in AI data centres and cloud infrastructure.
Large tech firms are pouring money into the hardware and cloud capacity needed to power next-generation technologies, including artificial intelligence and programmable money systems, since computing power has become critical to modern tech competition.
Amazon is expected to commit around $200 billion toward infrastructure like AI, chips, robotics, and low earth orbit satellites, this year, with Alphabet and Meta both significantly upping their spending, and Microsoft also scaling its capital outlays to support Azure and AI workloads.
Capital expenditures at these hyperscalers are now more than double what they were just a few years ago, reflecting the intensifying “AI arms race” and the strategic importance of owning the physical layer beneath cloud and financial services ecosystems.
Among the Big tech firms, Apple seems to lag behind. Per Statista findings, Apple’s capital expenditure in 2025 amounted to $12.7 billion. Although it is a 33% increase compared to the year before, this amount is far from the spending levels displayed by its tech behemoth peers. The iPhone creators have earlier been criticized for its non-participation in AI race, however, as the firm’s recent developments reveal, Apple is not splurging on creating proprietary AI systems in the near future. At least, the tech giant chose Google’s Gemini AI and cloud tech capabilities to power its forthcoming Siri upgrade.
Critics caution that such heavy spending raises questions about return on investment and whether these infrastructure outlays will translate into proportional gains in revenue or market share. However, proponents argue that bolstering global compute capacity is essential for sustaining long-term innovation, especially in areas like autonomous systems, real-time programmable money, on-chain finance, and AI-driven economic agents.
