AI-related capital expenditures surpassed $360 billion in 2025, reflecting significant commitments from major hyperscalers in data centers and computing infrastructure, according to the BlackRock Investment Institute. These investments are supported by strong operating cash flows and long-duration debt issuance, indicating confidence in the returns from this spending cycle.
Infrastructure Buildout
The current AI infrastructure build is characterized by long-term investment horizons, with a focus on essential resources such as power, memory, chips, and data centers. Morgan Stanley Research has identified the intersection of AI adoption and electricity demand as a critical investment theme for 2026, emphasizing that existing grid infrastructure is not designed to accommodate the increasing energy needs of expanding data centers.
Energy Demand as a Constraint
Natural gas is gaining attention as a potential bridging fuel to meet the energy demands of AI computing. The rapid growth in AI capabilities is creating a surge in electricity consumption, which could become a limiting factor for further development in this sector. Investors are advised to consider the implications of energy supply on the AI investment landscape, rather than solely focusing on software and semiconductor companies.
For further insights, see US Heatwave Strains Power Grid Amid AI Data Centre Growth and OECD Reports Record Tourist Arrivals Amid Geopolitical.
The surge in AI-related capital expenditures is likely to affect energy sectors, particularly natural gas, as demand for electricity from data centers increases. Investors should monitor energy supply dynamics as they relate to AI growth.
Watch for the upcoming midyear outlook from the BlackRock Investment Institute, which will provide further insights into the AI infrastructure investment landscape.