en.Wedoany.com Reported - The Canada Pension Plan Investment Board (CPP Investments) has invested $1.75 billion (C$2.4 billion) in a plan led by EQT, specifically dedicated to the construction and expansion of AI data center infrastructure. The transaction, completed after receiving customary approvals, marks a further move by the pension fund into the global data center market, one of the fastest cycles of capital flow.
EQT will inject this new capital into EdgeConneX, a data center developer it acquired in 2020. Since the acquisition, EdgeConneX has significantly expanded its business scale, with capacity growing approximately 20-fold and operations now spanning over 20 countries. The company also plans to add more than 10 gigawatts of capacity in the coming years, an infrastructure scale sufficient to power millions of homes, matching the capacity demands of global AI players.
According to Goldman Sachs Research, global data center electricity demand could grow by approximately 160% from 2023 levels by 2030, primarily driven by AI training clusters and inference services. The International Energy Agency also noted in its 2024 assessment that data centers consumed about 460 terawatt-hours of electricity in 2022, potentially reaching around 1,000 terawatt-hours by 2026. These figures explain why large financial institutions are increasingly inclined to position themselves in long-term infrastructure assets, which are designed to deliver predictable returns over decades.
A global head of real assets at CPP Investments stated that this transaction increases the fund's exposure to sectors driven by persistent, long-term demand factors. Amid debates in the stock market over whether AI and semiconductor stocks are sliding into speculative territory, longer-lived data center assets are attracting institutional investors seeking stability.
Across the broader industry, power availability and land acquisition remain long-term constraints. Uptime Institute's 2024 report continues to list these constraints as top concerns for operators, further enhancing the value of platforms like EdgeConneX that already control key sites and power capacity. Meanwhile, efficiency guidance from bodies such as the National Institute of Standards and Technology (NIST) has become more critical, as AI-grade facilities often require high-density cooling designs. Discussions on water usage, heat recovery, and direct-to-chip cooling have shifted from theory to practice, particularly for hyperscale and colocation operators targeting AI workloads.
McKinsey's 2024 projections indicate that meeting global data center capacity demand through 2030 could require cumulative spending of approximately $6.7 trillion (source). Such capital needs create space for pension funds, sovereign wealth funds, and infrastructure investors to play specialized roles in financing physical infrastructure. Despite recent volatility in AI and chip stocks, global CEOs still expect AI-related capital expenditures to support economic growth. The power and computing density required for AI workloads far exceed those of traditional workloads, and power availability often dictates where data centers can actually be built.
In this context, the strategic positioning of CPP Investments and EQT enables EdgeConneX to deliver large-scale, AI-ready capacity. The company operates in established hyperscale regions and hybrid edge markets, and crucially, it focuses on securing sites with substantial power supply. Given that power generation and transmission capacity in many regions cannot expand quickly enough to meet demand, operators are increasingly evaluating multi-year power procurement strategies.
The transaction with EQT further reflects CPP Investments' strategy to acquire physical assets supporting AI development. This strategy embodies a view that digital infrastructure anchored by data centers offers a long runway for institutional capital. This latest commitment provides EQT and EdgeConneX with another substantial pool of funds to race to meet growing AI infrastructure demand across multiple continents.
