Brookfield Asset Management on Wednesday unveiled one of the largest financing initiatives yet for artificial intelligence infrastructure — a sweeping $100 billion program developed in partnership with Nvidia and the Kuwait Investment Authority (KIA).
The announcement lands at a moment when demand for computing power, energy supply, and physical space for AI workloads is rising at a pace that global investors now describe as unprecedented.
The backbone of the initiative is the newly launched Brookfield Artificial Intelligence Infrastructure Fund, which targets $10 billion in equity commitments. Brookfield said the fund has already secured half of that amount, with $5 billion pledged by Brookfield itself, Nvidia, and KIA. With co-investor capital and financing layered on top, the fund is expected to acquire up to $100 billion worth of AI infrastructure assets over time — a portfolio spanning energy facilities, land, hyperscale data centers, and compute capacity.
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Brookfield, a heavyweight in global infrastructure and alternative investments, noted that it has already deployed more than €100 billion across the AI value chain, from digital infrastructure to renewable power and semiconductor manufacturing. The new program pushes the company deeper into the heart of an arms race among tech firms, chipmakers, and cloud providers, all scrambling to secure the physical backbone needed for next-generation AI systems.
A rapid surge in AI adoption is intensifying the scramble for these resources. Companies across industries are racing to lock in access to the high-performance computing clusters that train and run large models, and to secure the electricity required to power them. This has created a boom in data center construction, land acquisition, and long-term energy contracting, turning infrastructure — not just chips — into a defining bottleneck for AI development.
Sikander Rashid, Brookfield’s head of AI infrastructure, called the moment “one of the largest infrastructure buildouts in history” and warned that the world will need an estimated $7 trillion in capital over the next decade to keep pace with AI demand. That figure underlines the energy-intensive nature of modern AI models. Training and running them requires enormous volumes of power, far outstripping the capacity built during previous waves of digital expansion.
The fund’s first commitments are already underway. They include a $5 billion framework agreement with Bloom Energy to deploy up to 1 gigawatt of behind-the-meter power solutions for data centers and AI factories — a move aimed at supplementing strained power grids and reducing exposure to energy shortages. Behind-the-meter systems allow operators to generate power on-site, which has become critical for facilities that cannot afford downtime or an unstable supply.
Brookfield has also been moving aggressively in Europe. Earlier this year, it announced plans to invest up to 95 billion Swedish crowns (about $10 billion) in an AI data center campus in Sweden, tapping into the region’s reliable energy supply and cooling advantages. In France, the company committed €20 billion to AI-related projects, including facilities that support cloud providers and advanced compute clusters.
The partnership with Nvidia marks another sign of the chipmaker’s widening role not only as a supplier of GPUs but as a strategic investor shaping the broader AI ecosystem. As the world’s largest designer of AI chips, Nvidia has been pushing into data centers, networking technologies, and infrastructure development to ensure that the companies training large models have the capacity required for its hardware.
The involvement of the Kuwait Investment Authority highlights the growing interest among sovereign wealth funds in the long-term economics of AI infrastructure. These investors, including funds from the Middle East, Europe, and Asia, have been pouring billions into data centers, energy assets, and semiconductor supply chains, viewing AI as a decades-long growth frontier.
Brookfield’s new program amplifies the investment wave sweeping across the sector, underscoring that the AI era is no longer defined solely by algorithmic breakthroughs or frontier models. It is increasingly shaped by an industrial-scale buildout of land, power, and compute.