Brookfield Asset Management is accelerating a major expansion into AI-linked infrastructure, committing capital across data centres, power systems and compute-related assets as part of a broader strategy to raise around $50bn focused on enabling AI growth, according to a report by Bloomberg.
A key early investment includes up to $5bn in Bloom Energy, whose systems are being deployed at large-scale data centres to help meet the rising electricity demands of AI workloads. The deal forms part of Brookfield’s newly launched AI-focused fund and broader infrastructure push.
The investment manager is targeting a wide range of assets that underpin the AI economy, including power generation, transmission networks and hyperscale data centre campuses. One flagship project includes infrastructure linked to a large Oracle-backed data centre development in New Mexico, which is intended to support high-intensity computing workloads for AI systems.
Brookfield’s strategy reflects a view that AI infrastructure could evolve into a multi-trillion-dollar asset class, with the firm positioning itself as a long-term provider of the physical backbone for the sector. It is also seeking to significantly expand its infrastructure platform, with ambitions to scale fee-bearing assets and close the gap with major private markets peers.
The push spans multiple fundraising vehicles, including a main infrastructure fund, dedicated debt strategies and a thematic AI vehicle supported in part by Middle Eastern capital. Together, these initiatives form a multi-pronged effort to capture demand for capital-intensive digital infrastructure.
However, the strategy has drawn scrutiny from some investors who question whether certain AI-related assets, particularly newer business models such as GPU rental or “chips-on-demand” services, fit traditional definitions of infrastructure due to technology obsolescence risk.
Brookfield executives argue that long-term contracts, investment-grade counterparties and structured cash flows help mitigate these risks, framing the strategy as focused on durable, cash-generating assets rather than speculative technology bets.
The firm’s infrastructure portfolio already spans more than $250bn and includes extensive data centre investments and partnerships across the digital and energy transition space. It has also been involved in large-scale deals supporting chip manufacturing capacity expansion and energy supply agreements tied to major technology companies.
While demand for AI-related infrastructure has attracted strong capital inflows from institutional investors, some pension allocators have expressed caution about the rapidly evolving risk profile of the sector, particularly given uncertainty around future compute requirements and technological change.
Brookfield maintains that AI infrastructure will remain a central pillar of its long-term investment strategy, with management describing the opportunity as part of a broader transformation in global physical infrastructure driven by digitalisation and compute-intensive technologies.
