Brookfield: Compute can be financed with infra cost of capital

Brookfield Asset Management’s dedicated AI infrastructure strategy addresses the estimated $7 to $10 trillion in capital required to achieve artificial general intelligence over the next decade. This investment framework targets four primary verticals: data centers, behind-the-meter power, compute infrastructure, and connectivity. With power availability currently serving as the primary industry bottleneck, the strategy emphasizes co-locating compute facilities with clean energy sources. To mitigate risks associated with rapid technological evolution, investments prioritize long-term, take-or-pay contracts with credible hyperscalers, ensuring cash flows remain commensurate with asset lifespans. Furthermore, the rise of sovereign AI has prompted governments in regions like France and Sweden to anchor large-scale developments, providing essential support for local digital ecosystems. By focusing on infrastructure-like contractual profiles, Brookfield aims to lower the cost of capital while scaling the physical backbone of the next industrial revolution.