AI Models & Platforms
Brookfield Reports AI Factory Pipeline and $25B Quarterly Fundraising

Brookfield Asset Management announced third-quarter results on November 6, 2026, reporting $25 billion of fundraising for the quarter ended September 30, 2026 alongside higher fee-related and distributable earnings. The release also detailed a global AI factory project pipeline, placing the AI buildout within a much broader capital-raising quarter.
Credit contributed $12 billion of the quarterly total and infrastructure $7 billion, so the fundraising spans Brookfield’s businesses rather than representing an AI-only raise. Year-to-date fundraising reached $123 billion. Fee-bearing capital, the committed, pledged or invested capital that entitles Brookfield to fee revenue, grew 13% year over year to $682 billion, driven largely by $157 billion raised in the twelve months ended September 30, 2026.
AI Infrastructure Commitments and Projects
Over the year leading into the results, Brookfield’s AI infrastructure fund and infrastructure debt strategy received a combined $10 billion in commitments, a figure covering both strategies rather than the AI fund alone. The third-quarter supplemental lists the Brookfield Artificial Intelligence Infrastructure Fund as a 2025-vintage vehicle with $3.75 billion of fund capital and $553 million of unrealized investment value at quarter end. The closed-end fund is focused on developing AI infrastructure and designed around demand from hyperscalers, enterprises and governments for scalable, integrated solutions.
Brookfield reports AI factory projects in execution in the United States, Canada, Korea, France and the United Kingdom. That is an execution pipeline, not a statement that all the facilities are operating. During the third quarter, the company signed agreements to jointly develop, deliver and operate an AI factory in the United Kingdom and to invest up to $9 billion in next-generation AI computing infrastructure in Korea through partnerships with NAVER and NVIDIA.
Infrastructure deployment totaled $1.2 billion in the quarter, including $500 million of incremental funding for construction of a U.S. semiconductor fabrication facility. That deployed capital is distinct from commitments and signed development agreements.
Fee Growth and the Oaktree Gain
Fee revenues increased 11% to $1.624 billion. Fee-related earnings, which Brookfield defines as fee revenues less the direct costs of earning them, rose 15% to $864 million from $754 million a year earlier. The fee-related earnings margin at Brookfield’s share was 54%, compared with 55% a year earlier.
Distributable earnings, a company-defined measure of earnings available for distribution to common shareholders or reinvestment, rose 15% to $763 million from $661 million. The distributable-earnings calculation included $48 million of realized carried interest net of costs from technology and private-equity investment monetizations.
Net income was approximately $3.0 billion and included a $2.0 billion non-cash gain from the acquisition and consolidation of Oaktree. That gain helps explain why bottom-line income substantially exceeded the fee-driven measures; it is an accounting effect of the transaction rather than additional quarterly fee revenue.
Uncalled Capital and Potential Fees
At quarter end, Brookfield had $148 billion of uncalled fund commitments across the company. Of that total, $68 billion was not yet earning fees; Brookfield estimates that deploying it would generate approximately $680 million of annual fees. Neither the uncalled balance nor the fee potential is AI-specific. The figures distinguish capital pledged to funds from capital already producing fee revenue.
That distinction is the central qualification to the fundraising momentum. Brookfield has a larger fee-bearing base, signed AI infrastructure agreements and projects in execution, but the additional fees tied to uncalled commitments depend on deployment. The next measurable stage is converting that committed capital into fee-earning investments while advancing the AI factory pipeline from agreements and execution to completed infrastructure.












