Brookfield eyes AI data centers in London’s answer to Wall Street

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Brookfield Asset Management plans to develop data center infrastructure within London’s Canary Wharf, targeting the site as a key hub for artificial intelligence growth. Connor Teskey confirmed the strategy on Thursday, identifying AI-driven energy demand as the firm’s primary investment theme. Brookfield, which co-owns the Canary Wharf estate alongside the Qatar Investment Authority, aims to integrate high-density computing facilities into the existing financial district.

Why is Brookfield targeting Canary Wharf for data centers?

Why is Brookfield targeting Canary Wharf for data centers?

Brookfield views the U.K. as a strategic middle ground between the United States and China for AI development. According to Connor Teskey, the lack of a domestic “hyperscaler” means that AI infrastructure in the U.K. will likely be driven by government policy and specific productivity initiatives rather than the hyperscalers.

By placing data centers in Canary Wharf, the firm intends to capitalize on the proximity to major financial institutions and government entities. The project is part of a broader global effort by Brookfield to expand its multi-gigawatt data center portfolio. The firm launched a dedicated AI infrastructure fund last year, which is anchored by Nvidia, and has secured partnership agreements with government bodies in France and Sweden.

How does the firm address concerns over an AI bubble?

Brookfield's Connor Teskey talks AI and private credit on CNBC

Despite market speculation regarding a potential bubble in the data center sector, Brookfield maintains a positive outlook based on long-term contracts. Teskey stated that the firm prioritizes agreements with high-quality counterparties to mitigate risk. He noted that while there are “pockets of froth” in the current market, the underlying demand for energy and digital infrastructure remains robust.

Brookfield’s investment thesis relies on three core trends:

  • Soaring energy demand: The power requirements for AI hardware necessitate significant investment in grid capacity and renewable energy.
  • Greater digitalization: The ongoing shift of enterprise workloads into cloud and AI-ready environments.
  • Rewiring of global supply chains: The global transition toward more localized, resilient supply chain infrastructure.

What is the outlook for U.K. AI infrastructure?

The U.K. model is expected to favor infrastructure projects driven more by governments than by the hyperscalers. Brookfield’s focus on the U.K. market aligns with this trend, as the firm seeks to provide the physical foundation necessary for AI integration.

Teskey emphasized that the firm is maintaining strict investment discipline to navigate the current environment. He suggested that the combination of rising energy needs and the productivity gains offered by AI makes the sector “incredibly attractive” for long-term capital allocation. The expansion into Canary Wharf serves as a tangible example of how the firm is deploying capital to meet these infrastructure requirements.

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