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Brookfield Asset Management Targets Canary Wharf for AI Data Centers
Brookfield Asset Management has announced plans to erect artificial‑intelligence (AI) data centers in London’s Canary Wharf, the city’s high‑rise financial heart. In a Thursday interview on CNBC’s Squawk Box Europe, CEO Connor Teskey highlighted that AI infrastructure and the energy it consumes are the firm’s top priorities.
Brookfield, which steers more than US$1 trillion across real estate, infrastructure, renewables and private markets, already owns a multi‑gigawatt portfolio of data centers worldwide. The company is expanding that footprint, with several new sites either under construction or in the planning stages. In addition to its global data‑center investments, Brookfield co‑owns and manages Canary Wharf through the Canary Wharf Group property company, alongside the Qatar Investment Authority.
Teskey noted that the United Kingdom and Europe occupy a "middle ground" between the United States and China, creating a unique window for AI infrastructure. He pointed out that the U.K. lacks a domestic hyperscaler, meaning that the growth of AI capacity here will likely be driven more by government initiatives than by large private cloud operators. Brookfield has already launched a dedicated AI infrastructure fund anchored by Nvidia in November of last year and has secured AI partnerships with the governments of France and Sweden.
The CEO identified three forces reshaping the investment landscape: soaring energy demand, increased digitalization, and the rewiring of global supply chains. These dynamics, he said, generate a substantial need for capital. The combination of higher energy consumption and the productivity gains from AI makes investment in AI data centers highly attractive.
While Teskey acknowledged that some market segments may show signs of froth, he stressed that this does not diminish the overall potential of the sector. He emphasized that building data centers under long‑term contracts with reliable counterparties provides a solid foundation for growth. The firm plans to deploy new facilities in Canary Wharf and intends to expand its presence "everywhere".
Brookfield’s strategy reflects a broader shift toward specialized AI infrastructure capable of meeting the intense computational and power requirements of modern machine‑learning workloads. By locating new data centers in a central financial district, the company aims to tap a growing demand for high‑performance computing services from banks, insurers and other enterprises that rely on AI for analytics, risk modeling and customer engagement.
The announcement comes amid heightened attention to the energy footprint of data centers and the need for resilient, low‑carbon power supplies. Brookfield’s existing portfolio includes sites that employ advanced cooling and renewable‑energy technologies, and the firm has expressed interest in further integrating such solutions into its new Canary Wharf projects.
In short, Brookfield Asset Management is moving forward with plans to establish AI‑focused data centers in Canary Wharf, leveraging its global experience, existing partnerships and a clear view of the sector’s growth drivers. The firm’s approach underscores a broader industry trend toward dedicated AI infrastructure that balances performance, energy efficiency and strategic location.
Brookfield, which steers more than US$1 trillion across real estate, infrastructure, renewables and private markets, already owns a multi‑gigawatt portfolio of data centers worldwide. The company is expanding that footprint, with several new sites either under construction or in the planning stages. In addition to its global data‑center investments, Brookfield co‑owns and manages Canary Wharf through the Canary Wharf Group property company, alongside the Qatar Investment Authority.
Teskey noted that the United Kingdom and Europe occupy a "middle ground" between the United States and China, creating a unique window for AI infrastructure. He pointed out that the U.K. lacks a domestic hyperscaler, meaning that the growth of AI capacity here will likely be driven more by government initiatives than by large private cloud operators. Brookfield has already launched a dedicated AI infrastructure fund anchored by Nvidia in November of last year and has secured AI partnerships with the governments of France and Sweden.
The CEO identified three forces reshaping the investment landscape: soaring energy demand, increased digitalization, and the rewiring of global supply chains. These dynamics, he said, generate a substantial need for capital. The combination of higher energy consumption and the productivity gains from AI makes investment in AI data centers highly attractive.
While Teskey acknowledged that some market segments may show signs of froth, he stressed that this does not diminish the overall potential of the sector. He emphasized that building data centers under long‑term contracts with reliable counterparties provides a solid foundation for growth. The firm plans to deploy new facilities in Canary Wharf and intends to expand its presence "everywhere".
Brookfield’s strategy reflects a broader shift toward specialized AI infrastructure capable of meeting the intense computational and power requirements of modern machine‑learning workloads. By locating new data centers in a central financial district, the company aims to tap a growing demand for high‑performance computing services from banks, insurers and other enterprises that rely on AI for analytics, risk modeling and customer engagement.
The announcement comes amid heightened attention to the energy footprint of data centers and the need for resilient, low‑carbon power supplies. Brookfield’s existing portfolio includes sites that employ advanced cooling and renewable‑energy technologies, and the firm has expressed interest in further integrating such solutions into its new Canary Wharf projects.
In short, Brookfield Asset Management is moving forward with plans to establish AI‑focused data centers in Canary Wharf, leveraging its global experience, existing partnerships and a clear view of the sector’s growth drivers. The firm’s approach underscores a broader industry trend toward dedicated AI infrastructure that balances performance, energy efficiency and strategic location.
