AI & data centres: Making sense of the boom
As technology companies race to develop cutting-edge artificial intelligence (AI) models, data centres have become some of the most important infrastructure in the world. Data centres’ high energy demands, along with the complexity of different AI workloads, have investors considering how and where they build data centres, and the accompanying power infrastructure. For investors, scaling data centre infrastructure at an unprecedented pace is capital intensive and will require more than a trillion dollars in investment across the ecosystem. Understanding how to manage the risks (and opportunities) around capital expenditure, energy demand, profitability, and the future exit strategies for these massive assets are critical when deciding whether to pull the trigger and join the party.
- What strategies are investors employing to build and acquire data centres?
- How do you manage the associated capital expenditure surge?
- How are power and data centre development capabilities being integrated?
- Is the industry experiencing bottlenecks when it comes to power demands?
- How are investors staying one step ahead as AI technology and infrastructure demands continue to evolve?
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SpeakersTim Foy Head of Infrastructure Investment Banking J.P. Morgan
Sumit Mukhija Group Chief Executive Officer DCI Data Centers
Michael Gold EGM, Data Centre Investments Macquarie Technology Group
William Smales Partner and Chief Investment Officer Morrison
Marcia Cameron Head of Real Assets Direct REST
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