This episode looks at the relationship between artificial intelligence risk and private real estate investing.

Major firms including Amazon, Meta, Google and Microsoft are projected to spend approximately $650 billion on AI and related infrastructure. Amazon alone says it intends to spend $200 billion on AI, chips, robotics and satellites.

Will these plans prove to be sustainable long-term strategies, or is this a sign of a bubble? How an AI-driven correction could impact institutional private real estate – in terms of capital flows, asset pricing and demand assumptions – is a pertinent question. This is especially the case in light of the industry's push into the data center sector, both in the US and Europe, across equity and debt strategies. But the impact of a correction would not necessarily stop there.

This week, we ask Goodwin Gaw for his perspectives on the subject. Listen as the co-founder and chairman of Gaw Capital Partners, one of Asia's most prominent private real estate managers, addresses how investors might position themselves to capture AI-related growth while remaining defensive against cyclical volatility.

For real estate, data centers may be the most obvious way to ride the AI wave. But they’re not without risk. If sentiment shifts or capital tightens, that part of the market could feel it first. What may emerge instead is a two-pronged approach to investing: doubling down on the fundamentals of necessity-driven assets on one end, and high-conviction luxury and lifestyle assets on the other. Gaw says this is a moment for the industry to stay nimble, to anticipate disruption and to be firmly on the front foot.

This episode is an excerpt from a wider interview between Gaw and Jonathan Brasse, PEI Group's real estate editor-in-chief. The discussion was recorded as part of a webinar for PERE Network members, designed to share insights emerging from PERE's Advisory Board conversations.