Every investor is being asked the same question: how much of your portfolio should be in AI? Valuations are elevated, the hype is deafening, and FOMO is driving too many allocation decisions. How are investors sizing exposures across venture, buyout, and infrastructure? How do they evaluate whether a GP truly has AI credentials or has simply updated its pitch deck, and how do they stress-test return assumptions in a market moving faster than the models?
