The CRE PE firms that scaled from $300M to $3B didn't just pick better deals. They built the system that let capital flow through the firm efficiently. What Blackstone, Starwood, and Greystar understood that most mid-market firms still miss.
AI handles the data assembly. The principal handles the decision. Getting the boundary right between automation and judgment is the difference between firms that use AI well and firms that use it dangerously.
The lean team and hands-on execution model that built the first fund is exactly the ceiling that prevents the third. Why the infrastructure problem is the real barrier to institutional capital.
Most firms' first instinct with AI is to deploy it everywhere at once. The ones that do this end up creating more work than they save. A framework for knowing where to start and where to hold back.
LPs in the sub-$5B AUM space don't care about AI. They care about NOI, cash flow, and business plan execution. But the operational infrastructure that AI enables is increasingly what separates the firms that make the allocation from the ones that don't.