Private markets firms adopting AI often worry about one thing above all: will efficiency come at the cost of the personal relationship that LPs expect from their GP? According to Brandon Rembe, chief solutions officer at Juniper Square, the opposite is true. When AI is deployed well, it strengthens that relationship rather than eroding it.
AI Should Free Up Time for the Relationship, Not Replace It
The instinct to worry about AI creating distance between GPs and LPs is understandable, but Rembe argues it misreads what AI is actually good at. AI can't substitute for face-to-face trust-building, but it can strip away the low-value administrative work that currently eats into an investor relations team's time. With that work automated, IR teams get more room for the things that actually build trust: deeper conversations, more roadshows, more in-person meetings. Handled correctly, AI doesn't compete with the relationship; it buys back the hours needed to invest in it.
A Bigger, More Direct Investor Base
Rembe points to two shifts AI is driving that benefit investors directly. The first is access: institutional-quality funds that once served a few dozen or a hundred large institutional investors can now, thanks to AI-driven automation, support fund structures with thousands of investors. This opens the door for retail capital to participate in strategies that were previously out of reach.
The second shift is around data. LPs increasingly want real-time, in-depth access to fund data in formats their own systems can use — which is why requests for MCP (Model Context Protocol) connectors have surged, letting an LP's own AI tools pull data directly rather than waiting on a GP's team to compile it. Rembe notes this is a fairly new dynamic: interest in this kind of direct data access has picked up sharply in just the past several months. Counterintuitively, this self-service access tends to improve GP-LP communication rather than reduce it. Because LPs arrive at conversations having already done their own analysis, GPs spend less time on generic status updates and more time on the specific questions that actually matter to that investor.
Security Has Caught Up
Data protection was a legitimate concern in the earlier days of AI adoption in private markets, when many models lacked the governance, compliance, and access controls a GP's fiduciary duty demands. Rembe says that gap has largely closed over the past couple of years — provided a GP's technology partners hold themselves to the same security standard, which not all of them do. The bar he describes for a serious AI partner includes role-based permissions, audit trails, and firm walls that keep one client's data from bleeding into another's models or a public model.
The Best Outcome Is an Invisible One
Perhaps the most useful test Rembe offers for whether a firm is using AI well: the LP shouldn't be able to tell. If an AI-assisted response sounds noticeably different from how the GP normally communicates, that's a sign the model needs more tuning, not a sign of progress. What LPs should notice is faster turnaround and more accurate, timely data. The responsiveness should read as "this manager is on top of things," without ever feeling automated. AI, in this framing, doesn't change a firm's brand or how it builds relationships. It sharpens the qualities that were already there.
Fewer Layoffs, More Leverage
A natural question follows from all this efficiency: does it lead to headcount cuts? Rembe pushes back on that framing. The better question is how to make existing teams dramatically more effective: raising capital faster, responding to LPs faster, managing more assets with the same staff. In that view, scale becomes the real competitive divide. Larger firms use AI to grow further; smaller firms use it to specialize and stay sharp; and firms that can't commit to a clear lane risk getting squeezed out altogether.
That shift also changes what the job looks like day to day. As routine, task-based work gets automated, the work that's left leans more heavily on judgment, relationship management, and knowing which questions actually matter — skills that, if anything, become more valuable as AI takes on more of the rest.
Themes and quotes drawn from a Q&A with Brandon Rembe of Juniper Square, published as a sponsor interview in Institutional Real Estate Americas (September 2026).