Juniper Square's Brandon Rembe argues private fund managers must fundamentally rebuild their operating models around agentic AI to stay competitive. Current implementations limit artificial intelligence to basic tasks like drafting emails or building presentations, missing transformative potential across back-office processing, portfolio operations, and fundraising activities.

Legacy systems and traditional workflows create significant barriers to AI adoption in private equity. Fund managers face pressure to demonstrate outcomes rather than just outputs, creating urgency for technological transformation. The shift requires moving beyond superficial AI applications to fundamentally reimagine operational processes and decision-making frameworks.

The transition represents more than a technological upgrade—it's a strategic imperative for private equity firms competing in an increasingly data-driven market. Those who successfully harness agentic AI's full potential will likely gain measurable advantages in portfolio management efficiency and fundraising effectiveness, while lagging firms risk falling behind in an evolving industry landscape.