The Future of Private Markets is AI-Native

Private Markets are notoriously inefficient. Due diligence that should take days stretches into months. Capital allocation decisions rely on Excel models built by analysts who haven't slept in 48 hours. The entire ecosystem runs on email chains and PDF decks.

But this is changing fast. The early signals are already here: AI-powered extraction tools that collapse month-long manual workflows, automated reporting that turns days of data integration into minutes, and product creation cycles measured in minutes rather than days.

The firms that win in the next decade won't be the ones with the most AUM or the shiniest offices. They'll be the ones that treat data as a first-class asset, deploy AI not as a "nice-to-have" but as core infrastructure, and hire people who can bridge the gap between LP expectations and technical feasibility.

I'm building at this intersection: optimizing Private Markets workflows by day, building by night. The Private Markets OS I'm developing isn't just another "tech for finance" project, it's a bet that the future of institutional capital will be deployed through systems, not spreadsheets.

The question isn't whether AI will transform Private Markets. It's whether your firm will be leading the transformation or scrambling to catch up.