AI is abundant, you can’t go into a coffee shop in London or New York without overhearing “LLMs”, “agentic” or “AI” being floated about. Just yesterday in our Cannon Street Office, I could hear a Management Consultant trying to pitch their AI-enabled Services and struggling to answer a few questions about the Tooling they used and how much would be done by people vs automated.
Most firms are still experimenting with AI to drive efficiencies, one area that has gone from considered legacy in its approach and ripe for change to pushing the boundaries of Agentic AI in a short period of time is Private Markets Funds and the software providers building for them.
Companies like Alkymi, Capsa AI and Carta are building AI-natiive and AI-driven platforms focused on data intelligence and workflow automation.
According to McKinsey, 67% of investors believe generative AI will have a transformational impact on their business within the next five years, while 82% view its adoption as a high priority. A client which we have built their Product function for recently told us that their PE investors are actively tracking AI usage and adoption metrics across new hires. If you’re not using AI and demonstrating how you’re using it, you’re out the door!
For us, that means changing the way we have to assess candidates. Delving into not only on what AI focused Products/features they have been building, but also how they leverage it in their own daily workflows and day-to-day lives. It highlights just how seriously Funds are seeing AI as a value add and a way to ensure they can raise more capital from their own LPs.
From a Product and Engineering candidates perspective, to even be considered for top Private Markets FinTechs you need to be demonstrating in your CV why you use AI, what you’ve built with it, and what the outcomes/benefits were. Putting Claude in key skills isn’t enough. I would recommend writing a detailed bullet or two in your CV for the last couple of roles. And if you’re not using it then you need to be asking how you can get involved in AI projects or lgain experience with it outside of work. The market is changing and people will get left behind.
This is definitely a space worth watching closely in H2 2026…
