AI isn’t just disrupting portfolio companies; it’s disrupting how secondaries buyers think about deal flow itself. That was the core message from Matt Russell, Head of Secondaries at VenCap, in conversation on the mechanics of picking and pricing in today’s venture secondaries market.
Russell frames the current opportunity set in three buckets. First, AI-native portfolios, young, high-growth deals where the power law rules absolutely: a handful of companies drive nearly all the value, and diversification at the manager and company level matters most. Second, mid- to late-stage winners that have successfully layered AI into their businesses, some now valued between $50 billion and $150 billion while still private, with revenue accelerating over the past twelve months. Third, the legacy tail sitting inside older fund portfolios, assets going nowhere, priced essentially as option value.
That framing has changed seller behavior. According to Russell, general partners and LPs have realized that liquidity alone isn’t enough to attract serious buyer attention at fair pricing, they need to bring their strongest assets to market rather than offloading everything indiscriminately. The result: VenCap’s deal flow has risen sharply in both volume and quality over the past year, a dynamic Russell frames as healthy for the broader secondaries market rather than a red flag.
On sourcing, Russell is direct: the best venture managers are highly restrictive about who they let into their funds, which itself generates deal flow when transfers do happen. VenCap gains exposure to the space through three channels: fund stakes, GP-leds, and direct positions/SPVs — with GP-leds the fastest-growing segment, mirroring a trend VenCap has already watched play out in private equity. Direct deals remain a smaller focus, around 10% of flow, given the adverse selection risk when direct capital “lands on the desk” outside of primary relationships with top managers.
The numbers underline the scale of the opportunity: VenCap reviewed $14.5 billion in deal flow last year, up 55% year-over-year, split roughly 65% LP interests, 25% GP-leds, and 10% direct/SPVs. Geographically, the firm runs a global, unconstrained mandate, roughly two-thirds US, with the remainder split across Europe, India, and China, rejecting the idea that regional buckets improve returns.
Pricing discipline is where Russell spent the most time. Outdated NAV marks can cut either way: a strong company that simply hasn’t raised in a while can make paying par or even a premium the right call, while a company that has deteriorated since its last round can leave a valuation mark badly overinflated. VenCap’s edge, he argues, comes from the scale of the underlying businesses: companies generating hundreds of millions to billions in revenue, comparable to public market benchmarks, rather than pre-revenue bets that could go to zero. The critical judgment call is whether revenue growth will outpace multiple decay over time, a bet that, for the fastest-growing AI-native companies, has repeatedly paid off.
Asked directly whether the market is in a bubble, Russell declined a simple yes or no. VenCap has published research arguing the current environment doesn't map cleanly onto past bubbles, while acknowledging real froth and AI-driven excitement. His answer to that uncertainty is consistency: building exposure over time across a portfolio of top managers, rather than timing single-stock bets, a lesson he says the market relearned painfully in 2021, when speculative "tourist" capital flooded in and then retreated.
