LPs Are Co-Investing Their Way Into AI — and Concentrating Risk in the Process

3 hours ago
2 min read

What's New

Starved of distributions, LPs are turning to co-investments to chase AI directly. A prolonged liquidity crunch — cumulative cash flows to LPs have run roughly negative $200 billion since 2022 — has elevated co-investment on both sides of the table, according to PitchBook's Q2 2026 analyst note, "LP Co-Investments in US VC: Chasing AI at a Price." The prize: direct exposure to the fastest-appreciating AI names without proportionally higher fees.

Why It Matters

Co-investment lets LPs increase AI exposure at reduced cost, but it also concentrates risk in a single, richly valued theme — the note's "direct exposure, indirect risks" warning. With AI round cadence compressing, the bar for diligence is rising just as the temptation to lean in intensifies.

Big Picture Drivers

Liquidity pressure: A persistent shortage of large exits has left LPs cash-starved and fee-sensitive.
AI as the catalyst: Rapid AI valuation growth is the primary driver of demand for direct exposure.
GP incentives shift: With fundraising hard, GPs are sharing co-investment deal flow as a relationship and fundraising tool.
Eased gatekeeping: The GP incentive to withhold the best deals from co-investors has lessened in this market.

By The Numbers

-$200B: Cumulative net cash flows to LPs since 2022.
$4.7B: Median Series D+ AI pre-money valuation in Q1 2026 — nearly 4x non-AI peers.
Reduced fees: The structural appeal of co-investment versus fund-level exposure.

Key Trends to Watch

Diligence bar rising: Compressed AI funding cadence leaves less time to underwrite co-investments.
Concentration creep: Stacking AI co-investments atop AI-heavy funds compounds single-theme risk.
GP-LP dynamics: Co-investment is becoming a currency in fundraising negotiations.

The Wrap

Co-investing into AI is a rational response to a broken liquidity cycle — and a quiet accumulation of concentration risk. LPs gaining cheap, direct access to the market's hottest names should weigh how much of their portfolio now rides on a single, expensive theme. The price of chasing AI isn't just valuation; it's diversification.