AI Infrastructure Secondaries: Why the 25-40% Discount Creates an Entry Window

The broader private equity secondaries market has tightened significantly: discounts on quality funds fell to 5-10% in 2025-2026, down from 15-25% during the 2022-2023 rate shock. AI infrastructure secondaries, by contrast, continue trading at a 25-40% discount to last funding rounds. That gap isn't a market anomaly — it's the signal of a structural dislocation that persists.

The explanation comes down to one word: illiquidity. Many LPs tightened their exposure to illiquid assets following the 2022-2023 rate shock, and that aversion hasn't disappeared with the broader secondaries market recovery. AI infrastructure — datacenters, compute capacity, cloud platforms — remains by nature a long-cycle, capital-intensive asset, difficult to value using classic private equity methodologies. It's precisely this valuation difficulty that keeps the discount wide, even as overall market liquidity improves.

Why the broader market's tightening doesn't close this gap

The secondaries market raised $95 billion in capital in 2025, and that capital naturally seeks the easiest assets to underwrite — positions in companies with established business models, clear comparables, documented exit paths. AI infrastructure doesn't tick those boxes as easily: hyperscaler capex spending cycles, rapid technological shifts (GPUs, liquid cooling, datacenter architecture) and the absence of mature listed comparables make valuation more complex. Generalist capital mechanically avoids this complexity — which keeps the discount wide for players with the sector expertise to navigate it.

This dynamic confirms a simple rule of secondaries markets: the discount doesn't tighten at the pace of available liquidity, but at the pace of the market's collective ability to understand and underwrite an asset. On AI infrastructure, that capability remains scarce — which keeps the opportunity open for investors who possess it.

The C.CAPITAL thesis on this segment

C.CAPITAL specifically targets AI infrastructure secondaries discounted 25-40% versus last rounds, leveraging LP tightening on illiquid assets. This thesis isn't isolated from the rest of the fund: the AI infrastructure sector expertise developed through the TITAN DC AI strategy — operational knowledge of datacenters, power capacity, cooling, cloud demand cycles — is precisely the informational advantage that lets C.CAPITAL correctly underwrite positions the generalist market can't properly value.

It's this cross-pillar synergy — TITAN DC AI expertise feeding C.CAPITAL conviction on AI infrastructure secondaries — that sets an integrated multi-strategy platform apart from a classic single-thesis fund.

A window that stays open, not forever

The broader secondaries market's tightening — $121 billion in volume in H1 2026, a new record — signals a gradual normalization of private liquidity. That normalization will eventually compress the AI infrastructure discount too, as more players develop the sector expertise needed to underwrite it. It's this temporary window, ahead of broader compression, that C.CAPITAL's conviction discipline is structured to capture.