Sophisticated investors who allocated to private credit during its expansion phase accepted a trade-off: give up liquidity, receive a premium over public credit yields. Three gate announcements in six weeks at major perpetual vehicles in early 2026 are a live demonstration of what the liquidity side of that trade-off costs when market conditions shift faster than fund disclosure can adapt.
The Liquidity Premium and Its Limits
Private credit funds marketed a liquidity premium of 150 to 300 basis points over comparable public credit during the expansion phase. The premium was real. So were the conditions attached to it: quarterly redemption windows, gate provisions, secondary markets that operate at a discount. In normal periods—when the underlying risk category is stable and the LP base is not stressed—those conditions rarely activate simultaneously. In early 2026, they are all active at once.
The trigger is AI-displacement risk concentrated in mid-market application software borrowers. Private credit funds lent heavily to this category between 2022 and 2024, at six-to-eight-times EBITDA leverage, on the assumption that subscription revenue would remain predictable. Generative AI is testing that assumption. The revenue threat is specific—horizontal application software faces the most direct substitution risk—but the disclosure structures do not isolate it clearly enough for LPs to measure their individual exposure.
How the Capital Got There
The capital path runs through insurance. PE firms spent the prior seven years acquiring life-insurance and annuity businesses and channeling policyholder reserves into proprietary private credit vehicles. CEPR co-director Eileen Appelbaum documented this chain in April 2026, noting that the combination of insurance-scale capital, limited disclosure, and high-leverage software lending created a structure that concentrates risk without surfacing it clearly to the capital providers. The structure was designed for stable conditions. It is now performing under stress that its disclosure architecture cannot address in real time.
Two perpetual private credit vehicles capped quarterly withdrawals in March 2026. A third moved in April. None disclosed material credit losses. Secondary buyers of fund interests are pricing discounts above stated NAVs—independently assessing where marks will eventually land if software revenues deteriorate.
The Portfolio Due Diligence That Matters Now
Investors still inside these funds—or evaluating new private credit commitments—face a specific set of questions that standard due diligence did not historically ask. What fraction of the software allocation is in horizontal application software versus infrastructure software? What are the average leverage multiples on the software lending book? What vintage year does the largest software concentration come from? What covenant structures govern the software loans?
These questions are not answerable from fund letters at most major private credit managers. They require primary LP engagement—direct questions put to the GP with a specific demand for sub-category data. The LP base that is currently filing redemption requests is largely doing so because they cannot get usable answers.
The Structural Argument and the Empirical Gap
Fund managers consistently emphasize that private credit’s structural advantages—tighter covenants, private workout mechanics, no forced-sale environment—differentiate it from public high-yield stress cycles. Those arguments are valid descriptions of the mechanics. They are not empirical evidence of outcomes, because the current PE-insurance-private credit structure has not moved through a broad software-credit stress cycle. The evidence base for the structural argument is theoretical, derived from historical analogues that predate the current configuration of the market.
NAV prints from the largest perpetual vehicles over the next two quarters will begin to build that evidence base. LP letters that add AI-displacement-risk metrics by portfolio segment will signal that the LP community has applied sustained enough pressure to change disclosure practice. Both are forward-looking indicators. The intelligent allocation decision, in this environment, requires facing that uncertainty directly rather than relying on historical structural arguments that have not been stress-tested against this specific risk category.
Source: Private Credit Fund Redemptions Climb Sharply, Some Caps Now in Place
