A gate on a private credit fund is not, by itself, evidence of credit losses. It is evidence that the redemption queue has outpaced the fund’s capacity to meet it without liquidating positions at disadvantageous prices. The three gates that went up at major perpetual private credit vehicles between March and April 2026 fit that description. None of the gated funds have disclosed material credit impairment. What they have disclosed, implicitly, is that their LP base has lost confidence faster than the funds’ disclosure architecture can address.
The Structural Setup: Insurance, PE, and Software Debt
The exposure that is now driving LP exits was assembled over approximately seven years. Private equity firms acquired life-insurance and annuity businesses starting around 2018, gaining access to policyholder reserves. Those reserves were deployed into proprietary private credit funds with limited mark-to-market obligations and minimal asset-level disclosure. The credit funds extended significant volumes of debt to PE-owned software companies, particularly in the 2022–2024 period, when subscription revenue models appeared to support leverage multiples of six to eight times EBITDA.
Eileen Appelbaum of the Center for Economic and Policy Research documented this architecture in April 2026. Her analysis focused on the insulation the structure creates from normal market feedback—infrequent marks, thin disclosure, insurance-level capital acting as a buffer between the credit portfolio and external scrutiny.
AI Displacement as the Specific Trigger
The risk category that arrived in 2025 is specific: AI-driven displacement of enterprise software revenue. Large language models and workflow-automation tools are making it possible for businesses to replace purchased software with AI-generated solutions at lower cost. The affected category is primarily horizontal application software—productivity, collaboration, CRM, document management—where the buyer’s switching cost is moderate and AI substitution is most direct.
The problem from an LP perspective is that fund disclosures do not isolate this sub-category. Software appears as a single line in most fund letters. The distribution within software—between AI-substitutable and AI-resistant—is not disclosed at any major fund. LPs who want to know their AI-displacement exposure within a private credit allocation are working without the necessary inputs. The rational response for a risk-conscious LP in that position is to reduce the allocation while exit windows remain open.
Secondary Market Pricing
Secondary buyers of interests in the gated funds have priced discounts to stated NAV. The discounts widened with each successive gate announcement—each new cap adds information about the direction of LP sentiment and the size of the redemption overhang. The three gated funds have not reported credit losses. The secondary market is independently pricing the probability that they eventually will.
How Portfolios Differ
Not every private credit book faces the same conversation. Funds that lent most aggressively to horizontal application software during the 2022–2024 vintage face the highest concentration of AI-displacement risk. Funds that built positions in infrastructure software, vertical SaaS with deep regulatory dependencies, or asset-backed lending outside of software are fielding a materially different set of LP questions.
The structural argument for private credit—tighter covenants, private workouts, no forced-sale mechanics—has genuine merit. It is also argument without a contemporary test. The current PE-insurance-private credit structure has not moved through a broad software-credit stress cycle. The next two quarters of NAV prints from perpetual vehicles, and the possible emergence of AI-displacement-risk metrics in LP letters, will provide the first grounded evidence of whether the structural advantages perform as advertised when software borrowers face concurrent revenue pressure.
Source: Private Credit Fund Redemptions Climb Sharply, Some Caps Now in Place
