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AI disruption in private credit: exposure to software firms in BDCs

Author

Listed:
  • Fernando Avalos
  • Giulio Cornelli
  • Egemen Eren

Abstract

Business development companies (BDCs) have lent around $115 billion to software firms, which represents about a fifth of all their lending and over 80% of their fast-growing technology portfolios.Borrowers' revenue uncertainty posed by generative artificial intelligence has not affected these loans yet, and neither BDCs nor their equity investors have priced software exposure differently. Recently, credit spreads have narrowed, reducing the buffers to absorb losses, and a few large BDCs are exposed to a shared pool of borrowers, though low leverage and secured lending may limit spillovers.

Suggested Citation

  • Fernando Avalos & Giulio Cornelli & Egemen Eren, 2026. "AI disruption in private credit: exposure to software firms in BDCs," BIS Bulletins 128, Bank for International Settlements.
  • Handle: RePEc:bis:bisblt:128
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    References listed on IDEAS

    as
    1. Ted Berg & Jung Hoon Lee, 2026. "Measuring Counterparty Exposures to Private Credit," Briefs 26-02, Office of Financial Research, US Department of the Treasury.
    2. Iñaki Aldasoro & Sebastian Doerr & Daniel Rees, 2026. "Financing the AI boom: from cash flows to debt," BIS Bulletins 120, Bank for International Settlements.
    3. Davydiuk, Tetiana & Marchuk, Tatyana & Rosen, Samuel, 2024. "Direct lenders in the U.S. middle market," Journal of Financial Economics, Elsevier, vol. 162(C).
    Full references (including those not matched with items on IDEAS)

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