Template-Type: ReDIF-Paper 1.0
Author-Name: Fernando Avalos
Author-X-Name-First: Fernando
Author-X-Name-Last: Avalos
Author-Name: Giulio Cornelli
Author-X-Name-First: Giulio
Author-X-Name-Last: Cornelli
Author-Name: Egemen Eren
Author-X-Name-First: Egemen
Author-X-Name-Last: Eren
Title: AI disruption in private credit: exposure to software firms in BDCs
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.
Length: 8 pages
Creation-Date: 2026-07-14
File-URL: https://www.bis.org/publ/bisbull128.pdf
File-Format: Application/pdf
File-Function: Full PDF document
File-URL: https://www.bis.org/publ/bisbull128.htm
File-Format: text/html
Number: 128
Handle: RePEc:bis:bisblt:128