Key Considerations for Artificial Intelligence in Private Credit

The private credit market is experiencing intense growth and is adapting to sophisticated underwriting standards due to the demand for non-bank financing solutions.
Geopolitical and economic factors have made it crucial for highly leveraged issuers to demonstrate disciplined underwriting in margin-compressed environments.
There is an uneven deal flow in the private credit market where documentation terms are recalibrating to favor lenders, and capital availability contrasts with rising credit quality concerns.
AI adoption in private credit is accelerating as private credit funds and direct lenders leverage AI to enhance assessment and underwriting processes, potentially offering competitive advantages.
The increased use of AI raises legal and risk-management concerns, such as the reliability of data fed into models, compressed underwriting timelines, borrower use of AI, competitive dynamics, and data privacy.
Lenders deploying AI need to ensure that AI outputs undergo meaningful human review and satisfy regulatory requirements, and maintain strict confidentiality regarding sensitive borrower information.
Market participants should balance technological innovation with disciplined credit judgment, maintaining rigorous legal documentation and human oversight in their private credit operations.
The future success of private credit platforms will hinge on effective integration of AI while assessing associated risks in their business operations and those of their borrowers.

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