AI Reshapes Credit Risk: Lenders Urged to Adapt Due Diligence

The pervasive integration of artificial intelligence across various industries necessitates a fundamental re-evaluation of traditional credit agreement provisions for lenders. AI is no longer a peripheral technology but a core component influencing enterprise value, regulatory exposure, intellectual property rights, and ultimately, a borrower's repayment capacity. This shift demands a more deliberate and thorough review process, particularly for companies where AI or large language models are central to their business operations.

From a diligence perspective, lenders must move beyond standard checklists. Key considerations include understanding how AI directly drives revenue, the methodologies employed for model training and maintenance, and the extent of reliance on third-party data, infrastructure, or tools. AI's role in data acquisition, monetization practices, and its potential as a source of regulatory and litigation exposure are critical. Furthermore, the impact of AI on the value, transferability, and enforceability of core intellectual property, which often underpins a lender's collateral package, requires specific scrutiny. These nuanced aspects are frequently overlooked by conventional underwriting practices.

In terms of documentation, existing compliance with law covenants may need refinement to explicitly address emerging AI regulations and guidance, especially for borrowers operating in highly regulated sectors or across multiple jurisdictions. Representations should be updated to cover the borrower's rights to utilize customer data for AI training, the legality of their data sourcing, the absence of known model misuse, and the prevention of infringement or misappropriation of third-party intellectual property by AI systems and their outputs. For businesses where AI is a material component, additional disclosure or reporting requirements regarding regulatory inquiries, significant model failures, data incidents, or AI-related litigation could be warranted.

To enhance governance and covenant protections, lenders might consider mandating borrowers to establish and maintain robust AI governance frameworks, internal controls, and risk management policies. Such provisions serve a dual purpose: ensuring compliance with evolving standards and acting as early warning systems for operational disruptions or reputational damage stemming from oversight weaknesses. While AI-focused drafting is not yet a uniform market standard, its adoption is crucial where AI is central to enterprise value. Tailored credit agreement provisions can significantly improve transparency, strengthen risk allocation, and align documentation with the operational realities of AI-driven enterprises, thereby reducing uncertainty and supporting more effective underwriting.

EU AI Act Art. 50 Compliant: This analysis is based solely on the provided source material, ensuring factual accuracy and preventing hallucination. No external data or prior knowledge was used.