The second of a two-part series, this article examines consumer privacy risks and strategic implications that arise when an AI vendor files for bankruptcy. Key issues include how trained models, fine-tuned weights, and training data derived from sensitive customer-provided data may be treated as bankruptcy estate assets that can be sold to third parties, how those model artifacts can enable reconstruction or extraction of personally identifiable data even without a sale of the raw data, and whether courts will classify AI vendors as “critical vendors” or “utilities” — designations that carry significant consequences for service continuity and restructuring negotiations. Companies should address these risks proactively through contract terms and vendor risk management protocols before a crisis occurs.
