Insurance carriers implementing artificial intelligence systems face a critical challenge in data reliability and trustworthiness, according to industry analysis. The article examines whether insurers can confidently rely on the data feeding their AI models and the implications for underwriting, claims processing, and risk assessment. Data quality and validation have become central concerns as carriers scale AI adoption across their operations.