A court has ruled that Google is liable for inaccurate results produced by its AI Overview feature, marking a significant shift in the accountability of tech companies for their artificial intelligence outputs. This decision may have far-reaching implications for the development and deployment of large language models (LLMs), which have been known to generate false or misleading information. The ruling suggests that companies can no longer simply disclaim liability for the mistakes made by their AI systems, and instead must take responsibility for ensuring the accuracy and reliability of their outputs. This change in liability may lead to increased regulatory scrutiny and compliance requirements for companies like Google, which could create new challenges and opportunities for organizations seeking to leverage AI technologies1. As a result, practitioners and informed readers should pay close attention to these developments, as they may need to reassess their own compliance strategies and risk management practices in light of this new regulatory landscape.