Software testing is crucial in the financial sector due to the high stakes of single outages impacting critical business operations and customer access. While AI-powered testing can handle repetitive tasks, it's not a replacement for human testers who focus on complex work like analyzing user experience and identifying high-risk workflows. Financial institutions are still relying on legacy testing processes but are beginning to adopt continuous testing approaches to leverage AI in strategic areas such as generating realistic test data, mapping complex workflows, and aiding regulatory compliance. However, there are challenges with using AI in testing, including hallucination, non-determinism, and test volume, which can lead to false sense of confidence and obscured critical alerts. Financial institutions should use AI strategically to reduce risks, streamline workflows, and reinforce customer trust by prioritizing security, compliance, and user experience.