AI is increasingly being used by developers to bridge the gap between writing and testing code, but this trend has raised questions about the quality of AI-generated tests. The bottleneck in software development is not writing tests, but maintaining them, which requires a deeper understanding of what's going on with the tests. Developers should prioritize maintaining tests rather than relying solely on AI solutions for writing tests. Instead, teams can collaborate with AI to improve workflows and quality by using it to provide context and guide testing strategies. The shift from manual to automated testing is not just about replacing humans with computers, but also about finding new ways to scale and collaborate with technology.