The discussion explores the burgeoning role of AI in software delivery, highlighting its potential to automate repetitive tasks, enhance quality assurance, and personalize user experiences, thereby streamlining development cycles and providing intelligent analytics. It underscores the advantages, such as improved efficiency, predictive maintenance, and data-driven decision-making, while also addressing significant drawbacks like ethical concerns, data privacy issues, and the need for skilled professionals. The text emphasizes the necessity of balancing AI automation with human oversight to mitigate risks associated with overreliance and bias, and it suggests that organizations should consider the initial investment and infrastructure requirements carefully. Additionally, the importance of a robust AI strategy and responsible AI development practices is stressed to maximize benefits while minimizing potential pitfalls. The text concludes by introducing Split, a feature management and experimentation platform that aids in the safe introduction of AI features, offering tools for efficient deployment, risk reduction, and enhanced team collaboration.