In this chapter, we examine how artificial intelligence, particularly predictive, causal, and generative models, is influencing the adoption and evolution of Site Reliability Engineering (SRE) practices. As systems become increasingly distributed, fast-moving, and unpredictable, traditional automation and monitoring approaches are often insufficient for maintaining reliability at scale. AI is emerging not merely as an enhancement to SRE workflows but as a foundational capability: augmenting human decision-making, enabling more adaptive automation, and generating operational knowledge directly from telemetry and historical data.