Cloud browser automation has advanced from basic scripting to complex AI-driven orchestration, becoming essential for enterprises utilizing public cloud services to enhance reliability, throughput, and cost management. The text explores strategies, tools, implementation frameworks, and optimization techniques necessary for transitioning from single-machine scripts to scalable systems, emphasizing the importance of cloud-based automation given the near-universal adoption of cloud technologies among enterprises. Key challenges addressed include concurrency, version drift, and flaky networks faced by local runners, with cloud automation offering solutions like elastic infrastructure and standardized browsers. AI-enhanced frameworks improve resilience to UI changes, allowing for higher-level intent and robust automation flows. The importance of designing systems for scale, statelessness, and horizontal scaling is highlighted, alongside the need for automation that can handle regional routing and dynamic UI conditions effectively. Platforms like Browserbase are presented as strong options for managing browser infrastructure with features that minimize operational load while enhancing reliability and observability, catering to teams seeking cloud-native automation without the need for building foundational infrastructure. The text underscores the significance of cloud automation in achieving efficiency gains and maintaining security, compliance, and reliability in enterprise-scale workloads.