Serverless computing was supposed to simplify cloud architecture, cut operational drag, and lower costs. Instead, what we got from AWS, Microsoft Azure, and Google Cloud is a far more complicated reality: more abstraction, more lock-in, more hidden costs, and more ways to build systems that look elegant in a slide deck but become painful in production. In this episode of Cloud Computing Insider, we take a hard look at the real state of serverless across the big three cloud providers. We break down AWS Lambda, Step Functions, and EventBridge, Azure Functions, Container Apps, and Logic Apps, and Google Cloud Run, Eventarc, and Workflows to expose where each platform delivers real value and where the marketing starts to fall apart. We also dig into the AI angle, where every hyperscaler is now trying to position serverless as the perfect foundation for inference, agents, and modern cloud-native automation. The problem is that "managed" does not mean "simple," and "serverless" does not mean "cheap." If you are an enterprise architect, cloud decision-maker, or developer tired of recycled hype and vendor messaging, this is the blunt, critical breakdown you need before making your next platform bet.