Google Cloud's text-to-SQL agents, like Gemini, generate SQL from natural language, increasing developer and analyst productivity, but struggle with ambiguous questions and complex specifications. To address these issues, Google Cloud applies techniques such as semantic layering, disambiguation, retrieval, and validation to improve the quality and accuracy of text-to-SQL solutions.