AutoML automates the end-to-end machine learning process: algorithm selection, hyperparameter tuning, feature engineering, and data selection. It democratizes AI by letting non-experts build competitive models. Google's Vertex AI, H2O.ai, and Auto-sklearn are popular platforms. A business analyst with domain knowledge but limited ML expertise can build a churn prediction model in hours instead of weeks.