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Alex explains the importance of building graphs in TensorFlow 2.0 despite the default use of eager execution. Graphs are beneficial for full program optimization, particularly for hardware like TPUs, and allow for easy deployment on various devices. While some may recall the complexity of TensorFlow 1.0 graph code, the benefits of using graphs in TensorFlow 2.0 are worth the effort.