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Alex explains the importance of building graphs in TensorFlow 2.0 despite the default eager execution. Graphs are beneficial for full program optimization, particularly for hardware like TPUs, and make it easier to deploy models across various platforms. While some may recall the complexities of using graphs in TensorFlow 1.0, Alex assures that the process in 2.0 is more user-friendly.