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Alex explains that even though eager execution is the default in TensorFlow 2.0, building graphs can still be beneficial, especially for optimizing hardware like TPUs and for deploying models on various devices. Graphs allow for full program optimization and make models accessible to a wider audience. While some may be hesitant due to the complexities of using graphs in TensorFlow 1.0, Alex reassures that the process has been simplified in TensorFlow 2.0.