This paper argues that AI is entering an “Era of Experience,” where agents will learn primarily through their own interactions with the environment rather than solely relying on human-generated data. This shift is necessary to surpass human limitations and achieve more advanced AI capabilities. By learning from continuous streams of experience and grounded feedback, AI can develop novel strategies and understanding beyond current human knowledge.