In the early morning of March 4, Lin Junyang, the technical leader of Alibaba's Tongyi Qianwen (Qwen), announced his resignation. This came shortly after he had declared that the performance of three Qianwen 3.5 models had reached new heights, earning praise from Elon Musk. Recently, several core members of the Qwen team have successively left their positions. This phenomenon is not unique; global AI giants such as Google, OpenAI, and Meta are also facing a wave of resignations among their technical backbone (key technical personnel). In the fierce AI competition, the high-intensity work has left practitioners physically and mentally exhausted. Meanwhile, the global 'layoff wave' triggered by AI has further exacerbated burnout (job burnout) and layoff anxiety among practitioners. A deeper reason lies in the difficulty enterprises face in finding a balance between open-source visions and commercial priorities, which conflicts with creative work. Nowadays, resigning to start a business has become a new trend, perhaps indicating that the global AI industry ecosystem is maturing and forming a more efficient division of labor.