The emergence of generative AI ChatGPT has rapidly gained widespread use and recognition from global users. While the technology provides convenience for daily life and learning, it also poses many challenges. For example, intelligence dependency weakens the cultivation of labor concepts, information cocoons downplay the learning of labor theory, technological addiction simplifi es labor skill training, and lack of control devalues the labor education environment. Hence, the series of risks hidden behind the technology will profoundly affect our education sector, especially labor education. To address this issue, a progressive logic needs to be used to seek mitigation strategies and effectively alleviate the potential risks resulting from ChatGPT's involvement in labor education. This entails strengthening the guidance of labor concepts to achieve correction of specifi cally targeted erroneous labor concepts, reinforcing the learning of labor theories to clear spaces infi ltrated with erroneous theories, emphasizing the training of labor skills to consolidate a physical defense against physical and mental degeneration, and optimizing the labor education environment to strengthen the rigid constraints on algorithmic ethics supervision.