| 英文摘要 |
Breakthrough advances in generative artificial intelligence (AI) and its rapid diffusion across sectors have produced structural disruptions in contemporary societies, including profound implications for the labor market. This technological wave is not merely automating routine tasks; it is reshaping the very nature of work, accelerating task automation, driving occupational transformation, and simultaneously creating novel forms of employment. As a result, the demand for traditional skill sets is being fundamentally challenged, and prevailing understandings of work roles, professional competence, and career trajectories are being redefined. In this context, a systematic re-evaluation and recalibration of educational systems is no longer optional but imperative. This paper examines how generative AI is altering the core characteristics of work and the profile of skills required in an AI-mediated economy, and it analyzes the strategies that educational institutions should adopt in response. Particular attention is given to the development of AI literacy, the redesign of curricula to cultivate higher-order cognitive and interpersonal skills that are less amenable to automation, and the integration of academic and professional ethics into training, so that future workers are not only technically competent but also capable of exercising responsible agency in an AI-saturated environment. |