Under the Wave of GAI, Where Should the Core Competitiveness of Humanities and Social Science Students in Higher Education Go in Terms of Employment?

Abstract

Represented by ChatGPT, large-scale AI models have reshaped the interaction between humans and technology. The tools and capabilities of large-scale AI models, such as text content production, data collection, and deep learning of massive information, have to some
extent created employment barriers for students in humanities and social sciences. It is necessary to reflect on whether the core competitiveness of students in humanities and social sciences can keep pace with the development of the GAI era, how to adapt to changes in social talent
demand, and how to find a balance between the impact of the tools and capabilities of GAI applied to enterprises on the core competitiveness
of employment for students in humanities and social sciences. However, the application of large-scale AI models in knowledge production is
integrative rather than creative, leading to a lack of creativity and imagination. Students in humanities and social sciences should fully leverage their irreplaceable abilities, align with the characteristics of interconnectedness in GAI development, and achieve deeper and higher-level
interaction, collaboration, and integration. Based on this, the core competitiveness path for employment of students in humanities and social
sciences can be pointed out from the dimensions of interdisciplinary integration training, scenario-based teaching in GAI, and the cultivation
of irreplaceable abilities.