Optimization Path for AIGC-Empowered Cultivation of Multilingual Translation Talents Based on Language Service Market Demand Under the “Belt and Road” Initiative

Abstract

The continued advancement of the Belt and Road Initiative (BRI) has led to a significant increase in demand for high-quality multilingual language services. Existing models for training translation professionals often fall short in addressing the complexity and diversity of these demands, particularly in terms of the systematic integration and application of AIGC (Artificial Intelligence Generated Content) technology. Grounded in Competency-Based Education (CBE), Functionalist Translation Theory, and the Sociology of Technology, this paper constructs an integrated analytical framework to systematically examine the core needs of the BRI language service market, objectively assess the potential and limitations of AIGC, and propose a set of concrete optimization strategies. Central to these strategies is the design of a curriculum system tailored to multilingual and multi-domain challenges. Through an in-depth case study of a university-enterprise collaboration project, the paper further validates the effectiveness of the proposed path in enhancing students’ technological application skills and cross-cultural practical abilities. The study concludes that a synergistic approach, which deeply integrates AIGC as an enabling tool within a pedagogically sound framework, is essential for cultivating future-ready translation talents who can navigate the intricate demands of the BRI language service landscape.