Research on the Training Scheme of Innovative Foreign Language Talents in the Era of Artificial Intelligence: Based on Job Market Data from Guangdong

Abstract

The rapid growth of Artificial Intelligence (AI) is fundamentally changing the demand for foreign language skills, displacing traditional professions while also creating new opportunities for individuals with diverse skill sets. Based on human capital theory and a constructivist learning approach, this empirical study analyzes 2,824 job advertisements (2022–2023) from a large recruitment platform in Guangdong, China, to investigate these changing demands and offer an innovative training program. Quantitative content analysis reveals a significant market movement away from pure linguistic competency and toward a model of compound knowledge. According to key findings, high-frequency demands now combine advanced language skills (English first and Japanese second) with technical competencies in programming (Python, Java), AI applications (machine learning, NLP), and industry-specific knowledge (e.g., mechanical engineering, international trade), as well as essential soft skills such as intercultural communication. Explicit mentions of AI-related talents confirm the technology’s penetration into the industry. A large gap exists between these diverse market needs and the output of traditional language-centric systems. In response, the study proposes a unique training structure based on the “Foreign Language + Professions + AI” curriculum. This strategy combines multidisciplinary knowledge, embedded AI literacy, and hands-on project-based learning to develop future-ready professionals capable of prospering in a technologically driven global economy.