Core Viewpoint - The impact of AI on higher education is leading to a significant reduction in traditional foreign language programs, prompting discussions about the necessity of learning foreign languages in the AI era [1][2][3]. Current Situation - Several universities in China are reducing or discontinuing traditional foreign language programs, with notable examples including the University of Science and Technology of China and Hebei University [2][3]. - The trend of shrinking foreign language programs extends to master's degrees, with multiple universities halting admissions for various foreign language specialties [3]. Trends in Foreign Language Programs - The adjustments in foreign language programs are seen as a necessary "supply-side structural reform," addressing the oversaturation and uniformity in foreign language education that has developed over the past two decades [3][4]. - The fundamental criterion for the existence of foreign language programs is their ability to meet national strategic needs and regional demands for specialized foreign language talents [4]. Solutions and Innovations - Universities are increasingly adopting an "X + foreign language" model to overcome the limitations of single-discipline training, integrating foreign languages with other fields such as finance, law, and engineering [6][7]. - Institutions like Beijing Foreign Studies University and Guangdong University of Foreign Studies are pioneering dual-degree programs that combine foreign languages with specialized disciplines to cultivate interdisciplinary talents [6][7]. Future Directions - The future of foreign language education is shifting towards "elite" and "specialized" training, focusing on developing professionals with "human-machine collaboration" capabilities [8][9]. - The integration of AI into foreign language curricula is being emphasized, with programs incorporating courses on programming and AI technologies to prepare students for the evolving job market [8][9]. The Role of AI in Language Education - AI is seen as a tool that can handle repetitive and standardized language tasks, but it cannot replace the nuanced understanding required for effective communication across cultures [10][11]. - The future language professionals must combine humanistic knowledge with AI technical skills, becoming experts in both language and a specific field [11].