广东传统产业谋变：强化人工智能赋能新型工业化

Core Viewpoint - Traditional industries are crucial for Guangdong's economic structure, serving as a foundation for overall manufacturing growth and requiring transformation towards high-end technology and intelligent development to remain competitive globally [1][2][3]. Group 1: Importance of Traditional Industries - Traditional industries account for over 70% of the added value in large-scale manufacturing in Guangdong, contributing 65% of tax revenue and employing 75% of the workforce [2]. - Guangdong leads the nation in the production of over 160 industrial products, with significant contributions from traditional sectors such as textiles, apparel, and home appliances [2][4]. - The textile and apparel industry cluster in Guangdong has reached a scale of 2.86 trillion yuan, with an annual clothing production exceeding 4 billion pieces [2]. Group 2: Challenges and Transformation - The transformation of traditional industries is complex due to the predominance of small and medium-sized enterprises, which face difficulties in upgrading and transitioning [1][6]. - Issues such as lack of technology, talent, and experience hinder the transformation process, with many enterprises still reluctant or unable to adapt [6][7]. - The global economic environment poses additional challenges, including shrinking demand and declining global trade, which exacerbate existing issues in traditional industries [5][6]. Group 3: Policy and Innovation Support - Guangdong has implemented various supportive measures, including legislation for high-quality manufacturing and digital economy promotion, to facilitate the transformation of traditional industries [3][4]. - The province aims to enhance policy supply and project support, focusing on technological innovation and green development to drive the transformation of traditional industries [10]. - The integration of artificial intelligence and innovation is emphasized as a key driver for upgrading traditional industries, with examples of successful applications in companies like Feiya [7][9].