生成式AI重塑产业生态 直面五大领域核心挑战
Jing Ji Guan Cha Wang·2025-07-29 09:50

Core Insights - The report by KPMG China highlights the transformative potential of generative AI across various industries, emphasizing the shift from traditional linear growth models to data-driven, personalized, and flexible management operations [1][2] Group 1: Generative AI Development - The evolution of technology follows a pattern of "technological breakthroughs - engineering innovations - industrial transformations," with open-source and closed-source models now representing a struggle for industry rule-making authority [1] - The domestic technology innovation entities are generally optimistic about open-source approaches, which may enhance China's generative AI industry's autonomy and international influence [1] Group 2: Industry Applications and Investment - Financial institutions, including banking and insurance, show a high level of recognition for AI investment returns, with generative AI entering pilot applications in the banking sector, expected to yield cost-saving and efficiency gains within 1-2 years [2] - The manufacturing sector is urged to transition from traditional linear growth to a more integrated approach that combines processes and data, with generative AI accelerating penetration into key areas such as research, production, supply, sales, and service [2] Group 3: Investment Willingness and Challenges - There is a noticeable divergence in investment willingness between leading enterprises and small to medium-sized enterprises (SMEs), with larger firms more willing to invest due to clearer ROI assessments [3] - The report identifies five core challenges in managing risks associated with generative AI, including policy compliance gaps, technical vulnerabilities, governance issues, lifecycle management pressures, and balancing costs with ethical considerations [3] Group 4: AI Transformation Paradigm - KPMG's partner emphasizes that AI-driven transformation is not merely a technical enhancement but a comprehensive paradigm shift involving deep value creation, innovative thinking, and emotional synergy [4]