Gartner《2025中国AI趋势》的十大关键趋势

Core Insights - The report emphasizes that generative AI is profoundly transforming Chinese enterprises, significantly enhancing employee capabilities and creating numerous cross-departmental applications while raising AI governance to unprecedented levels [2] - A major challenge identified is the uncertainty regarding the return on investment (ROI) from AI, with only 13% of respondents expressing high confidence in calculating AI's ROI, and 36% showing low confidence [2] Key Trends - Open Generative AI Models: The focus is on ecological control, compliance, and industrial safety, with the launch of open-source models like DeepSeek marking a significant shift in the market landscape [2][3] - Build Strategy: Chinese enterprises prefer to develop their own solutions to achieve customized innovation and protect data sovereignty, particularly in government and large state-owned enterprises [3] - Agent-based AI: This approach emphasizes intelligent agents capable of task perception, execution, and feedback, moving beyond simple text generation to more complex task execution [4][5] - Frugal AI: Companies are focusing on cost-effectiveness rather than maximum performance, emphasizing lightweight deployment and local inference, which is particularly important for SMEs [6] - Engineering Capability: The engineering strength of Chinese enterprises is crucial for accelerating the transition of AI from concept to implementation, with a notable increase in the production landing rate of generative AI from 8% in 2024 to 43% in 2025 [6] - Collaborative AI Security: The rise of generative AI has led to increased security concerns, necessitating a collaborative governance framework across IT, legal, and business departments [6] - AI Talent Pool: China has a rich talent pool in AI, with a significant increase in the proportion of Chinese authors in top AI conferences, and a growing need for business-savvy talent as generative AI becomes more accessible [7] - Ubiquitous AI: AI applications are expanding beyond traditional office settings, thriving in B2C scenarios and leveraging China's strengths in 5G and digital ecosystems [8][9] - Inclusive AI Ecosystem: Chinese companies are shifting towards a one-stop service model that integrates models, platforms, tools, and services, enhancing customer choice and deployment speed [10][11] - Data as a Core Barrier: Unique data has become a critical asset for leveraging AI successfully, forming a closed-loop evolution between data management and AI capabilities [12] Conclusion - The ten trends identified are interconnected and collectively empower Chinese enterprises to innovate, achieve business transformation with controllable costs, and drive a B2C-oriented AI ecosystem, positioning them for significant global impact [12]