AI专题：2025中国企业级AI实践调研分析年度报告

Core Insights - The report highlights the transition of AI practices in Chinese enterprises from "concept-driven" to "value-driven," emphasizing the importance of strategic integration and systematic implementation of AI technologies across various industries [10][11][14]. Group 1: Strategic Insights - Over 80% of enterprises have integrated AI into their strategic planning, indicating a shift towards recognizing AI as a core component of business growth [10][14]. - The primary goal for 84.49% of enterprises is to "reduce costs and increase efficiency," followed by objectives related to revenue growth and customer experience enhancement [29][31]. - Companies face significant challenges in scaling AI from pilot projects to full implementation, with over 70% still in experimental or tactical investment phases [32][34]. Group 2: Technological Insights - Generative AI, AI agents, and AI+ automation are identified as the main technological directions, with a hybrid cloud architecture being the preferred infrastructure choice for 52.58% of enterprises [10][14]. - The focus is shifting from merely generating content to executing tasks and optimizing processes, with generative AI leading in application rates at 57.28% [43][44]. - Companies are increasingly prioritizing open, compatible, and secure technology platforms, reflecting a mature approach to technology selection [48][49]. Group 3: Organizational and Talent Insights - The most significant talent gap identified is in the ability to integrate AI applications with business needs, with 59.15% of enterprises highlighting this issue [10][14]. - A strategic shift towards "internal training and transformation" is being adopted by 68.25% of companies to cultivate a workforce capable of leveraging AI effectively [10][14]. - The establishment of an "AI learning organization" is crucial for fostering continuous growth and adaptation in the workforce [19][22]. Group 4: Governance Insights - Over 60% of enterprises are still in the early stages of governance development, focusing on technical robustness, compliance, and business continuity [10][14]. - A unified governance framework is essential for ensuring that AI systems operate in a controlled and trustworthy manner, with CIOs encouraged to elevate AI governance to a strategic level [20][21].