2025麦肯锡AI应用现状调研：仅6%企业成为高绩效赢家，他们做对了什么？

Core Insights - The core insight of the article is that while many enterprises have integrated AI into their operations, they face significant challenges in scaling these applications to create real value. High-performing companies succeed by embedding AI deeply into their business strategies and demonstrating strong commitment and execution in resource allocation and implementation [2][3]. AI Application Expansion - The proportion of companies that regularly use AI in at least one function has increased from 78% to 88% year-on-year. However, most organizations remain in the exploratory or pilot stages, with only about one-third advancing to large-scale deployment [3][11]. - In mainland China, 83% of companies have normalized the use of generative AI in at least one function, surpassing the global average. Additionally, 45% of surveyed companies have achieved large-scale or comprehensive deployment of AI, higher than the global average of 38% [6]. Intelligent Agents Adoption - 23% of respondents report that their companies have initiated large-scale applications of intelligent agents in at least one function, while 39% are in the experimental phase. However, the broader adoption of these systems remains limited, with less than 10% of respondents reporting expansion in specific functions [7][10]. Industry and Functional Insights - The highest adoption rates of intelligent agents are seen in IT and knowledge management, with technology, media, telecommunications, and healthcare sectors leading in adoption compared to others [9]. - AI application rates have generally increased across all industries, with technology companies maintaining a leading edge. However, media, telecommunications, and insurance sectors have caught up significantly [13]. Financial Impact and Innovation - Only 39% of respondents believe AI has significantly impacted their earnings before interest, taxes, depreciation, and amortization (EBIT), with most reporting contributions of less than 5%. Despite this, over half of the respondents noted that AI has enhanced their organization's innovation capabilities [16][19]. - Companies that utilize AI for growth and innovation tend to see improvements across various dimensions, including customer satisfaction and competitive differentiation [25][26]. High-Performance Companies - High-performance companies, defined as those achieving over 5% EBIT improvement from AI, represent about 6% of the sample. These companies are more likely to pursue transformative changes and invest significantly in AI [25][30]. - High-performance companies are also more adept at systematically releasing AI value through clear processes and strong leadership commitment [30][31]. Employee Impact and Future Expectations - There is a notable divergence in expectations regarding employee size changes due to AI, with 30% of respondents anticipating a reduction in workforce over the next year. In contrast, most believe that overall employee numbers will remain stable [34][37]. Risk Management - The latest survey indicates an increase in proactive governance regarding AI risks, with respondents reporting an average of four types of AI risks being managed, up from two in previous years. However, many organizations still lack comprehensive risk management strategies [41][44].