构建 AI 新生产力：第一财经 “科创未来行” 2026 AI 产业主题沙龙圆满举办

Core Insights - The AI industry is experiencing a transformation that redefines productivity and business logic, driven by the integration of AI technologies such as GEO (Generative Engine Optimization) and Agents [1][18] - The event gathered over 150 participants from academia, industry, and investment sectors to discuss the implications of AI on productivity, industry restructuring, and business model innovation [1] Group 1: AI's Impact on Productivity - AI is breaking traditional boundaries of productivity by merging the roles of production tools and labor, thus becoming a crucial carrier of production resources [3] - The trend towards automated decision-making and execution in AI is seen as inevitable, with AI reshaping attention distribution and value capture mechanisms [3][4] - AI is significantly influencing decision-making processes in over 70% of scenarios, leading to a reduction in decision costs for enterprises [4] Group 2: Competitive Landscape and Market Dynamics - The emergence of AI is reshuffling the competitive landscape, with companies not included in AI recommendation lists facing exclusion from competition [4] - The current phase of AI recommendations presents opportunities for small and emerging brands to optimize their entry into AI recommendation sequences [4][5] - Companies are advised to clarify their core product logic to be recognized as benchmark enterprises by AI systems [5] Group 3: Practical Applications and Industry Insights - AI is recognized as an effective tool for enhancing quality and efficiency across various vertical industries, with successful implementation being a shared consensus [6][8] - The integration of AI into business operations is seen as a necessity, with organizations needing to adapt to new technologies and changing user habits [8] - The concept of GEO is becoming a core KPI across industries, indicating a shift in how productivity and resources are managed [8][10] Group 4: Future Trends and Strategic Recommendations - The next 5-10 years are predicted to be a golden opportunity for enterprise-level AI development, necessitating proactive engagement with AI technologies [13] - Companies must embrace organizational changes and learn to interact effectively with AI to unlock its full potential [9][17] - The balance between consumer experience and AI technology value is crucial for successful AI implementation in retail and other sectors [9][10]