如何看待人工智能生态系统中的“竞合”态势？世界经济论坛首席技术官答一财

Core Viewpoint - The close collaboration among tech giants reflects high expectations for artificial intelligence (AI) potential and the recognition of the need for strategic partnerships to overcome current bottlenecks in computing power and deployment [1][4]. Group 1: AI Development Stages - The U.S. focuses on expanding the capabilities of large models to develop general artificial intelligence (AGI) while addressing energy bottlenecks [3]. - China and other Asian regions emphasize the application and promotion of AI capabilities in real-world scenarios [3]. - Europe seeks a balance between AI sovereignty and leveraging cutting-edge AI models with industrial strength [3]. Group 2: Strategic Collaborations - The trend of strategic alliances among U.S. tech giants like OpenAI, NVIDIA, and Oracle indicates a blend of cooperation and competition, creating a "co-opetition" environment [4]. - These partnerships aim to bring large model providers closer to real enterprise data, enhancing AI deployment [4]. Group 3: Industry Upgrades - Companies must optimize the entire value chain through collaboration across different sectors to effectively implement AI technologies [5]. - Smaller firms that missed previous technological waves can leverage AI to reshape market positioning and achieve accelerated growth [5]. Group 4: Workforce Transformation - The narrative around young graduates struggling to find jobs is overly pessimistic; those with the ability to collaborate with AI will be highly attractive to employers [6]. - New thinking and creative application of skills by the younger generation will lead to the emergence of new job forms and values [6]. Group 5: Impact on White-Collar Jobs - AI is influencing workforce allocation and resource needs, leading to structural adjustments in companies [7]. - There is a growing shortage of skilled workers in various regions, which may create new job opportunities as industries adapt to technological advancements [7].