央视总台&阿里云发布最新 AI 报告，六大趋势必看！

Core Insights - The report highlights the transformative power of AI as a "general-purpose technology" that is reshaping production methods and economic structures [1][30] - AI is expected to penetrate various industries rapidly, with generative AI projected to reach a market size of over $1.1 trillion by 2028 [2] - The report identifies six key technological trends and five core application scenarios that will guide personal and corporate transformation in the AI era [1][18] Technological Trends - Reinforcement Learning: AI is evolving from passive response to active problem-solving, significantly enhancing its reasoning capabilities [4][5][6] - Multimodal Fusion: AI is developing the ability to perceive the world like humans, integrating text, images, and sounds for comprehensive understanding [7][8] - Cloud-Edge Collaboration: This approach allows for efficient AI model deployment on limited-capacity devices, enhancing real-time responsiveness and global intelligence [9][10] - AI Agents: These are becoming pivotal in automating tasks, transitioning from instruction-based responses to goal-driven actions [11][12] - Embodied Intelligence: AI is moving into the physical world, enabling robots to adapt and perform complex tasks autonomously [13][14] - AI Infrastructure: The demand for computational power is expected to grow exponentially, necessitating advancements in hardware and software to support AI applications [15][16] Application Scenarios - Intelligent Efficiency: Generative AI is set to revolutionize productivity across sectors, with significant improvements noted in retail and healthcare [18] - Enhanced Services: AI is redefining service standards by deeply understanding user intent and providing personalized experiences [19] - Innovative Products: AI is driving the creation of new product forms and business ecosystems, significantly altering traditional market dynamics [20] - Smart Decision-Making: AI is transforming decision-making processes from intuition-based to data-driven approaches, enhancing operational efficiency [21] - Accelerated Research: AI is becoming a core component in scientific research, streamlining processes and improving outcomes [22][23] Strategic Directions - For individuals, key competencies will include data governance, scenario definition, and human-AI collaboration [25] - For companies, essential transformation directions involve AI-driven business process reengineering, agile organizational structures, and data asset optimization [26] - The essence of the AI revolution is not merely technological replacement but a comprehensive restructuring of productivity systems [27][28]