AGI、智能体、自动驾驶……未来十年的十大技术预测

Core Insights - Huawei's report "Intelligent World 2035" outlines ten technological trends that will profoundly change various industries over the next decade, emphasizing that AGI (Artificial General Intelligence) will be the most transformative driving force [1][3]. Group 1: Ten Technological Trends - Trend 1: The path to AGI involves real-time interaction with the physical world, enabling intelligent agents to perceive and adapt like humans [3][4]. - Trend 2: AI agents will evolve from execution tools to decision-making partners, driving a paradigm shift across industries, with potential market sizes reaching trillions of dollars [4][5]. - Trend 3: Human-machine collaborative programming will reshape software development, transitioning to a model where users define needs in natural language, leading to "malleable software" [5][7]. - Trend 4: New interaction paradigms will enhance immersive experiences, with advancements in multi-modal technologies and potential brain-machine interfaces [7][8]. - Trend 5: The mobile internet will transition from an app-centric model to a multi-agent collaborative ecosystem, focusing on service-driven interactions [8][9]. - Trend 6: Embodied intelligence will create multiple trillion-dollar industries, particularly in autonomous driving and robotics [9][11]. - Trend 7: A breakthrough in computing architecture will address the growing demand for computational power, moving beyond traditional models [12][13]. - Trend 8: Data will become a form of intelligence, driving changes in storage paradigms and emphasizing the importance of "warm data" [13][14]. - Trend 9: The emergence of an "agent internet" will facilitate new connections among billions of intelligent agents [14][15]. - Trend 10: Token management will revolutionize energy networks, with AI enabling programmable energy management [15][17]. Group 2: Sectoral Impacts - Healthcare: AI-driven predictive measures will potentially prevent over 80% of chronic diseases, enhancing life quality [18][19]. - Education: AI will facilitate a collaborative educational model, with over 10 million students using intelligent learning assistants by 2035 [19][21]. - Transportation: The rise of Mobility as a Service (MaaS) platforms will improve commuting efficiency by 15-30% [21][22]. - Agriculture: Smart farming will leverage IoT and AI, increasing productivity and breaking geographical constraints [22][23]. - Home: Living spaces will evolve into intelligent environments, with significant adoption of XR devices and household robots [23][24]. - Manufacturing: ICT technologies will transform manufacturing processes, enabling rapid prototyping and automation [24][25]. - Finance: AI will redefine financial services, making them more personalized and efficient [25][26]. - Energy: The power system will transition to a dynamic, intelligent ecosystem dominated by renewable energy sources [26][27]. - Logistics: AI will enhance global supply chains, significantly reducing costs and improving efficiency [27][28]. - Mining: The mining industry will adopt advanced technologies for exploration and production, moving towards full automation [28][29]. - Urban Development: Cities will evolve into intelligent entities, integrating AI to enhance urban life [29][30]. Group 3: Sustainable Development - AI will play a crucial role in bridging the digital divide and promoting sustainable development, ensuring equitable access to technology [30][31]. - Ethical considerations and safety measures will be essential in advancing AI technologies, focusing on transparency and accountability [32][33]. - AI's environmental impact will necessitate the development of energy-efficient algorithms and hardware [38][39].