作者 I 王彬 封面 I Unsplash 今年以来，中国 AI 路线正在获得全球更多关注。从年初 DeepSeek 等开源模型的破圈传播，到年末一大批面向产业、企业和个人开发者的 AI 应用密集涌 现。在中国市场，AI 已经不再是技术展示，而开始成为真正的生产力工具，渗透进各行各业的实际场景中。 几天前，《时代》周刊公布 2025 年年度人物， "The Architects of AI"（AI 的建造者们）当选。李彦宏在接受《时代》专访时说，2025 年是 AI 应用普及的 关键一年，AI 应用层是机会最多的地方。 在这一轮中国 AI 应用密集落地的过程中，百度是其中最坚定的一家。它最早完成了从芯片、模型到应用的系统性布局，也更早地开始呼吁市场重视 AI 应 用的价值。某种程度上，当下百度的 AI 战略，就是观察中国 AI 路径的一个缩影。 全球科技圈对这一趋势已有反应。英伟达 CEO 黄仁勋在多个公开场合都盛赞中国 AI 应用的创新，肯定一大批中国科技企业如百度、阿里、DeepSeek 等科 技企业在底座模型上的竞争力。硅谷投资机构 a16z 发布的《Top 100 Gen AI Consumer Ap ...

Core Viewpoint - The article emphasizes the importance of internalizing AI capabilities across various industries to enhance productivity and drive high-quality development [1][3]. Group 1: Internalizing AI Capabilities - Companies face the challenge of internalizing AI capabilities, which can be addressed by driving innovation through new scenarios and enhancing AI application capabilities [3][4]. - Specific AI technologies such as digital human technology, code intelligence, and autonomous driving have shown effective results in various applications [3][4]. - AI can help companies reduce costs, increase profits, optimize decision-making, and discover new growth points, particularly in scenarios with repetitive labor, labor shortages, high-risk jobs, bottlenecks, and complex decision-making [4][5]. Group 2: Industry Integration and AI Growth Engine - Internalizing AI capabilities in key industries like mining, chemicals, light industry, and shipping can strengthen the foundation of the real economy [5][6]. - The example of Baidu's algorithmic intelligence tool "Famu" demonstrates significant efficiency improvements in complex systems such as traffic and logistics [5]. - The integration of AI capabilities tailored to industry characteristics can enhance overall productivity and innovation capacity across sectors [5][6]. Group 3: Strategic Planning for AI Empowerment - There is an urgent need to explore new organizational and management models that facilitate human-machine collaboration in the context of systemic and structural changes brought by AI [6]. - Companies must ensure that AI capabilities permeate every aspect of production, operation, and service, from decision-making to execution [6]. - Baidu plans to increase investment in building advanced intelligent infrastructure and developing cutting-edge large model technologies to support the internalization of AI capabilities across industries [6].

Core Insights - The article discusses the trends in the AI startup ecosystem, particularly focusing on the results of the Baidu Wenxin Cup Entrepreneurship Competition, which attracted nearly 1,000 teams globally and highlighted the evolution of AI applications across various sectors [1][13]. Group 1: Winning Projects - Eight winning projects were selected, showcasing diverse applications of AI, including recruitment, content automation, and video generation [2][5]. - Notable projects include Lessie AI, which focuses on AI-driven recruitment, and Nooka, an innovative platform that transforms books into interactive audio dialogues [4][5]. Group 2: Trends in AI Startups - The competition revealed a shift towards multi-modal AI applications, moving from text-based to image and audio integrations, indicating a broader technological evolution [10][11]. - Teams are becoming more specialized and streamlined, with 50% of founders being post-90s and over 40% having backgrounds in top tech companies, while 71% of teams consist of fewer than 20 members [11][13]. Group 3: Baidu's AI Developments - Baidu has made significant advancements in AI capabilities, launching new products and models, including the Wenxin 5.0 model, which excels in multi-modal understanding and creative writing [15]. - The company introduced a self-evolving AI agent, which optimizes solutions in complex fields like finance and logistics, showcasing its commitment to enhancing AI's practical applications [15]. Group 4: Internalizing AI Capabilities - Baidu's founder emphasized the importance of "internalizing AI capabilities," suggesting that AI should become an integral part of organizational processes rather than just a tool [16][19]. - This approach aims to transform AI from a cost into a productivity enhancer, allowing businesses to leverage AI for greater efficiency and innovation [16][20].

Core Insights - The article reflects on the evolution of China's AI and technology landscape from the early days of the internet to the present, highlighting significant milestones and trends that have shaped the industry [2] Historical Development - In 1994, China was introduced to the internet through a 64K dedicated line, marking the beginning of a new era in technology [2] - Li Yanhong, while studying at Peking University in 1990, wrote down the term "artificial intelligence," which has since become a pivotal concept in the tech industry [4] - The emergence of major players like Baidu, Tencent, and Alibaba during the portal era in the late 1990s laid the groundwork for the current tech landscape [5][7] Key Milestones - Baidu launched the world's first Chinese search engine, breaking the foreign monopoly in the search engine market [5] - The mobile internet era began with the release of the iPhone in 2007, leading to a surge in mobile applications and services [8] - Baidu introduced the "Apollo" autonomous driving platform in 2017, marking its entry into the self-driving vehicle sector [10] AI Development - The release of the Wenxin large model 1.0 in 2018 signified Baidu's commitment to AI, with subsequent upgrades leading to the 5.0 version featuring hundreds of billions of parameters [10][12] - The rise of ChatGPT in 2022 catalyzed a global AI wave, prompting many domestic companies to accelerate their AI initiatives [14][16] - Baidu's introduction of "Wenxin Yiyan" shortly after ChatGPT's launch demonstrates its proactive approach in the AI space [16] Future Trends - Li Yanhong's concept of "internalizing AI capabilities" is expected to be a core competitive advantage for future enterprises, emphasizing the integration of AI into various industries [19] - The article suggests that the next decade will focus on the proliferation of "super useful" applications rather than a single dominant application, indicating a diverse and competitive landscape [17][19] - The integration of AI into traditional industries is seen as a key focus area in China's 14th Five-Year Plan, highlighting the importance of AI in driving economic growth [19]

Core Viewpoint - 2023 is recognized as the "year of effectiveness" for AI, with 2024 expected to be the "year of application" [2] - The AI large model industry has not yet entered a true "explosion period," with user scale and app installations increasing but revenue conversion still lagging [2][3] Group 1: AI Development and Market Dynamics - Baidu's AI strategy has transitioned from sowing to nurturing, focusing on small successes rather than immediate harvests [3][4] - Historical evidence suggests that the transition from technology accumulation to explosion cannot be strictly planned, with each harvest being a reward for long-term commitment [7] - The initial hype surrounding ChatGPT is fading, revealing limitations in user engagement and interaction duration, with average user interaction lasting only 6-15 minutes [10] Group 2: Competitive Landscape - OpenAI's challenges highlight the fragility of newly created application scenarios, as seen with Sora 2 facing copyright and harmful content controversies [11] - Gemini's growth has outpaced ChatGPT, with market share increasing from 6.4% to 12.9%, while ChatGPT's share has dropped from 87% to 74% [11][12] - Baidu's AI search has achieved 3.82 billion monthly active users, reflecting an 18.6% quarter-over-quarter growth [12] Group 3: Long-term Value and Strategy - The true value of AI lies in its integration with time, emphasizing the importance of long-term strategies over short-term gains [13][15] - Baidu aims to create a comprehensive AI stack rather than focusing on single-point applications, avoiding the pitfalls of the previous mobile internet era [16][25] - Baidu's autonomous driving service, "萝卜快跑," has accumulated over 240 million kilometers of driving, showcasing significant potential in a validated demand scenario [18] Group 4: Internalization of AI Capabilities - Baidu's concept of "internalizing AI capabilities" emphasizes the need for AI to be integrated as a native ability across industries, driving productivity and economic growth [20] - The AI industry faces challenges with low investment efficiency, as evidenced by the inflated valuations of AI startups and the lack of positive returns for many enterprises adopting AI tools [21][23] - The understanding and effective utilization of AI is a longer process than anticipated, indicating that the "big gathering" of AI is still on the way [24][26]

Core Insights - The article emphasizes the pervasive integration of AI into daily life by 2025, highlighting its applications across various sectors such as education, entertainment, research, and business operations [2][3][4] Market Growth and Application - The global AI agent market is projected to exceed $50 billion by 2025, with a compound annual growth rate (CAGR) of over 40%, potentially reaching $300-500 billion by 2030 [3] - AI applications are expanding in manufacturing, finance, and consumer services, with examples like self-diagnosing equipment in factories and AI credit systems in banks improving efficiency [3][4] Learning and Education - AI tools like Baidu's AI note-taking feature significantly enhance learning efficiency, as demonstrated by users who have successfully utilized these tools for exam preparation and skill acquisition [5][6] - AI is transforming educational experiences by providing personalized learning plans and real-time assistance, making it akin to having a dedicated tutor available 24/7 [6][10] Business Efficiency - AI is being adopted in business operations to reduce costs and improve efficiency, exemplified by the use of AI agents in educational institutions to handle customer inquiries and generate tailored responses [7][8] - The implementation of AI in various sectors is leading to substantial business growth and improved customer service, even in high-demand situations [8][10] Emotional and Social Impact - AI is evolving from a mere tool to a companion, fulfilling emotional and social needs, as evidenced by the rise of AI companions and assistants that provide comfort and support [11][12] - The emotional value of AI applications is becoming increasingly recognized, with users finding solace and companionship through AI interactions [12][15] Internalization of AI Capabilities - The concept of "internalizing AI capabilities" is gaining traction, suggesting that AI should be integrated into personal workflows and cognitive processes, transforming it from a cost into a productivity enhancer [16][18] - This shift towards a collaborative human-AI relationship is expected to democratize access to AI technologies, enabling broader participation in the technological revolution [18]