Countdown: 7 days! Who will be the next super app? | Case Collection
Another Surge in the AI Field.
In early 2025, the stunning appearance of DeepSeek, like a heavy bomb, instantly ignited the global enthusiasm for AI.
Within just one month, DeepSeek topped the application markets in 140 countries and regions worldwide, with the number of daily active users exceeding 30 million.
From the ChatGPT storm at the end of 2022, to the emergence of Sora in 2024, and now the DeepSeek craze, AI is evolving at an astonishing speed, refreshing our cognition.
The large-scale AI model is moving from technological change to industrial change, and the reasoning cost under algorithm innovation and model optimization is rapidly decreasing.
01 New Engine for Business Transformation
AI-native applications are reshaping the business landscape of various industries with a revolutionary force.
It is not simply attaching AI technology to existing businesses, but starting from the underlying architecture, deeply integrating AI capabilities to create innovative and disruptive applications.
In recent years, AI-native applications have shown amazing vitality in various fields.
In the field of content creation, it helps creators break the bottleneck of inspiration and enables a continuous flow of creativity; in the office scenario, it promotes intelligent transformation and improves office efficiency and collaboration level; in the e-commerce industry, it helps enterprises accurately understand consumer needs and achieve personalized marketing; in the education field, it provides personalized learning solutions for students and helps improve educational equity and quality...
Nvidia CEO Jensen Huang predicts that AI is developing at an astonishing speed, from perceptual AI to generative AI, and now we are entering the "Physical AI" era, where AI can reason, plan, and act.
Omdia report shows that the global generative artificial intelligence market is in the early stage of explosion. It is expected that by 2029, the market size will increase from 14.6 billion US dollars in 2024 to 72.8 billion US dollars. As the next frontier in generative AI, multimodal generative AI technology, with its increasingly enhanced diverse functions, is driving application cases in various industries, such as customer service, enterprise knowledge management, 3D digital avatars, and manufacturing, etc.
Facing this trend, more and more enterprises are actively integrating AI-native applications into their business processes to enhance competitiveness and explore new markets.
02 A Strong Lineup of the Review and Consultation Team
In order to encourage the emergence of more innovative AI-native applications and discover cases with innovation, demonstration, and promotion value in the field of AI-native applications, 36Kr launched the "2025 AI Native Application Innovation Case" collection activity in January this year. The selection scope covers multiple scenario cases such as general applications, tool applications, vertical applications, and terminal applications.
Since the launch of this case collection, it has received widespread attention and active participation from the industry. Up to now, nearly 100 registration cases have been received, fully demonstrating the innovative application and huge potential of AI-native in different scenarios.
In order to ensure the neutrality, authority, and rigor of the selection, 36Kr specially invited well-known tech experts, industry experts, investors, and the content/research heads of 36Kr in the field of AI to form a review and consultation team to conduct a strict evaluation of the participating cases.
36Kr will strictly keep the participating data confidential during the selection process and desensitize it during the evaluation to prevent bias and data leakage. Under the repeated deliberation and comprehensive evaluation of multiple judges, the final evaluation results will be formed.
In this "2025 AI Native Application Innovation Case" selection activity, 36Kr specially invited 13 guests to serve as the review and consultation team, including Liu Yunxin, a professor and doctoral supervisor at Tsinghua University, the chief researcher of the Institute of Intelligent Industry, Zhang Jing, the global partner of Bain & Company, Huang Yungang, the managing partner of Source Code Capital, Zhang Peng, the partner of Northern Light Venture Capital, Cai Wei, the partner of Lightspeed China Partners, Chen Yu, the partner of Yunqi Capital, Liu Zhiyi, a leading scientist in artificial intelligence in China and a researcher at the Shanghai Collaborative Innovation Center for Social Governance of Artificial Intelligence, Chen Qiufan, a science fiction writer and the deputy director of the Science Fiction Literature Committee of the China Writers Association, Tu Lingyu Zhou, a doctoral supervisor and researcher at the Institute of Software, Chinese Academy of Sciences, Xue Hengxiao (Sanyi Doctor), a doctor from Harbin Institute of Technology and a tech self-media, Lao Shi, the manager of Laoshi Tanxin and a doctor from Imperial College London, Zou Ping, the dean of 36Kr Research Institute, and Su Jianxun, the editor-in-chief of 36Kr Technology (in no particular order).
03 Insights from the Judges: The Prospect of AI Native Applications
In order to better understand the current development status and related research of AI-native applications, 36Kr specially invited some guests from the review and consultation team to conduct interview and research on issues related to AI-native applications. The following are some of their brilliant viewpoints:
Regarding the development prospects of AI-native applications, Chen Yu, the partner of Yunqi Capital, said that in the short term, productivity improvement, AI for science, entertainment, etc. may be the AI-native application scenarios that may take the lead in breaking through and achieving commercialization in the short term. With the decrease in computing power costs and the improvement of model performance, the functions of AI-native applications are becoming more and more perfect, thereby better meeting people's needs and giving a new form to future life and work. The embryonic form of the future can be glimpsed from the current usage of AI applications.
Taking the productivity improvement scenario as an example: In terms of information acquisition, AI chatbot products have subverted the traditional search engine model, improving the search efficiency. Users can usually directly obtain the needed information without having to screen and filter from several search results; in terms of content generation, generative AI helps users accurately and effectively generate content, helping to save 80-90% of the time; in addition, the breakthrough and application of Agent products will realize the automation of more complex task operations, reduce repetitive work for humans, and release more energy into creative work.
Zou Ping, the dean of 36Kr Research Institute, believes that in the next 1-3 years, the subdivided tracks such as AI intelligent assistants, AI search, AI medical image diagnosis, AI education, and AI creation are worthy of attention. In the short term, industries and scenarios such as film and television, education, marketing, games, and office collaboration may take the lead in achieving the large-scale commercial landing of AI-native applications. In the long term, the breakthrough of AI-native applications will significantly change the lifestyle, making multimodal interaction of smart home possible, enabling dynamic and real-time adjustment of travel, and enhancing the immersive experience of entertainment; in terms of working methods, it will improve efficiency and deploy an expert knowledge base based on personal career characteristics locally; in terms of the industry pattern, it will comprehensively promote the in-depth transformation of traditional industries and give birth to more emerging industries.
In response to the current phenomenon that "AI-native applications are becoming smarter and smarter", Zhang Jing, the global partner of Bain & Company, pointed out that the core innovations that promote the upgrade of the AI-native experience are mainly reflected in aspects such as the Mixture of Experts (MoE) architecture, knowledge distillation technology, data optimization strategy, and hardware and system-level optimization. These technological innovations jointly promote the continuous intelligence and experience upgrade of AI-native applications.
Tu Lingyu Zhou, a doctoral supervisor and researcher at the Institute of Software, Chinese Academy of Sciences, said that the core innovations that promote the upgrade of the AI-native experience are mainly concentrated in technical dimensions such as multimodal perception fusion, dynamic cognitive architecture, emotional computing engine, distributed edge intelligence, and value alignment system. These technological breakthroughs make AI evolve from a tool to an intelligent agent with context awareness, continuous evolution, and value judgment capabilities, redefining the boundary of human-machine collaboration.
04 7 Days Countdown, We Sincerely Invite Your Participation!
At present, the declaration activity of the "2025 AI Native Application Innovation Case" has entered the final stage, with only 7 days left until the registration deadline.
Whether your enterprise has made an innovative breakthrough in the field of AI-native applications or achieved significant results in business applications, 36Kr sincerely invites you to actively participate in this collection activity, and looks forward to your cases being able to provide more references and inspirations for the industry.
Who will become the next super application? We wait and see.
2025 AI Native Application Innovation Case Declaration Guide
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