News
Conversation with Professor Zeng Ming: In the AI era, the key to enterprise competition is to build intelligent compound interest and allow AI to truly enter business processes
3 min read
Source: 36氪
On July 17, the 2026 World Artificial Intelligence Conference opened in Shanghai. As an important content window for 36 Krypton to go deep into the WAIC scene for the third consecutive year, the "Krypton Future" live broadcast room also opened live dialogue simultaneously on the first day of the conference. Professor Zeng Ming accepted a special interview with 36 Krypton's "Krypton Talk about the Future" at WAIC. He shared his observations and judgments on how artificial intelligence can reshape business models and value creation methods in the AI era, focusing on topics such as corporate growth, organizational change, intelligent compound interest, AI native business, and corporate implementation paths. The theme of this year's WAIC is "Intelligent Partners, Creating the Future Together". As the artificial intelligence industry enters the application deepening stage, the industry's focus is gradually shifting from model capability competition to application value creation. Compared with the discussions around parameter scale, model performance and technological breakthroughs in the past few years, the AI industry in 2026 is paying more attention to a core issue: how AI can truly enter enterprise business processes, how to lower the application threshold, and how to create value through actual business results. Under this trend, the changes brought by AI are not just the upgrade of efficiency tools, but the redefinition of enterprise growth methods, organizational forms and business logic. Professor Zeng Ming believes that AI is an underlying technological change that will drive systemic changes in the economy, business, and organizations. What enterprises need to pay attention to in the future is not just how to use AI, but how to let AI penetrate into the core business and continuously learn through real tasks and feedback closed loops to form "intelligent compound interest" that continues to grow. From "thousands of people with thousands of faces" to "one person with thousands of faces", AI is also changing the way companies understand user needs and provide products and services. Compared with traditional recommendation systems that rely on tags and historical behaviors, AI can achieve a more dynamic and personalized service experience through continuous interaction and in-depth understanding. For enterprises, truly valuable AI applications need to break through the demo stage so that AI has the ability to independently complete tasks and bear the consequences. According to Professor Zeng Ming, the key to enterprise competition in the AI era will no longer be just a competition of technical capabilities, but whether it can build an AI-native business, allow AI to truly enter the workflow, and form a self-reinforcing value cycle through continuous feedback.