In the Era of Large Models, How Is Artificial Intelligence Reshaping the Business Logic of All Industries?

Traditional business logic is built on process-driven paradigms. Enterprises establish competitive advantages by optimizing supply chains, refining the division of labor, and improving human efficiency. In contrast, large models introduce a brand-new way of thinking. In the past, developing software required programmers to write logic line by line. Now, developing an intelligent application involves fine-tuning and guiding based on the "general intelligence" provided by large models, enabling it to possess professional capabilities.

One of the most profound impacts of large models is the redefinition of the essence of customer relationships. While traditional user profiles are based on group labels, large models can deeply understand the unique preferences of each individual, making "tailor-made" solutions more accessible than ever.

For instance, in the e-commerce industry, AI can not only recommend products but also act as a personal shopping advisor. It generates complete outfit suggestions based on your body type, style, occasion, and budget, even explaining the reasoning behind the combinations.

Large models significantly lower the barrier to interaction between humans and the digital world. The core interface of future enterprise applications may no longer be complex menus and buttons, but rather a **dialog box**. Employees wouldn't need to learn intricate ERP or CRM operations; they could simply instruct the system by saying, "Please find me the data and summarize their common feedback." The software would then automatically execute the query, perform the analysis, and generate the report.

Large models are transforming many tasks that were once the exclusive domain of experts into work accessible to ordinary people. For example, non-designers can generate high-quality posters, marketing videos, and product prototypes through text descriptions. The emergence of the "citizen developer" becomes possible, allowing product managers and business personnel to quickly generate business logic code through natural language descriptions.

This tremendously unleashes societal creativity, while simultaneously forcing both individuals and organizations to ponder a critical question: As the barrier to core skills is lowered, where should our fundamental competitive advantage lie?