What kind of applications can survive in the AI era?

The logic of traditional software is straightforward—users click to operate, the system completes calculations, and users confirm the results. In this process, AI is just an assistant, improving copywriting and optimizing experience, but the decision-making power always remains with humans.

The next generation of high-value applications will be completely different. AI will no longer just assist but will become the main executor. How is this reflected?

First is decision automation. The system does not wait for instructions but independently analyzes market data, user behavior, on-chain signals, and makes judgments directly. Second is resource invocation automation. Whether calling smart contracts, triggering transaction processes, or allocating computing resources, AI autonomously completes these tasks without manual confirmation. Finally, there is a shift in human roles—from operators to auditors, responsible for post-event supervision and anomaly intervention.

What does this change mean for Web3 applications? Applications that allow AI to take the lead—such as automated market makers, intelligent quant strategies, and autonomous governance contracts—will become the next hot spots. Conversely, applications still relying on stacking features or UI to attract users will have increasingly shorter lifespans.

Understanding this shift will enable you to foresee what the next generation of applications will look like.