Our previous understanding of blockchain had a common flaw—overly reliant on humans. Wallets, transactions, risk-taking, even automation strategies—all essentially led by humans with machines assisting. Once humans authorize, machines run, and that's it.

But AI is changing the game.

The key turning point isn't that "AI can compute more accurately," but a more fundamental question: when AI starts to act on its own, act continuously, and never stop, can the current on-chain infrastructure handle it?

From "tool" to "executor," AI has upgraded its identity. Previously, AI was like a senior secretary—offering suggestions, signaling, proposing plans, but still needing human confirmation. Now, it's completely reversed. AI Agents can automatically run strategies, adjust contracts themselves, and operate 24/7 without interruption. Once execution rights are detached from human control, problems inevitably follow.

What identity does AI use to go on-chain? How are transaction settlements handled? How are permissions allocated? How do multiple AIs collaborate long-term? These are no longer just user experience issues but fundamental questions about whether the system can operate normally.

This is precisely the background for the emergence of KITE. It hasn't created a specific AI application but directly penetrated the underlying layer—building a public chain that enables AI to participate in the native economy. On KITE, AI is not just code logic but a clear participant with on-chain identity and economic rights. This approach hits a critical node in the ecosystem upgrade.