Imagine this: your AI assistant can not only help you schedule appointments but also purchase cloud computing services, pay data fees, and even collaborate with other AIs on revenue sharing—all automatically, without your intervention.
This sounds like science fiction, but a public chain called Kite is turning this into reality.
Why do we need a blockchain specifically designed for AI?
Today's AIs are getting smarter, but they have a fatal flaw in 'autonomous action': they cannot independently and reliably conduct value exchange.
How should the profits be automatically distributed for a project completed by two AIs collaborating?
AI needs to call paid APIs, who will pay in real-time?
How to ensure AI does not overspend or trade independently?
Traditional payment systems are too slow, too expensive, and too reliant on manual approval; they cannot keep up with the collaborative pace of AI. Kite was created to solve this problem: it is a Layer 1 blockchain specifically for enabling autonomous and secure trading by AI agents.
Three-tier identity system: issuing 'digital passports' to AI.
One of Kite's most exquisite designs is its identity layering:
User layer: you as the owner set the overall budget and rules (e.g., 'do not exceed 100U in daily spending').
Agent layer: AI works autonomously within this authority.
Session layer: temporary authorization for a single task, invalidated once ended
It's like giving your AI a passport:
It has the freedom to act, but will not stray beyond the boundaries you set.
Even if the passport is stolen (private key leaked), your sovereign assets remain safe.
Each task is a single-use visa, invalidated after use.
Technical highlights: fast, cost-effective, compatible.
EVM fully compatible: developers can quickly get started with familiar Solidity tools.
Transactions like chatting: sub-second confirmations, extremely low fees, AI can trade as frequently as sending messages.
Fully chain verifiable: who paid whom for each transaction, and why, is clearly traceable on-chain.
Real scenario: AI is learning to 'make money on its own'
Imagine these scenes:
Content creation: two AIs collaborate to generate videos and automatically divide accounts according to contribution.
Research collaboration: multiple laboratory AIs share data and settle usage fees in real-time.
DeFi strategies: AI monitors the market, automatically executes arbitrage trades, and pays Gas fees.
This is no longer 'automatically executing instructions', but truly autonomous economic behavior.
The ecosystem has started: developers are pouring in.
After the mainnet launch of Kite, the ecosystem grew rapidly:
Developers can port applications from Ethereum in just a few days.
Early communities have emerged creative projects like AI collaboration platforms and agent markets.
Organizations are starting to test using Kite to manage the operational costs of AI clusters.
Why is this matter so important?
Because the next phase of AI is not 'smarter', but 'more autonomous'. When AI can independently create, exchange, and distribute value, the entire economic model will be restructured.
What Kite does is establish a set of 'financial and legal foundations for a machine society' for them before AI truly gains autonomy—transparent, reliable, programmable.
In conclusion: we are witnessing the birth of a new species.
The internet allows information to flow freely, giving rise to the platform economy.
Blockchain allows assets to flow freely, giving rise to DeFi.
And now, facilities like Kite may allow AI's behavior to flow freely, giving rise to a true 'machine economy'.
It may not immediately bring a hundredfold return, but it is addressing a more fundamental issue: how should AI, as part of society, collaborate safely and reliably with us and with each other?
The answer to this question may be more important than we imagine.
The future has arrived, just not yet popular. And when AI starts trading autonomously, you will find that the invisible track has long been laid.
