In 2014, before "Web3" had formed an exclusive binding with blockchain and crypto assets, blockchain was simply blockchain itself. People were deeply fascinated by the future potential unlocked by smart contracts.

Our early vision for on-chain economy eventually distilled into the concept of Smart Economy. We envisioned a decentralized network capable of autonomously managing tasks, with smart contracts serving as the key that opens up unprecedented possibilities for economic collaboration.

As we quickly enter the third decade of the 21st century, the current Web3 ecosystem is thriving, with decentralized finance (DeFi) being the core driving force. Stablecoins have become a global mainstream settlement solution, breaking geographical limitations; payment finance (PayFi) has permeated daily life. Regardless of how well people understand it, crypto assets have profoundly reshaped the public's financial cognition.

Underneath these developments, the most profound structural advancement is the leap in financial efficiency.

At the same time, artificial intelligence, a technology long familiar yet long confined to the realm of abstract concepts, has finally become a daily reality in the past two years, deeply integrating into our work and life, supported by the continuous emergence and iteration of large language models.

For most people, AI is a productivity tool: designers save time, content creators achieve automated copy editing, and programmers see a significant increase in coding efficiency.

However, we believe that AI is much more than a productivity booster; it represents a completely new financial efficiency paradigm.

Human labor always entails costs, and human attention is inherently limited. When AI enhances productivity per unit of time, it simultaneously elevates the value of attention outside of work hours. Therefore, we believe that AI and blockchain are naturally complementary and should become core components of the next generation of the on-chain economy.

The Three Core Features of the Next Generation On-Chain Economy

1. Minimizing Human Participation: In on-chain economic activities, humans will primarily act as intent providers, while the system autonomously completes the intent-based analysis, execution, and feedback loop. Taking decentralized finance (DeFi) as an example: the so-called "composability" initially required users to invest a significant amount of effort to verify strategy combinations; in the new on-chain economy, AI will autonomously carry out reasoning and planning.
2. Complete Lack of Trust Required: Asset security is the foundation of usability. In the Web3 space, security issues have always hung over like the sword of Damocles. The next generation economy must completely eliminate users' security concerns and create a truly trustless system.
3. Extreme Efficiency: As mentioned earlier, each technological revolution is accompanied by a leap in efficiency. Web3 has significantly surpassed traditional finance in transaction and settlement efficiency, but there remains enormous potential in terms of capital utilization. The deep integration of AI will elevate capital efficiency to unprecedented heights.

Core Components Supporting These Structural Features

1. Rapid iteration of AI large models base (new architectures and open-source models emerging almost daily)
2. Intent-based AI agents that accurately interpret and execute user intentions
3. AI agent networks enabling communication and collaboration between agents, forming collaborative clusters
4. Privacy computing technologies (such as zero-knowledge proofs ZKP / fully homomorphic encryption FHE) ensuring data security without a centralized trust mechanism
5. Basic security components that provide maximum protection for assets (such as trusted execution environments TEE and retroactive verification)
6. Sustainable monitoring systems that continuously oversee economic activities, equipped with self-diagnosis and self-correction capabilities

The synergy between the two will give birth to a truly organic, evolvable, and self-driven on-chain economy, which we define as the true intelligent economy.

All of this is far more than simply building a faster operating system or rearranging toolsets.

The on-chain economy has never been merely a stack of technologies. More accurately, it represents a collective narrative about value creation, distribution, and cognition, concerning collaboration, order, and consensus.

With the deep integration of AI agents, AI is no longer just an external efficiency-boosting tool but has become an internal structural component—possessing intentions, logic, preferences, and even goals.

This structural transformation is far more profound than technological advancement itself. We are transitioning from an on-chain system centered on human activity to a collaboration-driven intelligent network.

Consequently, the economy is no longer just a combination of rules and incentives; it begins to exhibit coherent, life-like characteristics: perceiving external data, internal responses, adjusting parameters, and reorganizing iterations under pressure.

The intelligent economy we speak of does not refer to the birth of emotions or consciousness but to the gradual perfecting of the internal information - action feedback loop. This means that collaboration no longer relies on external scheduling but can emerge naturally from within the system. This marks a directional shift in the foundational infrastructure of human civilization—from merely "governing the economy" to "embedding intelligence in the economy."

We often discuss the on-chain economy from the perspective of structural design and financial efficiency, but perhaps what is truly worth reconsidering is: when a system possesses the ability for continuous autonomous learning, adaptability, and self-collaboration, should we still simply define it as "economy"? Or is it evolving into a new form of life?

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