In the era of AI explosion, content is no longer a scarce resource. What truly holds the key? It’s actually **verifiable rights confirmation** + **sustainable value discovery**.

Let’s look at the current situation: AI-generated content is everywhere, models are producing rapidly, and even AI Agents are autonomously executing strategies. But here’s the problem—how do these outputs become real assets? Without a clear entry point to transform "outputs" into "assets," even a thriving AI economy cannot form a self-sustaining closed loop.

Recently, I came across a fairly clear idea: using NFT standards for on-chain rights confirmation.

How exactly does this work? First, digital assets are rights-verified through NFT standards like ERC-721/TRC-721, with key information and transaction records stored in a distributed manner for long-term preservation and traceability. This way, each AI output has a clear origin and ownership record.

Second, the problem arises—if these actions are only performed on a single chain, assets are easily locked up. So multi-chain deployment is necessary. Mainstream public chains like BSC, TRON, and Ethereum should all be covered, along with cross-chain interoperability solutions. Only then can broader liquidity and trading scenarios be supported. It sounds complex, but it’s crucial for the marketization of AI assets.

Digging deeper, this entry point essentially constructs a **complete channel for issuing, pricing, trading, and secondary markets of AI assets**. From early NFT trading platforms, it gradually evolves into the infrastructure supporting the entire AI ecosystem.

On a practical level, there’s a detail worth noting: high-frequency on-chain costs are a pain point for creators. The official solution is to reduce minting costs through staking or leasing energy, making it easier for AI outputs to go on-chain.

Overall, this scheme addresses three key issues simultaneously: using NFT standards for rights confirmation, employing distributed storage solutions to strengthen long-term records and proof links, and utilizing multi-chain and cross-chain solutions to handle larger scales of capital and trading flow. Coupled with energy cost reduction mechanisms, high-frequency on-chain activity has shifted from an ideal to a reality.

It’s like paving a path for the AI asset ecosystem toward an "exchange-level entry."