Every day we post, comment, and interact online, essentially feeding AI for free. In the end, tech giants take user data to train models, raking in billions in valuation, while the real data producers see none of the profits. The emergence of DeAI (Decentralized AI) is fundamentally about reconstructing this profit distribution mechanism.
Recently, I researched
#OpenLedger , and I believe it's different from ordinary AI plus token projects; it’s more like building the 'economic infrastructure' within the AI world. The project is built on the OP Stack and aims to address the rights and monetization issues of data, models, and AI Agents.
It introduces a fascinating concept: Payable AI. Simply put, if you contribute high-value data to the network, such as financial, medical, or industry knowledge, and it gets used to train the model, then every time someone calls on that model in the future, the blockchain will automatically track contributions and distribute profits. Data has finally turned into a 'sustainable income-generating asset.'
Additionally, its OpenLoRA framework is worth a look. In the past, the cost of training and deploying AI was too high for average developers to participate, but OpenLedger aims to lower the barriers, allowing more AI Agents to be directly deployed on-chain. This is where
#AgentFi shows its greatest imagination—users might even be able to rent or invest in a trading-capable AI Agent directly in the future.
Of course, DeAI is still in a very early stage, and market sentiment can easily be swayed by narratives. What we really need to watch moving forward is the actual data call volume on the mainnet, developer activity, and whether there is sustained data consumption. If the token price just goes up without real demand to support it, we need to be cautious of a valuation bubble.
Blockchain addresses profit distribution, AI boosts production efficiency, and when combined, they might truly redefine the value attribution of the next generation of the internet.
#openledger $OPEN @OpenLedger