Have we considered that the value models of most oracles currently are actually based on a fragile assumption?
This assumption is: the world only needs price data.
The explosion of DeFi has made price feed services a necessity.
It has also solidified our imagination of oracles.
But when the narrative shifts to AI and RWA (real-world assets),
I see a fundamental contradiction:
AI needs verifiable facts and knowledge,
What RWA needs are legal texts, asset states, and other non-standard information.
These are not just simple price numbers.
The economic model of AT has shown me its attempt to break free from 'price dependency' and construct new value anchors.
Its value is no longer merely tied to the trading volume of the crypto market,
Instead, it is anchored in the two massive real demands of AI and RWA that are about to explode.
First, the value logic of AT as an 'AI fact-checker'
Currently, AI models have a 'hallucination' problem, rooted in their training and inference data lacking verifiable sources.
AT's AI oracle is essentially playing the role of an **on-chain fact provider**.
It provides tamper-proof reliable data for AI models through multi-source verification and Byzantine fault tolerance consensus.
Imagine a scenario:
A DeFi protocol integrates AI investment advisors, where every step of market analysis is based on AT-validated on-chain/off-chain data.
Then, AT tokens become a necessity for purchasing 'trusted cognition'.
Its demand will grow linearly or even exponentially with the increase of trusted AI applications.
This introduces potential support for AT's value from the trillion-dollar AI market.
Second, the value accumulation of AT as an 'RWA data bridge'
Tokenizing assets like real estate, bonds, and carbon credits, the biggest obstacle is not technology, but trust.
How can a token on-chain unequivocally represent an off-chain physical asset?
AT's RWA oracle provides a two-stage deconstruction scheme:
In the first stage, use AI models to analyze unstructured data like legal documents and ownership certificates;
In the second stage, the authenticity of this information is verified through node network consensus.
Ultimately, generating immutable on-chain records.
This process is far more complex and expensive than transmitting a price.
Therefore, every time data on an RWA asset is successfully put on-chain and continuously verified for its state,
all imply higher fees for AT network services, and more tokens being locked in staking and governance.
When traditional financial assets are put on-chain on a large scale,
AT will become the key pillar supporting this value bridge, its value being implicitly connected to the total scale of RWA assets.
Collaborative design of token economic models
AT's fixed total supply of 1 billion, in a deflationary model, aligns with this positioning towards high-value data services.
It does not dilute value like inflation models with unlimited issuance.
As the demand for AI and RWA data skyrockets, network transaction fees consumed by AT increase,
under limited and gradually released circulation volume,
which are more likely to form healthy supply-demand dynamics, supporting long-term value growth.
Therefore, my point of view is very clear:
Investing in AT, in a sense, is investing in our trust in two core asset forms of the future world.
One type is AI-driven digital assets (intellectual assets),
The other type is real-world assets (physical assets) transformed by blockchain.
AT is embedding itself into the essential path of the birth of these two types of assets, the trusted data verification process.
Its long-term narrative has already transcended the volatility intrinsic to crypto,
deeply rooted in the soil of the real economy and cutting-edge technological development.
