Sufficientudo
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AITECH'S BURN & ENGAGEMENT MODEL: Fueling a Sustainable Future for $AITECH
AITECH isn’t just building an AI-powered Web3 ecosystem — it’s designing sustainability right into its tokenomics.
At the core of this is AITECH’s dynamic burn and engagement model, which balances long-term health with short-term activity.
Here’s how it works:
🔹 Activity-based burning
Whenever there’s user or platform activity, a portion of $AITECH tokens is permanently burned — reducing supply and boosting long-term value.
🔹 Supporting participation
Another portion of the tokens is redirected to support ecosystem participation — from powering services to rewarding contributors.
As the platform scales, the system is designed to adapt:
The burn rate may increase to enhance deflationary effects
The engagement model evolves, prioritizing long-term usage and utility
This flexible structure helps align $AITECH with real-world usage, scalability, and a utility-driven future. Unlike fixed models, AITECH’s approach grows with its community — supporting a healthier, more functional ecosystem over time. $AITECH
At the core of this is AITECH’s dynamic burn and engagement model, which balances long-term health with short-term activity.
Here’s how it works:
🔹 Activity-based burning
Whenever there’s user or platform activity, a portion of $AITECH tokens is permanently burned — reducing supply and boosting long-term value.
🔹 Supporting participation
Another portion of the tokens is redirected to support ecosystem participation — from powering services to rewarding contributors.
As the platform scales, the system is designed to adapt:
The burn rate may increase to enhance deflationary effects
The engagement model evolves, prioritizing long-term usage and utility
This flexible structure helps align $AITECH with real-world usage, scalability, and a utility-driven future. Unlike fixed models, AITECH’s approach grows with its community — supporting a healthier, more functional ecosystem over time. $AITECH
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