$AITECH uses a dynamic burn model designed to ensure long-term sustainability and utility within the Solidus AI Tech ecosystem. Every time users access services—like AI computing power or marketplace features—a portion of the transaction profits is split: part of the tokens are permanently burned (removed from circulation), while the rest is used to replenish staking pools and support ongoing platform participation. This means that as activity on the platform increases, more tokens are burned, gradually reducing the total supply and helping to make $AITECH scarcer and potentially more valuable over time.
Why This Matters for Sustainability and Scalability
Unlike static or one-off burns, $AITECH’s approach is adaptive. As the ecosystem grows, the proportion of tokens burned increases, while the share allocated to staking pools decreases. For example, if initially 10% of transaction profits are burned and 10% go to staking, over time the burn rate can rise (e.g., 12%, 14%, up to 20%), with staking rewards tapering off. This evolving mechanism ensures that early participants are rewarded, but the long-term focus shifts toward supporting token value and platform health. The result is a deflationary model that incentivizes both engagement and holding, aligning the interests of developers, users, and the broader community.
How This Benefits the Ecosystem
This model benefits everyone in the $AITECH ecosystem. For users and holders, the decreasing supply can support long-term value. For developers and builders, it means a healthier, more sustainable platform with ongoing incentives for participation and innovation. As the platform scales and the Compute Marketplace launches, this burn mechanism will help drive adoption and maintain a robust, utility-driven token economy. By combining a flexible burn strategy with real-world AI infrastructure, $AITECH is building a foundation for lasting growth in the Web3 space.