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Aptos eyes tokenomics overhaul to scale APT deflation

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Aptos eyes tokenomics overhaul to scale APT deflation

The Aptos Foundation has announced plans to revise its tokenomics in an effort to enhance the deflationary aspects of its native token, APT. As part of this strategy, the Foundation will recommend implementing a hard cap of 2.1 billion tokens. This change aims to improve the economic model and potentially increase the value of APT by limiting the total supply available in the market.

In addition to the proposed token cap, the Aptos Foundation is looking to make short-term adjustments to staking rewards. These modifications will involve a decrease in the rewards that stakers currently receive, which is expected to further support the token's deflationary trajectory. By reducing the incentives for staking, the Foundation hopes to encourage a more active trading environment for APT.

Another significant change on the horizon is a proposed tenfold increase in gas fees, which are the costs associated with processing transactions on the Aptos network. This adjustment is intended to align the fees more closely with the actual demand for network usage and to ensure that transaction costs remain sustainable as the platform grows. The increase in fees may also serve to reduce congestion on the network, improving overall efficiency.

These proposed changes come at a time when the Aptos ecosystem is seeking to expand its user base and enhance the utility of its token. By refining its economic structure and encouraging a more balanced approach to token circulation, the Aptos Foundation aims to position APT as a more attractive option for investors and users alike.

Stakeholders within the Aptos community will have the opportunity to engage with these proposals, as feedback is essential to the decision-making process. The Foundation is committed to transparency and will keep the community updated on any developments regarding the proposed changes to tokenomics.

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This article was inspired by reporting from CoinTelegraph. · Report an issue

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