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Aptos Unveils Tokenomics Overhaul With Lower Staking Yield and 2.1B APT Cap
Aptos has laid out one of its most substantial tokenomics changes since launch, tightening issuance, raising onchain costs and setting a hard supply ceiling in what looks like a clearer attempt to reshape the network’s long-term economic model. The update includes a cut to staking APY from previous levels down to 2.6%, a 10-fold increase in gas fees, and the introduction of a 2.1 billion APT hard cap. Aptos also said the foundation will permanently lock 210 million APT, removing a significant chunk of supply from circulation planning. Lower emissions, higher fees and a firmer supply ceiling Taken together, the changes suggest Aptos is leaning toward a more constrained and arguably more deliberate token economy. Lower staking rewards reduce ongoing token emissions, while a hard cap gives the asset a clearer terminal supply narrative than before. The gas fee increase is more complicated. Raising fees by 10 times may sound severe at first glance, but networks usually make that kind of change for one of two reasons. Either activity has grown enough that old pricing no longer makes sense, or the chain wants to discourage spam and rebalance how value accrues across the ecosystem. In Aptos’ case, the move appears to be part of a broader redesign rather than a standalone adjustment. Buybacks and token burns move into focus The company also said it is exploring programmatic buybacks, which would add another lever to support the token’s market structure over time. That is not yet a finalized mechanism, but the fact it is being discussed at all matters. More concrete is the burn outlook. Aptos expects to burn more than 32 million APT annually after its new ecosystem DEX goes live. If that estimate holds, the chain could begin offsetting a meaningful share of issuance through actual usage rather than narrative alone. That gives the update a sharper edge than many tokenomics announcements. Aptos is not only reducing rewards and locking tokens. It is trying to build a framework where network activity itself may become a more visible driver of supply pressure over time.