As part of Aptos mission to accelerate Aptos ecosystem growth, team often engage with community builders to aid their implementations and gather feedback on improving Aptos. A top request is for improvements to the gas schedule. This request correlates well with a core Aptos tenant, namely, that the demand of the network should largely dictate the costs associated with using Aptos.
As described in the article there is a three-stage plan to deliver demand-driven gas costs on Aptos:
- Early January 2023: Improve operations on NFT data to drop prices by 10x for dynamic NFTs.
- Q1 2023: Build gas-efficient data structures with end-to-end support from guides to indexing.
- Late Q1, early Q2 2023: Devise advanced gas model that separates storage and execution costs, thereby providing demand-driven gas costs for execution.
According to the article implementing the steps mentioned above will help to decrease gas fees rates by 10 to 100x!
What is your opinion on this topic do you think it is possible to achieve? 
Original article: 
