
Beyond throughput, to how Ethereum calculates transaction fees, known as gas. He argued that not all activity burdens the network equally. Temporary computing use differs from permanent data storage.
Currently, Ethereum bundles these costs together. Yet deploying new contracts or adding permanent data increases the blockchain’s long-term size. Every node must store that data forever. Over time, that growth raises the cost of running a node.
Buterin’s proposal would separate these costs more clearly. Long-term storage would become more expensive. Meanwhile, everyday transaction processing could gain more room. This shift would help Ethereum handle more activity without sharply accelerating blockchain growth. It would also reduce the risk of smaller operators exiting due to rising storage demands.
The broader aim targets network accessibility. Ethereum could process more transactions while avoiding a future where only large entities can afford participation.
Read more on Analytics Insight

