Lido Pulls the Trigger: Massive $16.5 Billion Operation to Lighten Ethereum’s Network Load

Lido aims to increase network efficiency by migrating $16.5 billion worth of staked assets to a new validator structure in order to ease the load on the Ethereum network.

Liquid staking protocol Lido has launched its largest infrastructure move since the V2 update in 2023. This massive operation, covering approximately 8 million staked ether (stETH), aims to reduce the total number of validators on the Ethereum network by one-third. This move will provide a more robust structure by easing the background transaction load of the network.

An Era of Efficiency on the Ethereum Network

With this update, Lido is migrating professional node operators to the Curated Module v2 (CMv2) system. In the new system, operators will be required to lock their own ETH assets as collateral for the first time to guarantee their performance. This brings a more secure model where financial responsibility is added to the previous reputation-based system.

This technological transformation will streamline the network structure, which resembles a complex and powerful processor architecture. Attestation messages on the Ethereum network are expected to decrease by approximately 29 percent per epoch. While this will not directly lower transaction fees, it will significantly improve the network’s overall performance and synchronization speed.

Operators and Reward Rates

While all 34 existing operators are expected to transition to this new system, it is anticipated that the collateral requirement will not lead to operator loss. A minor decrease of approximately 0.28 percent in annual staking rewards may occur during the transition process. However, this process is seen as a critical step for the long-term sustainability and security of the Ethereum ecosystem.

Validators will continue to earn rewards until they exit the system. This massive migration, in line with Ethereum’s future scalability goals, will create a more efficient operating environment by reducing complexity in the network’s consensus layer.