If an institution holds millions of ETH and decides to stake most of it, does Ethereum become more centralized as a result?
The answer may seem obvious.
Under proof-of-stake (PoS), if an increasing amount of ETH is held by a small number of large institutions, it would appear that influence over the network is becoming concentrated among fewer participants.
The reality, however, is more complicated.
Over the past year, as more institutional capital has entered Ethereum staking and EIP-7251 has raised the maximum effective balance of a single validator from 32 ETH to 2,048 ETH, the staking ecosystem has undergone two changes that may look similar but are fundamentally different.
On the one hand, large pools of capital are indeed becoming more concentrated. On the other, more ETH is being consolidated into fewer validators.
Do these two trends necessarily increase Ethereum’s centralization risk?
1. As More Institutional ETH Enters Staking, Is Centralization Increasing?
Let us begin with the data.
According to Lido’s report for the first half of 2026, the Ethereum staking market grew from approximately 36.3 million ETH at the beginning of the year to 43.1 million ETH by the end of June—an increase of roughly 19% in six months.
This measurement includes ETH waiting in the entry queue but excludes ETH already in the exit queue.
More noteworthy, however, was the change in where the capital came from.
During the same period, institutional staking’s share of the market increased from 25.9% to 35.3%, a rise of almost 10 percentage points.
In other words, an increasing proportion of newly staked ETH is coming from corporate treasuries, exchanges, custodians, and other professional market participants.
The shift is equally visible in market share.
As of June 30, 2026, Lido remained Ethereum’s largest staking protocol, accounting for approximately 21.2% of all staked ETH. Yet its share had declined from 23.9% at the beginning of the year.
Over the same period, BitMine, Coinbase, and Binance accounted for approximately 11.5%, 10.9%, and 7.9% of the market, respectively. BitMine’s growth was particularly significant: its share increased by roughly 10 percentage points in just six months.
This reveals an interesting change in Ethereum staking.
For years, discussions about staking centralization focused primarily on liquid staking protocols such as Lido. The concern was that, as more users staked through a single protocol, consensus power could become increasingly concentrated.
Now, a different trend is emerging.
As large institutional ETH holders participate in native staking at scale, the structure of staking capital is changing. Liquid staking protocols are no longer the primary destination for newly staked ETH.
That raises several questions.
If one institution holds more than 10% of all staked ETH, does it also directly control more than 10% of Ethereum’s validators? If hundreds of thousands of validators are consolidated into a smaller number of high-balance validators, is Ethereum deliberately moving toward centralization?
To answer these questions, we first need to separate several concepts that are often conflated.
2. Does Owning Millions of ETH Mean Controlling an Equivalent Amount of Validation Power?
One of the most common mistakes when assessing staking centralization is treating ownership of the capital and operation of the validators as the same thing. Further reading: “With 34% of ETH Staked, How Should You Stake in the Era of Native Compounding?”
They are not. In practice, control exists at three distinct levels.
The first is asset control: who owns the staked ETH and who has the authority to exit staking, withdraw the assets, or switch service providers.
The second is validator operations: who runs the nodes, manages the validator signing keys, proposes blocks, and performs attestations and other consensus duties.
The third is infrastructure and decision-making power: whether a large number of validators depend on the same client software, cloud provider, or MEV relay—and how much influence a platform’s governance structure or management team has over the coordination of those validators.
The degree of concentration can differ across these three levels.
Consider an institution that owns one million ETH and stakes all of it, but distributes the stake across more than a dozen independent node operators.
From the perspective of asset ownership, the one million ETH is clearly concentrated in the hands of a single institution. From the perspective of validator operations, however, the validators may be managed by different service providers, deployed across multiple regions, and run with different client software.
The reverse situation can be equally concerning.
Suppose tens of thousands of users each own 32 ETH but all rely on the same node operator to perform their validation duties.
Asset ownership would be widely distributed, while validator signing, operations, and infrastructure could remain highly concentrated.
The key question, therefore, is who ultimately performs consensus duties for the ETH—and whether different participants share common points of failure or depend on the same decision-makers.
This does not mean that large institutional holdings present no centralization risk.
If an institution both owns a large amount of ETH and controls the signing keys for all the corresponding validators, its influence over Ethereum’s consensus cannot be ignored.
Even when external node operators are used, the asset owner may still influence validator behavior indirectly through service agreements, capital allocation, withdrawals, reallocations, and decisions to switch operators.
Ethereum’s consensus weight is also allocated according to effective staked balance. If one participant—or a coordinated group—controls enough of that balance, it may be able to affect the network’s finality.
For example, under certain conditions, a coordinated group controlling more than one-third of the active stake could prevent the network from reaching finality.
Whether large-scale staking threatens decentralization cannot therefore be determined solely by looking at how much ETH an institution owns. Nor can the risk be dismissed simply because the institution uses several service providers.
Assessing staking concentration requires more than comparing market shares. It requires examining the actual distribution of asset ownership, signing authority, validator operations, infrastructure dependencies, and coordination power.
3. From 32 ETH to 2,048 ETH: What Has Changed for Large-Scale Staking?
At the same time that institutional capital has been entering staking at scale, Ethereum's Pectra upgrade has significantly changed how large ETH stakes are managed.
In particular, EIP-7251 raised the maximum effective balance of a single validator from 32 ETH to 2,048 ETH while preserving the minimum activation threshold of 32 ETH. Further reading: “As 8 Million ETH Starts Moving, Is Ethereum Staking Undergoing a Structural Shift?”
Why was this change necessary?
Under the previous model, an operator with 1,024 ETH would generally need to divide it into 32 separate deposits and create 32 validators.
Each validator had its own signing identity, participated independently in consensus duties, and introduced additional costs related to key management, message propagation, and state maintenance.
After EIP-7251, the same 1,024 ETH can, subject to protocol rules, be consolidated into a single 0x02 validator. This can significantly reduce operational overhead and the additional burden placed on the consensus layer.
Another major change is native compounding.
The effective balance of a traditional 0x01 validator is capped at 32 ETH. Rewards above that amount do not increase the validator’s effective weight. If users want those rewards to participate in native staking, they must make separate arrangements to reinvest them.
This was not an insurmountable problem for large staking pools. They could aggregate rewards generated by many validators, accumulate another 32 ETH, and create a new validator.
For long-term holders operating only one or several validators, however, the process was far less convenient. Staking rewards do not arrive as a single 32 ETH payment—they accumulate gradually over a long period.
EIP-7251 allows consensus-layer rewards to remain within a compounding validator’s balance. Its effective balance can then increase in 1 ETH increments under the protocol’s rules, allowing additional ETH to contribute to reward calculations until its effective balance reaches the cap of 2,048 ETH.
In other words, a process that previously required users to withdraw rewards, accumulate them, and stake them again can now take place natively within the Ethereum protocol.
For large institutions, this can significantly reduce the number of validators they need to operate, together with the associated costs of key management and infrastructure maintenance.
For ordinary long-term holders, it also removes the need to accumulate another 32 ETH before smaller amounts of earned ETH can begin contributing to native staking rewards.
Ethereum is therefore making large-scale, institutional, and professional staking more flexible at the protocol level. Capital can be organized more efficiently, rewards can compound more naturally, and operators can manage stake without mechanically splitting it into countless 32 ETH validators.
The added convenience, however, also brings new operational requirements.
Unlike traditional validators, 0x02 validators do not automatically withdraw rewards above 32 ETH by default. If users want to spend, trade, or otherwise manage those rewards, they must initiate a partial withdrawal under the protocol’s rules.
Converting a traditional 0x01 validator into a 0x02 validator is also irreversible. Large holders managing their own validators need to exercise particular caution when consolidating them. An incorrect target validator or improperly configured authorization information could lead to serious losses.
Final Thoughts
Looking back at the evolution of large-scale Ethereum staking, two trends are advancing at the same time.
The first is happening at the market level. As institutional capital continues to enter, ETH staking is becoming an increasingly important part of long-term asset management.
The second is happening at the protocol level. Through upgrades such as EIP-7251, Ethereum is moving away from the mechanical fragmentation of stake into large numbers of 32 ETH validators, allowing substantial positions to participate in consensus more efficiently.
But greater efficiency does not necessarily mean greater decentralization.
A decline in the number of validators does not, by itself, prove that the network is becoming more centralized. Conversely, a large validator count does not guarantee decentralization if the underlying signing authority and operational control remain concentrated.
Ultimately, decentralization depends on how control is actually distributed—and whether the network can avoid becoming excessively dependent on a small number of operators, clients, cloud providers, and other infrastructure providers.
For users, this is also a reminder that APR should no longer be the only consideration when comparing ETH staking solutions.
In practice, imToken’s non-custodial ETH staking service offers both Compounding Validators and Auto-Withdrawal Validators. Users can choose between them depending on whether they want to accumulate ETH over the long term or receive staking rewards through automatic withdrawals.
The non-custodial model also keeps withdrawal control with the user while professional service providers handle validator signing and operations. This allows users to retain control of their staked assets without having to maintain the underlying infrastructure themselves.
From this perspective, the next stage of Ethereum staking is about enabling users with different amounts of ETH to participate with greater clarity, control, and efficiency.
That may be the most important long-term change in the era of large-scale staking.