Restaking. It’s the talk of the town in crypto circles, and for good reason. The idea of taking your staked ETH—already securing the Ethereum network—and using it to secure other networks simultaneously is nothing short of revolutionary. It promises a future of hyper-efficient capital and shared security, a Cambrian explosion of new applications built on the bedrock of Ethereum’s trust. But as the initial euphoria settles, a much harder, less glamorous conversation is starting to bubble up. It’s a conversation about power, control, and what happens when it all goes wrong. We need to talk about the massive restaking governance challenges that lie just beneath the surface.
Let’s be real. The technology is brilliant. EigenLayer, the pioneer in this space, has unleashed a powerful new primitive. But with great power comes great complexity, and in the world of decentralized systems, complexity is where risk loves to hide. We’re building a system where billions of dollars in economic security can be delegated, redirected, and leveraged across dozens of new networks, or Actively Validated Services (AVSs). Who gets to decide the rules of this new game? Who holds the keys when a dispute arises? And most importantly, who bears the cost of a catastrophic failure? These aren’t just academic questions; they are the foundational pillars that will determine if restaking becomes a stable pillar of Web3 or a cautionary tale of hubris.
Key Takeaways
- The Core Problem: Restaking creates complex, multi-layered governance structures where it’s unclear who has the final say—restakers, operators, AVSs, or LRT DAOs.
- Operator Collusion Risk: A small number of large operators could potentially collude to attack an AVS, presenting a significant systemic risk to the entire ecosystem.
- Slashing Ambiguity: The rules for punishing bad behavior (slashing) are not standardized. This creates uncertainty and the potential for unfair penalties, where a bug in an AVS could lead to massive losses for restakers.
- LRTs Add Complexity: Liquid Restaking Tokens (LRTs) introduce another layer of governance, with DAOs controlling vast amounts of delegated stake, creating potential conflicts of interest and centralizing decision-making power.
What Even Is Restaking? A Quick Refresher
Before we dive into the governance rabbit hole, let’s get on the same page. Think about staking ETH. You lock up your ETH to help validate transactions and secure the Ethereum network, and in return, you get a reward. Your ETH acts as a security deposit, or collateral. If you misbehave, you get ‘slashed’—you lose some of your ETH. Simple enough.
Restaking, pioneered by EigenLayer, lets you take that same staked ETH and use it as a security deposit for other applications, too. These applications are called Actively Validated Services (AVSs). They could be anything from data availability layers and bridges to oracle networks and decentralized sequencers. Instead of having to build their own expensive set of validators from scratch, these AVSs can ‘rent’ security from Ethereum. It’s an incredibly efficient use of capital. Restakers get extra yield for taking on this extra risk, and AVSs get robust security at a fraction of the cost.
Sounds like a win-win, right? In theory, yes. But in practice, you’ve just created a tangled web of dependencies. Your ETH is no longer just subject to Ethereum’s rules; it’s now also subject to the rules of every single AVS you’ve opted into. And that’s where governance gets messy. Really messy.

The Core Governance Conundrum: Who’s Really in Charge?
The central issue with restaking governance is the diffusion of responsibility. In traditional ETH staking, the lines are clear. The Ethereum protocol sets the rules. You break them, you get slashed. End of story. In restaking, you have multiple parties with competing interests all tangled together.
- The Restaker: The individual or entity providing the ETH capital. They want maximum yield with minimum risk.
- The Operator: The entity running the validator software. Restakers delegate their stake to them. They are the ones actually performing the work for AVSs.
- The AVS: The project ‘renting’ the security. They want reliable, honest validation and the power to punish operators who fail to provide it.
- The Restaking Protocol: The middleman (e.g., EigenLayer) that facilitates this market for decentralized trust.
When an operator misbehaves while validating for an AVS, who gets to press the big red ‘slash’ button? The AVS? EigenLayer? What if the AVS has a bug and incorrectly flags a well-behaving operator? This isn’t a simple technical problem; it’s a deeply political and economic one.
The Operator Collusion Nightmare
Here’s a scenario that keeps security researchers up at night. The restaking world, much like the regular staking world, is susceptible to centralization. A handful of large, professional operators will inevitably end up controlling a significant percentage of the total restaked ETH. What happens if a few of these behemoths decide to collude?
Imagine an AVS securing a cross-chain bridge with $500 million in assets. If operators controlling, say, $300 million in restaked ETH decide they can make more money by colluding to steal the bridge’s funds than they would lose by getting slashed, the system is fundamentally broken. They could approve a fraudulent transaction, drain the bridge, and accept the slashing penalty as a ‘cost of doing business.’ This risk is magnified because a single operator’s stake secures many AVSs. A successful attack on one could trigger a crisis of confidence across the entire ecosystem.
This isn’t just a theoretical attack. The economic incentives must always make honesty the most profitable strategy. As restaking grows, ensuring that the cost of corruption is prohibitively high becomes the single most important security guarantee, and that’s a governance challenge.
Slashing: The Double-Edged Sword of Security
Slashing is the stick that enforces good behavior. It’s the ultimate deterrent. But its implementation in the restaking ecosystem is fraught with peril. The core problem is attribution. How can you be 100% certain that an operator acted maliciously versus being the victim of a network issue or a bug in the AVS’s own code?
If an AVS has the unilateral power to trigger slashing, it creates a massive power imbalance. A malicious or incompetent AVS could unfairly slash operators, causing huge losses for the restakers who delegated to them. This could lead to operators being extremely conservative, only opting into the most established, ‘safest’ AVSs, which would stifle innovation. On the other hand, if the process is too bureaucratic and requires a lengthy governance vote to slash a truly malicious actor, the damage might already be done.
Finding the right balance is one of the key restaking governance challenges. We need a system that is both swift enough to deter attacks and fair enough to protect honest operators from bugs and false accusations.

The AVS Vetting Problem: Not All Services Are Created Equal
Who decides which AVSs get to tap into this pool of shared security? In the beginning, this process is naturally centralized. The EigenLayer team, for example, vets the initial set of AVSs. This makes sense for bootstrapping the network and preventing outright scams from day one. But it’s not a sustainable long-term solution.
A truly decentralized ecosystem can’t rely on a central gatekeeper. So what’s the alternative? A permissionless system where any AVS can register? That opens the door to malicious services designed specifically to exploit slashing conditions or create chaos. A DAO vote? That can be slow and subject to voter apathy or manipulation. This is a classic decentralization trilemma playing out in a new domain. How do you ensure quality and safety without becoming a kingmaker?
Liquid Restaking Tokens (LRTs) and the Governance Maze
As if things weren’t complicated enough, enter Liquid Restaking Tokens (LRTs). Projects like Ether.fi, Renzo, and Puffer abstract away the complexity for users. You deposit your ETH, get an LRT back, and the protocol handles all the messy business of choosing operators and AVSs for you. It’s great for user experience, but it’s a governance nightmare.
These LRT protocols are amassing colossal amounts of restaked ETH. This means their DAOs are becoming incredibly powerful. The decisions they make about which operators to partner with and which AVSs to secure will shape the entire landscape. This creates meta-governance. You’re not just governing the LRT protocol; you’re governing the governors of the underlying restaking ecosystem.
This raises a whole new set of questions. Who are LRT token holders optimizing for? Themselves (maximum yield)? The health of the LRT protocol? The security of Ethereum? The security of the AVSs? These goals are not always aligned. An LRT DAO might be tempted to select riskier AVSs that offer higher rewards to attract more users, potentially putting the entire system at risk. It’s a classic principal-agent problem, magnified across multiple layers of abstraction.

Exploring Potential Solutions to Restaking Governance Challenges
Okay, it’s a complex mess. But the good news is that very smart people are actively working on these problems. The solutions are still emerging, but they generally fall into a few key categories.
Decentralized Veto Committees and Reputation Systems
One initial approach, being used by EigenLayer, is the formation of a ‘veto committee.’ This is a group of highly respected individuals from the Ethereum community who have the power to veto a slashing decision they deem unfair. It’s a form of ‘training wheels’ for the system, providing a human backstop against catastrophic bugs or malicious AVSs. While not fully decentralized, it’s a pragmatic step to build confidence in the early days.
Long-term, this will likely evolve into more robust, on-chain reputation systems for both operators and AVSs. Operators who consistently perform well across many AVSs would build up a trusted reputation, making them more attractive to delegators. AVSs that are well-coded and fair would similarly attract more security.
Attributable Security and Fine-Grained Slashing
The holy grail here is ‘attributable security’—the ability to cryptographically prove exactly which operator signed a malicious message. If you can achieve this, you can move away from collective punishment and toward highly specific, targeted slashing. This would allow an AVS to confidently slash a single bad actor without impacting any other operators. It’s technically very difficult to implement across a diverse range of AVSs, but it’s a crucial area of research for minimizing collateral damage and making the system fairer.
The Role of DAOs and Meta-Governance
Like it or not, LRT DAOs are here to stay, and they will be major power brokers. The key will be to design their governance structures with the right set of checks and balances. This could include things like:
- Risk Frameworks: Forcing DAOs to publish clear, transparent risk frameworks for how they select AVSs and operators.
- Delegation Programs: Encouraging broad participation in governance by allowing token holders to delegate their voting power to informed experts who can analyze the technical risks involved.
- Insurance Funds: Building protocol-owned insurance funds to cover losses from slashing events, protecting end-users and adding a layer of resilience.
The conversation around LRT meta-governance is just beginning, and it will be one of the most important arenas for innovation in the coming years.
Conclusion
Restaking is a technology with immense potential. It could fundamentally change how we build and secure decentralized applications. But its success is not guaranteed. The technology itself is only half the battle. The other half—the harder half—is building the robust, resilient, and fair governance systems to manage it.
The restaking governance challenges we’ve discussed are not reasons to dismiss the technology. They are the critical questions we, as a community, must answer. We are building a new layer of the internet’s trust infrastructure, and the stakes couldn’t be higher. Rushing forward without carefully considering the dynamics of power, risk, and control would be a recipe for disaster. The future of shared security depends on us getting this right.
FAQ
What is the single biggest governance risk in restaking?
The most significant risk is arguably operator collusion and centralization. Because a small number of large operators will likely control a majority of the restaked capital, there’s a real danger they could team up to attack or exploit a smaller AVS where the potential reward from the attack is greater than the value of their stake that would be slashed.
How do Liquid Restaking Tokens (LRTs) complicate governance?
LRTs add another layer of abstraction and agency. The LRT DAO, not the original ETH holder, makes the critical decisions about which operators and AVSs to support. This creates a potential conflict of interest. The DAO might prioritize high yields to attract users to its token, even if it means taking on risks that the underlying ETH holders might not be comfortable with. It concentrates immense decision-making power into the hands of LRT token holders.
Is restaking governance a ‘solved’ problem?
Absolutely not. It’s one of the most active and important areas of research and development in the crypto space today. Current solutions, like veto committees, are temporary ‘training wheels’ for the ecosystem. Long-term, sustainable solutions will require a combination of new technologies (like attributable security), sophisticated on-chain reputation systems, and well-designed DAO governance frameworks.


