Grayscale: Ethereum's Staking Model Needs a Revamp

marsbitОпубликовано 2026-05-13Обновлено 2026-05-13

Введение

The article discusses potential changes to Ethereum's staking reward model, highlighting two structural issues. First, the shift of activity to Layer 2 networks is reducing transaction fees and token burns on the mainnet, leading to an increase in ETH's net issuance. Second, with withdrawals enabled and the rise of liquid staking tokens (LSTs) and exchange-traded products (ETPs), the friction cost for staking has nearly vanished. This could eventually lead to almost all ETH being staked, which may cause unnecessary dilution and centralization risks. To address this, the Ethereum community is considering a model that caps rewards beyond a certain staking threshold, discouraging excessive staking. Grayscale argues this change would be beneficial for ETH's long-term price by controlling inflation, reducing tail risks, and strengthening ETH's narrative as a store of value. It notes that ETH's price volatility has a much greater impact on returns than staking yields, which are currently around 3% annually.

Author: Zach Pandl, Head of Research, Grayscale

Compiled by: Deep Tide TechFlow

Deep Tide Guide: Zach Pandl, Head of Research at Grayscale, writes that Ethereum's current staking reward model faces two structural problems: L2 scaling is reducing token burn and increasing net issuance; staking friction is approaching zero, potentially locking nearly all ETH into staking. The community is discussing implementing a cap on staking rewards, which Grayscale believes would be beneficial for ETH's price in the long term.

The Ethereum community is considering revising the network's staking reward model, with the core idea being to only incentivize staking up to a certain ratio, with no additional rewards beyond that. If implemented, nominal returns for stakers would decrease. However, Grayscale argues this would be positive for ETH's price long-term for two reasons: controlling ETH inflation and strengthening ETH's narrative as a store-of-value asset.

The discussion for this reform is driven by two overlapping issues.

Diminished Token Burn, Rising Net Issuance

ETH's supply depends on the difference between new issuance and token burn. Currently, Ethereum L1 burns all base transaction fees. High fees mean more ETH is burned, suppressing supply growth.

Changes over the past few years have disrupted this balance. As more activity migrates to L2 networks, L1 transaction fees and token burns decrease, leading to a rise in net issuance.

Caption: Exhibit 1 – Drivers of ETH supply changes since PoS. After the Dencun upgrade, cumulative burn (green line) flattened, while cumulative issuance (orange line) continued to rise, causing ETH's net supply change (dark line) to turn positive from negative. Source: Coin Metrics, Grayscale Investments, data as of May 9, 2026

Compounding this issue, Ethereum L1 is now actively choosing to scale to compete with high-throughput chains like Solana. Pandl states directly: L1 transaction fees are likely to remain low for the foreseeable future, token burns will continue to decline, and net supply growth will expand further.

Staking Friction Costs Are Almost Zero

When Ethereum first launched staking, users could not withdraw assets; staked ETH was locked, illiquid, and thus carried a risk premium. Now that withdrawals are enabled, liquidity has greatly improved, and that risk premium has evaporated.

More critically, Liquid Staking Tokens (LSTs), Exchange-Traded Products (ETPs), and corporate ETH treasuries have entered the staking arena. The marginal cost of staking ETH is now close to zero. As long as the network continues to provide marginal rewards to stakers, nearly all ETH could eventually end up staked.

Staking is a necessary condition for the Ethereum protocol to function properly, but an excessively high staking ratio can be counterproductive.

Two risks. First, unnecessary dilution. Rising net issuance without substantially improving network security is like a country overspending on defense with no benefit to national security. Second, the tail risk of centralization where a few institutions dominate staking activity. This possibility exists due to network effects among service providers.

Implementing a Capped Staking Reward Curve

One proposed solution is to transition to a reward model that only incentivizes staking up to a certain level.

Caption: Exhibit 2 – Potential alternative staking reward curves for Ethereum. Under the current model (dark line), annualized issuance grows linearly with stake; Options A/B/C set caps or inflection points at different staking levels, causing issuance to flatten or even decline after the staking ratio exceeds a certain threshold. Source: Coin Metrics, Grayscale Investments, data as of April 26, 2026, options are hypothetical.

Grayscale believes such a change would be favorable for ETH's market value in the long term. ETH is a functionally useful commodity, not a financial claim like stocks or bonds, and should not be priced based solely on cash flows. Updating the staking reward model would reduce supply growth and enhance ETH's scarcity. For commodities, production cuts are price-positive; the same logic applies to ETH.

Reducing network tail risks, controlling long-term inflation, and it could also boost demand for unstaked ETH as a digital store-of-value asset.

There's another easily overlooked perspective: the impact of ETH's price volatility on investment returns far outweighs staking rewards. The current ~3% annualized staking yield is roughly equivalent to ETH's daily price volatility (annualized volatility over the past 360 days is ~60%, implying a daily volatility of ~3%).

Conclusion: Ethereum may revise its staking reward model to control long-term supply growth and reduce specific tail risks. If implemented, Grayscale believes this would be bullish for ETH's price.

Связанные с этим вопросы

QWhat are the two structural issues with Ethereum's current staking reward model mentioned in the Grayscale article?

AThe two structural issues are: 1) The migration of activity to L2 networks has led to lower L1 transaction fees and token burns, resulting in rising net issuance of ETH. 2) The friction cost for staking has dropped to nearly zero, as withdrawals are now enabled and services like LSTs and ETPs have emerged, which could eventually lead to almost all ETH being staked.

QAccording to the article, what solution is the Ethereum community considering to address the high staking ratio and rising net issuance?

AThe Ethereum community is considering modifying the staking reward model to implement a reward curve with an upper limit or inflection point, which would only incentivize staking up to a certain level. Beyond that threshold, additional staking would not earn extra rewards, thereby controlling long-term supply growth.

QHow does Grayscale view the potential impact of changing Ethereum's staking reward model on the price of ETH?

AGrayscale believes that implementing a capped staking reward curve would be a long-term positive for ETH's price. This is because it would reduce supply growth, enhance ETH's scarcity, and reinforce its narrative as a digital store of value, similar to how reduced production benefits commodity prices.

QWhy has the net issuance of ETH been rising post-Dencun upgrade, according to the article?

AFollowing the Dencun upgrade, net issuance has been rising because L1 transaction fees (which are burned) have declined as more activity migrates to L2 networks. This results in lower token burns while staking issuance continues, causing the cumulative net supply change to turn positive.

QWhat are the two risks associated with an extremely high percentage of ETH being staked, as outlined in the article?

AThe two risks are: 1) Unnecessary dilution of the ETH supply, where increased issuance does not meaningfully enhance network security. 2) A tail risk of centralization, where a few large institutional service providers could dominate the staking activity due to network effects.

Похожее

Fei-Fei Li's Team Clarifies the Concept of 'World Models', Sora Merely a Renderer

"World Models" has become a widely used yet confusing term in AI. To address this, a team led by Fei-Fei Li and World Labs proposed a functional taxonomy based on the Partially Observable Markov Decision Process framework. This taxonomy categorizes systems called "world models" into three distinct projections: Renderers, Simulators, and Planners. Renderers, like OpenAI's Sora and other video generation models, focus on producing photorealistic visual outputs for human perception. They prioritize visual fidelity over physical accuracy. Simulators, such as NVIDIA Omniverse, aim to compute precise future environmental states for computational tasks like engineering analysis or digital twins. Planners, like Vision-Language-Action models, take in observations and goals to output executable actions for robots or agents. The article clarifies that most current "world models," including Sora, are primarily Renderers. They generate convincing visuals but lack the core ability to simulate state transitions based on actions, a key requirement for a true world model in classic reinforcement learning definitions. This conceptual confusion has practical implications, leading to potential misalignment in technology selection, investment, and public understanding of AI capabilities. Clear categorization is crucial. It helps enterprises avoid costly mistakes (e.g., using a renderer for robot training), allows investors to accurately assess markets, and enables researchers to build comparable benchmarks. While future systems may integrate these functions, recognizing current boundaries is essential for honest assessment and progress.

marsbit35 мин. назад

Fei-Fei Li's Team Clarifies the Concept of 'World Models', Sora Merely a Renderer

marsbit35 мин. назад

Bloomberg Uncovered: How Do China's Wealthy Circumvent the Annual $50,000 Limit to Transfer Assets?

**Summary: How Wealthy Chinese Circumvent $50,000 Annual Foreign Exchange Limits** Despite China's strict capital controls, including an annual $50,000 per person foreign exchange quota, an estimated $150 billion in funds still leaves the country annually via various gray and underground channels. This report outlines the evolution of China's "capital wall" and the methods used to bypass it. **The Evolving Capital Controls:** * **Foundation (1994):** The system of "current account convertibility with strict capital account controls" was established. * **Quota Set (2007):** The $50,000 individual annual forex purchase limit was formalized. * **Crackdown Begins (2015-2017):** Following market volatility, enforcement tightened. Banks were required to scrutinize transactions, and channels like using UnionPay cards for Hong Kong insurance premiums or buying overseas property were blocked. * **Digital & Legal Upgrades (2024-2026):** Enhanced algorithms now flag suspicious patterns (e.g., "smurfing"). The Common Reporting Standard (CRS) provides Chinese tax authorities with data on citizens' offshore accounts. Unlicensed cross-border brokers have been targeted. **Five Primary Methods for Moving Capital:** 1. **Underground Banking / "Hawala" (Duiqiao):** The largest-scale method. No money crosses borders. Clients pay RMB to a domestic account; an overseas associate deposits equivalent foreign currency into the client's offshore account. Risks include high fees, account freezes, and legal penalties. 2. **"Smurfing" or "Ant Moving":** Using multiple individuals' $50,000 quotas to pool funds for one offshore recipient. Increasingly detected by anti-money laundering algorithms. 3. **Trade Invoice Manipulation:** Businesses over-invoice imports or under-invoice exports via offshore shell companies, creating a pretext to transfer excess funds abroad under the guise of trade. 4. **Channel Migration:** After a crackdown on internet brokers, funds flow toward more compliant but costly channels like major banks' cross-border wealth management services or Qualified Domestic Institutional Investor (QDII) quotas. 5. **Structural Arrangements:** High-net-worth individuals use complex, high-cost legal structures involving offshore trusts, insurance, and investment migration programs to transfer asset ownership. **Regulatory Response: Focusing on People, Not Just Money** The current strategy extends oversight from enterprises to **individual residents**. Tools like CRS allow retroactive visibility into offshore assets. Cryptocurrencies, once seen as a potential loophole, are now actively monitored and prosecuted as an illegal channel. The underlying driver remains: with significant wealth concentrated among millions of affluent households seeking diversification amid domestic economic shifts, the incentive to move assets offshore persists despite regulatory barriers.

marsbit55 мин. назад

Bloomberg Uncovered: How Do China's Wealthy Circumvent the Annual $50,000 Limit to Transfer Assets?

marsbit55 мин. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить S

Добро пожаловать на HTX.com! Мы сделали приобретение Sonic (S) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Sonic (S).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Sonic (S)После приобретения вами Sonic (S) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Sonic (S)С легкостью торгуйте Sonic (S) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

1.4k просмотров всегоОпубликовано 2025.01.15Обновлено 2026.06.02

Как купить S

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

Он решает проблемы масштабируемости, совместимости между блокчейнами и стимулов для разработчиков с помощью технологических инноваций.

2.3k просмотров всегоОпубликовано 2025.04.09Обновлено 2025.04.09

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

HTX Learn — ваш проводник в мир перспективных проектов, и мы запускаем специальное мероприятие "Учитесь и Зарабатывайте", посвящённое этим проектам. Наше новое направление .

1.8k просмотров всегоОпубликовано 2025.04.10Обновлено 2025.04.10

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на S (S) представлены ниже.

活动图片