Ethereum – BlackRock drops ETH ETF staking fee as firm issues ‘warning’

ambcryptoPublished on 2026-03-07Last updated on 2026-03-07

Abstract

BlackRock has reduced the staking fee for its Ethereum ETF from 18% to 10% to stay competitive, as most U.S. spot ETH ETFs are now including staking features. Demand for ETH staking has surged, with a record 37 million ETH staked, representing 30.6% of the circulating supply. However, Culper Research warns that recent network upgrades like Fusaka have lowered validator rewards, potentially reducing staking demand and negatively impacting ETH's value. The firm has taken a short position on ETH, citing declining validator activity. Despite this, Ethereum co-founder Vitalik Buterin views the upgrades as beneficial long-term. ETH's price is consolidating near $2k, with a potential volatile move ahead.

BlackRock has slashed the staking fee on its Ethereum ETF to remain competitive.

According to Bloomberg ETF analyst James Seyffart, the world’s largest asset manager reduced its staking fee from 18% to 10%, citing an amended filing.

Most U.S Spot ETH ETFs have applied to add a staking feature to their products. So far, some issuers, like Grayscale, have begun distributing rewards to investors.

Is staking demand for ETH at risk?

With surging institutional interest as investors hunt for the 3% staking rewards, overall demand has hit record levels. In fact, the amount of staked ETH hit 37 million ETH for the first time – A 30.6% of the overall circulating ETH supply.

The massive staking demand was further reinstated after the validator entry queue flipped the exit queue in late 2025. At press time, over 3 million ETH were waiting to enter the validator system. This hinted at a strong appetite for staking rewards.

The staking demand could be net positive for ETH’s value.

However, Culper Research believes that recent network upgrades could reverse staking dynamics. According to the trading firm’s warning, Fusaka and other upgrades have lowered validator tips and contracted the overall yield paid to stakers.

The firm claimed,

“Lower yields decrease demand for staking and high-value activity, undermining institutional adoption. The flywheel is now running in reverse.”

Culper Research cited the decline in active validators as a telltale sign of an underlying crisis in the staking segment. It went on to say that this will eventually dent staking demand and overall ETH value, prompting it to go short on ETH.

While plausible, another key data point which could validate Culper Research’s short thesis would be if the validator exit queue surpasses the entry queue.

Even so, Ethereum co-founder Vitalik Buterin views the recent and planned network upgrades as net positive for builders and institutions. In fact, Buterin is positive that upcoming upgrades will reduce the overall cost of running validators, especially solo validators.

It remains to be seen how institutional investors will react to these upgrades in the long run and what impact they may have on ETH demand.

Meanwhile, ETH’s price has been consolidating tightly near $2k, with the Bollinger Bands hinting at a volatile breakout at press time.

Whether it will be a bearish or a bullish breakout will be determined by the broader macro environment and ongoing geopolitical tensions.


Final Summary

  • BlackRock slashed the staking fees for its ETH ETF amid surging demand for ETH staking rewards.
  • However, Culper Research warned that ETH’s price could drop further due to recent upgrades that have affected validator tips and yields.

Related Questions

QWhy did BlackRock reduce the staking fee on its Ethereum ETF?

ABlackRock slashed the staking fee on its Ethereum ETF from 18% to 10% to remain competitive in the market.

QWhat recent change in Ethereum's validator queues indicates strong staking demand?

AThe validator entry queue surpassed the exit queue in late 2025, with over 3 million ETH waiting to enter the validator system, indicating a robust appetite for staking rewards.

QWhat is the primary concern raised by Culper Research regarding Ethereum staking?

ACulper Research warned that recent network upgrades, like Fusaka, have lowered validator tips and contracted overall staking yields, which could decrease demand for staking and undermine institutional adoption.

QWhat does Culper Research cite as a sign of a potential crisis in the Ethereum staking segment?

ACulper Research cited the decline in active validators as a telltale sign of an underlying crisis in the staking segment.

QHow does Ethereum co-founder Vitalik Buterin view the recent and planned network upgrades?

AVitalik Buterin views the recent and planned network upgrades as a net positive for builders and institutions, believing they will reduce the overall cost of running validators, especially for solo validators.

Related Reads

Apple Also Has to Pay Rent Now

Apple Pays Rent Too: The Two-Way Flow of "Traffic Tax" and "AI Capability Rent" Between Tech Giants For over two decades, Google has paid Apple an estimated $20 billion annually to remain the default search engine on Safari, a "traffic tax" for a critical user entry point. However, in 2026, the direction of this cash flow partially reversed. Apple agreed to pay Google roughly $1 billion per year to license its Gemini AI models, as Apple's own models reportedly struggled with complex tasks. This creates a unique dynamic: Apple acts as the "landlord" in the established search ecosystem, collecting rent from Google for access. Simultaneously, in the emerging AI arena, Apple becomes the "tenant," paying Google for access to cutting-edge AI capabilities it cannot currently match internally. While Apple claims its new models are "distilled" from Gemini outputs and contain "not a drop" of Google's original code, core dependencies remain. Its knowledge base is refined using Gemini's outputs, and its most powerful cloud model runs on Google's infrastructure. Apple has structured the deal as non-exclusive, allowing it to theoretically switch AI suppliers—a hedge against over-reliance. The future hinges on whether advanced AI models become a commodity (cheap and abundant) or remain a concentrated, scarce resource (expensive and controlled by few). Apple is betting on the former, leveraging its massive device ecosystem to be a powerful, choosy customer. If the latter proves true, its bargaining power could erode. This power dynamic is extending to developers. Apple, Google, and WeChat are all pushing for apps to expose their core functions as standardized "actions" or "intents" that their respective AI assistants (Siri, Gemini, WeChat AI) can directly call. The new scarce resource is no longer just app store visibility, but "being selected by the AI." The currency of "rent" has changed from a 30% revenue share to ceding control over how users interact with an app's functions.

marsbit15m ago

Apple Also Has to Pay Rent Now

marsbit15m ago

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

With the excitement around SpaceX's recent public listing reigniting interest in the US stock market, Chinese investors face significant challenges accessing compliant and convenient trading channels following regulatory actions against major online brokers. This article explores the available options, highlighting their risks and limitations. Traditional paths for US stock investments remain problematic. Qualified Domestic Institutional Investor (QDII) and Listed Open-Ended Fund (LOF) products, while compliant, suffer from high fees, significant purchase premiums, and a very limited selection of assets. Small, unregulated offshore brokers pose substantial risks, including potential insolvency. While secure, VIP accounts at banks in Hong Kong or Singapore require high minimum deposits (often 1-2 million RMB) and in-person visits, placing them out of reach for most retail investors. The article positions cryptocurrency exchanges, specifically their TradFi (traditional finance on-chain) offerings, as a compelling alternative. Platforms like WEEX are noted for providing access to a wide range of US stocks and ETFs, including SpaceX (SPCXON), through tokenized assets. This method offers advantages such as a single account for both crypto and traditional assets, USDT-based settlement avoiding fiat complexities, flexible leverage, and robust risk management. To attract users, WEEX is promoting a "First Trade Guarantee" campaign. Running from June 15 to July 8 (UTC+8), it features a $30,000 prize pool. Users who trade $500 worth of US stock contracts can qualify for a guarantee on their first eligible trade: 100% loss coverage up to $30 or a 20% bonus on profits up to $30. The campaign is presented as a low-risk opportunity for both crypto natives and traditional investors to experience US stock trading.

marsbit16m ago

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

marsbit16m ago

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

How Hard Is It to Make a Chip? A Division Error Cost $475 Million Chip expert Shi Kan, a researcher at the Chinese Academy of Sciences and a popular tech creator, explains the immense challenges of chip development. Chips are foundational to modern technology, but their creation is extraordinarily difficult. The journey from sand to a functional chip involves complex design and manufacturing, but a critical bottleneck is verification—ensuring the design works flawlessly before costly production. A single, undetected bug can have catastrophic consequences, as illustrated by the infamous 1994 Intel Pentium FDIV bug. A flaw in the floating-point division unit forced a recall costing $475 million. Unlike software, chips cannot be easily patched after manufacture, making "first-time success" paramount. However, industry surveys show only 24% of chip projects achieve this; over three-quarters require at least one costly re-spin due to design flaws. Verification has thus become the dominant phase, consuming up to 70% of the design cycle. The core challenge is a "verification impossible triangle" between high performance, good debuggability, and low cost. Exhaustively verifying a modern CPU core could take 15,000 years with software simulation, or 30 years with advanced hardware emulation—timeframes utterly impractical for development. Despite being essential, verification is often seen as unglamorous "dirty work," receiving less academic attention than fields like AI. Shi and his team are tackling this by developing an agile verification research framework called ENCORE, based on FPGA technology, to improve verification efficiency and debug capability. Beyond research, Shi engages in public science communication through long-form video content, aiming to demystify chip technology, AI, and computer science. He argues for the value of pursuing "hard and long-term" endeavors, whether in the meticulous world of chip verification or in creating substantive educational content, believing such sustained effort is likely the right path forward.

marsbit26m ago

How Difficult is Chip Making? A Division Error Costs 475 Million Dollars

marsbit26m ago

Blockchain Has Finally Started to Sail into the Mainstream After 18 Years

Blockchain Finds Its True Path After 18 Years: Becoming the Financial Backbone for AI Agents and Autonomy This analysis explores a pivotal shift in the blockchain and crypto investment landscape, driven by the dominance of AI. Major venture capital firms, including Variant, Paradigm, Haun Ventures, and YZi Labs, are moving beyond pure "crypto" investment theses. They are expanding their focus to AI, robotics, and frontier tech, signaling that blockchain is no longer seen as a standalone sector but as an underlying infrastructure layer. The core argument is that blockchain's killer application may not be user-facing apps, but rather providing the economic rails for the coming wave of AI agents, autonomous robots, and automated systems. Key capabilities like self-custody wallets, programmable stablecoins for micropayments, on-chain identity, and verifiable smart contracts are positioned as essential for a future where machines conduct economic activity. The recent $1.4 billion investment by Tether (via its venture arm) in German robotics company NEURA Robotics exemplifies this, aiming to embed Tether's wallet tools directly into robots for autonomous transactions. While many "AI + Crypto" projects remain superficial, the article concludes that true value lies where crypto is a necessary component—enabling machine-to-machine payments, agent autonomy, verifiable data provenance, and open financial settlement for the AI era. For crypto venture capital, this convergence with AI represents both an adaptation to shifting capital flows and a potential path to unlocking the large-scale, non-speculative utility the industry has long sought.

marsbit47m ago

Blockchain Has Finally Started to Sail into the Mainstream After 18 Years

marsbit47m ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片