This website uses cookies
We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information that you’ve provided to them or that they’ve collected from your use of their services.
Consent Selection
Details
  • Necessary cookies help make a website usable by enabling basic functions like page navigation and access to secure areas of the website. The website cannot function properly without these cookies.

    • Learn more about this provideropens in a new window
      CookieConsentStores the user's cookie consent state for the current domain
      Maximum Storage Duration: 1 yearType: HTTP Cookie
    • Learn more about this provideropens in a new window
      bcookieUsed in order to detect spam and improve the website's security.
      Maximum Storage Duration: 1 yearType: HTTP Cookie
      li_gcStores the user's cookie consent state for the current domain
      Maximum Storage Duration: 180 daysType: HTTP Cookie
    • Learn more about this provideropens in a new window
      datadomeUsed in context with the website's BotManager. The BotManager detects, categorizes and compiles reports on potential bots trying to access the website.
      Maximum Storage Duration: 1 yearType: HTTP Cookie
    • _pk_testcookie_domainThis cookie determines whether the browser accepts cookies.
      Maximum Storage Duration: 1 dayType: HTTP Cookie
    • __cf_bm [x3]This cookie is used to distinguish between humans and bots. This is beneficial for the website, in order to make valid reports on the use of their website.
      Maximum Storage Duration: 1 dayType: HTTP Cookie
  • Preference cookies enable a website to remember information that changes the way the website behaves or looks, like your preferred language or the region that you are in.
    • Learn more about this provideropens in a new window
      lidcRegisters which server-cluster is serving the visitor. This is used in context with load balancing, in order to optimize user experience.
      Maximum Storage Duration: 1 dayType: HTTP Cookie
  • Statistic cookies help website owners to understand how visitors interact with websites by collecting and reporting information anonymously.
    • Learn more about this provideropens in a new window
      guestRegisters data on visitors' website-behaviour. This is used for internal analysis and website optimization.
      Maximum Storage Duration: 1 monthType: HTTP Cookie
    • Learn more about this provideropens in a new window
      personalization_idThis cookie is set by Twitter - The cookie allows the visitor to share content from the website onto their Twitter profile.
      Maximum Storage Duration: 400 daysType: HTTP Cookie
    • _pk_uidUsed by Piwik Analytics Platform to identify the visitor on repeat visits to the website.
      Maximum Storage Duration: 1 yearType: HTTP Cookie
      _pk_id#Collects statistics on the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been read.
      Maximum Storage Duration: 1 yearType: HTTP Cookie
      _pk_ses#Used by Piwik Analytics Platform to track page requests from the visitor during the session.
      Maximum Storage Duration: 1 dayType: HTTP Cookie
    • FPGSIDRegisters statistical data on users' behaviour on the website. Used for internal analytics by the website operator.
      Maximum Storage Duration: 1 dayType: HTTP Cookie
      FPIDRegisters statistical data on users' behaviour on the website. Used for internal analytics by the website operator.
      Maximum Storage Duration: 400 daysType: HTTP Cookie
      FPLCRegisters a unique ID that is used to generate statistical data on how the visitor uses the website.
      Maximum Storage Duration: 1 dayType: HTTP Cookie
    • _gaRegisters a unique ID that is used to generate statistical data on how the visitor uses the website.
      Maximum Storage Duration: 2 yearsType: HTTP Cookie
      _ga_#Used by Google Analytics to collect data on the number of times a user has visited the website as well as dates for the first and most recent visit.
      Maximum Storage Duration: 2 yearsType: HTTP Cookie
  • Marketing cookies are used to track visitors across websites. The intention is to display ads that are relevant and engaging for the individual user and thereby more valuable for publishers and third party advertisers.
    • Learn more about this provideropens in a new window

      Some of the data collected by this provider is for the purposes of personalization and measuring advertising effectiveness. The provider may use the IP Addresses for ads measurement and ads personalization.

      ads/ga-audiencesUsed by Google AdWords to re-engage visitors that are likely to convert to customers based on the visitor's online behaviour across websites.
      Maximum Storage Duration: SessionType: Pixel Tracker
    • Learn more about this provideropens in a new window
      userRefererDetermines how the user accessed the website. This information is used by the website operator in order to measure the efficiency of their marketing.
      Maximum Storage Duration: 1 monthType: HTTP Cookie
    • Learn more about this provideropens in a new window
      #:session-dataTracks the individual sessions on the website, allowing the website to compile statistical data from multiple visits. This data can also be used to create leads for marketing purposes.
      Maximum Storage Duration: PersistentType: HTML Local Storage
      eng_mtTracks the conversion rate between the user and the advertisement banners on the website - This serves to optimise the relevance of the advertisements on the website.
      Maximum Storage Duration: PersistentType: HTML Local Storage
      t_gidThis cookie assigns a specific visitor ID, when the visitor interacts with ads or content from the website - this allows the website to target the visitor with similar ads or content.
      Maximum Storage Duration: 1 yearType: HTTP Cookie
      t_pt_gidCollects information on user preferences and/or interaction with web-campaign content - This is used on CRM-campaign-platform used by website owners for promoting events or products.
      Maximum Storage Duration: 1 yearType: HTTP Cookie
      taboola global:user-idSets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.
      Maximum Storage Duration: PersistentType: HTML Local Storage
      taboola_session_idThis cookie is used to collect information on a visitor. This information will become an ID string with information on a specific visitor – ID information strings can be used to target groups with similar preferences, or can be used by third-party domains or ad-exchanges.
      Maximum Storage Duration: SessionType: HTTP Cookie
    • Learn more about this provideropens in a new window
      1/i/adsct [x2]Collects data on user behaviour and interaction in order to optimize the website and make advertisement on the website more relevant.
      Maximum Storage Duration: SessionType: Pixel Tracker
      muc_adsCollects data on user behaviour and interaction in order to optimize the website and make advertisement on the website more relevant.
      Maximum Storage Duration: 400 daysType: HTTP Cookie
      guest_idCollects data related to the user's visits to the website, such as the number of visits, average time spent on the website and which pages have been loaded, with the purpose of personalising and improving the Twitter service.
      Maximum Storage Duration: 400 daysType: HTTP Cookie
      guest_id_adsCollects information on user behaviour on multiple websites. This information is used in order to optimize the relevance of advertisement on the website.
      Maximum Storage Duration: 400 daysType: HTTP Cookie
      guest_id_marketingCollects information on user behaviour on multiple websites. This information is used in order to optimize the relevance of advertisement on the website.
      Maximum Storage Duration: 400 daysType: HTTP Cookie
    • _gcl_auUsed by Google AdSense for experimenting with advertisement efficiency across websites using their services.
      Maximum Storage Duration: 3 monthsType: HTTP Cookie
      _gcl_lsTracks the conversion rate between the user and the advertisement banners on the website - This serves to optimise the relevance of the advertisements on the website.
      Maximum Storage Duration: PersistentType: HTML Local Storage
    • pardot [x2]Used in context with Account-Based-Marketing (ABM). The cookie registers data such as IP-addresses, time spent on the website and page requests for the visit. This is used for retargeting of multiple users rooting from the same IP-addresses. ABM usually facilitates B2B marketing purposes.
      Maximum Storage Duration: SessionType: HTTP Cookie
  • Unclassified cookies are cookies that we are in the process of classifying, together with the providers of individual cookies.
    • cs_analytics_ip_blockedPending
      Maximum Storage Duration: SessionType: HTTP Cookie
      user_tokenPending
      Maximum Storage Duration: 1 yearType: HTTP Cookie
    • _twpidPending
      Maximum Storage Duration: SessionType: HTTP Cookie
Cookie declaration last updated on 8/20/26 by Cookiebot
[#IABV2_TITLE#]
[#IABV2_BODY_INTRO#]
[#IABV2_BODY_LEGITIMATE_INTEREST_INTRO#]
[#IABV2_BODY_PREFERENCE_INTRO#]
[#IABV2_BODY_PURPOSES_INTRO#]
[#IABV2_BODY_PURPOSES#]
[#IABV2_BODY_FEATURES_INTRO#]
[#IABV2_BODY_FEATURES#]
[#IABV2_BODY_PARTNERS_INTRO#]
[#IABV2_BODY_PARTNERS#]
About
Cookies are small text files that can be used by websites to make a user's experience more efficient.

The law states that we can store cookies on your device if they are strictly necessary for the operation of this site. For all other types of cookies we need your permission.

This site uses different types of cookies. Some cookies are placed by third party services that appear on our pages.

You can at any time change or withdraw your consent from the Cookie Declaration on our website.

Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy.

Please state your consent ID and date when you contact us regarding your consent.

ETH’s value crisis amid scaling and Institutional interest

Timer13 Min. Lesezeit

  • Ethereum
  • Previous Valuation Model: We initially projected a high future price for ether (ETH), based on the assumption that Ethereum's fee burn mechanism (EIP-1559) would tie network utility directly to token value through substantial Layer 1 (L1) fees.

  • Impact of Layer 2 Success: The introduction of blob space in the Dencun hardfork made Layer 2 (L2) settlement significantly cheaper, which as expected, removed a demand vector for Ethereum block space. However it also, perhaps unexpectedly, encouraged existing Ethereum use cases to migrate to L2s, lowering Ethereum transaction demand as a whole.

  • ETH Inflation and Overvaluation: The sharp drop in L1 fee spend suggests that ETH is currently overvalued when considering our fundamental investment case model.

  • Possible Solutions: Restoring ETH's value accrual could involve developing new L1 use cases that generate substantial fees, achieving massive growth in L2 transactions, or repricing L2 blob space to increase their level of fee burn.

  • Challenges with Protocol Changes: Continuous and unpredictable changes to Ethereum's protocol economics create uncertainty, making it difficult to build reliable valuation models and potentially deterring institutional investors.

Back in the fall of 2023 we published a comprehensive investment case for ether along with a valuation model built on the back of what we identified as being the fundamental mechanisms of the Ethereum protocol that are responsible for driving the value of ETH. 

In short, our thesis is that after the implementation of EIP-1559, the introduction of the burn creates a conduit for overall system utility—as measured by the purchasing power of the total fees spent on the L1 platform—to generate upwards pressure on price by creating a downwards pressure on supply. In other words, improving the utility of the Ethereum system can now accrue value directly to token holders. We thought this was quite interesting and exciting.

Taking the total fee spend of 2021 as a conceivably achievable level of fee spend 5 years into the future, we then built a model that assumed an equilibrium state between issuance and burn at a 45% stalking rate and a $10bn annual fee spend on the Ethereum L1. With those assumptions, our model put out an equilibrium price of $8,219 in 2028, if the usefulness of Ethereum was to grow sufficiently to generate $10bn of annual transaction fees by that time.

The Accrual of Value to the Ether Token is Extremely Sensitive to Fee Spend

As should be obvious from the paragraphs above, one of the major sensitivities of this model is L1 fee spend. At the time of writing, Ethereum L1 transaction fees were running at an annualised rate of about $2.5 billion, driven mostly by trading on DEXs, layer-2 projects (L2s) and transferring tokens (ETH, stablecoins, and other general ERC-20s). Among the newer entrants into the use cases generating significant L1 fee spend were the so-called Ethereum L2s. Back then, in order to settle their batches of transactions back onto the L1, L2s had to use a relatively expensive type of Ethereum function named calldata. This had two important effects:

  1. L2s were unable to achieve the level of cost savings deemed necessary for the level of scaling they were envisioned to provide, and;

  2. L2s generated a significant amount of L1 fees (about 10-15% of the total and anywhere from $150m - $550m annualised)

In addition, at that time, L2s had not developed far enough in their capabilities to cannibalise a significant amount of L1 gas expenditure. All in all this upheld a status quo with an ether inflation rate that tended to hover right around zero—the exact point we believe to be the most stable long-term state—and where the system seemed rather well balanced in terms of supply and demand.

Eth Circulating supply

But as Often Happens in Ethereum, Things Changed

When we wrote up the valuation framework, the Dencun hardfork was looming on the horizon. As one of its key changes, it would introduce the so-called blob space, which would dramatically reduce the necessity of L2s to pay significant amounts of gas. Instead of needing to settle to the L1 using expensive calldata, L2s could now settle within the blob space, and at a fraction of the cost in gas burned.

The benefits were obvious, if L2 transactions could have their costs reduced by several orders of magnitude, this would allow a huge amount of the smaller value transactions to move from the L1 over to the L2 where transaction speed is greater and transaction capacity more plentiful. The Ethereum ecosystem could also better support users of a smaller wallet size, who were seemingly being priced out paying high transaction fees and taking their business toward alternative platforms of comparable functionality (e.g. Solana, Binance Chain, etc.).

The changes in protocol economics from the Dencun hardfork looked quite spooky in terms of valuation risk, and we were clear about that in our writing. To us, the risk was as obvious as the benefit: If L2s were too successful, not only would all the calldata gas burn go away, but L2s might also attract all sorts of other transaction demand that had previously been settled directly on the L1, effectively destroying the L1 burn. If the L1 burn went too low, inflation would rise and dramatically lower the zero inflation equilibrium price point. 

In other words, we feared that rather than complementing Ethereum, the L2s could become parasitic, syphoning its use cases while not paying the fees necessary to fill the leftover gap.

The Outcome, Unfortunately, was Exactly What We Feared

Turns out that pretty much our worst case scenario came to pass. The rollout of blob space made L2s so much cheaper and so much faster than the L1, that ETH supply destruction has effectively gone to zero. This has made the ETH inflation rate gradually climb, and its price has not performed well either. While the price is still nowhere near its supply equilibrium level, performance has been negative as the fee spend has dropped.

Going into Dencun the argument for why this dramatic change to the protocol economics would not have a large enough impact as to almost entirely obliterate the L1 fee spend went something along the lines of: “Decentralisation and settlement assurance matters. There are many use cases that are important enough that users will still prefer the comparatively higher security levels of the L1”. And we get that, we really do. It sounds very reasonable. 

The problem is that for the things that Ethereum is actually used for, decentralisation and security seem rather unimportant for most users. And frankly, given the amount of usage that had already moved from Ethereum to Binance Smart Chain and even Solana, that should at least have been widely suspected, even if not fully appreciated.

Given the Current L1 Fees, Ether Looks Dramatically Overvalued

If we revisit our valuation model with assumptions that extrapolate the fee environment since the Dencun hard fork came into effect, we’d come to the conclusion that the market is overvaluing ETH at current prices, and that our former estimate of it reaching a unit price of $8,219 in five years time could turn out to be a miserable overcalculation.

Since L2s have received the benefit of blob space settlement in March 2024, Ethereum’s transaction fees have sharply dropped. From Q1 to Q2 2024 user spending fell from $1.1b to $480m, a relative change of negative 56%. Furthermore, spending in Q3 2024 is on pace for just $300m — a 73% drop since the hardfork activated at the end of Q1.

When we model out the months since the change we arrive at a total annual spend of nearly $1.5 billion. If we keep the same assumptions otherwise — a flat ETH supply inflation, which using the existing staking rate of 28% equates to a necessary gas price of 25 gwei — our current equilibrium value estimate for ETH is $1,541.

It’s Not All Doom and Gloom

Now, even if what we’re doing here certainly constitutes raising the alarm bells regarding Ethereum protocol economics and the negative impact we think the current gas price is having and will continue to have on the ETH price, the situation is not all doom and gloom. Let’s not forget that the reason L1 fees have cratered is that Ethereum L2s have been such a resounding success that it has literally drawn the life blood right out of the base layer.

In other words, L2s are doing exactly what they are meant to do, they are just arguably doing it too well and at too low of a cost. The gas price of the blob space was simply set too low. Unfortunately this is a bit of a typical Ethereum problem: tinkering with complicated things is extremely difficult, and it has a tendency to generate unintended consequences. But this is the general approach they have chosen, so we will simply have to live with the ongoing effects of that.

Number of daily translations on Ethereum layer 2's (excluding ethereum)

Looking at some L2 metrics, their success is undeniable. Usage is growing steadily, and the number of transactions executed per second is approaching 140, an over 10x increase above the base layer of Ethereum (13 tx/s). Given that the strategy of the Ethereum Foundation is to build as large of a network effect around the Ethereum ecosystem as possible, this approach makes sense. But what about the network economics? Absent any real fee spend, we can’t see any fundamentals-anchored mechanism whereby increasing transaction demand on the L2 should lead to any appreciable value accrual at the token level.

Three Possible Options For Restoring The Burn

As mentioned both in our original valuation paper and above, we see three possible options for restoring L1 fee spend to a level where we regain an appreciable burn rate. 

Either: 

  1. A robust set of L1-specific use cases need to emerge and be willing to pay a substantial amount of gas for transactions;

  2. L2 transaction counts need to grow astronomically (several orders of magnitude), or;

  3. L2 blob space must be repriced

Ethereum monthly transaction fees (US$) by category

Given the current state of the Ethereum fee spend, alternative 1 seems like a distant possibility. And while L2 usage is growing very healthily, at current growth rates and protocol economics, it would take decades for L2 usage to reach the levels necessary to even replace 2023 L1 fee spend ($2.4b), let alone reach the highs of 2021 ($10bn) assumed in our model.

Unfortunately, we think the most likely outcome is alternative number 3. It’s unfortunate not because we don’t think it would be able to achieve the goal, but because it would just be another instance of the seemingly endless ongoing timeline of constant protocol tinkering, where each change on top of adding some new shiny thing tends to “fix” some previous inefficiency or unintended consequences… and then creating a whole new set of both.

Or perhaps nothing will happen, because the Ethereum community might in fact be finding themselves in between a bit of a rock and a hard place. Given that there are several (important and influential) companies now—many of which have (important and influential) Ethereum developers on their boards—who have built entire business models around the current L2 economics, the prospect of rugging these industrial partners is probably not going to seem like a great approach either.

To Tinker or not to Tinker, That’s the Question

At some point, Ethereum needs to figure out what it actually wants to be when it grows up. Yes, it is still young, and to many it is still seen as a startup kind of project—nimble and agile—pivoting as and when needed in a fast moving space. The problem with this is that Ethereum is a protocol, not a company, and protocols need stability in order to build lasting network effects. The whole point is that other people are supposed to use them for things, but that’s really difficult if you don’t know what the protocol will even look like 2 years — let alone 10 years — from now.

Moreover, as Ethereum is making an attempt at venturing deeper into the institutional investment space, Ethereans will find that professional allocators have higher expectations for fundamental investment cases than “don’t worry, we’ll figure it out later—look at our growth”; that type of approach tends to find a more receptive audience in the venture capital space.

The danger here is that, just as Ethereum had seemingly finally found a working fundamental mechanism for tying increasing protocol utility and usage to token value accrual, the underlying economics driving this mechanism are way too fluid to form a reasonable assumption set on which to build valuation models. 

A large portion of the challenges that Ethereum is facing, in our opinion, comes from the unintended consequences of ongoing and major protocol changes. Thus, we suggest the Ethereum community (or Foundation) refrain from making major modifications to the protocol, at the very least as they relate to ETH economics. If the goal is an uncontrollable and open computing platform, focus on incremental changes to that end. Allow for the cultivation of long-term use cases that can add lasting value to a platform having those characteristics. Eventually, then, should those protocol features have real demand, the fees will come. Entrepreneurs will be better positioned to plan for a stable protocol, building applications that deliver on long-term promises to users, who will ultimately decide just how valuable the ecosystem becomes.

Here, and we cannot stress this enough, a culture of rapid and unpredictable changes to the protocol economics is functionally indistinguishable from no protocol economics. This may be ok for retail investors, or even HNWIs with high risk tolerance, but it will simply not fly in front of the risk committees of professional investment firms.

Veröffentlicht amOkt 25th, 2024

Schriftsteller
Absolvent der University of Texas, wo er den ersten Einführungskurs zu Kryptowährungstechnologien ins Leben rief.

Willkommen bei CoinShares

Personenbezogene Daten

0102

Wir verwenden Cookies, um Inhalte und Anzeigen zu personalisieren, um Funktionen für soziale Medien bereitzustellen und um unseren Datenverkehr zu analysieren. Wir geben auch Informationen über Ihre Nutzung unserer Website an unsere Partner für soziale Medien, Werbung und Analysen weiter, die diese mit anderen Informationen kombinieren können, die Sie ihnen zur Verfügung gestellt haben oder die sie aus Ihrer Nutzung ihrer Dienste gesammelt haben. Wenn Sie die Verwendung von Cookies akzeptieren, erklären Sie sich mit der in der Datenschutzrichtlinie und der Cookie-Richtlinie beschriebenen Verarbeitung dieser Daten einverstanden.

 

Wir verwenden Cookies auf unserer Website, um unsere Dienste zu optimieren. Erfahren Sie mehr über unsere EU-Cookie-Richtlinie oder unsere US-Cookie-Richtlinie.

  • Erforderlich
    Question circle icon
  • Präferenzen
    Question circle icon
  • Statistisch
    Question circle icon
  • Marketing
    Question circle icon
Notwendige Cookies helfen dabei, eine Website nutzbar zu machen, indem sie grundlegende Funktionen wie die Seitennavigation und den Zugang zu sicheren Bereichen der Website ermöglichen. Ohne diese Cookies kann die Website nicht richtig funktionieren.
Präferenz-Cookies ermöglichen es einer Website, Informationen zu speichern, die das Verhalten oder Aussehen der Website verändern, wie z. B. Ihre bevorzugte Sprache oder die Region, in der Sie sich befinden.
Statistik-Cookies helfen Website-Betreibern zu verstehen, wie Besucher mit Websites interagieren, indem sie Informationen anonym sammeln und melden.
Marketing-Cookies werden verwendet, um Besucher auf verschiedenen Websites zu verfolgen. Ziel ist es, Anzeigen zu schalten, die für den einzelnen Nutzer relevant und ansprechend sind und damit für Verlage und dritte Werbetreibende wertvoller sind.