The Node Ahead: Why Value Capture Matters More Than Ever

Issue 113

The approach required to succeed in crypto investing is undergoing a fundamental transformation. For much of the asset class’s history, simply having exposure was enough; asset selection mattered far less than participation itself. That is no longer the case. Over the past several years, a structural shift driven by regulation, market maturation, and evolving tokenomics has pushed investors away from broad exposure and toward much more rigorous fundamental analysis.

In the earliest phase of the market, the opportunity set was limited. Bitcoin emerged in 2009 as a decentralized monetary asset and remained largely uncontested for years. Ethereum expanded the design space in 2015 by introducing programmable smart contracts, but it was not until the ICO boom of 2017 that the number of investable assets expanded dramatically. Thousands of tokens entered the market, followed by the rise of decentralized finance (DeFi) in 2019 and 2020, when protocols such as Uniswap and Aave demonstrated that on-chain financial systems could operate at meaningful scale.

From bitcoin’s inception through roughly 2022, crypto markets were defined by high correlation and strong reflexivity. Most assets moved together, but smaller tokens often outperformed bitcoin during periods commonly referred to as “alt seasons.” In these phases, capital rotated aggressively into higher-risk assets, and it was often easier to outperform a passive bitcoin strategy simply by holding a diversified basket of altcoins. Narrative, liquidity, and momentum dominated. Broad exposure to the asset class was frequently enough to generate outsized returns.

That dynamic began to break down in 2023. Bitcoin rebounded sharply from its 2022 lows and continued setting new all-time highs through 2025, but the broader market failed to keep pace. Outside of short-lived thematic bursts such as memecoins in late 2023 or AI-related tokens in 2024, most assets significantly underperformed. By 2025, many altcoins had declined 80–99% from their peaks, even as certain networks continued to grow in usage, fees, and user adoption. The dispersion between winners and losers widened dramatically.

This divergence was not accidental. It reflected a structural shift in both regulation and market incentives. Following the collapse of FTX in late 2022, U.S. regulators entered an aggressive enforcement phase. The SEC expanded its view that most liquid crypto assets outside of Bitcoin should be considered securities under the Howey framework. In this context, Bitcoin’s long-standing classification as a commodity became critically important. It positioned Bitcoin as a “clean” macro asset within crypto: simple, decentralized, and relatively insulated from regulatory risk.

At the same time, regulatory ambiguity around tokens contributed to the proliferation of memecoins. By deliberately avoiding any appearance of a common enterprise with profit expectations tied to managerial efforts, memecoins largely fell outside the SEC’s purview. Paradoxically, their lack of utility, governance, or formal value accrual mechanisms made them easier vehicles for speculative capital under the regulatory conditions that developed during Gary Gensler’s tenure. As a result, capital flowed toward assets driven primarily by cultural narratives rather than fundamentals.

The combination of Bitcoin as a regulatory-sanctioned commodity and memecoins existing outside effective oversight created a barbell structure in the market. Capital concentrated at one end in an institutionally legible asset and at the other in pure speculative instruments, while the middle of the market—comprising many networks with real usage and economic activity—was left in a regulatory gray zone.

DeFi protocols were disproportionately affected by this dynamic. Many demonstrated clear product-market fit, generating trading fees, lending activity, and sustained user growth, yet their tokens often failed to reflect that success. The reason was structural. To minimize legal risk, teams frequently avoided embedding explicit value capture mechanisms at the token level. This created a persistent disconnect between network performance and token returns and became a major driver of DeFi’s underperformance between 2022 and 2024.

Since then, the regulatory environment has begun to shift, gradually creating space for DeFi protocols to design compliant mechanisms that allow tokenholders to participate more directly in the economic value generated by these systems. At the center of this evolution is tokenomics.

Tokenomics refers to the economic design governing how a token is created, distributed, and managed. More importantly, it defines how a network creates, captures, and distributes value. In an ideal system, usage generates economic activity, that activity produces revenue, and that revenue accrues—directly or indirectly—to tokenholders. In practice, this loop has often been incomplete.

The evolution of tokenomics over the past fifteen years reflects repeated attempts to close this gap. Bitcoin represents the simplest and most credible design: fixed supply, no insider allocations, democratic participation in issuance, and a transparent monetary policy that has remained unchanged since inception. The ICO era expanded crypto into programmable platforms but often introduced large insider allocations, unclear accrual mechanisms, and inflationary emissions designed to bootstrap adoption. While this enabled rapid experimentation, it also created structural misalignment, with early stakeholders often capturing disproportionate upside relative to users.

The DeFi boom of 2020 marked the first serious attempt to address liquidity and adoption through explicit incentive design. Liquidity mining and governance tokens enabled rapid scaling of on-chain activity, but at the cost of continuous emissions and weak long-term value capture. Capital became increasingly mercenary, drawn by yield rather than conviction, creating persistent sell pressure that weakened the relationship between protocol success and token price. The subsequent “high FDV, low float” model further intensified these issues by front-loading valuations while deferring supply. FDV, or Fully Diluted Valuation, refers to the theoretical value of a token network if all tokens—including those still locked for insiders, investors, or future emissions—were already in circulation. In practice, this meant projects launched with very high implied valuations while only a small percentage of tokens were actually available to trade. This made the market capitalization appear far larger than the liquid market actually was, allowing early price discovery on a thin float to set valuations for the entire network. As additional tokens unlocked over time, that expanding supply often created sustained downward pressure, effectively turning retail demand into exit liquidity for early investors.

More recently, tokenomics has entered a phase of greater scrutiny around value capture and distribution. The market is beginning to distinguish more clearly between protocols that generate economic activity and those that successfully translate that activity into tokenholder value. A protocol can generate significant usage, fees, and ecosystem growth while failing to transmit that success to its token. Value creation refers to the economic activity generated by the network, while value capture determines whether the token is structurally entitled to that activity. When this linkage is weak, protocols can thrive operationally while their tokens underperform. The central question is no longer whether a protocol is successful, but how effectively it converts usage into tokenholder value.

This leads to a more rigorous framework for evaluating tokenomics. Investors must assess four interconnected dimensions: whether real economic activity exists, whether that activity is monetized, whether monetization accrues to the token, and whether supply dynamics amplify or dilute that accrual. A failure at any layer can break the transmission mechanism between adoption and token performance.

This framework is primarily useful for the middle segment of the market structure described earlier. It is not intended to be universally applied across all cryptoassets. At one end of the spectrum sits Bitcoin, whose value is best understood through its monetary properties and role as a decentralized store of value rather than through tokenomic value-capture mechanics. At the other end sit memecoins, which are driven primarily by speculation and typically lack durable economic linkage to value creation.

The framework is therefore focused on the large set of assets in between—protocols and networks that generate real usage and economic activity, but where the key question is whether that activity translates into sustainable value accrual for tokenholders. Within this segment, tokenomics becomes the critical lens for distinguishing between surface-level adoption and true investable value.

The first dimension, value creation, asks whether a protocol generates sustained, organic economic activity. Without genuine demand—trading volume, borrowing activity, or transaction fees—no token design can create durable value. A key distinction exists between incentivized activity and organic usage. Many protocols appear successful during incentive programs, only for activity to collapse once subsidies are removed. Durable value creation is persistent, fee-generating, and relatively insensitive to short-term incentives, making it the only reliable foundation for token valuation. Most networks fail at this stage, much like early-stage startups that never reach true product-market fit.

The second dimension, value capture, examines whether economic activity is actually monetized. A protocol may show strong usage yet generate little revenue if it chooses not to charge for services or operates in a highly competitive environment with compressed margins.

Morpho illustrates this clearly. As a decentralized, non-custodial lending protocol, it has scaled rapidly to more than $13 billion in deposits and supports lending products for major platforms including Coinbase, Bitwise, and Apollo. Borrowers pay substantial interest, and the system demonstrates clear real-world utility, with roughly $170 million in annual interest flowing to lenders. Yet the protocol captures virtually none of this value because it operates with a 0% take rate, passing all interest directly to lenders. The MORPHO token functions primarily as a governance instrument without a claim on this revenue stream.

This design has been effective in driving adoption by offering structurally superior rates, but it creates a fundamental disconnect: a productive system with no direct linkage to tokenholder value. The implicit strategy is to prioritize growth first, with the expectation that monetization can be introduced later. A fee switch embedded in the protocol could allow governance to implement a take rate and capture part of these flows over time. However, activating it would likely reduce yields, weaken competitiveness, and risk capital outflows. This creates a direct tension between growth and monetization. As it stands, there is no binding mechanism linking protocol success to tokenholder returns. Until a sustainable value capture model is both activated and proven, MORPHO remains a governance shell around a thriving protocol—an exceptional product, but an uninvestable token.

The third dimension, value distribution, focuses on whether captured revenue actually reaches tokenholders. This is where design choices such as fee sharing, buybacks, burns, or staking rewards become critical. Even when protocols generate meaningful revenue, that value often flows to service providers such as validators or node operators rather than to tokenholders. In traditional equity markets, this relationship is straightforward: cash flows accrue to shareholders. In crypto, distribution has often been weakened or abstracted due to regulatory constraints, leaving many tokens closer to governance or utility instruments than direct claims on economic output. When distribution is weak, valuation becomes dependent on narrative and marginal demand rather than intrinsic cash flow.

Chainlink illustrates this dynamic. Chainlink is an oracle network, meaning it provides external real-world data—such as asset prices, interest rates, or market events—to blockchain applications that otherwise cannot access information outside their own network. These data feeds, known as oracle services, are essential for many DeFi applications to function because smart contracts rely on accurate outside information to execute properly. Chainlink secures tens of billions of dollars in value and is deeply embedded across the ecosystem, reflecting strong value creation. It also captures value because users pay to access these data services. However, those payments have historically flowed primarily to the node operators who provide the data rather than to tokenholders. While the LINK token plays a role in staking and network security, for much of its lifecycle there has been no direct, programmatic link between network usage and tokenholder returns. As a result, increased adoption does not automatically translate into value accrual for the token. Newer mechanisms aim to strengthen this connection, but Chainlink remains a clear example of how real usage and even revenue generation do not necessarily translate into token value without explicit distribution design.

The fourth dimension, supply dynamics, determines how issuance, unlock schedules, and emissions interact with demand. Circulating supply at launch, vesting schedules, insider allocations, and ongoing inflation all shape price behavior. Even strong value creation and capture can be offset by dilution, while constrained supply or deflationary mechanisms can amplify relatively modest demand. In practice, this dimension often dominates short- to medium-term price action.

When all four dimensions align, they create a tight feedback loop between usage and token value. Value creation provides the economic foundation, value capture ensures monetization, value distribution directs that value to tokenholders, and supply dynamics determines whether it is diluted or amplified. Together, they explain why many seemingly successful protocols fail to generate durable token returns.

Hyperliquid represents one of the clearest emerging examples of how these dimensions can work together. It demonstrates strong value creation through substantial trading activity on its decentralized perpetuals exchange. It captures that value by charging fees on platform activity and is currently generating over $1 billion in annualized revenue. It then distributes that value in a highly direct way: approximately 97% of that revenue is used to buy back the token on the open market, creating continuous demand tied directly to platform performance. This means that as trading volume rises, fee revenue rises, and token buybacks increase alongside it. The fourth dimension—supply dynamics—is less perfect, as future token unlocks still create some dilution risk. However, the scale of the revenue and the aggressiveness of the buyback mechanism are currently strong enough to offset much of that supply overhang. The result is a system where the first three dimensions are strongly aligned and the fourth, while imperfect, is more than compensated for by rapid growth and sustained buy pressure. Unlike earlier models where value leaked away from tokenholders, Hyperliquid creates a feedback loop in which greater platform success reinforces token demand, making it one of the strongest current examples of effective token design.

Taken together, these dynamics highlight the central challenge—and opportunity—of modern crypto investing. It is no longer sufficient to identify protocols with strong adoption or compelling technology. The key question is whether that success translates into tokenholder value, and how efficiently it does so. As the market matures, tokens that represent credible claims on economic activity will increasingly separate themselves from those that function primarily as coordination tools or speculative instruments.

Encouragingly, the regulatory environment is gradually evolving in a way that may enable stronger alignment. After years of uncertainty, clearer rules and more defined jurisdictional boundaries are beginning to emerge, creating space for protocols to experiment with designs that more directly connect revenue and tokens. Established DeFi platforms such as Aave and Uniswap are already exploring mechanisms that move closer to traditional financial models, where tokenholders have clearer exposure to underlying economics.

The implication is that the true investable universe in crypto is far smaller than headline token counts suggest. While millions of tokens exist, only a small subset generate real economic activity, capture that activity as revenue, distribute it to tokenholders, and manage supply responsibly. That number will likely grow as the industry matures, but the era of broad, undifferentiated exposure is over. The “spray and pray” approach is no longer viable. Capital is becoming more concentrated, and returns are increasingly accruing to a narrower set of assets.

For years, the central questions in crypto were whether the technology worked and whether it could scale. Those questions have largely been answered. The systems function, and they do so at scale. The market is now asking a different question—one that is far more familiar in traditional finance: who actually captures the value?

That question is reshaping the industry. The next generation of tokens will be defined not by narrative or utility alone, but by their ability to encode credible claims on economic activity. The shift from coordination mechanisms to value-bearing assets is already underway, and as tokenomics continues to evolve, it will increasingly determine not just which protocols succeed, but which tokens are ultimately worth owning.

Disclaimer: This is not investment advice. The content is for informational purposes only, you should not construe any such information or other material as legal, tax, investment, financial, or other advice. Nothing contained constitutes a solicitation, recommendation, endorsement, or offer to buy or sell any securities or other financial instruments in this or in any other jurisdiction in which such solicitation or offer would be unlawful under the securities laws of such jurisdiction. All Content is information of a general nature and does not address the circumstances of any particular individual or entity. Opinions expressed are solely my own.