For much of crypto’s history, the simplest way to invest in the growth of an ecosystem was to own the infrastructure beneath it.
If applications attracted users, the chain processed more transactions. If transaction demand increased, fees increased. If more economic activity settled on the network, the native asset was expected to capture some portion of that growth. This logic helped define several crypto cycles and supported enormous valuations across Layer 1 networks, Layer 2 systems, interoperability protocols, data infrastructure, and other components of the blockchain stack.
That relationship is becoming less straightforward.
One of the more revealing debates of 2026 began when Bankless co-founder David Hoffman sold the remainder of his ETH position. His argument was not that Ethereum had failed. In fact, he remained explicitly optimistic about Ethereum as a network. His concern was instead about value capture: Ethereum could continue becoming more useful, more secure, and more economically important without that success necessarily producing a proportional revaluation of ETH.
That distinction has become increasingly relevant over the past several months.
While major crypto assets spent much of the year struggling to establish a clear direction, a number of application-oriented assets began performing according to their own economics. Venice’s VVV, Hyperliquid, Pump, EtherFi and other projects increasingly attracted attention not simply because they belonged to a particular ecosystem, but because investors could point to users, revenue, fees, buybacks, or other mechanisms through which economic activity might accrue to the asset itself.
The market may be beginning to ask a different question.
Not simply: Which blockchain will win?
But: Where in the stack will the economic value ultimately accumulate?
The recent rise of Robinhood Chain makes that question much harder—and much more interesting.
From the Infrastructure Thesis to the Application Thesis
Austin Barack, a former CoinFund partner and the founder of Relayer Capital, recently described the change in unusually direct terms during a conversation with Hoffman.
For much of crypto’s history, he argued, execution infrastructure generated more than 95% of the industry’s revenue. Today, applications account for roughly two-thirds, while execution layers represent closer to one-third. His expectation is that this transition continues, potentially leaving applications responsible for more than 90% of crypto revenue over time.
The exact percentages will inevitably fluctuate, but the structural argument deserves attention.
Blockchains have spent years making execution cheaper.
Ethereum’s rollup roadmap is explicitly designed to expand blockspace. Alternative Layer 1s compete on throughput and cost. Layer 2 networks compress transactions further. Data availability becomes cheaper. Wallet infrastructure improves. Liquidity becomes portable.
These developments are excellent for users and applications.
They are less obviously positive for infrastructure margins.
This is a familiar pattern in technology. As infrastructure matures, it becomes standardized, increasingly interchangeable, and progressively cheaper. Value then tends to migrate toward the businesses that own distribution, users, workflows, proprietary information, or differentiated experiences.
Cloud computing did not eliminate infrastructure. It made infrastructure abundant enough for enormous application businesses to be built on top of it.
Crypto may now be entering a similar phase.
The chain remains essential. But being essential does not necessarily mean capturing most of the economics.
VVV, HYPE and the Emergence of Crypto Businesses
The recent interest in assets such as VVV is instructive.
Venice is fundamentally an AI application with a direct consumer relationship. Users purchase subscriptions and inference credits. Its token economics include programmatic mechanisms that direct part of that business activity toward VVV burns. Austin’s investment thesis therefore resembles an analysis of a technology business considerably more than the traditional crypto framework of measuring transactions, TVL, or ecosystem developers.
The same analytical shift appears in discussions around Hyperliquid, Pump and EtherFi.
Instead of asking primarily which ecosystem they belong to, investors increasingly ask questions that would be recognizable in conventional business analysis: How quickly is revenue growing? How durable is the customer base? What are the margins? Is revenue cyclical? How much economic value is returned to token holders? How much must be reinvested to sustain growth?
Austin described these assets as partially decoupling from the broader crypto market precisely because their underlying businesses were growing independently and returning measurable value to token holders.
That does not make these assets equivalent to equities. Token holders frequently lack the legal claims associated with shareholders, and value-accrual policies can change. Those differences remain substantial.
But the analytical direction is important.
Crypto is slowly moving from valuing infrastructure that might eventually host economic activity toward valuing applications that already have economic activity.
Robinhood Chain makes this transition particularly visible.
What Robinhood Chain’s Fee Surge Actually Tells Us
During the first week of September, Robinhood Chain became one of the most discussed networks in crypto.
On September 4, the network generated approximately $6 million in daily chain fees, its highest level to date. Fees across the preceding seven days reached roughly $25 million, compared with around $1.4 million during the prior week. DEX volume more than doubled to approximately $12.4 billion. At various points Robinhood Chain surpassed Ethereum, Base and other major networks in daily chain fees.
The obvious interpretation is that Robinhood Chain is rapidly taking market share.
But the underlying data suggests a more nuanced story.
The increase was overwhelmingly associated with Pons, a token launchpad that became the dominant application on the network. On September 3, Pons itself generated close to $6 million in fees, exceeding the daily fee generation of several much larger crypto applications. Meanwhile, average daily active accounts on Robinhood Chain actually declined during the week in which fees surged.
This distinction matters.
Robinhood Chain did not suddenly acquire seventeen times as many users.
Instead, the economic activity occurring through applications on the chain became dramatically more valuable.
That is almost a perfect illustration of the application thesis.
The chain is necessary to make the activity possible, yet much of the economic differentiation sits one layer above it.
Current DefiLlama data makes the separation even more visible. Robinhood Chain presently generates significant chain fees, but applications running on the network collectively generate substantially larger application fees.
The emerging question is therefore not simply whether Robinhood Chain can generate blockspace demand.
It is who owns the profitable activity creating that demand.
Is Robinhood Chain Eating Base?
The rapid increase in Robinhood Chain activity has naturally produced comparisons with Base.
The argument is understandable.
Both sit within the broader Ethereum scaling ecosystem. Both are associated with major consumer financial platforms. Coinbase built Base around one of crypto’s largest existing distribution channels; Robinhood arrives with a large brokerage user base and an increasingly aggressive strategy around tokenized equities, prediction markets, crypto trading and financial infrastructure.
If Robinhood can bring its users, assets and financial products onto its own chain, why should that activity happen on Base?
There is likely to be some competition.
Tokenized equities are an obvious example. Robinhood has a strong incentive to make Robinhood Chain the native environment for financial products it distributes. Coinbase has precisely the same incentive for Base.
But describing the situation as Robinhood “eating Base” is premature.
Base still processed approximately 10.5 million daily transactions in the latest Growthepie data, up nearly 28% week over week, and held approximately $4.9 billion in stablecoins. Robinhood Chain recorded roughly 9.6 million transactions and around $1 billion in stablecoins. Base’s transaction activity has therefore not collapsed alongside its relative decline in fee rankings.
This exposes a flaw in treating chain fees as a complete measure of ecosystem strength.
A low-fee chain can process enormous economic activity while intentionally capturing relatively little of it.
A high-fee period can also reflect temporary congestion or an unusually profitable speculative application rather than durable network dominance.
Fees measure extraction.
They do not necessarily measure distribution.
And distribution may be the more important strategic asset.
Robinhood and Base Are Not Really Chain Businesses
This leads to a different way of understanding the competition.
Coinbase’s greatest advantage is not Base’s blockspace.
It is Coinbase.
Robinhood Chain’s greatest advantage is not its consensus architecture.
It is Robinhood.
Both companies already have something that most blockchain ecosystems spent billions of dollars trying to manufacture: a direct relationship with financial users.
That relationship changes the economics of launching a blockchain.
A standalone Layer 1 needs to attract developers, applications, liquidity and eventually users. A financial application with millions of existing customers can reverse the process. It begins with distribution and builds infrastructure underneath it.
The chain becomes an extension of the application rather than the application being dependent on the chain.
This inversion may be one of the most important changes taking place in crypto.
The original model was:
Chain → Applications → Users
The emerging model can increasingly look like:
Distribution → Application → Chain
Robinhood does not need Robinhood Chain to become a destination that users consciously choose because of its technical architecture. It needs the chain to make Robinhood’s financial products more programmable, interoperable and efficient.
The user may eventually have no reason to know which execution environment is being used at all.
That is not necessarily bearish for blockchains.
It is bearish for the assumption that the chain must always capture the majority of the value created above it.
The Application Layer May Eventually Become the Agent Layer
We believe this transition becomes even more significant when AI Agents enter the financial stack.
Today’s application thesis assumes that users interact with applications directly.
They open Hyperliquid to trade.
They open Robinhood to invest.
They use a wallet to move assets.
They enter a lending application to borrow.
They visit an AI product to conduct research.
But Agentic Finance begins changing this relationship.
A financial Agent can potentially interact with several of these systems simultaneously. It can monitor markets, analyze information, compare opportunities, access liquidity, manage risk and execute through whichever financial venue best satisfies its mandate.
In that environment, even the application interface begins to become infrastructure.
The scarce layer moves upward again.
Consider what happens if a user no longer chooses between Robinhood Chain, Base, Ethereum, Hyperliquid or a prediction market before making an investment decision.
Instead, the user chooses a financial Agent.
The Agent determines which information matters, identifies an opportunity, selects the appropriate market, chooses the execution route and manages the resulting position within permissions established by the user.
The economic hierarchy then changes from:
Chain → Application → User
toward something closer to:
Infrastructure → Financial Applications → Agent → User
The Agent becomes the primary relationship through which the investor experiences the market.
This has profound implications for value capture.
If blockchains compete for applications today, they may eventually compete for Agent order flow.
If exchanges compete for traders today, they may eventually compete to become the preferred execution venue of financial Agents.
And if applications currently own customer relationships, Agents may begin owning the layer at which financial decisions themselves are made.
Distribution Is Becoming More Important Than Blockspace
This is why we do not view Robinhood Chain’s rise primarily as a threat to Base.
It is evidence of something broader.
Crypto is moving from a competition for blockspace toward a competition for financial distribution.
Robinhood has brokerage distribution.
Coinbase has crypto distribution.
Hyperliquid has trading distribution.
Venice has AI-user distribution.
Pump has speculative-asset distribution.
EtherFi is attempting to build a broader financial relationship through payments, borrowing, yield and tokenized assets.
The strongest products increasingly use blockchain infrastructure rather than asking users to care about blockchain infrastructure.
That is a healthier development for the industry.
It also means that the winners of the next cycle may look less like generalized infrastructure protocols and more like vertically integrated financial applications with clear users, identifiable revenue, and differentiated distribution.
Robinhood Chain may take some activity from Base.
It may also expand the market by introducing users and assets that would otherwise never have entered an onchain environment.
Both outcomes can happen simultaneously.
The more important shift is that neither Robinhood nor Coinbase necessarily needs to maximize chain fees to create enormous economic value. Their primary opportunity exists in the products, transactions, assets and user relationships that their chains enable.
The chain is becoming part of the cost structure of distribution.
It is no longer necessarily the product.
What This Means for Financial Intelligence
At Questflow, this leads us to a further conclusion.
If infrastructure becomes abundant and financial applications become increasingly interoperable, execution itself becomes less differentiated.
An AI Agent will eventually be able to trade on multiple venues, access tokenized assets, interact with lending markets and move capital between different financial environments.
The difficult problem will not be giving the Agent access.
It will be determining what intelligence governs its actions.
This is why we believe the application thesis will eventually evolve into a financial-intelligence thesis.
The most valuable financial Agents will not simply be wrappers around execution APIs. Their differentiation will come from the quality of the judgment they can operationalize: which information they monitor, how they interpret it, how they form and invalidate investment theses, how they size risk, and when they decide not to act.
Our view at Questflow is that this judgment does not need to originate from a generic AI model.
Great investors already possess it.
AI makes it possible to capture that judgment, structure it, monitor markets against it continuously, explain it to users, and eventually execute it across different financial venues.
In such a system, the underlying chain matters technically, but increasingly less from the user’s perspective.
The user’s relationship is with the intelligence.
The Next Crypto Premium
David Hoffman’s decision to sell ETH triggered debate because it challenged one of crypto’s longest-standing assumptions: that growth in a network should naturally produce proportional value for its native asset.
The recent performance of application-oriented tokens, Austin Barack’s application-revenue thesis, and Robinhood Chain’s sudden rise all point toward the same structural question.
Where does value ultimately settle when infrastructure becomes cheaper?
Our view is that there will not be one answer.
Money can capture value because it is money.
Infrastructure can capture value when blockspace or security is genuinely scarce.
Applications can capture value through distribution, revenue, network effects and proprietary user relationships.
And increasingly, financial Agents may capture value by owning the layer where judgment becomes action.
The mistake would be to interpret this transition as the end of blockchains.
It is closer to the opposite.
Blockchains may finally be becoming mature enough that users no longer need to think about them.
The infrastructure disappears into the product.
The product disappears into the Agent.
What remains visible is the outcome the user actually wanted in the first place.
For finance, that outcome was never blockspace.
It was better allocation of capital.
Robinhood Chain’s recent growth therefore matters less because it briefly topped a fee ranking and more because it demonstrates how quickly economic activity can migrate when distribution, applications and programmable financial infrastructure converge.
Base is unlikely to disappear. Robinhood Chain is unlikely to absorb the entire market. Ethereum can continue growing even while a greater share of economics accumulates above it.
The larger change is the hierarchy itself.
The infrastructure era rewarded ownership of the rails.
The application era rewards ownership of the user.
The Agentic era may reward ownership of the judgment.
We believe that final layer will become increasingly important as financial markets move onchain and AI becomes capable of operating across them.
Because when assets can move anywhere and execution can happen anywhere, the most valuable question is no longer where the transaction settles.
It is who—or what—decides that the transaction should happen at all.