Blockchain Capital Partner: Most People Have a Narrow Understanding of the On-Chain Economy

marsbitPublicado em 2026-05-18Última atualização em 2026-05-18

Resumo

Blockchain Capital Partner Spencer Bogart argues that the dominant view of on-chain economics as merely a faster, cheaper version of existing finance is narrow. While significant, applications like efficient settlements and tokenized assets represent only the initial, obvious phase—akin to email in the early internet. The larger opportunity lies in entirely new categories made possible by the foundational properties of public blockchains: atomic execution, shared global state, programmable assets, and composability. These enable actions that were structurally impossible before, which Bogart terms "new verbs." The prime example is the flash loan—uncollateralized, arbitrarily large loans guaranteed by atomic transaction rollback—a financial primitive inconceivable in traditional systems. Bogart acknowledges the limits of imagination in predicting these novel applications, as they lack precedent. The most transformative future uses will likely be those we cannot yet describe, emerging from the fusion of settlement, custody, and execution into a single programmable environment. Just as the internet spawned search, social networks, and SaaS beyond email, the vast, largely unexplored design space of on-chain economics holds the potential for orders-of-magnitude greater innovation in the coming decade.

Author: Spencer Bogart, General Partner at Blockchain Capital

Compiled by: Hu Tao, ChainCatcher

When most people look at on-chain technology, they see a faster, more efficient version of existing technology: faster payments, lower settlement costs, more efficient capital markets. They are not wrong. This alone contains enormous opportunities and will spawn numerous venture-scale outcomes over the next decade.

But I believe this is the smaller part of the story.

When I look at this technology, at the possibilities enabled by programmable assets in a global, composable, always-on environment, I think we have only explored the tip of the iceberg. The most amazing things have not yet been built. And the reason they haven't been built is not that the technology isn't ready, but that we haven't yet conceived of them.

The Email Trap

In the early days of the internet, the most obvious use case was communication. Email was faster and cheaper than letters. Email was a big deal, but it wasn't about making the post office run faster. It was its own thing and spread quickly. So if you were assessing the internet in 1995, seeing the widespread adoption of email, you could reasonably conclude that the thesis had been proven.

But most of the opportunity hadn't even germinated yet. Search, social networks, e-commerce, cloud computing, software-as-a-service (SaaS), streaming – none of these were 'faster versions of existing things.' They were entirely new categories, impossible to conceive of before the internet created the conditions for them. Google was not a faster library, Facebook was not a faster phone book, AWS was not a faster server room. They only made sense in the context of a globally connected, programmable network.

Collectively, these new categories are orders of magnitude larger than the 'faster communication' use case.

I believe crypto is now in its booming era. Most of the focus is on making existing financial products run better on-chain – things like faster settlement, cheaper cross-border payments, tokenized treasuries and stocks, and more efficient lending markets. And it's working: by 2025, stablecoin settlement will reach $33 trillion, and the market cap of tokenized treasuries recently surpassed $150 billion. The world's largest asset managers and banks are building on public chains.

This is great. I'm excited about all of it. I'm working on it every day. But this is the most obvious application – it fits perfectly into our existing mental models, and its scale is large enough to trick us into thinking this is the entirety of the opportunity.

The question I'm more interested in is: what becomes possible only when you have programmable resources in a global, composable, always-on, permissionless environment? What are the new verbs, the not-yet-named categories?

What New Verbs Look Like

We have at least one clear example, worth examining closely because it illustrates what I think we'll see frequently.

What would you say about a system where you can borrow a billion dollars with no collateral, and the lender has mathematical certainty of repayment?

That's a flash loan: borrow any amount of money with zero collateral, provided you repay it in the same transaction. If you fail to repay, the entire transaction is automatically reversed as if it never happened. The lender has zero risk. No credit check. No relationship required. No collateral. It works solely on the logic of the system providing the guarantee.

Before flash loans existed, nobody needed them. Why? The concept was completely alien to traditional financial systems. It would have been useless even before programmable assets existed, so there was no existing category to improve upon. Uncollareralized, infinite-size, guaranteed-repayment loans are impossible in any system where trades take time. They only become possible when execution is atomic, assets are programmable, and the entire sequence of operations either completes entirely or not at all.

Once atomicity made it feasible, flash loans became a standard tool in the on-chain economy for arbitrage, liquidations, collateral swaps, and capital-efficiency strategies that are impossible in traditional payment systems. Of course, any powerful new technology will inevitably be used for malicious purposes, which only underscores the novelty of its underlying mechanism.

Flash loans didn't make lending faster or cheaper. They created a way to lend that was structurally impossible before programmable assets and atomic execution. This is what I mean by 'new verbs' or 'new actions.' The system can now do things it couldn't do before, not because someone found an optimization, but because the fundamentals changed.

The Limits of Imagination

But I have to be honest about the limits of my own imagination.

I can describe the design space in abstract terms. Public blockchains introduce a set of primitives that didn't exist before: atomic execution, shared global state, programmable custody, deterministic settlement, composability across independent actors, and software assets. We've never had a financial system where settlement, custody, clearing, and execution are all bundled into the same programmable environment. When previously separate layers merge into one, new things become possible.

But I can't tell you what those things are. And I think that's precisely the point.

Human imagination works backward. We are very good at improving on things that already exist, but we're not very good at conceiving of things that were impossible yesterday. We look at on-chain technology and instinctively ask: which existing products can it make faster and cheaper? The harder and more valuable question is: what can it create that didn't exist before?

I have some hunches. Programmable custody systems that enforce complex agreements without intermediaries. Capital that can be delegated to software agents operating within bounded parameters. Financial structures that can be assembled and dissolved in real time based on conditions verified on-chain. These directions feel right. But the most important applications might be ones I can't describe yet because they look nothing like anything I've seen before.

My inability to list them is precisely the strongest argument for this thesis: if I could easily list all the new things, they wouldn't be genuinely new. The design space is vast, mostly unexplored, and impossible to sketch with intuition alone. That's the point.

So most attempts in this space will fail. A broad design space doesn't mean outcomes are easy. But the opportunity in the ones that work is enormous, and we've been building pattern recognition for thirteen years to identify them before they become obvious. It's this opportunity that makes me excited about the next decade.

Most of the opportunity is still ahead.

If the internet analogy holds, the on-chain equivalents of search, social, cloud computing, and SaaS haven't been built yet. Email was a trillion-dollar industry, and everything that came after was orders of magnitude more valuable.

I think when we look back ten years from now, the things that will excite us most are the things that don't exist today. It won't just be about making banks, exchanges, or asset managers more efficient. It will be about things that are only possible when you have programmable assets in a composable, global, 24/7 environment. Things that seem obvious in hindsight, but we can't see today because they have no precedent.

Flash loans give us a glimpse, but it's just the tip of the iceberg. The design space is vast, and we're only just beginning to explore.

Perguntas relacionadas

QWhat does the author mean by most people having a 'narrow understanding' of the on-chain economy?

AThe author means that most people view on-chain (blockchain) technology merely as a faster and more efficient version of existing systems, like for payments or settlement. They fail to see its potential to enable entirely new categories of applications and economic interactions that were structurally impossible before, much like how the internet enabled search, social media, and cloud computing rather than just 'faster mail.'

QWhat is the 'email trap' analogy used to illustrate?

AThe 'email trap' analogy illustrates the common mistake of seeing a new technology's first successful application (like email for the internet) as the full scope of its potential. Just as the internet's biggest opportunities later came from entirely new categories (search, social, SaaS), the biggest potential of blockchain lies not in making existing finance faster, but in creating wholly new financial verbs and asset classes.

QAccording to the article, what is a 'new verb' enabled by blockchain, and why is it significant?

AA 'new verb' exemplified in the article is the 'flash loan.' It is significant because it represents an action—borrowing unlimited funds with zero collateral, guaranteed by atomic settlement—that was structurally impossible in traditional finance. It didn't make an existing process faster; it created a fundamentally new capability due to the properties of atomic execution and programmable assets on a global, composable ledger.

QWhat core properties of public blockchains does the author highlight as creating this new design space?

AThe author highlights properties like atomic execution, shared global state, programmable custody, deterministic settlement, composability across independent actors, and software-native assets. The fusion of settlement, custody, and execution into a single programmable environment enables new possibilities that didn't exist when these layers were separate.

QWhy does the author believe the most important future applications are currently indescribable?

AThe author believes human imagination is backward-looking; we are good at improving existing things but poor at conceiving what was previously impossible. The most important future applications will be so novel and distinct from anything we know today that they lack a current reference point or name. The fact that we can't easily list them is a sign of the vast, unexplored design space, analogous to being unable to describe Google or Facebook before the internet created the conditions for them.

Leituras Relacionadas

WSJ: Unveiling the Secret Jury That Controls Disputes on Polymarket

Last month, Garrick Wilhelm lost a $567 bet on the Polymarket prediction platform about whether a ceasefire would be reached with Hezbollah. When a truce was announced, some traders argued it counted, but Wilhelm disagreed. The dispute was settled not by Polymarket, but by a decentralized group of UMA token holders who vote on such disagreements. As trading surges, resolving ambiguous outcomes is a growing challenge for prediction markets. Unlike competitors like Kalshi that decide internally, Polymarket outsources dispute resolution to UMA. Its token holders, mostly anonymous and with voting power weighted by holdings, arbitrate cases. Critics argue this system is prone to manipulation, as voters can also bet on the same markets they judge. A Wall Street Journal analysis found that over the past year, at least 60% of active UMA voters had corresponding Polymarket accounts and held positions in disputes they voted on. Voting power is also concentrated among a few large holders. Polymarket says only 0.2% of bets go to UMA and that the system disperses authority. Its founder has acknowledged flaws and promised fixes. UMA's backers deny any proven manipulation, dismissing critics as sore losers. The platform penalizes voters in the minority to incentivize "correct" outcomes. Disputes are rising, covering topics from a streamer's pregnancy announcement to Iran. This model also helps Polymarket argue it's an offshore platform outside U.S. regulation, a shift made after a 2022 settlement with the CFTC. Some losing traders have formed groups to protest, targeting entities like UMA.rocks, which aggregates votes. Its founder says traders often blame UMA for their own mistakes. A recently ousted committee member, Scout, admitted to both betting and voting but argued involved voters research more thoroughly. He highlighted the dilemma: "Either you have conflicted traders deciding, or you have uninformed outsiders voting. There is no perfect answer right now."

marsbitHá 39m

WSJ: Unveiling the Secret Jury That Controls Disputes on Polymarket

marsbitHá 39m

China's AI Circle Has Just Established a Pecking Order, and Capital Is Already Changing the Rules Again

The article describes how the valuation logic for major Chinese AI model companies has undergone three dramatic shifts between 2022 and 2026, driven by capital's changing priorities. The first phase (around 2022) was **technology-driven valuation**, where funding was based on model performance and benchmark scores. This logic was disrupted when DeepSeek's R1 model demonstrated that comparable capabilities could be achieved at a fraction of the cost, challenging the notion of technical superiority as an unassailable moat. The second phase shifted to **IPO window-driven valuation**. Following favorable listing conditions in Hong Kong, capital flowed to companies like Zhipu and MiniMax with the clearest path to a public listing. However, this focus on liquidity over fundamentals became apparent as their Annual Recurring Revenue (ARR) lagged far behind international peers like Anthropic. The third and current phase is **national strategy-driven valuation**. This shift was marked by the state-backed "Big Fund" leading a major investment in DeepSeek, signaling that leading domestic AI models are now viewed as strategic national assets comparable to semiconductor manufacturing. This new logic, combined with soaring US valuation benchmarks (e.g., OpenAI at $850B), propelled the combined valuation of China's top AI firms ("The Four Dragons"/"Five Strong") past 1 trillion RMB. The article presents a "pricing leap model": each shift is triggered by a key event that invalidates the old logic, leading to rapid capital reallocation under a new narrative before its flaws (particularly the gap in fundamental ARR metrics) become evident. It concludes that the next major test for these valuations will be a return to scrutinizing core business fundamentals, specifically ARR growth, suggesting a fourth pricing shift is imminent.

marsbitHá 1h

China's AI Circle Has Just Established a Pecking Order, and Capital Is Already Changing the Rules Again

marsbitHá 1h

'Stock God' Trump's 3,642 Trades Disclosed: The 'Perfect Closed Loop' of Policy and Portfolio

Summary: Donald Trump's First Quarter stock trades, totaling 3,642 transactions, have been disclosed. While the White House maintains the trades were managed by an advisor and complied with disclosure laws, they reveal a portfolio heavily aligned with his policy agenda. The trades show a rotation away from major tech stocks like Microsoft, Amazon, and Meta, and into semiconductor and AI hardware companies such as NVIDIA, AMD, Broadcom, Dell, and Intel. Notably, Trump's account purchased Dell stock before he publicly praised the company, after which its stock rose. The Dell family also pledged funds to a Trump-affiliated policy project. A critical case is Intel. The Trump administration converted $8.9 billion in CHIPS Act subsidies into a 9.9% equity stake, making the U.S. government Intel's largest shareholder. Months later, Trump's personal account also bought Intel stock. This intertwines national industrial policy with potential personal financial interest. Unlike typical insider trading concerns, this situation creates a "closed loop": policy decisions (e.g., subsidies, tariffs, crypto regulation) can boost the value of his holdings, and those holdings may, in turn, influence future policy directions. This blending of presidential power and personal portfolio, while legally disclosed, raises profound questions about conflicts of interest that current rules do not address.

marsbitHá 1h

'Stock God' Trump's 3,642 Trades Disclosed: The 'Perfect Closed Loop' of Policy and Portfolio

marsbitHá 1h

Dialogue with Figure Robotics Founder: Behind the $39 Billion Valuation Lies Ambition to Mass-Produce Millions of Units

Title: Figure's Founder on the $39B Valuation and the Ambition to Mass Produce a Million Humanoid Robots In a Sourcery podcast interview, Figure founder and CEO Brett Adcock discusses the rapid rise of his humanoid robotics company. With a valuation that surged 15x in 18 months to $39 billion, Figure aims to create general-purpose humanoid robots for work in factories and homes. Adcock states that the company's primary goal is to make robots that perform real, paid work autonomously. He shares Figure's aggressive scaling plan: producing thousands of robots this year, with an ultimate ambition to reach one million units annually. Adcock explains Figure's vertically integrated strategy, designing its own motors, sensors, and joints to control its supply chain and destiny. He details the challenges, including achieving long-term, reliable, end-to-end autonomous operation—a feat no one has yet accomplished. The biggest risk is executing this complex vision at scale, but Adcock believes the potential market is enormous, representing a significant portion of global GDP. The interview also covers his departure from OpenAI, citing that Figure's internal AI team eventually surpassed OpenAI's capabilities for robotics applications. Adcock concludes by highlighting his focus for the year: large-scale commercial deployment of robots and advancing toward a "general robot" capable of any human task, potentially seeing the first signs of AGI (Artificial General Intelligence) in the physical world at Figure.

marsbitHá 1h

Dialogue with Figure Robotics Founder: Behind the $39 Billion Valuation Lies Ambition to Mass-Produce Millions of Units

marsbitHá 1h

Trading

Spot
Futuros

Artigos em Destaque

Como comprar PEOPLE

Bem-vindo à HTX.com!Tornámos a compra de ConstitutionDAO (PEOPLE) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar ConstitutionDAO (PEOPLE) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu ConstitutionDAO (PEOPLE)Depois de comprar o teu ConstitutionDAO (PEOPLE), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona ConstitutionDAO (PEOPLE)Transaciona facilmente ConstitutionDAO (PEOPLE) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

482 Visualizações TotaisPublicado em {updateTime}Atualizado em 2025.03.21

Como comprar PEOPLE

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de PEOPLE (PEOPLE) são apresentadas abaixo.

活动图片