Web3's Failed Assumption: Ultimately Just Another Expansion of Wall Street's Balance Sheet

比推Опубликовано 2026-01-09Обновлено 2026-01-09

Введение

The article argues that the core assumption of Web3—that it would revolutionize finance by moving traditional assets on-chain—is failing. Instead, a one-sided absorption is occurring: Traditional Finance (TradFi) is successfully expanding into crypto, while the reverse movement of crypto into traditional assets is struggling. The pivotal moment was November 10, 2023, when CME's Bitcoin futures open interest surpassed Binance's, signaling a major shift. This is because TradFi giants like CME or BlackRock can launch crypto products with near-zero marginal cost, leveraging their existing regulatory licenses, mature risk models, and institutional networks. Conversely, crypto-native platforms face an insurmountable "compliance cost" barrier when trying to tokenize real-world assets (RWA), such as stocks. The stringent regulatory requirements for securities trading make it a prohibitively expensive endeavor. The author concludes that true liquidity comes from large, regulated institutional capital (pension funds, etc.), which prioritizes security and compliance. Products like Bitcoin ETF provide this, allowing traditional capital to enter easily. Therefore, crypto is being stripped of its ideological attributes and is becoming a pure, volatile financial asset class within the traditional system. The financial upper layers of trading and derivatives will likely remain dominated by TradFi, with Web3's role reduced to the base layer of asset generation and settlement.

Author: Max.s

Original Title: The Devoured Middle Ground: Could Web3's Endgame Be Just Another Table at Wall Street's Casino


For a long time, many natives of the crypto world have been intoxicated by a grand narrative: Web3 will launch a revolution against Web2. By moving Nasdaq stocks onto the blockchain and replacing the NYSE's matching engine with smart contracts, they believed they could ultimately reshape global finance with RWA (Real World Assets).

Watching the constantly flickering K-line charts, we need to remember this date when looking back: November 10, 2023. On this day, due to strong market expectations for the approval of the first spot cryptocurrency ETF, institutional funds massively entered through compliant channels, causing a surge in open interest on CME and surpassing Binance.

CME data that day: Open interest reached approximately 111,100 BTC, with a notional value of about $4.08 billion (accounting for roughly 24.7% of the total network open interest at the time).

Binance data: Open interest was approximately 103,800 BTC, with a notional value of about $3.8 billion.

We must face a harsh reality: This will be a one-sided devouring!

Look at the chart below

Process 1 in the chart represents the expansion of traditional finance (TradFi) into the crypto field, such as CME launching futures and BlackRock introducing ETFs. Process 2 represents the penetration of crypto finance into traditional assets, such as tokenized US stocks and RWA.

The current market's answer is clear: Process 1 is advancing triumphantly, while Process 2 is struggling painfully. The core of this difference lies not in technology, but in a "compliance cost"-induced dimensional reduction strike on liquidity.

Why can Wall Street giants easily cut into the heart of the crypto circle, while we find it difficult to attack their城池 (strongholds)?

Marginal cost in economics can explain everything.

For CME, CBOE (Chicago Board Options Exchange), EUREX (Eurex Exchange), or SGX (Singapore Exchange), the marginal cost of listing Bitcoin derivatives is almost zero.

These financial behemoths possess clearing licenses that have been operational for decades, extremely mature risk control models, and dedicated network lines connecting to the world's top hedge funds. For them, Bitcoin is just another ticker code after gold, crude oil, and soybeans. They don't need to rewrite underlying code, rehire compliance teams, or even re-educate clients. They just need to file a submission with the CFTC (Commodity Futures Trading Commission), tweak some parameters, and a new, compliant market capable of carrying trillions in liquidity is born.

In contrast, look at Process 2. When crypto exchanges attempt to "tokenize US stocks," they face an insurmountable chasm.

Remember FTX's once-proud equity tokens? That was not only one of the fuses for its downfall but also an original sin in the eyes of regulators. For a crypto-native platform to compliantly allow users to buy Tesla stock with USDT, it needs to obtain securities broker licenses, clearing licenses, resolve cross-jurisdictional securities law conflicts, and implement extremely complex KYC/AML processes. The compliance cost here is not linear; it's exponential.

For crypto-native enterprises, this is a war that was over before it even began. Traditional finance is not only inherently compliant; they *are* the rule-makers.

Why is compliance cost so important? Because compliance directly determines safety, and safety determines the entry threshold for capital.

Retail investors in the crypto market often misunderstand the source of "liquidity." True liquidity doesn't come from the few thousand U in a retail investor's hand; it comes from pension funds, endowment funds, sovereign wealth funds, and large market makers.

These behemoths face extremely strict Fiduciary Duty. This explains why the approval of Bitcoin spot ETFs in 2024 became a historic turning point.

Before ETFs, a traditional family office wanting to allocate Bitcoin had to go through incredibly complex approvals: Who manages the private keys? What if the exchange blows up? How is auditing handled? ETFs and CME futures perfectly solve this problem: no need to manage private keys, no need to trust offshore exchanges, everything is done within a US stock account.

The record-high open interest in CME's Bitcoin futures is not driven by retail speculation, but by Wall Street institutions engaging in basis arbitrage and risk hedging. Top high-frequency trading firms like Jump Trading and Jane Street have lower latency in CME's server rooms than on AWS.

As CBOE plans to re-enter the crypto derivatives market, and as SGX and EUREX begin laying out compliant derivative channels in Asia and Europe, we see a clear trend: the pricing power of crypto assets is shifting from offshore, unregulated exchanges (like the early BitMEX, or some current offshore CEXs) to regulated traditional financial exchanges.

Just as crude oil futures don't require the owner to physically move crude oil, future crypto finance won't require investors to actually use decentralized wallets.

In this process, cryptocurrency itself is stripped of its "currency" payment attributes, stripped of its "anti-censorship" ideology, and refined into a pure, highly volatile financial instrument. It is packed into ETF capsules, bundled into futures contracts, and stuffed into traditional 60/40 asset allocation portfolios.

The conclusion seems inevitable: Web3 finance (especially the secondary market trading part) will most likely be integrated into Web2 finance, becoming a trading category within traditional finance.

This might sound unpleasant to crypto purists, but it is precisely a sign of an asset's maturity.

The future landscape might look like this: the underlying blockchain technology (Web3) will still be responsible for asset generation and title verification, like BTC mining. But in the vast financial superstructure of trading, clearing, and derivatives, the Web2 giants, with their low-cost compliance advantages, will still occupy the main seats at the table.

For investors, seeing this clearly is crucial. Where the liquidity is, the Alpha is. And right now, liquidity is irreversibly flowing back to those in suits.


Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion Group:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7601254

Связанные с этим вопросы

QWhat was the key event on November 10, 2023, that signaled a shift in the crypto market's institutional participation?

AOn November 10, 2023, the open interest on CME for Bitcoin futures surged and surpassed that of Binance, driven by strong market expectations for the approval of the first spot cryptocurrency ETF. This indicated a massive influx of institutional capital through compliant channels.

QAccording to the article, what is the fundamental reason for the disparity between TradFi's expansion into crypto (Process 1) and crypto's attempt to penetrate traditional finance (Process 2)?

AThe core reason is 'compliance cost,' which creates a dimensional reduction in liquidity. Traditional financial institutions have near-zero marginal costs to offer crypto products due to existing licenses, risk models, and infrastructure, while crypto-native platforms face exponentially high, often insurmountable, compliance costs to offer traditional assets like tokenized stocks.

QWhy is the approval of Bitcoin spot ETFs considered a historic turning point for institutional investment in crypto?

ABitcoin spot ETFs solved the major compliance and security hurdles for large institutional investors like pension funds and family offices. They no longer need to manage private keys or trust offshore exchanges; they can simply allocate to Bitcoin within their existing, familiar stock brokerage accounts, fulfilling their fiduciary duties.

QWhat is the article's predicted final outcome for Web3 finance, particularly the secondary market trading sector?

AThe article concludes that Web3 finance, especially secondary market trading, will most likely be absorbed into Web2 finance. Crypto assets will become just another trading category within the traditional financial system, stripped of their ideological 'anti-censorship' and 'currency' properties and refined into pure, volatile financial instruments.

QHow does the article describe the shifting landscape of pricing power for crypto assets?

AThe pricing power for crypto assets is shifting from offshore, less-regulated exchanges (like the early BitMEX or current offshore CEXs) to regulated, traditional financial exchanges (like CME, CBOE, SGX, and EUREX) that are capturing the liquidity from large, compliant institutional capital.

Похожее

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit1 ч. назад

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit1 ч. назад

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit1 ч. назад

Token Inefficient, Economy Tokenless

marsbit1 ч. назад

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

In 2026, a historic shift occurred in AI as major cloud providers' inference spending surpassed training spending for the first time, signaling a move from "building large models" to "using large models." This shifts the core challenge from computing power to the "memory wall"—the bottleneck of data movement (model weights, activations, KV Cache) between external DRAM and processors, where energy and latency from data transfer far exceed computation itself. Companies like Nvidia face GPU idle time due to bandwidth limits. In contrast, Cerebras Systems adopts a radical "wafer-scale" approach with its Wafer-Scale Engine (WSE). Instead of cutting a silicon wafer into many chips, Cerebras uses almost the entire wafer as one massive chip (WSE-3). This design provides 44GB of on-chip SRAM, delivering memory bandwidth thousands of times higher than traditional HBM (e.g., 21 PB/s vs. Nvidia B200). For LLM inference, weights are streamed layer-by-layer from external MemoryX storage to the chip, avoiding HBM bottlenecks. This results in token generation speeds 1.5–5 times faster than Nvidia's B200 in some models and significant advantages in first-token latency and long-context tasks. Additionally, Cerebras's architecture offers much lower interconnect power consumption (0.15 pJ/bit vs. GPU's ~10 pJ/bit). However, Cerebras faces challenges: SRAM scaling has slowed with advanced nodes, limiting future capacity gains; the chip requires specialized liquid cooling and custom software stacks; and its external I/O bandwidth (150 GB/s) is low compared to NVLink, hindering multi-system scaling for very large models. Competition is intensifying. Major players are pursuing three paths: 1) Developing proprietary inference ASICs (e.g., Google TPU, Microsoft Maia), 2) Leveraging advanced packaging (e.g., TSMC's SoW) to democratize wafer-scale-like integration, potentially eroding Cerebras's process advantage within a few years, and 3) Exploring optical interconnects for ultimate bandwidth. Commercially, Cerebras is transitioning from a hardware vendor to a service provider, facing the immense challenge of building high-power, specialized data centers to meet large contracts (e.g., 250MW/year from 2026–2028). In conclusion, the AI inference era presents a fundamental architectural trade-off. Cerebras opts for extreme physical optimization for low-latency, single-task performance, while Nvidia prioritizes versatility and massive cluster throughput. The path forward remains uncertain, with technology and business models still evolving in the race toward advanced AI.

marsbit1 ч. назад

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

marsbit1 ч. назад

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

**Title: Has Bitcoin's Rebound Ended, Entering the Late Bear Market Phase?** **Summary:** Bitcoin's price has declined by 13% this week, signaling a potential return to late-stage bear market conditions. The price fell to around $67k, positioned between the Realized Price and Realized Cap Weighted Average. For the first time since early 2022, the Short-Term Holder cost basis has dropped below this key average, confirming a hallmark of late-cycle bear markets. Profitability metrics have collapsed sharply. The 7-day average of the Realized Profit/Loss ratio plummeted from a local high of 3.16 to 0.29, mirroring the February panic sell-off. Critically, the 90-day average never breached the threshold of 2, indicating the recent rally to $82k was a bear market bounce, not a structural shift. Realized losses surged to $1.35 billion daily, with $770 million coming from Long-Term Holders selling at a loss. This accelerating redistribution of supply from weak to strong hands is a necessary but ongoing process for a market bottom. The rally stalled almost precisely at the aggregate cost basis (~$83k) of US spot Bitcoin ETF investors, turning that level into strong resistance and leaving the average ETF holder underwater again. Spot market flows have turned decisively negative, showing sellers are dominating order books despite the price drop. While a significant futures long liquidation event cleared over $400 million in leverage, providing a potential reset, sustained spot demand is yet to materialize. Options markets continue to price in higher future volatility (Implied Volatility) than recent price action (Realized Volatility) has shown, with a persistent skew towards put options, indicating ongoing demand for downside protection. In conclusion, multiple metrics point to a fragile market structure. Resistance at the ETF cost basis, accelerating realized losses, dominant spot selling, and cautious options pricing all suggest the bear market trend persists. A sustainable recovery likely requires a resurgence of spot demand, ETF holders returning to profit, and a clear reduction in selling pressure.

marsbit1 ч. назад

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

marsbit1 ч. назад

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

In today's TechFlow Intelligence Briefing, several major tech stories highlight a growing theme of trust and credibility gaps across AI, crypto, and finance. AI company Anthropic has publicly called for a global pause in AI development, citing risks from Claude's "recursive self-improvement." Ironically, this coincides with reports the company is preparing for a massive IPO targeting a near $1 trillion valuation. This perceived hypocrisy, coupled with widespread user complaints about Claude's declining performance, is sparking debate over whether the safety warning is genuine or a competitive tactic. Meanwhile, in a substantive security move, Anthropic open-sourced a framework for AI-powered vulnerability discovery. In the crypto market, Bitcoin's price drop below $61,000 triggered over $1.16 billion in liquidations, flipping the market into a state where more BTC is held at a loss than at a profit, a historical bearish signal. On the corporate front, SpaceX's highly anticipated IPO is generating immense Wall Street excitement, with Goldman Sachs projecting 100x revenue growth by 2030. However, the S&P 500 has refused to fast-track the company's inclusion post-IPO, potentially limiting immediate institutional demand. Separately, ByteDance's AI app Doubao lost over 6 million monthly active users after introducing a subscription model, highlighting the challenges of AI monetization. Other notable developments include Nvidia certifying HBM4 memory from Samsung, SK Hynix, and Micron; Cloudflare's acquisition of front-end tooling company VoidZero; and its CEO warning that bot traffic now exceeds human traffic online. The underlying narrative connects these events: a trust crisis. From AI firms' contradictory actions and crypto volatility to the clash between SpaceX's hyped narrative and institutional rules, a pattern is emerging where stated intentions and actual practices are increasingly misaligned.

marsbit1 ч. назад

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

marsbit1 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить S

Добро пожаловать на HTX.com! Мы сделали приобретение Sonic (S) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Sonic (S).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Sonic (S)После приобретения вами Sonic (S) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Sonic (S)С легкостью торгуйте Sonic (S) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

1.4k просмотров всегоОпубликовано 2025.01.15Обновлено 2026.06.02

Как купить S

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

Он решает проблемы масштабируемости, совместимости между блокчейнами и стимулов для разработчиков с помощью технологических инноваций.

2.3k просмотров всегоОпубликовано 2025.04.09Обновлено 2025.04.09

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

HTX Learn — ваш проводник в мир перспективных проектов, и мы запускаем специальное мероприятие "Учитесь и Зарабатывайте", посвящённое этим проектам. Наше новое направление .

1.8k просмотров всегоОпубликовано 2025.04.10Обновлено 2025.04.10

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на S (S) представлены ниже.

活动图片