From Real Estate to Crypto Finance: The Trump Family's New Capital Experiment

比推Publicado a 2026-01-14Actualizado a 2026-01-14

Resumen

From real estate to crypto finance: The Trump family is pursuing a national trust bank charter rather than meme coins or NFTs, aiming to establish a permanent, transferable financial franchise. If approved by the OCC, their entity WLTC would gain direct access to the national payment system and a rare license for institutional crypto custody—a high-demand, regulated market. The strategy leverages political influence: crypto industry donations to Trump’s camp helped pass favorable legislation, while WLFI, with a 75% profit share for the family, benefits directly from these policies. This creates a closed loop of industry-funded policy advantages translating into private gains. WLTC’s potential approval could disrupt the crypto custody and stablecoin markets, challenging incumbents like USDT and USDC by offering integrated, compliant services. The move highlights a shift toward competition based on regulatory access and political influence rather than innovation, raising concerns about power-capital integration and systemic corruption risks.

Author: Nikka, WolfDAO

I. Banking License: The Precise Calculation of a Perpetual Charter

The Trump family chose to apply for a national trust bank license instead of issuing Meme coins or endorsing NFT projects. Behind this choice lies a profound logic of power. Meme coins are a one-time attention monetization, while stablecoin companies are merely ordinary commercial entities. However, a national trust bank is not a participant in the financial system—it is part of the financial system itself.

Once approved by the OCC, WLTC will have the right to directly access the national payment system, as well as the most critical—a rare license to provide crypto asset custody services for institutional clients. Custody services are a rigid demand for traditional financial institutions entering the crypto world, but the OCC has so far only approved a few pure crypto banks, such as Anchorage Digital. This is a highly scarce, high-demand market with extremely high regulatory barriers.

The deeper value lies in the permanence and transferability of the license. Political influence may fade after leaving office, but a federal bank license is a permanent institutional asset—it can be transferred, used as collateral for financing, and generate continuous rental income. The Trump family is not applying for a project but a financial franchise that can be passed down.

The timing is equally precise. The partial passage of the 2025 GENIUS Act and CLARITY Act provided a basis for stablecoins and custody services. This legislation itself carries a strong political background—a regulatory-friendly environment bought by the crypto industry's donations of tens of millions to hundreds of millions of dollars to the Trump camp. However, legislation only opens the door; the real competition lies in who passes the fastest. Although Circle and Ripple are stronger in terms of strength, they lack what WLFI possesses: a direct channel of political influence.

In this framework, the role of USD1 becomes clear—it is not the goal but a tool to obtain the license. The $3.3 billion market capitalization was built through Binance's 20% annualized returns and WLFI treasury subsidies. The existence of USD1 only needs to prove that WLFI has operational experience and cooperative channels, with surface data sufficient to meet "business feasibility" requirements. Once the license is obtained, whether USD1 continues to exist is no longer critical—WLTC can provide custody for any stablecoin, collecting "toll fees" throughout the entire crypto financial system.

II. The Perfect Closed Loop of Rent-Seeking

To understand the essence of WLFI, one must return to the wave of political donations in 2025. The crypto industry injected tens of millions to hundreds of millions of dollars into the Trump camp: $20 million from Crypto.com's parent company, millions from Gemini, Blockchain, and a16z founders. These donations bought a policy environment favorable to all crypto businesses—a typical public good.

However, the Trump family not only enjoyed this public good but also gained private benefits through WLFI: a 75% profit share, already reaping tens of billions of dollars. This created a perfect closed loop of interests: using the industry's money to buy policy tilts, using policy tilts to support their own business, and using business profits to continue influencing policy. Traditional political donations at least have a layer of separation between donors and beneficiaries, but the WLFI model is "industry donations → family profits," where policymakers are simultaneously direct beneficiaries.

What is even more ingenious is that this model is entirely legal in form. The Trump family profits by operating a "market-oriented" enterprise—with products, business, and clients. However, in reality, this enterprise's core competitiveness is not technology or products but the privilege of political connections and regulatory access.

The OCC's discretionary power is precisely the space for rent-seeking. Bank license applications are not binary decisions of approval/rejection but complex processes with countless discretionary points. What kind of capital structure is "adequate"? What kind of management experience is "qualified"? Each discretionary point provides room for political influence to exert itself. WLFI does not need the OCC to violate rules; it only needs "friendly" judgments on countless discretionary points—slightly looser requirements here, slightly flexible interpretations of standards there. Each individual judgment may seem reasonable, but cumulatively, they create significant differences.

III. Restructuring Competition in the Crypto Industry

WLFI's bank application is essentially competing for a large but scarce market—institutional-grade crypto custody services. Currently, the global institutional demand for crypto asset custody is conservatively estimated at over hundreds of billions of dollars, but there are only a handful of institutions with compliant custody qualifications. The OCC has only approved a few, such as Anchorage Digital. While Coinbase and Gemini provide custody services, they do not have federal bank status.

If WLTC is approved, the most direct impact will be the redivision of this blue ocean market. Traditional financial institutions—pension funds, sovereign wealth funds, family offices—when seeking crypto asset allocation, prioritize custody security and compliance over yield. A custody institution with a federal bank license and direct OCC supervision is fatally attractive to these institutional clients. This means that companies like Circle and Coinbase, already waiting in line for licenses, may watch helplessly as WLFI cuts in line with political advantages, seizing first-mover advantages.

From the perspective of the stablecoin competition landscape, WLTC's approval will break the duopoly of USDT and USDC. Although USD1 currently has a market capitalization of only $3.3 billion, the institutional红利 brought by the bank license could enable its expansion in the institutional market. The key is that WLTC can provide "one-stop services"—issuance, custody, and exchange all internalized, no longer relying on third parties. For institutional clients, this means fewer counterparty risks, simplified compliance processes, and lower operational costs. Tether and Circle must provide similar services through multiple partner banks and custodians, while WLTC, as a federal bank, can do it independently. This efficiency advantage is structural.

The most pragmatic observation is that WLFI is opening a new business path: not through technological innovation or market competition but through political resources and regulatory arbitrage to build competitive barriers. The success of this path will attract more capital and entrepreneurs to emulate it, forming a new business ecosystem centered on licenses and political connections as moats. In this ecosystem, the rule-makers and the biggest beneficiaries may be the same group, while true market competition gives way to power distribution and interest exchange.

Conclusion

The most profound revelation of this case is not about cryptocurrency but about power itself. It reveals how seamlessly power and capital can integrate in the digital age. The traditional revolving door at least has a time lag, but the WLFI model is real-time synchronization: formulating policies while operating a business, promoting regulation while applying for licenses. This increase in efficiency is also a multiplication of corruption risks.

Twitter:https://twitter.com/BitpushNewsCN

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

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

Original link:https://www.bitpush.news/articles/7602639

Preguntas relacionadas

QWhat type of banking license is the Trump family seeking for WLTC, and why is it strategically significant?

AThe Trump family is applying for a national trust bank charter. This is strategically significant because it is not just participation in the financial system but becomes part of the system itself. It grants direct access to the national payment system and, most crucially, the highly scarce license to provide crypto asset custody services for institutional clients. This charter is a permanent, transferable institutional asset that can generate rental income and be used for financing, unlike the temporary value of meme coins or NFT endorsements.

QHow does the article describe the relationship between political donations from the crypto industry and the regulatory environment that benefits WLFI?

AThe article describes a perfect closed loop of power rent-seeking. The industry donated tens to hundreds of millions of dollars to the Trump camp, which helped create a regulation-friendly environment through legislation like the GENIUS and CLARITY Acts. This favorable policy is a public good for the entire industry. However, the Trump family, as policy makers, also directly benefits privately through WLFI, which has a 75% profit share, earning them tens of billions of dollars. This creates a scenario where industry money buys policy, which supports their own company, whose profits are then used to further influence policy.

QWhat competitive advantage would a WLTC bank charter create in the institutional crypto custody market?

AA WLTC bank charter would provide a massive competitive advantage by allowing it to serve the huge, underserved market for institutional-grade crypto custody. As a federally chartered bank directly regulated by the OCC, it would be extremely attractive to conservative institutional clients like pension funds and sovereign wealth funds, for whom security and compliance are paramount. It could offer 'one-stop' services—issuance, custody, and exchange—all internalized, reducing counterparty risk and simplifying compliance compared to competitors like Coinbase or Circle that must rely on multiple partner banks and custodians.

QAccording to the article, what is the true purpose of the USD1 stablecoin in WLFI's strategy?

AThe true purpose of the USD1 stablecoin is not to be a primary product or to compete directly with major stablecoins, but to serve as a tool to help secure the national trust bank charter. Its $3.3 billion market cap, artificially propped up by high yields on Binance and subsidies from the WLFI treasury, is used to demonstrate 'business feasibility' and operational experience to regulators. Once the bank charter is obtained, the continued existence of USD1 becomes less critical, as WLTC could then provide custody services for any stablecoin and collect fees throughout the crypto financial system.

QHow does the WLFI model represent a new form of integration between power and capital in the digital age?

AThe WLFI model represents a new, highly efficient, and seamless integration of power and capital. Unlike traditional revolving doors between politics and business which have a time lag, the WLFI model operates in real-time: shaping policy while simultaneously operating a business, and pushing for friendly regulation while applying for licenses. This creates a situation where the rule-makers are also the direct beneficiaries, raising significant corruption risks as regulatory discretion at numerous points in the approval process can be influenced by political power rather than pure technical merit.

Lecturas Relacionadas

Injective software package hit by malicious supply chain attack – Details

In a software supply chain attack, malicious actors compromised the Injective Labs TypeScript SDK (@injectivelabs/sdk-ts v1.20.21) by uploading a tainted version to the npm registry. The attackers gained access to a legitimate contributor's GitHub account to distribute malicious commits. The compromised package, disguised as a routine update, contained malware that activated only when developers used specific wallet generation functions, stealing private keys and mnemonic seed phrases. This breach impacted approximately 50,000 weekly downloads and spread through transitive dependencies in 17 other Injective packages. While a clean version (v1.20.23) was later released, the malicious package remained accessible. Affected users are advised to rotate credentials, create new wallets, and move their funds.

ambcryptoHace 13 min(s)

Injective software package hit by malicious supply chain attack – Details

ambcryptoHace 13 min(s)

After Aave's Exit and TVL's Sharp Fluctuation, Where Does MegaETH's Valuation Anchor Lie?

Following the withdrawal of Aave and a sharp drop in its Total Value Locked (TVL), the valuation of the high-performance DeFi blockchain MegaETH faces scrutiny. Once a highly anticipated project with a fully diluted valuation (FDV) reaching around $2 billion, MegaETH saw its TVL plummet from a May peak of $245 million to just over $30 million in July, a roughly 70% decline. Its native token, MEGA, currently trades around $0.048 with a market cap of approximately $54 million and an FDV of about $480 million. The report identifies a core vulnerability: MegaETH's TVL was heavily dependent on a single protocol, Aave V3, which at its peak contributed around 90% of the chain's TVL. A significant portion of this capital is attributed to leveraged yield-farming strategies involving stablecoins like USDe. When the profitability of these strategies diminished, capital rapidly exited, exposing the lack of diversified, sustainable activity. Three key mismatches between MegaETH's valuation and its fundamentals are highlighted: 1. **Valuation vs. Real Usage:** With an FDV of ~$4.8B but only ~$1M in annualized protocol revenue and ~2,600 daily active addresses, the valuation appears disconnected from current economic activity. 2. **Token Narrative vs. Ecosystem Reality:** Despite its DeFi narrative, nearly 80% of the chain's recent protocol revenue comes from a trading card game, Monster, not from core DeFi applications like Aave. The chain's native stablecoin, USDM, also shows low trading volume and a declining market cap. 3. **Short-Term Hype vs. Long-Term Delivery:** Initial hype from token generation, blue-chip integrations, and influencer support has faded. Major protocols like Uniswap now hold minimal TVL on the chain, indicating that early capital was largely transient and driven by incentives rather than organic demand. The situation reflects a broader market trend where investors are becoming less tolerant of valuations based on inflated TVL and narrative, demanding clearer evidence of sustainable transactions, revenue, and ecosystem development. While MEGA's price may experience short-term rebounds from market sentiment, a fundamental re-rating likely depends on the team's ability to convert its remaining resources into tangible, user-retaining applications and genuine ecosystem growth.

链捕手Hace 32 min(s)

After Aave's Exit and TVL's Sharp Fluctuation, Where Does MegaETH's Valuation Anchor Lie?

链捕手Hace 32 min(s)

Goldman Sachs In-Depth Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry?

Goldman Sachs Report: China's AI Models at an Inflection Point China's open-source/open-weight large language models (LLMs) have reached performance parity with top global proprietary models, according to a Goldman Sachs report. This is driven by architectural innovations and higher parameter efficiency, allowing Chinese models to achieve comparable capabilities at 2%-10% the parameter size and significantly lower cost. The market is evolving into a two-tiered structure: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with premium pricing and a low-end, price-sensitive segment for global SMEs and individual users. Key points: * **Cost & Performance:** Innovations like Mixture of Experts (MoE) enable high performance with smaller models. Projects like Meituan's LongCat 2.0, trained on domestic hardware, highlight progress in tech self-sufficiency. * **Open-Source Strategy:** Most Chinese players use open-source/open-weight models for flexibility and ecosystem growth. However, Goldman notes this may underreport actual deployment and revenue. A shift toward "open-weight + community license" models with revenue sharing (e.g., MiniMax) could improve monetization. * **Market Shift & Global Expansion:** Enterprise AI adoption is shifting from "token maximization" to "ROI-first." International expansion, especially in non-US markets, is a major growth driver. Chinese models are increasingly available on global platforms like AWS Bedrock and Microsoft Copilot. * **Competitive Landscape:** Using a framework based on pricing power, cost advantage, and financial strength, Goldman identifies **Zhipu AI and DeepSeek** as the strongest in foundational text models, and **ByteDance** as the leader in multimodal/video generation. The report maintains Buy ratings on MiniMax and Kuaishou. * **Market Growth:** China's AI model API and subscription revenue is projected to grow from an estimated ¥35 billion in 2026 to ¥879 billion by 2030.

marsbitHace 51 min(s)

Goldman Sachs In-Depth Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry?

marsbitHace 51 min(s)

Goldman Sachs Deep Dive Report: Who Will Become the Long-Term Winners in China's AI Large Model Industry?

Goldman Sachs Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry? China's AI large model sector is at a historic inflection point. Goldman Sachs argues that the intelligence of Chinese open-source/open-weight models is approaching top global proprietary models. Rapid adoption by domestic enterprises and global SMEs is creating a data flywheel effect that will further drive model iteration. The evolution is summarized as moving from "DeepSeek's cost-efficiency moment last year to GLM's model-intelligence moment this year." Chinese models achieve near-state-of-the-art performance at significantly lower cost, primarily due to architectural innovations like Mixture of Experts (MoE) and higher parameter efficiency. Models like DeepSeek V4 Pro (1.6T params), GLM5.2 (0.7T), and MiniMax M3 (0.4T) are much smaller than global leaders. Recent advancements in coding capability are attributed to better data curation and RLHF. Landmarks like Meituan's LongCat 2.0, trained fully on domestic AI chips, demonstrate progress in hardware stack independence. The market is forming a "two-tiered structure." The high-end tier (e.g., GLM5.2, Alibaba's Qwen3.7 Max) prices around $1 per million tokens, about 10-25% of US top models, with estimated inference gross margins of 10-20%. The low-end tier (priced as low as $0.06-$0.2 per million tokens) targets price-sensitive global SMEs and individuals. MiniMax derives 60-70% of revenue overseas. Goldman forecasts China's AI model API/subscription revenue to grow from an estimated RMB 35bn in 2026 to RMB 879bn by 2030. Most Chinese players adopt open-source/open-weight strategies for deployment flexibility and community feedback, though this limits monetization as deployments on third-party platforms (e.g., Alibaba Cloud) may not generate direct revenue. A shift towards "open-weight + community license" models with revenue-sharing agreements (like MiniMax's approach) could improve unit economics. International expansion, particularly in non-US markets, is the key growth driver. The global enterprise AI paradigm is shifting from "token maximization" to "ROI prioritization." Chinese models are already hosted on major global platforms like AWS Bedrock and are under consideration for integration into Microsoft Copilot. Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman identifies the strongest players: In foundational text models, Zhipu AI (initiated coverage) and DeepSeek lead. In multimodal/video generation, ByteDance's Seed is the frontrunner, with Kuaishou's Kling and MiniMax's Hailuo also well-positioned. Goldman maintains a Buy rating on MiniMax, citing its attractive valuation.

链捕手Hace 56 min(s)

Goldman Sachs Deep Dive Report: Who Will Become the Long-Term Winners in China's AI Large Model Industry?

链捕手Hace 56 min(s)

Circle secures final OCC approval for national trust bank to strengthen USDC infrastructure

Circle has received final approval from the U.S. Office of the Comptroller of the Currency (OCC) to establish Circle National Trust, a federally regulated national trust bank. This marks a key regulatory milestone, bringing core parts of the company's USDC stablecoin infrastructure under direct federal oversight. The new bank will initially provide digital asset custody services for Circle and its affiliates, with a pathway to serve institutional clients and potentially manage the USDC reserve in the future. The approval advances Circle from the conditional stage it reached alongside other crypto firms in late 2025. This move reflects a broader trend of integrating crypto infrastructure into the existing U.S. banking framework through national trust charters, which specialize in custody and fiduciary services rather than traditional lending.

ambcryptoHace 1 hora(s)

Circle secures final OCC approval for national trust bank to strengthen USDC infrastructure

ambcryptoHace 1 hora(s)

Trading

Spot