Cardano Founder Says This Midnight Deal Could Bring Billions In TVL

bitcoinistPublicado em 2026-03-26Última atualização em 2026-03-26

Resumo

Cardano founder Charles Hoskinson announced a major partnership between the privacy-focused blockchain Midnight and UK-based Monument Bank, which plans to tokenize up to £250 million in retail deposits. This initial phase could expand into billions in Total Value Locked (TVL) as Monument aims to later offer tokenized investment products and Lombard-style lending. The deal is positioned as a breakthrough for regulated finance on public blockchains, using Midnight’s privacy features to balance transparency with banking confidentiality while operating within existing regulatory frameworks.

Cardano founder Charles Hoskinson says Midnight’s new partnership with Monument Bank could become one of the biggest commercial wins yet for the privacy-focused network, after the UK lender unveiled plans to put retail customer deposits on a public blockchain. In a post on X, the Cardano founder wrote:

“This is one of the largest deals we’ve ever done and could bring hundreds of millions to billions of TVL to the Midnight ecosystem. I’m extremely proud of Fahmi Syed and his team at the Midnight Foundation for the hard work they put into the negotiations with Monument. Midnight is the home of Web 2.5 ventures.”

Why The Cardano So Enthusiastic

Monument, a UK digital bank serving the mass-affluent segment, said it plans to become the first UK bank to tokenize retail customer deposits on a public blockchain, with Midnight providing the underlying network and privacy-preserving architecture.

The first phase is concrete. Monument said it is targeting up to £250 million in tokenized deposits, with each token representing a one-to-one claim on funds held at the bank. Those deposits are intended to remain interest-bearing, redeemable in pounds sterling and protected within the existing regulatory framework, including the Financial Services Compensation Scheme. Monument says it currently serves more than 100,000 clients and has over £7 billion in savings deposits, giving the project a real balance-sheet base rather than a purely experimental starting point.

That setup is central to Midnight’s pitch. The tokenized deposits are not being framed as a new synthetic asset or an offshore wrapper, but as a blockchain mirror of traditional bank deposits. According to the release, transaction data on Midnight will be shielded and visible only to Monument and its customers, an architecture aimed at preserving the confidentiality banks need while still using public-chain rails.

Midnight Foundation President Fahmi Syed used the deal to make a broader point about institutional blockchain adoption. Financial firms, he said, have struggled with the tension between openness and banking-grade confidentiality. Midnight, in his words, is designed to “represent assets on public networks” while protecting “sensitive financial information,” and Monument’s rollout is meant to show that regulated products can move on-chain without stepping outside existing compliance and consumer-protection frameworks.

The longer-term roadmap explains why Hoskinson is talking in terms of billions rather than the initial £250 million. Phase two would expand beyond tokenized deposits into tokenized investment products delivered through the Monument app, including access to private equity, commodity funds and structured products. Phase three would introduce Lombard-style lending, allowing clients to borrow against investments without selling them. Monument also said its technology affiliate aims to extend tokenized-deposit functionality to other institutions through its Banking-as-a-Service platform.

In that sense, Hoskinson’s TVL projection reads less like a claim about day-one inflows and more like a statement about the size of the pipeline if the rollout expands as planned. The hard figure disclosed so far is £250 million in the first phase. But if Monument can move from deposit tokenization into investment products, lending and third-party enablement, Midnight would be competing for balance-sheet-linked activity that is structurally different from mercenary DeFi liquidity.

For Midnight, the partnership is also a live test of its core thesis: that privacy-enhancing infrastructure can make public blockchains usable for regulated finance. If Monument executes beyond the pilot, the deal would give the Cardano-linked network something many crypto projects still lack, a banking use case tied to real deposits, real customers and a product roadmap built to stay inside the guardrails of traditional finance.

At press time, Cardano traded at $0.26.

Cardano hovers below key resistance, 1-month chart | Source: ADAUSDT on TradingView.com

Criptomoedas em alta

Perguntas relacionadas

QWhat is the significance of the partnership between Midnight and Monument Bank according to Cardano founder Charles Hoskinson?

ACharles Hoskinson believes this partnership could become one of the largest deals for Midnight, potentially bringing hundreds of millions to billions in Total Value Locked (TVL) to its ecosystem.

QWhat specific service does Monument Bank plan to implement using Midnight's network?

AMonument Bank plans to become the first UK bank to tokenize retail customer deposits on a public blockchain, using Midnight's network and privacy-preserving architecture.

QWhat is the initial target amount for tokenized deposits in the first phase of the project?

AThe initial target for the first phase is up to £250 million in tokenized deposits.

QHow does Midnight's technology address the conflict between openness and confidentiality for financial institutions?

AMidnight is designed to represent assets on public networks while protecting sensitive financial information through its privacy-enhancing infrastructure, allowing transaction data to be shielded and visible only to the bank and its customers.

QWhat are the future phases of the project beyond tokenizing deposits?

APhase two will expand into tokenized investment products like private equity and commodity funds, while phase three will introduce Lombard-style lending, allowing clients to borrow against their investments without selling them.

Leituras Relacionadas

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbitHá 6m

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbitHá 6m

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbitHá 10m

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbitHá 10m

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbitHá 10m

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbitHá 10m

Trading

Spot

Artigos em Destaque

Como comprar ADA

Bem-vindo à HTX.com!Tornámos a compra de Cardano (ADA) 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 Cardano (ADA) 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 Cardano (ADA)Depois de comprar o teu Cardano (ADA), 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 Cardano (ADA)Transaciona facilmente Cardano (ADA) 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.

1.4k Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar ADA

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 ADA (ADA) são apresentadas abaixo.

活动图片