GCUL, Google’s New Layer 1 for Payments, Tokenization and Settlement — Everything You Need to Know

ccn.comPublicado em 2025-08-26Última atualização em 2025-08-27

Key Takeaways

  • Stablecoins are now mainstream, as transaction volumes in 2024 surged to $30T total, surpassing Visa’s annual payments flow.
  • Legacy rails like ACH, RTGS, and card networks are costly, slow, and fragmented.
  • Google launched its Google Cloud Universal Ledger (GCUL), a planet-scale, permissioned blockchain built for payments and capital markets.
  • GCUL is evolutionary, not revolutionary, as it doesn’t replace money but upgrades the plumbing of global finance.

Global payment systems remain the backbone of commerce, but much of the infrastructure behind them is dated and fragmented.

Cross-border transfers are often slow and expensive, and many banks still rely on legacy systems that are costly to maintain and difficult to upgrade.

At the same time, demand for faster, cheaper, and programmable payments has grown with the rise of digital assets and stablecoins.

Against this backdrop, Google Cloud has introduced the Universal Ledger (GCUL) , a new layer-1 blockchain designed for payments, tokenization, and settlement.

Rather than competing with existing forms of money, the platform aims to provide banks and financial institutions with a modernized backbone that combines the compliance of traditional finance with the efficiency of distributed ledger technology.

Top Crypto Tax Accounting Software
Sponsored
Disclosure
We sometimes use affiliate links in our content, when clicking on those we might receive a commission at no extra cost to you. By using this website you agree to our terms and conditions and privacy policy.

The Rise of Stablecoins and the Payments Revolution

Stablecoins have quietly become one of the most disruptive forces in finance.

In 2024, stablecoin transaction volumes tripled , reaching $5 trillion in organic activity and over $30 trillion in total settlement volume, according to Visa and Artemis.

For context, that’s nearly four times PayPal’s annual transaction volume of $1.6 trillion and surpasses Visa’s global payments volume of $13 trillion.

Meanwhile, the supply of dollar-backed stablecoins has grown to more than 1% of the U.S. M2 money supply. This milestone underscores that stablecoins are no longer an experiment but an infrastructure.

This shift collides with a payments industry worth nearly $3 trillion annually. Traditional rails—credit cards, ACH, RTGS—are complex, expensive, and slow.

Stablecoins, by contrast, move value seamlessly between digital wallets, often instantly and at negligible cost.

Financial markets are also exploring stablecoins for on-chain settlement of trades, enabling greater transparency, faster clearance, and lower costs.

The demand for a new payments backbone has never been greater. That’s where Google Cloud’s Universal Ledger (GCUL) enters.

The Problem: Today’s Fragmented, Expensive Infrastructure

The global financial system is heavily fragmented. Each country has its own rails, compliance regimes, and standards.

Cross-border payments are slow, expensive, and dependent on fragile correspondent banking chains—a system that has shrunk by 25% in the last decade.

The costs are staggering:

  • Annual maintenance for outdated payment systems: $37 billion in 2022 , rising to $57 billion by 2028.
  • Lost economic growth: The Economist estimates fragmented payment systems could cut $2.8 trillion (2.6% of GDP) from the global economy by 2030, equivalent to 130 million jobs lost.
  • High fees: A retailer like Walmart could save $8B annually in card processing fees by switching to a lower-cost system—potentially boosting EPS by 40%.

Meanwhile, 75% of banks say they struggle to launch new services on outdated payment infrastructure, opening the door for fintechs and neobanks to capture market share.

The Promise of Web3 and Stablecoins

Web3 experimentation has demonstrated that distributed ledgers (DLTs) can solve many of these inefficiencies:

  • Always-on, global infrastructure.
  • Atomic settlement (simultaneous, irreversible transfers of assets).
  • Transparent, shared ledgers reduce reconciliation needs.
  • Programmability (smart contracts, automated payments).

Stablecoins, in particular, have been the breakout success. They enable near-instant, borderless transfers, have attracted retail and institutional adoption, and now settle more value annually than some of the largest payment networks in the world.

Yet challenges remain:

  • Regulation is incomplete, with rules like Europe’s MiCA and the U.S. stablecoin bills only now taking shape.
  • Compliance with AML and sanctions is complex in public, pseudonymous systems (63% of illicit blockchain transactions in 2024 were in stablecoins).
  • Fragmentation across multiple chains forces complex bridging solutions.
  • Scale: Stablecoin volumes are large but still an order of magnitude below ACH and two orders of magnitude below card networks.
  • Capital efficiency: Fully reserved stablecoins pull deposits out of banks, limiting credit creation.

These challenges mirror the historical weaknesses of private banknotes. Enter GCUL, Google Cloud’s attempt to provide a new, institutional-grade foundation.

Introducing GCUL: Google Cloud Universal Ledger

Google launched Google Cloud Universal Ledger (GCUL) , a planet-scale blockchain / L1 network purpose-built for payments, tokenization, and settlement.

Unlike retail-focused stablecoins, GCUL is positioned as an infrastructure layer for banks, financial institutions, and enterprises.

Key design principles:

  • Simplicity: Delivered as a cloud service with a single API. Integration across multiple currencies and assets is straightforward. Transaction fees are predictable and billed monthly, not volatile like crypto gas fees.
  • Flexibility: Programmable, scalable, and interoperable with digital wallets and financial platforms. Supports automation and multi-asset tokenization.
  • Security & Compliance: Private, permissioned ledger with built-in KYC, audit trails, and compliance hooks. Designed to evolve as regulations mature. Runs on Google’s highly secure, resilient infrastructure.

For customers, GCUL promises near-instant transactions, low fees, 24/7 availability, and automation. For financial institutions, it reduces operational costs, simplifies compliance, and unlocks new service opportunities, allowing banks to retain customer relationships.

Why GCUL Matters for Capital Markets

Just as electronic trading revolutionized equities and bonds, GCUL could modernize capital markets infrastructure. Settlement cycles in traditional finance still take days, tying up billions in collateral.

GCUL’s settlement capabilities reduce counterparty risk, unlock liquidity, and support on-chain issuance and management of assets like bonds, funds, and collateral.

Google envisions a system where capital moves seamlessly 24/7, supported by regulated entities and safe settlement assets, like central bank deposits or money market funds.

Unlike many crypto-native projects, GCUL doesn’t aim to replace money. It complements the existing system by upgrading the infrastructure, not reinventing the currency.

Commercial bank money remains the foundation, ensuring regulatory clarity and capital efficiency.

This evolutionary approach positions GCUL as a neutral enabler, not a competitor to banks or payment networks. By partnering with incumbents, Google aims to accelerate innovation while preserving stability.

GCUL’s Strategic Positioning: Beyond Payments into Data and AI

While Google Cloud Universal Ledger (GCUL) is being presented primarily as a payments and settlement platform, its more profound significance lies in integrating data, AI, and cloud infrastructure into financial workflows.

Unlike most blockchains, which operate as standalone ecosystems, GCUL is embedded directly into Google Cloud’s broader suite of enterprise services.

This has several implications:

  • Data Integration: GCUL can interoperate natively with Google’s analytics stack (BigQuery, Looker, Vertex AI). Financial institutions could instantly analyze transaction flows, liquidity positions, or compliance metrics within their existing dashboards, eliminating the lag between operations and reporting.
  • AI-Driven Automation: By tapping into Google’s AI capabilities, GCUL could power intelligent payment routing, fraud detection, and compliance monitoring in real time. For example, KYC/AML checks could be dynamically adjusted based on evolving risk profiles, rather than applied as static rules.
  • Developer Ecosystem: GCUL’s choice of Python-based smart contracts is intentional. Unlike Solidity or Rust, Python already dominates in financial data science and machine learning. This lowers the barrier for banks and fintech developers to build applications directly on the ledger, leveraging a language and toolset they already use.
  • Scalability by Default: Operating as a cloud-native service, GCUL inherits Google Cloud’s elastic scalability. This addresses one of the key limitations of existing blockchains: performance bottlenecks under heavy load. Whether processing millions of microtransactions or high-value institutional settlements, the underlying infrastructure can scale seamlessly.

GCUL is not just another blockchain. It is a financial-grade ledger woven into the fabric of Google’s cloud and AI ecosystem, giving institutions a compliant, secure platform capable of evolving alongside the rapid shifts in data and AI-driven finance.

Comparative Environment: Tempo, Arc, and GCUL

Here’s how Google’s Universal Ledger stacks up against Stripe and Circle’s initiatives, based on available information:

Name Tempo (Stripe) Arc (Circle) Universal Ledger (Google Cloud)
Blockchain Architecture EVM L1 EVM L1 Google-developed L1 / Planet-scale blockchain
Launch Date TBD Public Testnet (Fall 2025) Private Testnet (2025)
Existing Distribution Millions of merchants; $1.4T TPV No direct end-user base; USDC fragmented across chains Billions of Google users; hundreds of institutional partners (Cloud/Ads)
Features Stripe stack (payments, wallet, onboarding, on/off ramps via Bridge) USDC as native gas; sub-second finality; integrated FX & CPN Native bank money on-chain; finance-focused; Python-based smart contracts
Competitive Drivers Build vertically integrated network; compete with Visa/Mastercard Counter Tether’s dominance; post-IPO growth narrative Neutral infrastructure for finance; 24/7 capital markets; agentic payments

What’s Next

The payments dilemma is simple: institutions can either cling to legacy rails, losing ground to faster-moving fintechs, or embrace new infrastructure. GCUL offers them a middle path—modernization without disintermediation.

Stablecoins have already proven their demand. Now, with Google Cloud Universal Ledger, the world’s largest companies, banks, and markets may have the infrastructure they need to compete in a programmable, global, 24/7 economy.

Was this Article helpful? Yes No

Criptomoedas em alta

Leituras Relacionadas

AI Billing Black Box Exposed: 1.7 Million Overcharged, Anthropic Refunds But Doesn’t Admit Fault

A startup named Vaudit, founded by former Oracle director Michael Hahn, audits AI bills for companies and claims to have identified approximately $1.7 million in overcharges across 60 businesses, totaling $34 million in reviewed bills. The alleged discrepancies primarily involve charges for Anthropic's Claude Code. Common issues cited include billing for newer, more expensive models when older, cheaper ones were used; charging for failed or errored requests; and "retry storms" where AI agents silently retry failed tasks, accumulating costs unnoticed. Major clients like Panasonic, HP, and Honda were among those audited. While Vaudit reports that around 80% of the disputed charges were refunded by providers like Amazon, Google, Microsoft, Anthropic, and OpenAI after申诉, the AI companies largely deny systemic problems. Anthropic stated overcharges do not appear widespread and it does not bill for uncompleted requests or errors, while OpenAI said it found no evidence of such issues affecting its customers. The situation highlights the inherent opacity and complexity of AI billing, which is based on token usage that is difficult to track and predict, especially with multi-agent, multi-model workflows. This complexity is creating a new market for third-party AI bill auditing services like Vaudit, which charges fees based on recovered amounts. Separately, Anthropic faces a proposed class-action lawsuit alleging its high-tier subscription plans deliver far less usage than advertised. The case underscores growing scrutiny over AI service pricing and transparency as major providers prepare for IPOs.

marsbitHá 17m

AI Billing Black Box Exposed: 1.7 Million Overcharged, Anthropic Refunds But Doesn’t Admit Fault

marsbitHá 17m

Tencent Buys Baidu Chips

China's internet giants, once defined by building closed, self-sufficient empires, are undergoing a fundamental shift. A key signal is Baidu's plan to spin off its AI chip unit, Kunlun Xin, for a Hong Kong IPO targeting a $50 billion valuation, potentially exceeding its parent company's worth. Concurrently, Alibaba's T-Head is also pursuing independence. Most significantly, reports indicate that rival Tencent has become a major customer for Kunlun Xin's chips. This move, where competitors begin procuring each other's core technologies, marks a decisive break from the past era of internal duplication and isolation. It signals the maturation of China's AI industry into a more open, specialized ecosystem. The underlying driver is the immense and clear cost of AI infrastructure, particularly the exploding demand for inference compute driven by AI agents and applications. Hardware is no longer just an internal cost center but a profitable, strategic business in itself. Globally, a parallel trend is evident as OpenAI, Google, Amazon, and others develop their own AI chips to control costs and optimize performance. The competition has moved beyond model benchmarks to a deeper, foundational war over token cost efficiency, inference cluster performance, and secure, scalable computing power. Baidu and Alibaba aren't dismantling their empires but are instead decoupling non-core, capital-intensive infrastructure to participate in and shape a larger, collaborative industrial base. The era of the all-encompassing super-app is giving way to an age of strategic specialization and open ecosystem building in the AI race.

marsbitHá 33m

Tencent Buys Baidu Chips

marsbitHá 33m

The Token Itself Is an Asset: Three Types of Tokenized Stocks, Which One Suits You?

"Tokenized Stocks: Three Types, Which One Fits You? For investors outside the US, buying stocks like SpaceX or Nvidia is difficult, requiring brokers, cross-border transfers, and often accredited investor status. Blockchain offers an alternative through tokenized stocks, a term encompassing three distinct products with vastly different ownership, voting, and profit rights. 1. **Full Real Ownership**: Companies like Superstate register native equity directly on-chain (e.g., Solana). Holders are on the official shareholder registry, with full voting rights, dividends, and legal ownership. This offers maximum rights but potentially less DeFi flexibility. 2. **SPV-Backed Tokens (Surrendered Ownership for DeFi Composability)**: Issuers like Backed (xStocks) and Ondo use offshore Special Purpose Vehicles (SPVs) to hold underlying shares 1:1 and issue tracking tokens. Investors get price exposure and dividends (reinvested as more tokens) but hold a claim on the SPV, not direct stock ownership. This enables use as collateral in DeFi protocols (Kamino, Morpho) and 24/7 minting/redemption, but carries SPV counterparty risk (highlighted by the PreStocks collapse). 3. **Perpetual Futures (Pure Price Speculation)**: Platforms like TradeXYZ (on Hyperliquid) and Ostium offer perpetual contracts. These are synthetic derivatives with no underlying stock ownership, using funding rates to track spot prices. They require only a price oracle, allowing extremely fast listing (e.g., SpaceX pre-IPO) and high leverage, attracting speculators. Their trading volume far exceeds tokenized spot products. The core value of tokens is that they don't need to replicate full stock ownership. Most retail investors never vote. Tokenization creates layered financial tools: full equity for institutions, composable tokens for DeFi users, and perpetuals for leveraged traders."

marsbitHá 33m

The Token Itself Is an Asset: Three Types of Tokenized Stocks, Which One Suits You?

marsbitHá 33m

AI as the Boss: Nearly Bankrupts 10 Companies...

A recent study from Princeton University tested 14 AI models, including large language models (LLMs) and a rule-based algorithm, in a simulation where they acted as CEOs of a virtual SaaS startup over 500 days. The goal was to grow an initial $1 million capital. The results were stark: only four "CEOs" ended with a profit. The top performer was Claude Fable 5, multiplying the capital 47-fold to $47.15 million. Claude Opus 4.8 and GPT-5.5 followed. Notably, the fourth profitable entity was a simple, pre-programmed rule-based algorithm, which outperformed many advanced LLMs with $15.76 million in profit. Five other models, including several major LLMs, went bankrupt before the simulation ended. Key takeaways from the research highlight that successful AI CEOs demonstrated a tendency for exploration and adaptation over caution. They excelled in discovering hidden information, predicting future cash flow, adapting quickly to changes (like competitor moves), and engaging in strategic "if-then" planning. The study also found that equipping LLMs with programming-agent frameworks, optimized for coding tasks, actually harmed their performance in this CEO role, suggesting a need for domain-specific adaptations. The article concludes by contrasting AI's current operational proficiency within defined frameworks with the type of visionary, intuitive decision-making—exemplified by figures like Steve Jobs—that truly drives transformative business strategy. This critical "matrix-drawing" capability, it argues, remains uniquely human.

marsbitHá 43m

AI as the Boss: Nearly Bankrupts 10 Companies...

marsbitHá 43m

Trading

Spot

Artigos em Destaque

Como comprar LAYER

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

317 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar LAYER

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 LAYER (LAYER) são apresentadas abaixo.

活动图片