# Tokenization İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Tokenization" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

After $1.26 Trillion: Why Are Circle and Stripe Rushing to Pay 'Wages' to AI Agents?

The article discusses the significant rise of stablecoins, particularly USDC, as the preferred payment method for AI agents. In March 2026, Circle and Stripe are competing to build stablecoin infrastructure for AI agent payments, with USDC processing $1.26 trillion in transactions, accounting for 70% of stablecoin activity. Key points include: - AI agents require programmable, instant, low-friction payment systems, which traditional finance (banks, credit cards) cannot provide. Stablecoins on blockchain meet these needs with 24/7 transfers, smart contract automation, and price stability. - Data shows 98.6% of AI agent payments on platforms like Stripe's x402 use USDC, indicating stablecoins are becoming the default for machine-to-machine transactions. - Regulatory developments are supporting this growth: Hong Kong is issuing its first stablecoin licenses, the US OCC has proposed a federal framework, and the EU has MiCA regulations, signaling global institutional adoption. - Stablecoins act as a "blood system" connecting the digital and real economies, facilitating both internal digital transactions (e.g., tokenized assets) and external fiat conversions. - Risks include security vulnerabilities, regulatory fragmentation, and market instability, but the trend is clear: stablecoins are evolving from crypto tools to essential infrastructure for AI-driven economies. The article concludes that as AI agents autonomously transact, stablecoins will be critical infrastructure, urging businesses and investors to prepare for this shift.

marsbit4 saat önce

After $1.26 Trillion: Why Are Circle and Stripe Rushing to Pay 'Wages' to AI Agents?

marsbit4 saat önce

From 5 Cents per kWh Chinese Electricity to $45 API Export Packages: Token is Becoming the New Currency Unit

The article explores the concept of "Token出海" (Token Outbound), arguing that tokens are evolving from a technical term into a new monetary unit in the machine-driven economy. It begins by drawing a parallel between historical control over information flow (like transatlantic cables) and today's control over AI API calls and value transfer. Tokens now serve a dual role: as a unit of computation in AI and a means of payment in crypto. A key driver is the rise of AI Agents, like OpenClaw, which shift tokens from being a simple "conversation cost" to a "production fuel" for executing complex tasks. This massive consumption creates a competitive advantage for Chinese AI models, which are often priced lower. The article posits that this isn't just about cheap models, but about China leveraging its vast domestic electricity and computing power to export value globally via token-denominated AI services. The convergence of AI and crypto is facilitated by protocols like x402, which enables machines to natively pay for API calls, and ERC-8183, which allows them to enter into complex escrow-based contracts. This creates a machine-native economic layer where tokens act as the fundamental unit of permission, settlement, and value measurement. The conclusion is that while traditional fiat won't disappear, tokens are becoming the foundational monetary unit for the new agentic economy. The future "power to mint currency" may belong to those who can most efficiently compress real-world resources (like electricity and compute) into tradable tokenized services.

Odaily星球日报Dün 04:41

From 5 Cents per kWh Chinese Electricity to $45 API Export Packages: Token is Becoming the New Currency Unit

Odaily星球日报Dün 04:41

When AI Starts Paying with USDC, Circle's Victory and the Custodial Challenge of Funds

The article discusses the rise of AI agents as independent economic entities, highlighting that 99% of their payments are made using USDC, positioning Circle as a key beneficiary. Over a nine-month period, AI agents conducted 140 million transactions totaling $43 million, with an average transaction size of $0.31. This shift signifies AI's transition from conceptual to real economic activity, raising questions about financial infrastructure and asset management for autonomous agents. Circle’s three-layer infrastructure—stablecoin issuance, efficient on-chain settlement, and integration with traditional finance—enables seamless micro-payments. However, as AI agents accumulate capital, they will need to manage idle funds, creating opportunities for Real World Asset (RWA) tokenization. Projects like Ondo Finance are making RWA assets machine-readable and programmable, allowing AI agents to automate investments in tokenized treasury bonds or other low-risk assets. The integration of payment and asset management systems could enable AI agents to optimize operational efficiency by automatically investing surplus USDC into yield-generating RWA products. However, challenges remain, including data authenticity, model and liquidity risks, regulatory disparities, and technical security. The article concludes that while Circle provides the "payment nervous system" for AI economies, RWA must evolve to serve as the "energy storage system," ensuring AI agents can manage assets as efficiently as they execute transactions.

比推2 gün önce 04:31

When AI Starts Paying with USDC, Circle's Victory and the Custodial Challenge of Funds

比推2 gün önce 04:31

12 Potential Startup Directions in the AI and Blockchain Space

The convergence of AI and blockchain is enabling a new economic paradigm dominated by "Money Machines"—autonomous software systems that operate 24/7, create value, and grow with minimal human intervention. These systems, powered by programmable value (blockchain) and programmable decisions (AI), represent the next industrial revolution, scaling human potential through autonomous capital. Key infrastructure enabling this shift includes stablecoins, tokenized assets, decentralized identity, and on-chain financial protocols. The article outlines 12 promising startup directions at this intersection: 1. **Agent Equity & Investment Banking**: Capitalizing AI systems via partial ownership, revenue-sharing tokens, and on-chain DAOs. 2. **Compute Exchanges & Markets**: Financial infrastructure for GPU capacity trading (e.g., futures, options). 3. **Liquidity Operating Systems**: Programmable short-term liquidity for cross-border payments and stablecoin conversions. 4. **Agent Service Marketplaces**: Platforms for monetizing expertise (e.g., legal, research) via deployable AI agents. 5. **Agent Identity & Reputation**: Decentralized identity and verifiable credentials for AI agents. 6. **Yield-as-an-API**: Programmable, real-time yield generation for software-managed capital. 7. **Credit Infrastructure**: Non-human lending primitives using stablecoins and smart contracts. 8. **Compliance for Tokenized Securities**: KYC/AML layers for seamless, regulation-compliant tokenized asset flows. 9. **Agent Payment Controls**: Programmable spending limits and approvals for autonomous transactions. 10. **Stablecoin Treasury Management**: Automated tools for corporate crypto/fiat treasury optimization. 11. **Cross-Chain Settlement & Interoperability**: Chain-agnostic execution and liquidity routing for agents. 12. **Data Monetization & Provenance Networks**: Decentralized data markets with micro-payments and usage tracking. These areas highlight the infrastructure needed for an internet-native financial system where autonomous agents dominate economic activity.

marsbit2 gün önce 01:38

12 Potential Startup Directions in the AI and Blockchain Space

marsbit2 gün önce 01:38

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