# Пов'язані статті щодо Stripe

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Stripe", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

The Impact of OUSD on Circle, Tether, and Paxos: Not a Simple Negative, but a More Complex Competitive Landscape

OUSD's Impact on Circle, Tether, and Paxos: A Nuanced Competitive Reshuffle The launch of OUSD, a new stablecoin initiative, has complex implications for the stablecoin market. For Circle (CRCL), the initial 15-20% stock drop reflects legitimate competitive concerns but is not a "death sentence." Circle retains deep liquidity, existing integrations, and first-mover advantages. A potential restructuring or termination of its Coinbase partnership could even double its net revenue in the short term, providing more competitive freedom. However, OUSD, backed by Stripe's engineering and product strengths, could become the default stablecoin within the Stripe ecosystem for new adopters, challenging USDC's position. OUSD does not solve the core barrier for corporate adoption: it remains a credit exposure to its issuer (likely a Bridge-related entity), which, like Circle, is not an investment-grade entity. Large banks and asset managers could still capture the most lucrative enterprise use cases. Circle must accelerate its payment/fintech product development and consider defensive M&A. For Tether, OUSD targets a different market segment. Tether will continue focusing on distribution channels not prioritized by Stripe or Circle. Its market share may decline over time, but within a significantly growing total market. Paxos faces the greatest pressure. OUSD undermines the key selling points of its USDG stablecoin, and Paxos's regulatory advantages may diminish as frameworks mature. This poses a more existential challenge, explaining Paxos's recent shift back to its brokerage-as-a-service business.

marsbit7 год тому

The Impact of OUSD on Circle, Tether, and Paxos: Not a Simple Negative, but a More Complex Competitive Landscape

marsbit7 год тому

OUSD's Impact on Circle, Tether, and Paxos: Not a Simple Negative, but a More Complex Competitive Reshuffle

This article analyzes the impact of the newly announced stablecoin OUSD, backed by a consortium including Stripe, on major incumbents like Circle (USDC), Tether (USDT), and Paxos (USDG). For Circle, the announcement is not a simple negative. While the initial market reaction was rational, it's not a "death sentence." Circle retains deep liquidity, existing integrations, and first-mover advantage. A potential restructuring or termination of its exclusive revenue-sharing deal with Coinbase could even near-double its net income in the short term, providing more competitive flexibility. However, within the Stripe ecosystem, OUSD, with its strong engineering and product focus, could become the default choice, displacing USDC for new integrations. Circle must accelerate its own fintech product development and consider defensive M&A. OUSD does not directly threaten Tether's core markets, which focus on different distribution channels. Tether's market share may decline over time but within a significantly growing overall market. Paxos faces the greatest pressure. OUSD undermines the primary value proposition of its USDG stablecoin, and Paxos's regulatory advantages may erode as frameworks mature, posing a more existential challenge. This explains Paxos's recent strategic pivot towards brokerage-as-a-service. A fundamental unresolved issue for enterprise adoption remains: if issued by a Bridge-related entity, OUSD, like USDC, still represents a credit exposure to a non-investment-grade issuer, unless a parent company guarantee is provided. Large banks and asset managers entering the space later could still compete for the most lucrative enterprise use cases.

链捕手7 год тому

OUSD's Impact on Circle, Tether, and Paxos: Not a Simple Negative, but a More Complex Competitive Reshuffle

链捕手7 год тому

From Payment to Deployment: Stripe Bets on the AI Agent Economy

From Payments to Deployment: Stripe Bets on the AI Agent Economy Stripe is redefining economic infrastructure for the AI era, shifting its focus from serving primarily human users and software companies to enabling machine agents as active economic participants. The core thesis is that AI agents are evolving from tools into independent buyers and builders on the internet, necessitating a complete overhaul of traditional payment, billing, and deployment models. To empower agents as **buyers**, Stripe, in collaboration with Tempo, developed the Machine Payments Protocol. This protocol allows businesses to programmatically accept payments from agents without human intervention, using machine-readable payment instructions. Furthermore, Stripe's consumer wallet, Link, is being adapted to let users securely authorize agents to spend on their behalf. To empower agents as **builders**, Stripe Projects aims to simplify the deployment process. It allows developers and their agents to register, manage, and integrate the services needed to deploy applications directly from the command line, making "vibe-deploying" as seamless as "vibe-coding." This agent-driven economy, where products have real, variable costs (like AI tokens), disrupts traditional SaaS models. **Token-based monetization** is becoming central, requiring usage-based billing that charges for actual resource consumption, as seen with companies like Lovable and ElevenLabs. However, this model introduces new challenges like **token theft**, where fraudsters exploit services and vanish before billing. Stripe Radar helps combat this by assessing new accounts and predicting abuse risks. A critical innovation to balance customer experience and financial risk is **streaming payments**. By combining Metronome (for real-time usage tracking) with Tempo (for low-cost, high-frequency stablecoin payments), Stripe enables AI companies to collect fees *as tokens are consumed*. This eliminates the trade-off between imposing hard usage caps and risking unpaid invoices. In summary, Stripe's vision for AI economic infrastructure now encompasses providing a commercial framework for agents, wallets for agents, deployment tools for agents, token-based billing, fraud prevention for token abuse, and streaming payment capabilities. As AI transforms both commerce and software creation, Stripe is building the foundational infrastructure to support it.

marsbit06/08 00:16

From Payment to Deployment: Stripe Bets on the AI Agent Economy

marsbit06/08 00:16

Uncovering the Truth About Agent Commerce, Payments, and Infrastructure

Decoding Agent Commerce, Payments, and Infrastructure: The Reality Over the past year, I've been building infrastructure for the Agent economy, engaging with major players like Stripe, Visa, Coinbase, Google, and dozens of startups. A clear conclusion emerges: true, large-scale demand does not yet exist. Startups face structural challenges. Data points illustrate this gap. Stripe's Agent commerce platform has over 1,000 merchants but only single-digit transacting agents. Visa's Agent payment token requires 9-month KYC and a $250M revenue threshold, accessible only to giants like Amazon. On-chain analysis reveals actual daily Agent transaction volume is around $17k, half of which are test transactions. The article analyzes four potential markets: **1. Agent-to-Merchant (A2M):** Current AI shopping UX is often inferior to traditional e-commerce for visual, comparison-heavy purchases (clothing, electronics). Chat interfaces are a step back. Real merchant interest is defensive "Agent Engine Optimization," fearing future obsolescence, not current demand. Potential exists in high-frequency, low-decision purchases (e.g., food delivery) or simplifying terrible UX (complex checkouts, non-native shoppers), but these require massive consumer distribution channels dominated by giants like DoorDash and Amazon. **2. Agent-to-API (A2A):** Developers already have subscriptions and billing for core APIs (compute, data). The argument for micro-payments via crypto for sub-dollar API calls is addressed by pre-paid balances today. The deeper issue is supplier resistance; major SaaS firms rely on enterprise contracts, not fractional cent pricing. Opportunity lies in the long tail of niche services, but this is a smaller market catering to developers, a historically low-paying group. **3. Agent-to-Agent (A2A):** This remains a theoretical long-term vision with near-zero current transaction volume. It involves unique challenges: discovery, trust, negotiation, dispute resolution. When it materializes, it will require a fundamentally new settlement infrastructure for high-speed, variable-value, multi-party transactions. It's a real long-term bet, but not the current market. **4. Agent-to-Finance (A2F):** This is the only category with existing, paying demand. Integrating AI into financial workflows (trading, portfolio management) is a natural evolution and enables new capabilities like autonomous rebalancing. However, competition favors incumbents with regulatory licenses, compliance infrastructure, and existing client relationships. **The Real Issue:** Why is infrastructure still being built? Incumbents can afford long-term bets, and payment companies see every problem as a nail for their payment hammer. However, payment is just one piece. The core challenge is *coordination*—orchestrating work between Agents and humans, verifying outcomes, and settling results. Payment is part of settlement, which is part of coordination. Companies that solve the coordination problem will subsume payments, not the other way around. Startups lack the infinite runway of giants and must find today's real market, which, after a year of exploration, lies outside these four categories—in an area with real, growing, and underserved activity.

marsbit06/07 06:08

Uncovering the Truth About Agent Commerce, Payments, and Infrastructure

marsbit06/07 06:08

Who Funds the Agents?

**Summary: Who Funds AI Agents?** OpenAI recently shut down a feature allowing AI agents to shop for users, highlighting the challenge of creating a secure and regulated environment for agent-driven transactions. While payment infrastructure exists, a crucial governance layer—defining spending limits, fraud detection, tax handling, and return policies—is largely missing. The potential is enormous: AI agents already processed $73M across 176M transactions last year, with McKinsey forecasting this could grow to $3-5T in global consumer commerce by 2030. The core competition isn't just about processing payments, which can be very cheap (especially with crypto-based settlement), but about controlling the rules that govern agent spending. Key players like Stripe and Coinbase are racing to dominate this governance layer. Stripe's acquisition of wallet provider Privy allows it to set spending policies, identity checks, and human-in-the-loop approvals directly at the wallet level. Similarly, Coinbase's stack, including its x402 protocol and AgentKit, embeds governance rules. This vertical integration across settlement, wallet, and governance layers is becoming the dominant strategy. Control over the governance layer is where significant future value lies. If agents handle trillions in transactions, even a small fee for managing compliance, fraud prevention, and policy enforcement could generate billions in annual revenue. The companies that successfully integrate across the payment stack will capture value from idle agent balances, transaction fees, and governance services, positioning themselves as the foundational banks of the AI agent economy.

marsbit06/04 01:47

Who Funds the Agents?

marsbit06/04 01:47

Base MCP, The Next Step for x402

Base has officially launched Base MCP, allowing users to connect their Base Account to AI Agents to perform actions like swaps, transfers, portfolio tracking, and transaction history queries through conversational commands. This move aligns with Base's strategic focus on AI, driven by the broader competition in the emerging Agent-to-Agent payment sector. The evolution of Agent payments has accelerated. In late 2024, the primary method involved insecure browser automation. By 2025, solutions like Coinbase's x402 (providing crypto wallets for Agents), Google's AP2, and Visa's token-based system emerged. x402 has since processed 176 million transactions totaling over $70 million, with a median value between $0.01 and $0.10. Stablecoins, particularly USDC, dominate these settlements due to their negligible transaction costs compared to traditional payment fees, which are prohibitive for micro-payments. Coinbase faces competition from Stripe, which has built a comparable infrastructure for Agent payments with its Tempo blockchain, Privy wallets, Bridge routing (acquired for $1.1B), and the recently launched MPP protocol. Both companies are now competing at the application layer. The core reason AI is central to Base's strategy is to expand the scenarios for Agent payments, ensuring more transactions occur on its network. By securing a dominant position and scale advantage in this nascent field, Coinbase aims to capture the future commercial potential of Agent-driven payments. The launch of Base MCP is thus a strategic step in this larger ambition.

marsbit05/28 08:26

Base MCP, The Next Step for x402

marsbit05/28 08:26

The Next Generation of Payments Lies Not in the Payment Layer

The Next-Generation of Payment is Not in the Payment Layer This is the second piece in a series analyzing Stripe's AI strategy. The series stems from Stripe's vision of becoming the economic infrastructure for the AI Agent era, announced at Stripe Sessions 2026. A key debate centers on whether Know Your Agent (KYA) is merely an upgrade to existing payment systems. The author argues the opposite: payment will become a subsystem of KYA, not the other way around. Historically, major payment innovations (online banking, mobile wallets, QR codes) emerged from new transaction scenarios that broke the underlying assumptions of old systems, not from optimization within the payment layer itself. Agent economy is that new scenario, and KYA is the foundational infrastructure growing to support it. KYA's proposed five layers—Agent Identity, Authorization Scope, Intent Signing, Liability Chain Auditing, and Credit Rating—extend far beyond payments. Only authorization and auditing directly touch the payment链路. Identity, intent, and credit layers serve broader needs like cross-platform calls, AI alignment, and permission management. Stripe's strategic moves validate this view. Its focus on "economic infrastructure for AI," investments in protocols like Agentic Commerce Protocol (an identity/session protocol), Shared Payment Tokens, stablecoin infrastructure, embedded wallets, and its own Tempo blockchain for settlement, all point to building the KYA layer, not just optimizing payments. Data shows the core challenge in AI commerce has shifted upstream: determining "who this is, what they intend to do, and if they deserve resources" happens long before checkout. This is why Stripe is moving its Radar fraud prevention from the transaction moment to the entire user lifecycle—a KYA-layer concern. Legally, ultimate responsibility will still fall on a human, as laws like AB 316 dictate. However, in a distributed,网状 liability chain involving users, Agent platforms, model providers, and payment protocols, KYA's role is to use cryptography to make every entity's actions and roles verifiable and traceable. This enables accountability where it was previously impossible to pinpoint evidence, fundamentally changing责任追溯, not just payment efficiency. The next-generation payment形态 will not be designed within the payment layer. It will emerge from the Agent economy scenario after the KYA infrastructure is established.

marsbit05/10 03:16

The Next Generation of Payments Lies Not in the Payment Layer

marsbit05/10 03:16

The Next Generation of Payments Is Not in the Payment Layer

The next generation of payments won't be designed within the payment layer itself. This article argues that historical payment innovations (e.g., online banking, mobile wallets) emerged from new transactional scenarios, not from optimizing existing payment systems. The new scenario is the Agent economy. Know Your Agent (KYA) is not merely a payment-layer upgrade for efficiency. It is the foundational infrastructure layer for the Agent economy. KYA’s five layers—Agent identity, authorization scope, intent signature, accountability chain audit, and credit rating—primarily serve broader needs like cross-platform identification, AI alignment, and permission management. Payment is just one application built on top of this KYA foundation. Stripe’s strategy exemplifies this shift. Its focus on "economic infrastructure for AI," investments in protocols like the Agentic Commerce Protocol (identity/session layer), stablecoin infrastructure, embedded wallets, and moving risk management (Radar) to the user lifecycle all indicate it is building the KYA layer, not just optimizing payments. While ultimate legal liability remains with a human (as laws like AB 316 stipulate), KYA enables traceability in a distributed,网状 responsibility chain involving multiple entities (user, Agent platform, model provider, etc.). It makes accountability verifiable where previously it was opaque. The conclusion: A new class of economic actors (Agents) forces a new infrastructure layer (KYA) to emerge. This layer redefines identity, authorization, and accountability. On top of it, the next generation of payment will reorganize and emerge from the demands of the scenario, not from within the traditional payment system.

链捕手05/10 03:10

The Next Generation of Payments Is Not in the Payment Layer

链捕手05/10 03:10

The AI Economy I Saw at Stripe Sessions 2026

"At Stripe Sessions 2026, the AI economy's impact is undeniable, echoing the delayed productivity recognition seen with computers in the '90s. Stripe's data shows an AI boom: new business formation has surged vertically since early 2026, with companies generating revenue 5x faster than a year ago. AI firms like Lovable and Cursor scale to billions in months. Two key features define this economy: unprecedented speed and being 'global by default,' with companies reaching 55+ countries in their first year. Stripe's global financial infrastructure is critical for this instant international commerce. The conference's central theme was 'Agentic Commerce'—a future where AI agents become economic participants. Demos showed agents autonomously purchasing data, generating reports, and selling them. This shift introduces micro-payments and continuous 'strategic' spending, as agents lack human cognitive friction. New challenges like fraud targeting AI's real inference costs are met with systems like Stripe's Radar. The transition requires an ecosystem. Stripe is collaborating on protocols like the Machine Payments Protocol (MPP) and joining the Universal Commerce Protocol (UCP) to enable seamless agent-to-agent transactions. Underpinning this vision is Stripe's philosophy: 'money is data,' programmable and operable by agents. Thus, Stripe is not just powering the AI economy but acting as its 'heart-rate monitor,' capturing its rapid pulse through transactions equating to nearly 2% of global GDP."

marsbit05/08 05:58

The AI Economy I Saw at Stripe Sessions 2026

marsbit05/08 05:58

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