BlackRock and Visa are Running Nodes Themselves, How High Can Wall Street Lineup of Arc Push CRCL?

Опубліковано о 2026-09-15Востаннє оновлено о 2026-09-15

Анотація

Circle has announced the first batch of validators and integrating institutions for Arc, with the list covering BlackRock, DTCC, ICE, Visa, Mastercard, MoneyGram, and several international banks. The direct participation of these institutions in running the network is the key factor that distinguishes Arc from ordinary partnership announcements.

Traditional Financial Giants Join the List of Validators

Circle announced the founding validator lineup for Arc. Besides Circle, the list includes BlackRock, the Depository Trust & Clearing Corporation (DTCC), Galaxy, Global Payments, Intercontinental Exchange (ICE), Mastercard, MoneyGram, SBI Group, Standard Chartered Bank, Sumitomo Corporation, and Visa.

Before entering the public mainnet, Arc had over 100 ecosystem and institutional builders participating in its private mainnet. Circle stated that this validator structure is maintained by institutions that actually build and use the network, aiming to meet the security, operational, and compliance requirements of critical financial market infrastructure.

Validator Nodes Are Not Ordinary Brand Partnerships

Mastercard stated that future fund flows will be determined by collaboration among different payment rails, networks, and forms of value. Participating as a validator on Arc reflects its commitment to trusted, interoperable infrastructure. MoneyGram views Arc as a compliant and unified infrastructure that enables stablecoins to be truly used for payments.

The role of these institutions is not just to appear on a partnership list, but to directly participate in network validation and related product integration. For Arc, this helps establish early credibility and also makes network governance more oriented towards regulated institutions.

A Strong Lineup Still Needs Real Business Testing

Founding validators can improve Arc's initial security and institutional acceptance upon launch, but this does not automatically guarantee users, transaction volume, or revenue. After the launch, it will be necessary to observe whether these institutions truly migrate their payment, clearing, tokenized asset, and foreign exchange businesses to Arc.

For CRCL, the validator lineup provides room for valuation imagination; what determines its long-term value are still network fees, the growth in USDC usage, customer retention, and whether Circle can translate its infrastructure advantages into sustainable revenue.

Пов'язані матеріали

Founders Fund Leads $5 Million Token Purchase of ANVL: What Exactly is This "Non-Lending" DeFi Protocol Doing?

On October 6th, Founders Fund, led by Peter Thiel, invested $5 million to purchase ANVL tokens from the DeFi protocol Anvil's treasury. The round included participation from Pantera Capital and others, alongside angel investors like Compound founder Robert Leshner. Anvil is not a lending protocol. Instead, users lock assets like ETH or USDC into its vault to generate a verifiable on-chain "Letter of Credit" (LOC). This LOC acts as an economic guarantee, proving the user has sufficient locked collateral to back financial commitments, without borrowing funds. The protocol applies this mechanism to use cases like payment guarantees for merchants (via integration with Flexa) and enabling instant deposits for traders on exchanges like Bullish. Anvil's economic model is unique: it charges zero protocol fees. Its native token, ANVL, derives value solely from governance rights over parameters like supported collateral types. The total supply is 100 billion tokens. Despite an 83% price surge on the investment news, ANVL remains down approximately 89% from its all-time high. The protocol's Total Value Locked (TVL) has also fallen about 87% from its peak of ~$109 million in July 2025 to around $14 million currently. The investment represents a strategic bet that on-chain credit guarantees could become a significant category. Key factors to watch include the rate of real enterprise adoption through Anvil's SDK, the long-term sustainability of its zero-fee model, and the broader migration of traditional trade finance needs to blockchain infrastructure.

marsbit9 хв тому

Founders Fund Leads $5 Million Token Purchase of ANVL: What Exactly is This "Non-Lending" DeFi Protocol Doing?

marsbit9 хв тому

Mathematical Explosion: OpenAI Overnight Solves 722 Math Problems, Quasi-Riemann Hypothesis Proven

OpenAI has stunned the global mathematics and AI communities by releasing a GitHub repository containing 722 manuscripts addressing 372 previously unresolved major mathematical problem families, all reportedly generated by an unreleased internal AI model. The announcement, made without prior peer review, has provoked both excitement and alarm among mathematicians. The most notable breakthrough claims to be a proof of a "quasi-Riemann Hypothesis," establishing a zero-free region for Dirichlet L-functions with real part greater than 7/8 and eliminating the Landau-Siegel zeros—a significant leap in analytic number theory. The work has reportedly undergone formal verification using Lean. Other highlighted results include: unconditionally proving the NP-hardness of the basic semidefinite programming (SDP) threshold for approximation algorithms, based solely on P ≠ NP and circumventing the Unique Games Conjecture; proving the rational Hodge conjecture for abelian varieties with complex multiplication (CM); and resolving both the symmetric and asymmetric Mahler conjectures in convex geometry. According to OpenAI, most proofs were generated automatically by the model, with an average "thinking" time of just three hours per problem. This unprecedented scale and speed have sparked intense debate about the future of human mathematicians. While some express fear about the concentration of intellectual power, others see it as the dawn of a new era of discovery driven by AI. The mathematical world is now tasked with scrutinizing these claims, which, if verified, would represent historic milestones.

marsbit43 хв тому

Mathematical Explosion: OpenAI Overnight Solves 722 Math Problems, Quasi-Riemann Hypothesis Proven

marsbit43 хв тому

As Midterm Elections Approach, the Real Trade in U.S. Stocks Isn't About Who Wins

With the US midterm elections approaching in early November, political uncertainty has re-emenrged as a market variable. While market participants are weighing potential shifts in congressional control and policy direction, historical data suggests midterm elections themselves are not a definitive negative catalyst for US equities. Since 1937, the S&P 500 has averaged a positive gain of 9.2% in midterm election years, though this lags behind the 13.3% average for non-election years. A more consistent historical pattern is increased market volatility and a tendency for stronger performance concentrated in the fourth quarter, as political uncertainty is resolved. The article, citing analysis from J.P. Morgan and Capital Group, argues that the market's primary concern is policy path uncertainty rather than which party wins. This uncertainty tends to depress markets in the run-up to the vote, with a potential rebound afterward as the political risk premium dissipates. However, the article cautions against attributing market performance solely to the election. Recent midterm years like 2018 and 2022 saw significant market declines primarily driven by factors like Federal Reserve tightening and inflation, not the election outcome itself. The core argument is that the midterm election's impact on markets is often secondary to more fundamental drivers. Regardless of whether the result is a unified or divided government, the market's longer-term trajectory has historically been determined by underlying economic conditions. For the current environment, the key variables to watch post-election are not political labels but the path of interest rates, corporate earnings trends, and whether any actual policy changes materially alter cash flow expectations for businesses. The election may influence sentiment and policy expectations, but the sustainability of any year-end rally will ultimately depend on these core fundamentals of profitability, rates, and economic data.

marsbit49 хв тому

As Midterm Elections Approach, the Real Trade in U.S. Stocks Isn't About Who Wins

marsbit49 хв тому

Bitcoin.de trading remains halted as German regulator rejects MiCA application

Bitcoin Group SE's trading platform bitcoin.de remains halted after Germany's BaFin rejected its subsidiary futurum bank AG's application to become a regulated crypto service provider under the EU's MiCA rules. The company stated it had anticipated this possibility and is now seeking an alternative operating model to resume trading through regulated partners quickly. CEO Moritz Eckert emphasized implementing this new model and keeping customers informed. The platform, with over 1.1 million users, had recently upgraded to a brokerage model but suspended trading in mid-June while awaiting the now-denied authorization. Bitcoin Group SE is reviewing the decision and may object or reapply in the future.

cointelegraph59 хв тому

Bitcoin.de trading remains halted as German regulator rejects MiCA application

cointelegraph59 хв тому

AI Can't Change 'DNA': How Long Can SanDisk Stay Strong?

**AI Cannot Alter the "DNA": How Much Longer Can Western Digital's Run Last?** This analysis examines the sustainability of the current "super cycle" for NAND flash memory, driven by AI, with a focus on Western Digital (WD). The core argument is that while AI demand has fundamentally shifted NAND's role from a data warehouse to an essential component on the compute path, especially for AI inference, this does not eliminate the industry's cyclical nature. The piece first assesses the supply-demand dynamics. On the supply side, major producers are showing capital expenditure restraint for NAND, prioritizing DRAM/HBM. Capacity growth through 2028 relies heavily on technological upgrades (increasing 3D layers to 300+) and expansion primarily from China's YMTC, rather than new fabs. Global new fab capacity from players like Samsung and WD/Kioxia is concentrated post-2029. This results in estimated bit supply growth (CAGR ~24% for 2026-2028) largely driven by higher per-wafer output. Demand is undergoing a structural shift. AI-related NAND demand (for data lakes, KV cache, and staging) is forecast to grow at a 75% CAGR from 2025-2028, becoming the dominant driver. Data center demand will surpass 50% of total NAND demand in 2026. Consumer demand (PC, smartphone) is being squeezed and is expected to decline or stagnate. A key 2027 demand catalyst is NVIDIA's Rubin platform with its dedicated contextual memory storage (ICMS). The analysis concludes that a supply-demand deficit will persist into 2027. However, 2028 is identified as a potential inflection point where supply (led by YMTC's new fab) could outpace demand, ending the price rally. For Western Digital, the analysis models a more conservative path than management's guidance. It forecasts Average Selling Price (ASP) peaking in FY28 (ending June 2028) before declining in FY29-30 as the market loosens, though supported by long-term agreements (LTAs) and a higher mix of data center products. Consequently, margins and profits are expected to peak in FY28 and then contract. The valuation suggests WD's current price largely reflects a neutral scenario, with limited short-term upside unless the market becomes convinced that prices will remain stable post-2028. The fundamental takeaway is that despite AI's transformative impact, NAND's cyclical "DNA" remains intact.

marsbit1 год тому

AI Can't Change 'DNA': How Long Can SanDisk Stay Strong?

marsbit1 год тому

Торгівля

Спот