# Сопутствующие статьи по теме Infrastructure

The Golden Age of AI, or a Three Trillion Dollar Collective Adventure?

Based on analysis of 2026 outlook reports from top institutions including a16z, Goldman Sachs, J.P. Morgan, Morgan Stanley, and BlackRock, two key insights emerge regarding the AI boom. First, the AI infrastructure capital expenditure is projected to reach $3 trillion, with less than 20% currently deployed. Major cloud providers like Amazon, Google, Meta, Microsoft, and Oracle are heavily investing in data centers, GPUs, and power infrastructure. However, J.P. Morgan notes that the immediate economic benefits are limited, primarily boosting profits for some large corporations. True transformative productivity gains are still years away, indicating that 2026 will remain a phase of significant investment rather than harvest. Second, a divergence exists regarding the distribution of AI benefits. BlackRock introduces the concept of "Micro is Macro," highlighting how a few companies' AI investments already impact the macroeconomy. Data shows the equal-weight S&P 500 rose only 3% year-to-date, while the market-cap-weighted version (driven by tech giants) gained 11%, suggesting an AI concentration红利. Morgan Stanley is bullish, setting a 7800 target for the S&P 500—a 14% increase—based on strengthened profitability of tech giants. In contrast, J.P. Morgan and Goldman Sachs anticipate AI红利 spreading globally. They predict that a weaker dollar will drive AI benefits to emerging markets and global supply chains, with expected annualized returns of 10.9% for emerging markets, outperforming U.S. large caps at 6.7%. Europe and Japan are also seen as potential beneficiaries. In summary, the debate centers on whether AI红利 will remain concentrated among U.S. tech giants or diffuse globally, representing a $3 trillion collective venture still in its early, high-spending phase.

比推12/23 06:58

The Economic Calculus Behind Polymarket's Exit from Polygon

Polymarket, a leading prediction market platform, has announced plans to migrate from the Polygon network to its own Ethereum Layer 2 solution, named POLY. This move, confirmed by a team member on Discord, is driven by both product and economic motivations. Product-wise, the migration aims to provide a more stable and customizable infrastructure tailored to Polymarket’s specific needs, addressing limitations posed by Polygon’s occasional network instability. Economically, Polymarket seeks to capture and retain the full value of its ecosystem, preventing economic spillover to external networks. Data highlights Polymarket’s significant contribution to Polygon’s ecosystem: it accounts for approximately one-quarter of Polygon’s total value locked (~$326M vs. $1.19B) and around 23% of its gas consumption. The platform also drives substantial USDC liquidity and user activity on Polygon. The timing of the migration appears strategic, coinciding with Polymarket’s anticipated token generation event (TGE). Moving before token issuance reduces complexity and allows the project to reposition itself as a full-stack “app + chain” system, potentially unlocking higher valuation and narrative appeal. This shift reflects a broader trend where top-tier applications, having achieved scale and economic independence, may choose to decouple from underlying networks that no longer provide sufficient added value.

marsbit12/23 06:03

A Three Trillion Dollar Gamble and Global Diffusion: The Dual Narratives of AI in 2026

Analysis of 2026 AI trends from top institutions (a16z, Goldman Sachs, J.P. Morgan, Morgan Stanley, BlackRock) reveals two competing narratives: 1) AI infrastructure capital expenditure is projected to reach $3 trillion, with less than 20% currently deployed. Major cloud providers are heavily investing in data centers and GPUs, but J.P. Morgan cautions that near-term profit boosts will be limited to select companies. True productivity gains remain years away, indicating 2026 will still be an intensive investment phase rather than a harvest period. 2) A divergence exists in market expectations. BlackRock's "Micro is Macro" concept highlights how AI investments by a few firms already impact macro trends. The S&P 500 market-cap weighted index outperformed the equal-weight version by 8% YTD, suggesting concentrated AI benefits for tech giants. Morgan Stanley projects the S&P 500 to reach 7800, betting on continued dominance of big tech. Conversely, J.P. Morgan and Goldman Sachs anticipate AI红利global spillover, especially to emerging markets (10.9% expected returns), Europe (7.1%), and Japan (8.2%), fueled by a weaker dollar and global infrastructure upgrades. The divide centers on whether AI红利remains concentrated in U.S. tech or disperses globally.

marsbit12/23 01:07

How US banks are quietly preparing for an onchain future

US banks are methodically preparing for an onchain future by focusing on tokenizing traditional financial products like deposits, funds, and custody services, rather than speculative crypto assets. Key initiatives include JPMorgan’s JPM Coin and Citi’s Token Services for institutional payments, as well as experiments with tokenized money market funds and real-world assets. These efforts are largely occurring in wholesale payments and settlement, with strong regulatory oversight. Major banks are also building compliant custody solutions for digital assets. Regulators are permitting these activities within tightly supervised frameworks, emphasizing risk management and operational resilience. This incremental shift is reshaping financial infrastructure with embedded automation, real-time settlement, and reduced counterparty risk.

cointelegraph12/22 17:25

Lighthouses Guide the Way, Torches Claim Sovereignty: A Hidden War Over AI Allocation Rights

The article "Lighthouse Guides Direction, Torch Fights for Sovereignty: A Hidden War Over AI Allocation" by Zhixiong Pan examines the underlying power struggle in AI development, moving beyond superficial metrics like model size and performance rankings. It identifies two coexisting paradigms: the "Lighthouse," representing state-of-the-art (SOTA), centralized AI systems controlled by tech giants like OpenAI and Google, which push cognitive boundaries but are resource-intensive and create dependency risks; and the "Torch," symbolizing open-source, locally deployable models (e.g., DeepSeek, Mistral) that democratize access, ensure data sovereignty, and enable private, customizable AI assets. The Lighthouse drives innovation and sets technical directions but poses risks in accessibility, control, and single-point failures. The Torch, while shifting security and responsibility to users, offers resilience, cost stability, and compliance for critical applications in sectors like healthcare and finance. The interplay between these models forms a symbiotic relationship: Lighthouses expand capabilities, while Torches disseminate and stabilize these advances, collectively elevating AI’s baseline. Ultimately, the conflict is over AI allocation rights—defining default intelligence, managing externalities, and determining individual control. A dual strategy—using Lighthouses for frontier tasks and Torches for private, reliable deployment—is proposed as the pragmatic path forward, balancing extreme capability with broad, sovereign access. The true measure of the AI era lies not in raw power but in whether individuals possess "a light they don’t have to borrow from anyone."

marsbit12/22 11:13

Netmarble's MARBLEX Invests in OpenLedger, Ushering in a New Era of Verifiable AI-Driven Gaming

Netmarble's blockchain subsidiary, MARBLEX, has made a strategic investment in OpenLedger, a decentralized AI infrastructure provider. This partnership aims to integrate AI and data transparency technologies into gaming, entertainment, and other industries. Together, they plan to develop practical applications combining AI and blockchain, with a focus on building a Verifiable AI system and a decentralized gaming ecosystem. OpenLedger’s infrastructure enables on-chain recording of AI model operations, ensuring data reliability, traceability, and ownership transparency. This allows game companies like Netmarble to create adaptive, player-driven game environments shaped by real user behavior rather than opaque algorithms. The collaboration is seen as a milestone in merging gaming innovation with verifiable AI. Leveraging Netmarble’s global reach and established ecosystem, the partnership is expected to accelerate the adoption of AI-powered, trust-based systems across multiple sectors and pave the way for a new era of "4D gaming," where AI continuously learns and evolves in real time.

marsbit12/22 06:33

Finance Goes 'Invisible': How Stablecoins Are Becoming the New Arteries of the Digital Economy

This article explores the transformative role of stablecoins as the "new arteries" of the digital economy, moving finance into an "invisible" infrastructure layer. Key developments include Coinbase's major product upgrades, positioning it as an "Everything Exchange" that integrates trading, derivatives, stablecoins, and AI-driven services. Stablecoin adoption is accelerating, with Visa now allowing USDC settlements within the U.S. banking system, marking a structural shift in settlement layers. Regulatory progress is evident as U.S. authorities conditionally approve federal trust bank charters for firms like Ripple and Circle, while the FDIC advances stablecoin rules. New stablecoin products and payments integrations are emerging, such as PayPal's PYUSD for YouTube creator payouts and ADNOC's adoption of a national stablecoin at gas stations. Major financial institutions, including JPMorgan, are actively exploring tokenized deposits and assets on public blockchains. The growth of gold-backed stablecoins and national strategies like the UAE's push for asset tokenization further highlight the expansion of stablecoins beyond pure currency use cases into broader economic infrastructure. However, JPMorgan analysis suggests stablecoin growth may be limited by competition from bank-issued tokenized deposits and CBDCs, projecting a market cap of $500-600 billion by 2028.

比推12/22 06:12

Funding Weekly Report | 18 Public Funding Events, Hong Kong Stablecoin Payment Platform RedotPay Completes $107 Million Series B Funding Led by Goodwater Capital

Last week (Dec 15-21) saw 18 blockchain funding rounds totaling over $299 million. Key deals include RedotPay, a Hong Kong-based stablecoin payment platform, raising $107 million in a Series B led by Goodwater Capital. In DeFi, ETHGas raised $12 million for an Ethereum block space futures market. The AI sector had one deal with TestMachine securing $6.5 million. Infrastructure & tools saw 4 deals, including Speed's $8 million round led by Tether. CeFi was active with 6 deals, highlighted by Hilbert Group's $32 million acquisition of Enigma Nordic. DePIN projects Fuse Energy and DAWN raised $70 million and $13 million respectively. Prediction markets worm.wtf and Space raised $4.5 million and $3 million.

marsbit12/22 03:04

Canton Network explodes 36% after DTCC green light: Is a new trend born?

ambcrypto12/21 13:02

Blockchain and no-code tools challenge AWS' dominance: Crypto exec

The rise of AI-powered no-code tools and blockchain technology is challenging Amazon Web Services' dominance in cloud computing, according to Lomesh Dutta of the Dfinity Foundation. These tools democratize app creation and enable AI-driven, continuously updated user experiences without relying on centralized servers. Blockchain provides a secure, tamper-resistant infrastructure that operates without constant human intervention. Despite promoting decentralization, many crypto and Web3 projects still depend on AWS, as seen in multiple 2025 outages that disrupted major platforms like Binance, Coinbase, and MetaMask. Industry executives argue that true decentralization must extend beyond the ledger to infrastructure to avoid reliance on centralized providers.

cointelegraph12/20 17:44