2026-08-07 Sexta

Notícias de cripto - Página 339

Mantenha-se a par do mercado de cripto. Notícias em tempo real, análises, preços, histórias em alta e análise de especialistas — tudo num só lugar.

Bernstein Report: Agentic AI Will Transform CPU from Supporting Role to Leading Role, Bullish on Hygon Information

Bernstein research report: Agentic AI will turn CPUs from supporting players to leading roles, bullish on Hygon Information. Analysts led by David Dai argue that AI is transitioning from the chatbot era to the agentic AI era. Unlike simple query-response models, agentic AI involves complex workflows including retrieval, planning, tool calling, and multi-step reasoning. This shift dramatically increases the demand for CPU compute to orchestrate these tasks, manage memory, and prevent expensive GPU idling. The report forecasts that the GPU-to-CPU ratio in inference clusters will reverse from 8:1 in 2025 to 1:1 by 2029. In agentic AI workloads, CPUs could account for 50% of the compute, on par with GPUs. Consequently, the server CPU Total Addressable Market (TAM) is projected to surge from $37 billion in 2025 to $223 billion by 2030, representing a 6x expansion. Arm is identified as a key beneficiary due to its superior performance-per-watt and a strategic shift from IP licensing to designing its own chips, targeting $15 billion in chip revenue by 2030. Bernstein raises Arm's price target to $500. For x86 vendors, the report is Overweight on AMD (target $600) and Hygon Information (target CNY 450), citing leadership and strong growth in the Chinese market respectively. Intel's target is raised to $100, reflecting upgraded earnings assumptions. The analysis acknowledges significant supply-side risks, questioning whether foundry and memory capacity can support such rapid CPU growth. The optimistic demand forecast also heavily relies on Nvidia's guidance for over $1 trillion in annual AI infrastructure spend by 2027.

marsbit06/17 09:46

Bernstein Report: Agentic AI Will Transform CPU from Supporting Role to Leading Role, Bullish on Hygon Information

marsbit06/17 09:46

Will UNI Reach $100 in Four Years? Can Standard Chartered's Prediction Come True?

TL;DR: Standard Chartered Bank predicts UNI token will reach $100 by 2030, based on the growth of tokenized assets fueling demand for open DeFi liquidity and Uniswap's potential to capture fees from that trading. However, institutional tokenized products like BlackRock's BUIDL fund show that strict access controls and permissioned systems remain major barriers. Standard Chartered's $100 price target for Uniswap's (UNI) governance token by 2030 projects massive growth from current levels. The bank's thesis hinges on tokenized real-world assets (RWA) reaching trillions in value and a significant portion flowing into open, decentralized markets for trading and liquidity, rather than remaining in closed, permissioned systems. Uniswap's position as a leading decentralized exchange (DEX) infrastructure could allow it to capture a major share of this future trading activity. A key challenge is whether tokenized assets like bonds, funds, and stocks will trade openly on DEXs or be restricted to controlled, institutional platforms. The case of BlackRock's BUIDL fund exemplifies this tension: while it uses Uniswap's technology for settlements, trading is strictly limited to pre-approved, whitelisted institutional participants. This hybrid model provides DeFi efficiency but maintains traditional access barriers. For UNI to achieve such a high valuation, Uniswap must not only see increased trading volume from tokenized assets but also implement effective value-capture mechanisms for token holders. Recent governance proposals aim to direct protocol fees to UNI stakers, creating a clearer link between platform usage and token value. Ultimately, the realization of Standard Chartered's prediction depends on the future structure of the tokenized asset market. If open liquidity pools and reduced restrictions prevail, Uniswap's role could expand far beyond crypto-native trading. If permissioned, walled-garden systems dominate, its growth from institutional tokenization may be limited. The prediction itself signals growing institutional recognition of DeFi's potential role in the future of finance.

marsbit06/17 09:38

Will UNI Reach $100 in Four Years? Can Standard Chartered's Prediction Come True?

marsbit06/17 09:38

Banking Giants Battle in the Tokenization Arena: Who Will Take the Lead?

**Banking Titans Battle in Tokenization: Who Leads the Pack?** Four major banks—JPMorgan Chase, Goldman Sachs, HSBC, and BNY Mellon—are heavily investing in tokenization infrastructure but have adopted distinct strategic paths. This analysis compares them across four key dimensions: verified transaction volume, product breadth, regulatory compliance, and underlying infrastructure model. JPMorgan's Onyx network stands out with over $1 trillion in cumulative cleared transaction volume, focusing deeply on niche areas like tokenized collateral management and intraday repo settlement. However, its closed private network limits market reach. Goldman Sachs Digital Assets Platform (GS DAP) leads in product diversity, having executed tokenized bond issuances for sovereign entities and supranational organizations, and launched tokenized money market funds. It is also a founding member of the Canton Network, a shared ledger for institutions, though its overall cleared volume is less publicly disclosed than JPMorgan's. HSBC's Orion platform carves a niche in cross-border tokenized securities and sustainable finance, exemplified by its tokenized gold product and its role in large-scale digital green bond issuances for the Hong Kong Monetary Authority. Its global network provides a unique advantage in Asia and emerging markets. BNY Mellon, as the world's largest custodian, plays a fundamentally different role by providing essential custody and asset servicing infrastructure for digital assets, notably supporting the Canton Network. It does not actively issue front-end tokenized products. In summary, no single bank dominates all fronts. JPMorgan leads in scale, Goldman in product breadth, HSBC in global cross-border positioning, and BNY Mellon in foundational custody services. The market is likely to see multiple parallel development paths. A key future challenge is avoiding fragmentation; the success of interoperability standards like those within Canton Network will be crucial to realizing blockchain's full efficiency gains across the entire financial ecosystem. The next 5-10 years will reveal which institution builds the most enduring competitive moat.

Foresight News06/17 09:13

Banking Giants Battle in the Tokenization Arena: Who Will Take the Lead?

Foresight News06/17 09:13

Focus: Five Leading AI Stocks on Nasdaq

The report analyzes five Nasdaq-listed AI infrastructure stocks—Micron (MU), MaxLinear (MXL), AMD, Lumentum (LITE), and Vicor (VICR)—as distinct plays within the AI capital expenditure chain, rather than a single "AI trade." While all benefit from AI data center spending, they differ in their specific roles (e.g., memory, computing, optics, power, connectivity), financial resilience, and risk profiles. The author argues that the key question is not whether the AI narrative remains intact, but whether capital expenditure translates into real orders, earnings justify valuations, and portfolios can withstand high volatility. Historical data shows these stocks have significantly outperformed benchmarks but also experienced deeper drawdowns (~28% to -32%), highlighting their high-beta, high-volatility nature. An investment framework is proposed: core positions (e.g., MU, AMD) for stocks with stronger fundamental evidence; satellite positions (e.g., LITE, VICR) for high-potential, high-volatility names; and cautious observation (e.g., MXL) for smaller-cap ideas with unproven financials. The emphasis is on disciplined, phased buying during pullbacks—only when price corrections align with intact fundamentals and available risk budget—rather than emotional "buy-the-dip" strategies. Overall, AI infrastructure offers long-term potential, but success requires strict position sizing, role definition for each holding, and preparedness for significant volatility.

marsbit06/17 08:07

Focus: Five Leading AI Stocks on Nasdaq

marsbit06/17 08:07

Will UNI Reach $100 in Four Years? Will Standard Chartered's Prediction Come True?

TL;DR: - According to reports, Standard Chartered Bank has published a research report on Uniswap, setting a 2030 price target of $100 for the UNI token. - The bank's core logic is that the tokenization of assets will drive demand for open DeFi liquidity, and Uniswap could capture significant trading volume and fee revenue. - However, most institutional-grade tokenized products are permissioned, and the example of BlackRock's BUIDL shows that DeFi still faces significant access barriers. Standard Chartered's $100 target for UNI by 2030 is based on the hypothesis that tokenized assets will grow massively and a significant portion will flow into open DeFi markets, requiring decentralized exchange platforms like Uniswap for liquidity. The bank forecasts tokenized assets could reach $4 trillion by 2028, with up to 30% in DeFi by 2030. The key question is whether tokenized assets like treasuries and funds will trade in open, decentralized markets or remain within closed, permissioned institutional systems. This directly impacts Uniswap's potential growth. A real-world example is BlackRock's BUIDL fund, which, while using UniswapX for trading, is strictly limited to pre-approved, whitelisted institutional participants. This highlights the current trend: institutions may leverage DeFi infrastructure but maintain strict control over access and transfers. Furthermore, for UNI's value to rise significantly, Uniswap must establish a clear value-capture mechanism, such as the approved fee switch and token burn proposal. Regulatory and interoperability hurdles also persist, as noted by bodies like the Financial Stability Board. In summary, Standard Chartered's bold prediction hinges on the future flow of tokenized asset liquidity. While it signals institutional recognition of DeFi's potential, the path to $100 depends on overcoming current permissioned models and enabling truly open, cross-asset liquidity pools on platforms like Uniswap.

Foresight News06/17 08:03

Will UNI Reach $100 in Four Years? Will Standard Chartered's Prediction Come True?

Foresight News06/17 08:03

Odaily Editorial Team Tea Talk (June 17)

Odaily Editorial Team Casual Chat (June 17) This is an informal column sharing real-time thoughts from Odaily's editorial team on industry news, data, and events. The content is based on actual investment and observations, does not constitute investment advice, and aims to expand perspectives. Azuma shared recent operations: small-scale buys in crypto (mainly BTC) at relatively high levels, a small addition to HOOD stock, and participation in World Cup prediction markets. He also discussed Hyperliquid, noting that while its token HYPE has performed well, its high price may hinder the expansion of its HIP-3 ecosystem by making market creation cost-prohibitive, potentially limiting the platform to just one major market (trade.xyz). Suzz emphasized the importance of a calm mindset in investing, stating that markets offer perpetual opportunities. He warned against "hindsight bias," where past opportunities seem obvious, and stressed that the present always holds new chances for those with the right knowledge and temperament. Golem analyzed SpaceX's acquisition of AI tool Cursor's parent company, Anysphere, for $60 billion paid entirely in SpaceX stock. He speculated whether Musk's interests might work to keep SpaceX's trading volume and market cap high in the short term to reduce the actual equity cost of the deal, noting current high retail investor enthusiasm. Wenser shared a market outlook: cautiously bullish on BTC, monitoring SpaceX stock post-IPO for a potential rise, observing World Cup trends favoring strong teams, and noting the continued strength of Japanese and Korean stocks. He highlighted Anthropic's potential for a massive future IPO and the defensive investment logic in "picks and shovels" AI infrastructure. Qin Xiaofeng discussed trading HYPE around $56-$70, viewing the $50-$60 range as long-term support due to Hyperliquid's dominance in on-chain traditional asset trading and its substantial fee revenue used to buy back HYPE. On ETH, he noted a divide between disappointed crypto natives and bullish traditional investors like Tom Lee, personally viewing current ETH prices as undervalued.

Odaily星球日报06/17 07:52

Odaily Editorial Team Tea Talk (June 17)

Odaily星球日报06/17 07:52

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