【一周靓文】拥抱上海升级,加息恐将持续

火币资讯Published on 2023-04-09Last updated on 2023-04-09

Abstract

一周靓文,回顾过去一周最值得关注的热点文章,帮您快速理解市场动态。

上海升级即将到来

【研报精选】V神:构建开放式多ZK-EVM,今年或将成为ZK大年

V神认为:我们已经有多个强大的ZK-EVM落地,虽然ZK-EVM现在还不能完全替代以太坊,但其中许多正在积极朝着这个方向发展。今年或将成为ZK大年。

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决战以太坊之巅,二层战火全面蔓延

本篇简单梳理Optimism、Arbiturm、Zk-Sync、Starkware、Polygon EVM + Scroll等Layer2的优劣势。

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「上海升级」进入倒计时,ETH潜在抛压解析

上海升级完成或将面临3个阶段的抛压,而现货及衍生品市场数据或许能体现投资者对ETH的信心。

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跟踪宏观变量

【研报精选】下周CPI可能将决定美联储5月是否加息

即将到来的通胀数据是美联储5月会议的最终决定因素。

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【研报精选】寒冬已过?DeFi和NFT数据表明链上开始活跃

Dapp Radar 认为:2023年Q1,加密行业总体情绪转向乐观。DeFi 锁仓总价值(TVL) 已经增加至833 亿美元,NFT交易量重回2022 年第二季度以来的最高水平。

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美国监管来了,加密企业走了

由于缺乏统一的法律框架,加密货币的分类一直是监管机构和行业内的热门话题。

当前态势下,思考如何在合规框架下开展业务即是企业生存的长久之道。

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Related Reads

After R&D Investment Catches Up with the U.S., Is the Sino-U.S. Chip Competition Still Just About Money?

The article examines the significance of recent data showing China's total R&D expenditure, measured by purchasing power parity (PPP), catching up to or slightly surpassing that of the United States in 2024. It argues that while this milestone reflects China's immense capacity to mobilize research resources, the competition in semiconductors now extends far beyond sheer financial input. The analysis highlights key differences: China's R&D is heavily skewed towards experimental development (over 80%), focusing on product engineering and industrialization, whereas the U.S. allocates a proportionally larger share (about 15%) to basic research. Furthermore, leading U.S. semiconductor firms reinvest a significant portion of their substantial global sales revenue into R&D, creating a sustainable commercial innovation cycle that is difficult to replicate. The article emphasizes that semiconductor progress depends on converting R&D into commercially viable products that pass rigorous customer validation and achieve repeat orders, not just on spending levels. It concludes that as China enters the top tier of R&D spenders, the critical challenges shift to improving resource allocation efficiency, fostering long-term basic research, and building effective mechanisms to bridge the gap between laboratory discoveries and reliable, market-ready industrial capabilities.

marsbit18m ago

After R&D Investment Catches Up with the U.S., Is the Sino-U.S. Chip Competition Still Just About Money?

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Top 10% of American Households Capture 88% of Wealth, How Is the AI Era Cake Divided?

AI Worsens Wealth Inequality as Top 10% of US Families Garner 88% of Stock Gains (2019-2026) A report from the China Finance 40 Forum highlights that the AI boom is significantly widening wealth inequality in the United States. From 2019 to Q1 2026, wealth from directly held stocks by US households nearly doubled from $29 trillion to approximately $55 trillion, with rapid growth concentrated post-2023, coinciding with the AI-driven stock market surge. The distribution of these gains has been starkly uneven. Between 2022 and Q1 2026, the wealth increase of about $21 trillion was captured almost entirely by the wealthiest families: the top 10% secured roughly 88% ($18.5 trillion), while the bottom 50% received only about 1% ($0.2 trillion). This has contributed to a growing disparity in disposable income shares. The report, referencing economic historian Robert Allen, draws parallels to historical technological shifts like the "Engels' Pause" during the First Industrial Revolution, where worker wages stagnated despite productivity gains. It suggests AI could induce a similar period where capital收益 outpace labor income, exacerbating inequality. Huang Yiping of Peking University identifies four mechanisms through which AI impacts income distribution: capital-bias (reducing labor's income share), task polarization (hollowing out middle-skill jobs), skill-based digital divides, and wealth amplification through assets. He warns that if this trend continues, strong supply growth driven by AI could be undermined by persistently weak consumer demand, threatening sustainable economic growth. To address these challenges, the report proposes a three-pronged strategy: 1) Defensive measures like strengthening social safety nets and antitrust enforcement; 2) Empowering workers through education reform and lifelong learning to collaborate with AI; and 3) Rebalancing via policies such as potential taxes on AI超额收益 and mechanisms for broader sharing of technology's benefits, ensuring AI's红利 are more equitably distributed.

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Top 10% of American Households Capture 88% of Wealth, How Is the AI Era Cake Divided?

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