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#沃什今晚亮相杰克逊霍尔,能否明确政策框架?
沃什杰克逊霍尔首秀落地,调子比市场预想的偏鹰。
作为上任后首次杰克逊霍尔主旨演讲,核心表态很明确:以PCE衡量的2%通胀目标“坚定且不可动摇”,近期通胀数据好于预期,并不代表基础趋势出现有意义改善,美联储当前首要关注点就是物价。
最关键的一句:“必须确信基础通胀正清晰、足够快地向目标回落,否则我们还有工作要做”,等于直接给后续加息留了口子。同时他重申短期利率是主要政策工具,非常规政策仅适用于真正的危机,继续为放弃前瞻指引的做法辩护,维持“看数据行事”的沟通风格。
市场反应很快:讲话发布后现货黄金短线跳水,美元指数拉升,美债收益率走高。此前市场对政策放缓存在期待,眼下鹰派底线已经划明。
加密市场同步反应,比特币刚走完64亿美元期权交割,$BTC 在8万附近窄幅横盘,沃什讲话后波动确实放大,但并未有效跌破7万8的日内强支撑;$ETH 在2500关口附近震荡,风险资产整体进入政策信号消化期。
这次没给明确加息时间表,但把“通胀不降就动手”的底线亮出来了,9月FOMC的加息预期大概率上修,接下来的通胀数据权重会更高。$BTC
#财报观察员:AI demand spreads from hardware to software Over the past two years, the AI market has been almost entirely supported by the hardware chain—NVIDIA GPUs on the computing side have been in short supply, data center business surged 117%; storage side exploded simultaneously, Micron's AI data center business grew over 6 times year-on-year with gross margin exceeding 80%, SK Hynix's HBM4 shipments scaled massively with operating profit up 557% year-on-year, SanDisk's data center business increased 64% quarter-on-quarter, continuously exceeding expectations. Market pricing has been fully concentrated on computing infrastructure, while the software side has long been burdened with doubts of "burning money and difficulty monetizing," with valuations under continuous pressure.
This year's Q2 earnings reports are breaking this pattern. Hardware remains strong, but the collective breakout on the software side is even more noteworthy: Microsoft's Copilot paid seats surpassed 30 million, Azure AI continues to drive cloud revenue; Salesforce and CrowdStrike earnings exceeded expectations, with stock prices rising over 20% in a single day; Snowflake and MongoDB AI-related order growth far exceeded market expectations.
The underlying logic is clear: AI large models are moving from "demo-level" to "production-level." In the past two years, the entire industry "bought computing power and built infrastructure," benefiting computing and storage hardware first; now that the computing foundation is gradually taking shape, enterprises are starting to purchase AI applications, data governance, and other software tools to convert computing power into actual output, with industry chain profits passing downstream.
The market is voting with its feet; the previous AI hardware-only rally is shifting, the software sector is seeing valuation recovery, and the AI industry is officially entering a full-chain diffusion stage from a single-point breakout.
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