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动荡的芯片市场_我的网站
A | 芯片制造商成为华尔街关注的焦点，其股价本月波动剧烈，投资者寄希望于数十家新晋高估值公司能够贡献标普500指数第二季度近一半的利润增长。 费城半导体指数（.SOX）今年以来一路飙升，反映了美光科技（MU.O）、超微半导体和博通（AVGO.O）等公司的股价大幅上涨。但近来，这个包含30只股票的指数波动性极大。该指数今年迄今已上涨65%，而标普500指数（.SPX）仅上涨9%。
In a report released on Tuesday, the World Bank made an optimistic assessment that artificial intelligence (AI) could allow developing countries to do in a decade what might otherwise take a century. The report found that AI will throw developing economies a lifeline, and that the technology's greatest promise for developing countries lies not in replacing workers, but in amplifying what they can do.
While advanced economies are still debating whether AI will wipe out white-collar jobs, this report serves as a critical reminder that AI is not merely a force that replaces human labor. More importantly, it acts as an amplifier that unlocks growth potential.
For years, many assumed that AI penetration would primarily erode low- and mid-skilled jobs and widen development gaps among economies. Yet for most developing countries still undergoing digital transformation, AI represents far more than a choice between automation and human labor. It provides a cost-effective shortcut to remedy decades of digital infrastructure shortcomings.
Many digital capabilities that once required massive capital investment, systematic infrastructure development and professional talent training can now be realized through open-weight AI tools. This dramatic reduction in technological barriers offers developing countries a rare chance to leapfrog stages of technological iteration and catch up with global development trends.
In China, this "amplification effect" is unfolding in various ways. Over the past few years, new professions built around human-AI collaboration have kept emerging, while the skill sets required for traditional jobs are evolving at a rapid pace.
What matters even more is that China's unique AI development path carries special reference value for other developing countries. China has already integrated AI on a massive scale into core real-life scenarios spanning manufacturing, agriculture, healthcare and education, while continuously driving down the cost of access.
According to CNBC, Chinese built AI models are gaining ground, and they are gaining traction as they narrow the performance gap with leading American rivals while remaining significantly cheaper to use. This model provides the most practical, accessible entry point for developing economies stepping into the AI era, rather than forcing them to chase unattainable, high-end technical standards that are out of their financial and operational reach.
With the rise of Chinese open-source and open-weight models, AI competition between China and the US has become a hot topic in the global technology landscape. Some in the West often frame this as a technological power tussle between two major countries, measured by model parameters, financing scale and semiconductor manufacturing precision. While such indicators reflect technological advancement, one shouldn't overlook the far more fundamental purpose of technology. The ultimate value of any technology lies in its ability to address shared global challenges and deliver tangible public benefits.
Many developing regions are still in the very early stages of digital transformation. Truly meaningful, impactful AI capability is never cutting-edge technology locked away in a laboratory. It is technology that can step out of the lab, root itself in local realities, and deliver inclusive, accessible solutions that help these countries cross the threshold of digital infrastructure at minimal cost. It is about bringing open-weight, user-friendly AI tools into the hands of ordinary people and companies.
When more developing economies are able to use AI as a lever to bridge their long-standing development gaps, the global digital divide will not be further widened by this new round of technological revolution. Instead, it will be gradually narrowed for the first time in decades. From this perspective, the outcome of global AI competition will not be determined by which country first reaches the ceiling of technological sophistication. The real decisive factor is which country can extend technological benefits to the broadest population groups and leverage AI to drive inclusive global growth.
。然而，该指数7月份下跌了18%，当月12个交易日中有一半的波动幅度至少达到或超过3个百分点。 半导体指数周五收盘较6月底创下的历史收盘高点下跌超过20%。 对人工智能芯片需求可持续性的担忧以及半导体行业暴涨暴跌的行情，促使投资者重新评估该板块。业绩应该会很强劲，但这足以打破夏季的低迷吗？如果不足以扭转颓势，考虑到半导体板块的规模，整个市场是否会面临更加动荡的夏季？ “如此庞大的公司股价的每日波动令人震惊，”新泽西州新弗农家族投资公司Cherry Lane Investments的合伙人里克·梅克勒表示，“盈利状况会改变这种局面吗？令人失望的前景当然有可能。” 盈利大幅增长 伦敦证券交易所集团 (LSEG) 盈利研究主管 Tajinder Dhillon 表示，标普 500 指数成分股公司中半导体和半导体设备公司第二季度的盈利预计将比去年同期增长 133%，该板块预计将贡献标普 500 指数成分股公司整体盈利增长的约 44%。 根据 LSEG 上周五的数据，标普 500 指数成分股公司整体盈利预计第二季度将比去年同期增长 26%。 在美国芯片制造商中，英特尔 (INTC.O) 和德州仪器 (TXN.O) 将于本周公布业绩。英伟达 (NVDA.O) 的业绩则要等到 8 月底才会公布。 但上周一些知名公司财报的市场反应表明，市场情绪已经开始转变。
B | 周四，全球最大的芯片代工制造商台积电（2330.TW）在美国上市的股票下跌，尽管该公司第二季度净利润增长了77%，超过了市场预期。 本月初，尽管三星电子公布第二季度营业利润增长19倍，但其股价仍大幅下跌。 审视杠杆的作用 市场观察人士认为，部分原因是SOX及其成分股成为散户投资者的宠儿，并推动了杠杆型交易所交易基金（ETF）的兴起。
C | 杠杆型ETF通过在股价上涨时创造额外的股票需求，并在股价下跌时引发更多抛售，从而放大市场波动。 “推动这些股票价格波动的一个重要因素是散户投资者的期权交易活动。这正是股价波动如此剧烈的重要原因，”梅克勒表示。
D | 韩国金融监管机构周四公布了一系列监管措施，旨在缓解单只杠杆型ETF引发的市场波动。这些与芯片制造商三星电子和SK海力士（000660.KS）挂钩的ETF于5月下旬在韩国推出。 BTIG在最近的一份报告中写道：“半导体行业的表现令人瞩目，但其波动性也同样惊人。
E | ”报告补充说，这引发了一些不祥之兆，“其中许多迹象与2000年3月的峰值相吻合”。 塔尔萨市Longbow Asset Management首席执行官杰克·多拉海德表示，人工智能支出的增长推动了芯片市场的狂热，但人们现在开始担心这种乐观情绪过热。 多拉海德说：“人工智能对芯片的需求不会永远持续下去。”他还表示，在财报季期间，“任何业绩令人失望的公司都将遭受重创。” 芯片制造商长期以来被认为是周期性企业，其兴衰很大程度上取决于全球经济其他领域的活动。人工智能的兴起加剧了这种关联。 亚特兰大Synovus Trust的投资组合经理丹尼尔·摩根表示，乐观情绪的一个原因可能是，推动需求增长的不仅仅是数据中心，工业电子、无线通信和汽车等领域也在发挥作用。“你会看到需求范围正在扩大，”他说。 “我目前唯一看到的持续疲软的领域是手机芯片，”他说道，并指出高通（QCOM.O）就是这些芯片制造商之一。 （来源：编译自路透社） *免责声明：本文由作者原创。文章内容系作者个人观点，半导体行业观察转载仅为了传达一种不同的观点，不代表半导体行业观察对该观点赞同或支持，如果有任何异议，欢迎联系半导体行业观察。
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