Kennyhee personal page - To The Moon

Kennyhee

Kennyhee

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08-04

$GraniteShares 2X Long MRVL Daily ETF(MVLL)$

08-04

$ARM 20260807 187.5 PUT$

08-03

$GOOG 20260821 425.0 CALL$

08-03

$GraniteShares 2X Long INTC Daily ETF(INTW)$

05-28

$SATS(S58.SI)$ fly fly fly

05-27

Sounds so AI written

Why America is losing the AI productivity war to 3.5 million Chinese STEM graduates

2025-10-23

Hard for it to grow any more

2025-10-11

Great article, would you like to share it?

@Enid Bertha:$Tesla Motors(TSLA)$ is ready to soar to the moon!

2025-07-03

$DDOG 20260116 160.0 CALL$ rocket up

2024-09-24

$JD 20240927 30.0 CALL$ shiok, jackpot

2024-08-21

Good day

2024-07-19

Opportunity to buy into Microsoft shares

2021-08-31

$Dingdong (Cayman) Limited(DDL)$https://corpgov.law.harvard.edu/2019/02/04/the-risky-business-of-investing-in-chinese-tech-firms/Since 2019, there are warnings of this happening.

2021-07-29

Ok

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2021-07-23

Chinese tech disappoint

Sorry, the original content has been removed

2021-07-15

Fly fly fly

Sorry, the original content has been removed

2021-07-14

Latest

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2021-07-10

Nice

Sorry, the original content has been removed

2021-06-30

$Dingdong (Cayman) Limited(DDL)$hold and don't sell and we will see $40

2021-06-29

Read and like pls

Sorry, the original content has been removed

Go to Tiger App to see more news

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ETF(MVLL)$","images":[{"img":"https://community-static.tradeup.com/news/11a261be1491c5cf6d6d5c0783d6d172","width":"1048","height":"1813"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/593231590937328","isVote":1,"tweetType":1,"viewCount":59,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":1,"langContent":"EN","totalScore":0},{"id":593184819389384,"gmtCreate":1785846916871,"gmtModify":1785846919194,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/OPT/ARM 20260807 187.5 PUT\">$ARM 20260807 187.5 PUT$ </a>&nbsp;","listText":"<a href=\"https://ttm.financial/OPT/ARM 20260807 187.5 PUT\">$ARM 20260807 187.5 PUT$ </a>&nbsp;","text":"$ARM 20260807 187.5 PUT$","images":[{"img":"https://community-static.tradeup.com/news/9abfa6fac582211a2b090de11cc7e2a0","width":"1048","height":"1731"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/593184819389384","isVote":1,"tweetType":1,"viewCount":126,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":1,"langContent":"EN","totalScore":0},{"id":592858308808848,"gmtCreate":1785765372339,"gmtModify":1785765965787,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/OPT/GOOG 20260821 425.0 CALL\">$GOOG 20260821 425.0 CALL$ </a>&nbsp;","listText":"<a href=\"https://ttm.financial/OPT/GOOG 20260821 425.0 CALL\">$GOOG 20260821 425.0 CALL$ </a>&nbsp;","text":"$GOOG 20260821 425.0 CALL$","images":[{"img":"https://community-static.tradeup.com/news/830d5665a8b2633159eb353da44bfae1","width":"1048","height":"1731"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/592858308808848","isVote":1,"tweetType":1,"viewCount":88,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":1,"langContent":"EN","totalScore":0},{"id":592858099827128,"gmtCreate":1785765318111,"gmtModify":1785765321461,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/INTW\">$GraniteShares 2X Long INTC Daily ETF(INTW)$ </a>&nbsp;","listText":"<a href=\"https://ttm.financial/S/INTW\">$GraniteShares 2X Long INTC Daily ETF(INTW)$ </a>&nbsp;","text":"$GraniteShares 2X Long INTC Daily ETF(INTW)$","images":[{"img":"https://community-static.tradeup.com/news/9b8a7b32fa53737390ad807d89f0cbc7","width":"1048","height":"1772"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/592858099827128","isVote":1,"tweetType":1,"viewCount":158,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":1,"langContent":"EN","totalScore":0},{"id":569036611564584,"gmtCreate":1779931243135,"gmtModify":1779931246536,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/S58.SI\">$SATS(S58.SI)$ </a> fly fly fly&nbsp;","listText":"<a href=\"https://ttm.financial/S/S58.SI\">$SATS(S58.SI)$ </a> fly fly fly&nbsp;","text":"$SATS(S58.SI)$ fly fly fly","images":[{"img":"https://community-static.tradeup.com/news/db992a8e28029ae451eb6f8ee285c8d2","width":"1048","height":"1731"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/569036611564584","isVote":1,"tweetType":1,"viewCount":953,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":1,"langContent":"EN","totalScore":0},{"id":568866383774632,"gmtCreate":1779889605313,"gmtModify":1779889608110,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"Sounds so AI written","listText":"Sounds so AI written","text":"Sounds so AI written","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/568866383774632","repostId":"2638507713","repostType":2,"repost":{"id":"2638507713","kind":"highlight","weMediaInfo":{"introduction":"Dow Jones publishes the world’s most trusted business news and financial information in a variety of media.","home_visible":0,"media_name":"Dow Jones","id":"106","head_image":"https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99"},"pubTimestamp":1779883500,"share":"https://ttm.financial/m/news/2638507713?lang=en_US&edition=fundamental","pubTime":"2026-05-27 20:05","market":"other","language":"en","title":"Why America is losing the AI productivity war to 3.5 million Chinese STEM graduates","url":"https://stock-news.laohu8.com/highlight/detail?id=2638507713","media":"Dow Jones","summary":"Big Tech's structural mistakes are costing stock investors and fueling a massive talent crisis. About 40% of China's university degrees are in science, technology, engineering and mathematics - double the U.S.The United States still leads in private AI investment, but it has not matched that commitment with investment in the human capital needed to sustain it.The hardest thing to manage is change. I wrote that line more than a decade ago in an article about the \"XPocalypse,\" Microsoft's  end-of-life deadline for Windows XP.My argument then was that the real crisis was not obsolete software. It was the shortage of technically literate professionals capable of guiding organizations through inevitable transitions.The organizations most exposed are not simply those using the wrong software. They are those that outsourced technical judgment along with technical execution. They purchased SaaS as a substitute for internal capability, accumulated organizational debt - and now lack the human ca","content":"<font class=\"NormalMinus1\" face=\"Arial\">\n<p>\nMW Why America is losing the AI productivity war to 3.5 million Chinese STEM graduates\n</p>\n<p>\n  By Shane D. Shook \n</p>\n<p>\n     Big Tech's structural mistakes are costing stock investors and fueling a massive talent crisis \n</p>\n<p>\n     About 40% of China's university degrees are in science, technology, engineering and mathematics - double the U.S. \n</p>\n<p>\n     The United States still leads in private AI investment, but it has not matched that commitment with investment in the human capital needed to sustain it. \n</p>\n<p>\n     The hardest thing to manage is change. I wrote that line more than a decade ago in an article about the \"XPocalypse,\" Microsoft's <a href=\"https://laohu8.com/S/MSFT\">$(MSFT)$</a> end-of-life deadline for Windows XP. \n</p>\n<p>\n     My argument then was that the real crisis was not obsolete software. It was the shortage of technically literate professionals capable of guiding organizations through inevitable transitions. \n</p>\n<p>\n     More than a decade later, the names have changed. The lesson has not. \n</p>\n<p>\n     Y2K defined the pattern. The risk was real, but disaster was avoided because skilled people did the work. When nothing happened at midnight as 1999 turned over into 2000, many assumed the threat had been exaggerated - instead of recognizing that it had been successfully managed. \n</p>\n<p>\n     Windows XP became the next version of the same problem. The operating system stayed embedded in retail, banking, healthcare, energy, law enforcement and defense systems long after it should have been retired. The vulnerability was real, but the larger lesson was mostly missed: organizations let technical debt pile up until a deadline turns it into a crisis. \n</p>\n<p>\n     Now we have the \"SaaSpocalypse.\" Headlines warn that agentic AI is breaking the SaaS business model, lowering software valuations and making entire categories of enterprise tools obsolete. Investors are reacting, analysts are talking about \"FOBO\" - fear of becoming obsolete - and organizations are again asking whether they are ready for what comes next. \n</p>\n<p>\n     AI disruption is real. AI agents can now automate workflows that once required dedicated software tools and teams of human operators. The per-seat pricing model that powered two decades of SaaS economics is under pressure. But the apocalyptic framing misdiagnoses the problem. SaaS is not dying. It is bifurcating. \n</p>\n<p>\n     Platforms requiring precision, auditability, complex state management and regulatory accountability, such as financial systems, healthcare records and compliance infrastructure, will remain essential. What is collapsing is the undifferentiated middle - the horizontal tools that AI agents can replicate cheaply and at scale. \n</p>\n<p>\n     The organizations most exposed are not simply those using the wrong software. They are those that outsourced technical judgment along with technical execution. They purchased SaaS as a substitute for internal capability, accumulated organizational debt - and now lack the human capital to navigate a transition that is fundamentally about people and process. \n</p>\n<p>\n     The old taxonomy still applies: people, process and technology. Technology serves business functions. Processes create efficiency. Qualified people sustain both. But the pace of technological change continues to outrun the education system's ability to produce experienced professionals with current skills. \n</p>\n<p>\n     AI has widened that gap. Data engineers now design orchestration infrastructure that determines whether AI produces value or liability. Security practitioners must govern autonomous agents acting on behalf of enterprises. Business leaders need enough technical fluency to make build-versus-buy decisions in a market changing in real time. \n</p>\n<p>\n     The U.S. is still not producing enough people with STEM skills. \n</p>\n<p>\n     These are not narrow technical tasks. They are the applied outputs of serious STEM education grounded in business context, professional standards and sustained practice. The U.S. is still not producing enough people with these skills. \n</p>\n<p>\n     The numbers are sobering. The U.S. now mints fewer than 820,000 STEM graduates annually, representing about 20% of all degrees awarded. In contrast, China produces roughly 3.57 million STEM graduates each year - about 40% of its university degrees. \n</p>\n<p>\n     At the doctoral level, the gap is even wider. In 2000, the United States awarded 17,830 STEM PhDs, compared with China's 7,520. By 2022, China awarded more than 50,970 STEM doctorates, over 50% more than the 33,820 awarded in the U.S. \n</p>\n<p>\n     This matters directly to AI leadership. Countries building the strongest STEM pipelines today are positioning themselves to define the architecture, governance and standards of AI systems tomorrow. \n</p>\n<p>\n     More than a decade ago, I argued that IT must be treated as a profession, not merely a resource. Finance, medicine, law, engineering and accounting all have formal professional pathways, standards and institutional support. Information technology underpins nearly every critical function of modern society, yet still lacks equivalent professional frameworks. \n</p>\n<p>\n     The technology sector has long harvested talent from a pipeline it does not adequately fund, then wondered why the pipeline runs short. \n</p>\n<p>\n     The AI transition makes this more urgent. As AI absorbs routine execution, the humans left in the loop must be more capable. Their role is shifting from implementation to governance, from configuration to architecture, from maintenance to judgment. That requires better preparation, stronger incentives and professional recognition. \n</p>\n<p>\n     The United States still leads in private AI investment, but it has not matched that commitment with investment in the human capital needed to sustain it. China has embedded AI degree programs across more than 500 universities and integrated corporations directly into research and workforce pipelines. India's AI upskilling surge is driven heavily by corporate sponsorship, with employers treating workforce education as strategic investment. The European Union has committed significant public funding to AI talent development and cross-border STEM mobility. \n</p>\n<p>\n     The U.S. has examples worth scaling. North Carolina's AI Academy at NC State, built with more than 100 corporate partners, combines university credentialing with applied workplace training. North Carolina A&amp;T is partnering with <a href=\"https://laohu8.com/S/NVDA\">Nvidia</a> (NVDA) and the Office of Naval Research to expand AI and cybersecurity talent. Texas has committed heavily to doctoral research infrastructure through the Texas Institute for Electronics, linking universities, government and industry around semiconductor and defense technology priorities. \n</p>\n<p>\n     These models show what a national strategy should look like: public investment, corporate sponsorship, university research capacity and continuous pathways from undergraduate study through doctoral work. But they remain exceptions. Corporate PhD fellowships from leading technology companies are valuable, but they are filters, not pipelines. \n</p>\n<p>\n     The technology sector has long harvested talent from a pipeline it does not adequately fund, then wondered why the pipeline runs short. That model is no longer sustainable. Federal and state governments must create the policy environment, including tax incentives, credentialing reform, research funding and visa frameworks, that makes corporate STEM investment structurally attractive rather than reputationally optional. \n</p>\n<p>\n     The SaaSpocalypse will pass, as Y2K and the XPocalypse passed, because capable people will do the work. But the underlying shortage will remain. \n</p>\n<p>\n     What I called for in 2014 still stands: STEM education, paired with business, information management and finance, must become sustained national infrastructure. Not as a reaction to this disruption, but as preparation for the next one. \n</p>\n<p>\n     The hardest thing to manage is change. The next is learning from it. \n</p>\n<p>\n     Shane D. Shook is a venture partner at Forgepoint Capital, an early-stage venture capital firm focused on cybersecurity, artificial intelligence and infrastructure software. \n</p>\n<p>\n     More: Nvidia's on a new path, and if you own an S&amp;P 500 index fund your money is riding on it \n</p>\n<p>\n     Also read: This bear-market signal that Wall Street ignores is putting your money at risk right now \n</p>\n<p>\n     -Shane D. Shook \n</p>\n<p>\n     This content was created by MarketWatch, which is operated by Dow Jones &amp; Co. MarketWatch is published independently from Dow Jones Newswires and The Wall Street Journal. \n</p>\n<pre style=\"white-space: pre\">\n \n</pre>\n<p>\n  (END) Dow Jones Newswires\n</p>\n<p>\n  May 27, 2026 08:05 ET (12:05 GMT)\n</p>\n<p>\n  Copyright (c) 2026 Dow Jones &amp; Company, Inc.\n</p>\n</font>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Why America is losing the AI productivity war to 3.5 million Chinese STEM graduates</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nWhy America is losing the AI productivity war to 3.5 million Chinese STEM graduates\n</h2>\n\n<h4 class=\"meta\">\n\n\n<div class=\"head\" \">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/150f88aa4d182df19190059f4a365e99);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Dow Jones </p>\n<p class=\"h-time\">2026-05-27 20:05</p>\n</div>\n\n</div>\n\n\n</h4>\n\n</header>\n<article>\n<font class=\"NormalMinus1\" face=\"Arial\">\n<p>\nMW Why America is losing the AI productivity war to 3.5 million Chinese STEM graduates\n</p>\n<p>\n  By Shane D. Shook \n</p>\n<p>\n     Big Tech's structural mistakes are costing stock investors and fueling a massive talent crisis \n</p>\n<p>\n     About 40% of China's university degrees are in science, technology, engineering and mathematics - double the U.S. \n</p>\n<p>\n     The United States still leads in private AI investment, but it has not matched that commitment with investment in the human capital needed to sustain it. \n</p>\n<p>\n     The hardest thing to manage is change. I wrote that line more than a decade ago in an article about the \"XPocalypse,\" Microsoft's <a href=\"https://laohu8.com/S/MSFT\">$(MSFT)$</a> end-of-life deadline for Windows XP. \n</p>\n<p>\n     My argument then was that the real crisis was not obsolete software. It was the shortage of technically literate professionals capable of guiding organizations through inevitable transitions. \n</p>\n<p>\n     More than a decade later, the names have changed. The lesson has not. \n</p>\n<p>\n     Y2K defined the pattern. The risk was real, but disaster was avoided because skilled people did the work. When nothing happened at midnight as 1999 turned over into 2000, many assumed the threat had been exaggerated - instead of recognizing that it had been successfully managed. \n</p>\n<p>\n     Windows XP became the next version of the same problem. The operating system stayed embedded in retail, banking, healthcare, energy, law enforcement and defense systems long after it should have been retired. The vulnerability was real, but the larger lesson was mostly missed: organizations let technical debt pile up until a deadline turns it into a crisis. \n</p>\n<p>\n     Now we have the \"SaaSpocalypse.\" Headlines warn that agentic AI is breaking the SaaS business model, lowering software valuations and making entire categories of enterprise tools obsolete. Investors are reacting, analysts are talking about \"FOBO\" - fear of becoming obsolete - and organizations are again asking whether they are ready for what comes next. \n</p>\n<p>\n     AI disruption is real. AI agents can now automate workflows that once required dedicated software tools and teams of human operators. The per-seat pricing model that powered two decades of SaaS economics is under pressure. But the apocalyptic framing misdiagnoses the problem. SaaS is not dying. It is bifurcating. \n</p>\n<p>\n     Platforms requiring precision, auditability, complex state management and regulatory accountability, such as financial systems, healthcare records and compliance infrastructure, will remain essential. What is collapsing is the undifferentiated middle - the horizontal tools that AI agents can replicate cheaply and at scale. \n</p>\n<p>\n     The organizations most exposed are not simply those using the wrong software. They are those that outsourced technical judgment along with technical execution. They purchased SaaS as a substitute for internal capability, accumulated organizational debt - and now lack the human capital to navigate a transition that is fundamentally about people and process. \n</p>\n<p>\n     The old taxonomy still applies: people, process and technology. Technology serves business functions. Processes create efficiency. Qualified people sustain both. But the pace of technological change continues to outrun the education system's ability to produce experienced professionals with current skills. \n</p>\n<p>\n     AI has widened that gap. Data engineers now design orchestration infrastructure that determines whether AI produces value or liability. Security practitioners must govern autonomous agents acting on behalf of enterprises. Business leaders need enough technical fluency to make build-versus-buy decisions in a market changing in real time. \n</p>\n<p>\n     The U.S. is still not producing enough people with STEM skills. \n</p>\n<p>\n     These are not narrow technical tasks. They are the applied outputs of serious STEM education grounded in business context, professional standards and sustained practice. The U.S. is still not producing enough people with these skills. \n</p>\n<p>\n     The numbers are sobering. The U.S. now mints fewer than 820,000 STEM graduates annually, representing about 20% of all degrees awarded. In contrast, China produces roughly 3.57 million STEM graduates each year - about 40% of its university degrees. \n</p>\n<p>\n     At the doctoral level, the gap is even wider. In 2000, the United States awarded 17,830 STEM PhDs, compared with China's 7,520. By 2022, China awarded more than 50,970 STEM doctorates, over 50% more than the 33,820 awarded in the U.S. \n</p>\n<p>\n     This matters directly to AI leadership. Countries building the strongest STEM pipelines today are positioning themselves to define the architecture, governance and standards of AI systems tomorrow. \n</p>\n<p>\n     More than a decade ago, I argued that IT must be treated as a profession, not merely a resource. Finance, medicine, law, engineering and accounting all have formal professional pathways, standards and institutional support. Information technology underpins nearly every critical function of modern society, yet still lacks equivalent professional frameworks. \n</p>\n<p>\n     The technology sector has long harvested talent from a pipeline it does not adequately fund, then wondered why the pipeline runs short. \n</p>\n<p>\n     The AI transition makes this more urgent. As AI absorbs routine execution, the humans left in the loop must be more capable. Their role is shifting from implementation to governance, from configuration to architecture, from maintenance to judgment. That requires better preparation, stronger incentives and professional recognition. \n</p>\n<p>\n     The United States still leads in private AI investment, but it has not matched that commitment with investment in the human capital needed to sustain it. China has embedded AI degree programs across more than 500 universities and integrated corporations directly into research and workforce pipelines. India's AI upskilling surge is driven heavily by corporate sponsorship, with employers treating workforce education as strategic investment. The European Union has committed significant public funding to AI talent development and cross-border STEM mobility. \n</p>\n<p>\n     The U.S. has examples worth scaling. North Carolina's AI Academy at NC State, built with more than 100 corporate partners, combines university credentialing with applied workplace training. North Carolina A&amp;T is partnering with <a href=\"https://laohu8.com/S/NVDA\">Nvidia</a> (NVDA) and the Office of Naval Research to expand AI and cybersecurity talent. Texas has committed heavily to doctoral research infrastructure through the Texas Institute for Electronics, linking universities, government and industry around semiconductor and defense technology priorities. \n</p>\n<p>\n     These models show what a national strategy should look like: public investment, corporate sponsorship, university research capacity and continuous pathways from undergraduate study through doctoral work. But they remain exceptions. Corporate PhD fellowships from leading technology companies are valuable, but they are filters, not pipelines. \n</p>\n<p>\n     The technology sector has long harvested talent from a pipeline it does not adequately fund, then wondered why the pipeline runs short. That model is no longer sustainable. Federal and state governments must create the policy environment, including tax incentives, credentialing reform, research funding and visa frameworks, that makes corporate STEM investment structurally attractive rather than reputationally optional. \n</p>\n<p>\n     The SaaSpocalypse will pass, as Y2K and the XPocalypse passed, because capable people will do the work. But the underlying shortage will remain. \n</p>\n<p>\n     What I called for in 2014 still stands: STEM education, paired with business, information management and finance, must become sustained national infrastructure. Not as a reaction to this disruption, but as preparation for the next one. \n</p>\n<p>\n     The hardest thing to manage is change. The next is learning from it. \n</p>\n<p>\n     Shane D. Shook is a venture partner at Forgepoint Capital, an early-stage venture capital firm focused on cybersecurity, artificial intelligence and infrastructure software. \n</p>\n<p>\n     More: Nvidia's on a new path, and if you own an S&amp;P 500 index fund your money is riding on it \n</p>\n<p>\n     Also read: This bear-market signal that Wall Street ignores is putting your money at risk right now \n</p>\n<p>\n     -Shane D. Shook \n</p>\n<p>\n     This content was created by MarketWatch, which is operated by Dow Jones &amp; Co. MarketWatch is published independently from Dow Jones Newswires and The Wall Street Journal. \n</p>\n<pre style=\"white-space: pre\">\n \n</pre>\n<p>\n  (END) Dow Jones Newswires\n</p>\n<p>\n  May 27, 2026 08:05 ET (12:05 GMT)\n</p>\n<p>\n  Copyright (c) 2026 Dow Jones &amp; Company, Inc.\n</p>\n</font>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"LU2506951958.HKD":"BNP PARIBAS SUSTAINABLE GLOBAL LOW VOL EQUITY \"CRH\" (HKDHDG) INC","LU0784383803.USD":"BGF GLOBAL MULTI-ASSET INCOME FUND \"A\" (USD) INC A","LU1989772923.USD":"CPR Invest - Climate Action A2 Acc USD-H","LU2290526834.HKD":"BGF NEXT GENERATION TECHNOLOGY \"A2\" (HKDHDG) ACC","LU1066051498.USD":"HSBC GIF GLOBAL EQUITY VOLATILITY FOCUSED \"AM2\" (USD) INC","LU2764262908.HKD":"BGF GLOBAL UNCONSTRAINED EQUITY \"A2\" (HKD) ACC","LU2298321311.HKD":"BGF CIRCULAR ECONOMY \"A\" (HKDHDG) ACC","LU0557290698.USD":"施罗德环球可持续增长基金","LU1989764664.SGD":"CPR Invest - Global Disruptive Opportunities A2 Acc SGD-H","LU1815336760.USD":"THREADNEEDLE (LUX) GLOBAL TECHNOLOGY \"AUP\" (USD) INC","LU2023250504.SGD":"Allianz Thematica Cl AMg DIS H2-SGD","SG9999014575.USD":"UOB UNITED INCOME FOCUS TRUST FUND (USDHDG) INC","LU0198837287.USD":"UBS (LUX) EQUITY SICAV - 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Shook \n\n\n     Big Tech's structural mistakes are costing stock investors and fueling a massive talent crisis \n\n\n     About 40% of China's university degrees are in science, technology, engineering and mathematics - double the U.S. \n\n\n     The United States still leads in private AI investment, but it has not matched that commitment with investment in the human capital needed to sustain it. \n\n\n     The hardest thing to manage is change. I wrote that line more than a decade ago in an article about the \"XPocalypse,\" Microsoft's $(MSFT)$ end-of-life deadline for Windows XP. \n\n\n     My argument then was that the real crisis was not obsolete software. It was the shortage of technically literate professionals capable of guiding organizations through inevitable transitions. \n\n\n     More than a decade later, the names have changed. The lesson has not. \n\n\n     Y2K defined the pattern. The risk was real, but disaster was avoided because skilled people did the work. When nothing happened at midnight as 1999 turned over into 2000, many assumed the threat had been exaggerated - instead of recognizing that it had been successfully managed. \n\n\n     Windows XP became the next version of the same problem. The operating system stayed embedded in retail, banking, healthcare, energy, law enforcement and defense systems long after it should have been retired. The vulnerability was real, but the larger lesson was mostly missed: organizations let technical debt pile up until a deadline turns it into a crisis. \n\n\n     Now we have the \"SaaSpocalypse.\" Headlines warn that agentic AI is breaking the SaaS business model, lowering software valuations and making entire categories of enterprise tools obsolete. Investors are reacting, analysts are talking about \"FOBO\" - fear of becoming obsolete - and organizations are again asking whether they are ready for what comes next. \n\n\n     AI disruption is real. AI agents can now automate workflows that once required dedicated software tools and teams of human operators. The per-seat pricing model that powered two decades of SaaS economics is under pressure. But the apocalyptic framing misdiagnoses the problem. SaaS is not dying. It is bifurcating. \n\n\n     Platforms requiring precision, auditability, complex state management and regulatory accountability, such as financial systems, healthcare records and compliance infrastructure, will remain essential. What is collapsing is the undifferentiated middle - the horizontal tools that AI agents can replicate cheaply and at scale. \n\n\n     The organizations most exposed are not simply those using the wrong software. They are those that outsourced technical judgment along with technical execution. They purchased SaaS as a substitute for internal capability, accumulated organizational debt - and now lack the human capital to navigate a transition that is fundamentally about people and process. \n\n\n     The old taxonomy still applies: people, process and technology. Technology serves business functions. Processes create efficiency. Qualified people sustain both. But the pace of technological change continues to outrun the education system's ability to produce experienced professionals with current skills. \n\n\n     AI has widened that gap. Data engineers now design orchestration infrastructure that determines whether AI produces value or liability. Security practitioners must govern autonomous agents acting on behalf of enterprises. Business leaders need enough technical fluency to make build-versus-buy decisions in a market changing in real time. \n\n\n     The U.S. is still not producing enough people with STEM skills. \n\n\n     These are not narrow technical tasks. They are the applied outputs of serious STEM education grounded in business context, professional standards and sustained practice. The U.S. is still not producing enough people with these skills. \n\n\n     The numbers are sobering. The U.S. now mints fewer than 820,000 STEM graduates annually, representing about 20% of all degrees awarded. In contrast, China produces roughly 3.57 million STEM graduates each year - about 40% of its university degrees. \n\n\n     At the doctoral level, the gap is even wider. In 2000, the United States awarded 17,830 STEM PhDs, compared with China's 7,520. By 2022, China awarded more than 50,970 STEM doctorates, over 50% more than the 33,820 awarded in the U.S. \n\n\n     This matters directly to AI leadership. Countries building the strongest STEM pipelines today are positioning themselves to define the architecture, governance and standards of AI systems tomorrow. \n\n\n     More than a decade ago, I argued that IT must be treated as a profession, not merely a resource. Finance, medicine, law, engineering and accounting all have formal professional pathways, standards and institutional support. Information technology underpins nearly every critical function of modern society, yet still lacks equivalent professional frameworks. \n\n\n     The technology sector has long harvested talent from a pipeline it does not adequately fund, then wondered why the pipeline runs short. \n\n\n     The AI transition makes this more urgent. As AI absorbs routine execution, the humans left in the loop must be more capable. Their role is shifting from implementation to governance, from configuration to architecture, from maintenance to judgment. That requires better preparation, stronger incentives and professional recognition. \n\n\n     The United States still leads in private AI investment, but it has not matched that commitment with investment in the human capital needed to sustain it. China has embedded AI degree programs across more than 500 universities and integrated corporations directly into research and workforce pipelines. India's AI upskilling surge is driven heavily by corporate sponsorship, with employers treating workforce education as strategic investment. The European Union has committed significant public funding to AI talent development and cross-border STEM mobility. \n\n\n     The U.S. has examples worth scaling. North Carolina's AI Academy at NC State, built with more than 100 corporate partners, combines university credentialing with applied workplace training. North Carolina A&T is partnering with Nvidia (NVDA) and the Office of Naval Research to expand AI and cybersecurity talent. Texas has committed heavily to doctoral research infrastructure through the Texas Institute for Electronics, linking universities, government and industry around semiconductor and defense technology priorities. \n\n\n     These models show what a national strategy should look like: public investment, corporate sponsorship, university research capacity and continuous pathways from undergraduate study through doctoral work. But they remain exceptions. Corporate PhD fellowships from leading technology companies are valuable, but they are filters, not pipelines. \n\n\n     The technology sector has long harvested talent from a pipeline it does not adequately fund, then wondered why the pipeline runs short. That model is no longer sustainable. Federal and state governments must create the policy environment, including tax incentives, credentialing reform, research funding and visa frameworks, that makes corporate STEM investment structurally attractive rather than reputationally optional. \n\n\n     The SaaSpocalypse will pass, as Y2K and the XPocalypse passed, because capable people will do the work. But the underlying shortage will remain. \n\n\n     What I called for in 2014 still stands: STEM education, paired with business, information management and finance, must become sustained national infrastructure. Not as a reaction to this disruption, but as preparation for the next one. \n\n\n     The hardest thing to manage is change. The next is learning from it. \n\n\n     Shane D. Shook is a venture partner at Forgepoint Capital, an early-stage venture capital firm focused on cybersecurity, artificial intelligence and infrastructure software. \n\n\n     More: Nvidia's on a new path, and if you own an S&P 500 index fund your money is riding on it \n\n\n     Also read: This bear-market signal that Wall Street ignores is putting your money at risk right now \n\n\n     -Shane D. Shook \n\n\n     This content was created by MarketWatch, which is operated by Dow Jones & Co. MarketWatch is published independently from Dow Jones Newswires and The Wall Street Journal. \n\n\n \n\n\n  (END) Dow Jones Newswires\n\n\n  May 27, 2026 08:05 ET (12:05 GMT)\n\n\n  Copyright (c) 2026 Dow Jones & Company, Inc.","news_type":1,"symbols_score_info":{"MSFO":0.6,"NVD3.UK":0.6,"NVDG":0.6,"MSFL":0.6,"NVDS":0.6,"NVD":0.6,"MSFW":0.6,"MSFU":0.6,"07388":0.6,"NVDL":0.6,"MSFD":0.6,"NVYY":0.6,"NVDY":0.6,"DIPS":0.6,"NVDA":1.85,"NVDX":0.6,"NVDW":0.6,"ANV":0.6,"NVD2.UK":0.6,"NVDO":0.6,"MSFX":0.6,"NVII":0.6,"NVDU":0.6,"MSFT":1.85,"SNVD.UK":0.6,"2NVD.UK":0.6,"NVDS.UK":0.6,"NVDQ":0.6,"07788":0.6,"MSFY":0.6,"3NVD.UK":0.6,"NVDB":0.6,"NVDD":0.6,"NVIW.SI":0.6}},"isVote":1,"tweetType":1,"viewCount":920,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":492352133202016,"gmtCreate":1761225717804,"gmtModify":1761225721729,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"Hard for it to grow any more","listText":"Hard for it to grow any more","text":"Hard for it to grow any more","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/492352133202016","isVote":1,"tweetType":1,"viewCount":2559,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":487995505631488,"gmtCreate":1760162804601,"gmtModify":1760162808229,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"Great article, would you like to share it?","listText":"Great article, would you like to share it?","text":"Great article, would you like to share it?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/487995505631488","repostId":"487460650168600","repostType":1,"repost":{"id":487460650168600,"gmtCreate":1760035148000,"gmtModify":1760056531138,"author":{"id":"10000000000010993","authorId":"10000000000010993","name":"Enid Bertha","avatar":"https://static.tigerbbs.com/a539edbf3388702a82cb1d4728704766","crmLevel":1,"crmLevelSwitch":0,"followedFlag":false,"authorIdStr":"10000000000010993","idStr":"10000000000010993"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/S/TSLA\">$Tesla Motors(TSLA)$&nbsp;</a> is ready to soar to the moon!","listText":"<a href=\"https://ttm.financial/S/TSLA\">$Tesla Motors(TSLA)$&nbsp;</a> is ready to soar to the moon!","text":"$Tesla Motors(TSLA)$ is ready to soar to the moon!","images":[{"img":"https://community-static.tradeup.com/news/a17cc32386ed49ae8e31e3d5144ea69e","width":"480","height":"268"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/487460650168600","isVote":1,"tweetType":1,"viewCount":0,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":1,"langContent":"EN","totalScore":0},"isVote":1,"tweetType":1,"viewCount":2382,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":452720224723800,"gmtCreate":1751553041428,"gmtModify":1751553931664,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"<a href=\"https://ttm.financial/OPT/DDOG 20260116 160.0 CALL\">$DDOG 20260116 160.0 CALL$ </a> rocket up&nbsp;","listText":"<a href=\"https://ttm.financial/OPT/DDOG 20260116 160.0 CALL\">$DDOG 20260116 160.0 CALL$ </a> rocket up&nbsp;","text":"$DDOG 20260116 160.0 CALL$ rocket 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</a> shiok, jackpot","text":"$JD 20240927 30.0 CALL$ shiok, jackpot","images":[{"img":"https://community-static.tradeup.com/news/6c9437bfce597354366efbad24c55366","width":"882","height":"1668"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/353006034043000","isVote":1,"tweetType":1,"viewCount":6034,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":1,"langContent":"EN","totalScore":0},{"id":340876351316072,"gmtCreate":1724252708231,"gmtModify":1724252713104,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"Good day&nbsp;","listText":"Good day&nbsp;","text":"Good day","images":[{"img":"https://community-static.tradeup.com/news/7ffbbb490a6a58d8bd110d885f934c90","width":"882","height":"1668"}],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/340876351316072","isVote":1,"tweetType":1,"viewCount":3317,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":1,"langContent":"EN","totalScore":0},{"id":329276652343368,"gmtCreate":1721395426517,"gmtModify":1721395440037,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"Opportunity to buy into Microsoft shares&nbsp;","listText":"Opportunity to buy into Microsoft shares&nbsp;","text":"Opportunity to buy into Microsoft shares","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/329276652343368","isVote":1,"tweetType":1,"viewCount":4216,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":818430310,"gmtCreate":1630423975630,"gmtModify":1676530300920,"author":{"id":"3584371749224835","authorId":"3584371749224835","name":"Kennyhee","avatar":"https://static.tigerbbs.com/30a3ec7f0cc5906c0ee843a7799b4263","crmLevel":12,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3584371749224835","idStr":"3584371749224835"},"themes":[],"title":"","htmlText":"<a href=\"https://laohu8.com/S/DDL\">$Dingdong (Cayman) Limited(DDL)$</a>https://corpgov.law.harvard.edu/2019/02/04/the-risky-business-of-investing-in-chinese-tech-firms/Since 2019, there are warnings of this happening.&nbsp;","listText":"<a href=\"https://laohu8.com/S/DDL\">$Dingdong (Cayman) Limited(DDL)$</a>https://corpgov.law.harvard.edu/2019/02/04/the-risky-business-of-investing-in-chinese-tech-firms/Since 2019, there are warnings of this happening.&nbsp;","text":"$Dingdong (Cayman) Limited(DDL)$https://corpgov.law.harvard.edu/2019/02/04/the-risky-business-of-investing-in-chinese-tech-firms/Since 2019, there are warnings of this 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climb too high&nbsp;","text":"Buy now before it climb too high","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/163136717","repostId":"1118154026","repostType":4,"repost":{"id":"1118154026","kind":"news","weMediaInfo":{"introduction":"Providing stock market headlines, business news, financials and earnings ","home_visible":1,"media_name":"Tiger Newspress","id":"1079075236","head_image":"https://static.tigerbbs.com/8274c5b9d4c2852bfb1c4d6ce16c68ba"},"pubTimestamp":1623850220,"share":"https://ttm.financial/m/news/1118154026?lang=en_US&edition=fundamental","pubTime":"2021-06-16 21:30","market":"us","language":"en","title":"S&P 500 is flat near a record with all eyes on Federal Reserve’s update","url":"https://stock-news.laohu8.com/highlight/detail?id=1118154026","media":"Tiger Newspress","summary":"U.S. stocks were mostly flat on Wednesday ahead of theFederal Reserve’s updateon monetary policy.\nTh","content":"<p>U.S. stocks were mostly flat on Wednesday ahead of theFederal Reserve’s updateon monetary policy.</p> \n<p>The Dow Jones Industrial Average traded 20 points higher. The S&amp;P 500 inched up 0.1%, sitting just a few points below an all-time high reached in the previous session. The tech-heavy Nasdaq Composite edged up 0.2%.</p> \n<p>Large tech shares like Tesla and Nvidia were slightly lower, while shares of economic reopening plays Royal Caribbean and Carnival gained 1% each.</p> \n<p>Stocks pulled back from record levels duringTuesday’s trading session, with the S&amp;P 500 closing 0.2% lower after hitting an all-time intraday high earlier in the day. The Dow slid nearly 100 points and the Nasdaq Composite dipped 0.7% amid weakness in shares of Big Tech.</p> \n<p>The Federal Reserve kicked off its two-day meeting on Tuesday. The central bank is not expected to make any policy moves, but it could signal that it’s beginning to think abouteasing its bond-buying policy. The Fed will also release new forecasts on Wednesday, which could indicate a possible first rate hike penciled in for 2023. Previously, Fed officials hadn’t come to a consensus for a rate hike through 2023.</p> \n<p>The Fed’s statement and forecasts will come out at 2 p.m. ET followed by a press conference by Chairman Jerome Powell 30 minutes later.</p> \n<p>The meeting comes as inflation heats up, with producer prices rising at their fastest annual rate in nearly 11 years duringMay, a report on Tuesday showed. This has prompted some, including Paul Tudor Jones, to call for the central bank to re-think its easy monetary policy.</p> \n<p>\"I still think&nbsp;equities are going higher,\" BlackRock global bond chief&nbsp;Rick Rieder&nbsp;said on CNBC's \"Squawk Box\" on Wednesday.&nbsp;\"If we don't hear anything&nbsp;different, then I worry a little&nbsp;bit about risk&nbsp;the system creates — you can&nbsp;create asset bubbles&nbsp;you can create leverage.&nbsp;We've seen markets that are a&nbsp;little bit concerning with&nbsp;literally zero spread to them&nbsp;for risk assets.\"</p> \n<p>The central bank has been buying $120 billion worth of bonds each month as the economy continues to recover from the coronavirus pandemic.</p> \n<p>\"The drama this week will be whether the Fed sits tight or admits that inflation is rising and that the Fed needs to tighten,\" said Brad McMillan, CIO at Commonwealth Financial Network. \"Since the Fed has a dual mandate—unemployment and inflation—that suggests it should indeed keep its focus on unemployment, rather than inflation.\"</p> \n<p>Minutes from the central bank's last meeting showed that some Fed officials said it could be appropriate to start discussing adjustments to the bond-buying program should the economy continue to recover. Economists predict that while some of these discussions could begin, concrete details will not be revealed until later this year.</p> \n<p>On Wednesday,China said it will release industrial metalsincluding copper, aluminum and zinc from its national reserves to curb commodity prices. Copper price has fallen more than 10% from its record high, dipping into correction territory on Tuesday.</p>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>S&P 500 is flat near a record with all eyes on Federal Reserve’s update</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nS&P 500 is flat near a record with all eyes on Federal Reserve’s update\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1079075236\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/8274c5b9d4c2852bfb1c4d6ce16c68ba);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">Tiger Newspress </p>\n<p class=\"h-time\">2021-06-16 21:30</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<p>U.S. stocks were mostly flat on Wednesday ahead of theFederal Reserve’s updateon monetary policy.</p> \n<p>The Dow Jones Industrial Average traded 20 points higher. The S&amp;P 500 inched up 0.1%, sitting just a few points below an all-time high reached in the previous session. The tech-heavy Nasdaq Composite edged up 0.2%.</p> \n<p>Large tech shares like Tesla and Nvidia were slightly lower, while shares of economic reopening plays Royal Caribbean and Carnival gained 1% each.</p> \n<p>Stocks pulled back from record levels duringTuesday’s trading session, with the S&amp;P 500 closing 0.2% lower after hitting an all-time intraday high earlier in the day. The Dow slid nearly 100 points and the Nasdaq Composite dipped 0.7% amid weakness in shares of Big Tech.</p> \n<p>The Federal Reserve kicked off its two-day meeting on Tuesday. The central bank is not expected to make any policy moves, but it could signal that it’s beginning to think abouteasing its bond-buying policy. The Fed will also release new forecasts on Wednesday, which could indicate a possible first rate hike penciled in for 2023. Previously, Fed officials hadn’t come to a consensus for a rate hike through 2023.</p> \n<p>The Fed’s statement and forecasts will come out at 2 p.m. ET followed by a press conference by Chairman Jerome Powell 30 minutes later.</p> \n<p>The meeting comes as inflation heats up, with producer prices rising at their fastest annual rate in nearly 11 years duringMay, a report on Tuesday showed. This has prompted some, including Paul Tudor Jones, to call for the central bank to re-think its easy monetary policy.</p> \n<p>\"I still think&nbsp;equities are going higher,\" BlackRock global bond chief&nbsp;Rick Rieder&nbsp;said on CNBC's \"Squawk Box\" on Wednesday.&nbsp;\"If we don't hear anything&nbsp;different, then I worry a little&nbsp;bit about risk&nbsp;the system creates — you can&nbsp;create asset bubbles&nbsp;you can create leverage.&nbsp;We've seen markets that are a&nbsp;little bit concerning with&nbsp;literally zero spread to them&nbsp;for risk assets.\"</p> \n<p>The central bank has been buying $120 billion worth of bonds each month as the economy continues to recover from the coronavirus pandemic.</p> \n<p>\"The drama this week will be whether the Fed sits tight or admits that inflation is rising and that the Fed needs to tighten,\" said Brad McMillan, CIO at Commonwealth Financial Network. \"Since the Fed has a dual mandate—unemployment and inflation—that suggests it should indeed keep its focus on unemployment, rather than inflation.\"</p> \n<p>Minutes from the central bank's last meeting showed that some Fed officials said it could be appropriate to start discussing adjustments to the bond-buying program should the economy continue to recover. Economists predict that while some of these discussions could begin, concrete details will not be revealed until later this year.</p> \n<p>On Wednesday,China said it will release industrial metalsincluding copper, aluminum and zinc from its national reserves to curb commodity prices. Copper price has fallen more than 10% from its record high, dipping into correction territory on Tuesday.</p>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{".DJI":"道琼斯",".IXIC":"NASDAQ Composite",".SPX":"S&P 500 Index"},"is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1118154026","content_text":"U.S. stocks were mostly flat on Wednesday ahead of theFederal Reserve’s updateon monetary policy.\nThe Dow Jones Industrial Average traded 20 points higher. The S&P 500 inched up 0.1%, sitting just a few points below an all-time high reached in the previous session. The tech-heavy Nasdaq Composite edged up 0.2%.\nLarge tech shares like Tesla and Nvidia were slightly lower, while shares of economic reopening plays Royal Caribbean and Carnival gained 1% each.\nStocks pulled back from record levels duringTuesday’s trading session, with the S&P 500 closing 0.2% lower after hitting an all-time intraday high earlier in the day. The Dow slid nearly 100 points and the Nasdaq Composite dipped 0.7% amid weakness in shares of Big Tech.\nThe Federal Reserve kicked off its two-day meeting on Tuesday. The central bank is not expected to make any policy moves, but it could signal that it’s beginning to think abouteasing its bond-buying policy. The Fed will also release new forecasts on Wednesday, which could indicate a possible first rate hike penciled in for 2023. Previously, Fed officials hadn’t come to a consensus for a rate hike through 2023.\nThe Fed’s statement and forecasts will come out at 2 p.m. ET followed by a press conference by Chairman Jerome Powell 30 minutes later.\nThe meeting comes as inflation heats up, with producer prices rising at their fastest annual rate in nearly 11 years duringMay, a report on Tuesday showed. This has prompted some, including Paul Tudor Jones, to call for the central bank to re-think its easy monetary policy.\n\"I still think equities are going higher,\" BlackRock global bond chief Rick Rieder said on CNBC's \"Squawk Box\" on Wednesday. \"If we don't hear anything different, then I worry a little bit about risk the system creates — you can create asset bubbles you can create leverage. We've seen markets that are a little bit concerning with literally zero spread to them for risk assets.\"\nThe central bank has been buying $120 billion worth of bonds each month as the economy continues to recover from the coronavirus pandemic.\n\"The drama this week will be whether the Fed sits tight or admits that inflation is rising and that the Fed needs to tighten,\" said Brad McMillan, CIO at Commonwealth Financial Network. \"Since the Fed has a dual mandate—unemployment and inflation—that suggests it should indeed keep its focus on unemployment, rather than inflation.\"\nMinutes from the central bank's last meeting showed that some Fed officials said it could be appropriate to start discussing adjustments to the bond-buying program should the economy continue to recover. Economists predict that while some of these discussions could begin, concrete details will not be revealed until later this year.\nOn Wednesday,China said it will release industrial metalsincluding copper, aluminum and zinc from its national reserves to curb commodity prices. Copper price has fallen more than 10% from its record high, dipping into correction territory on Tuesday.","news_type":1,"symbols_score_info":{".DJI":0.9,".SPX":0.9,".IXIC":0.9}},"isVote":1,"tweetType":1,"viewCount":1182,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"lives":[]}