The Next AI Stock Winners Could Be Hiding in the Bottlenecks

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Sep 29

Meet Luke Lango Listen to the audio version of this article (generated by AI). Pay more. Get less. It’s quite the odd sales pitch. But during the pandemic, car dealers could apparently make it ...

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One of the best stock trading platforms in Singapore.","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.0a0bd8dc.png","ogUrl":"https://sg1.tigeractivity.com/news/2671176312"},"companyName":"Tiger Brokers"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental"},"isCrawlerRequest":true,"__swrFallback__":{"@#url:\"https://stock-news.skytigris.cn/v3/news\",params:#id:\"2671176312\",edition:\"fundamental\",auth_exemption:1,,,undefined,":{"share":"https://ttm.financial/m/news/2671176312?lang=en_US&edition=fundamental","thumbnail":"","is_english":true,"pubTime":"2026-09-29 20:55","share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","id":"2671176312","market":"us","top_or_hot":-1,"title":"The Next AI Stock Winners Could Be Hiding in the Bottlenecks","media":"InvestorPlace","content":"<div>\n<p>Meet Luke Lango\t\t\n\n\n\n\nListen to the audio version of this article (generated by AI).\nPay more. Get less.\nIt’s quite the odd sales pitch. But during the pandemic, car dealers could apparently make it ...</p>\n\n<a href=\"https://investorplace.com/hypergrowthinvesting/2026/09/the-next-ai-stock-winners-could-be-hiding-in-the-bottlenecks/\">Source Link</a>\n\n</div>\n","source":"investorplace_stock_picks","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>The Next AI Stock Winners Could Be Hiding in the Bottlenecks</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\">\nThe Next AI Stock Winners Could Be Hiding in the Bottlenecks\n</h2>\n\n<h4 class=\"meta\">\n\n\n2026-09-29 20:55 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://investorplace.com/hypergrowthinvesting/2026/09/the-next-ai-stock-winners-could-be-hiding-in-the-bottlenecks/><strong>InvestorPlace</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Meet Luke Lango\t\t\n\n\n\n\nListen to the audio version of this article (generated by AI).\nPay more. Get less.\nIt’s quite the odd sales pitch. But during the pandemic, car dealers could apparently make it ...</p>\n\n<a href=\"https://investorplace.com/hypergrowthinvesting/2026/09/the-next-ai-stock-winners-could-be-hiding-in-the-bottlenecks/\">Source Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":null,"symbol_name":null,"start_time":0,"source_url":"https://investorplace.com/hypergrowthinvesting/2026/09/the-next-ai-stock-winners-could-be-hiding-in-the-bottlenecks/","article_id":"2671176312","we_media_id":null,"thumbnails":[],"rights":{"source":"investorplace_stock_picks","url":"https://investorplace.com/hypergrowthinvesting/2026/09/the-next-ai-stock-winners-could-be-hiding-in-the-bottlenecks/","rn_cache_url":null,"directOrigin":true},"url":"https://stock-news.laohu8.com/highlight/detail?id=2671176312","pubTimestamp":1790686500,"columns":[],"sourceInfo":{"source_id":"investorplace_stock_picks","name":"InvestorPlace stock picks"},"weMediaInfo":null,"summary":"Has the AI boom peaked? Luke Lango examines memory shortages, photonics, and money flows to separate promising AI stocks from expensive stories.","collect":0,"end_time":0,"defaultTopTitle":"investorplace.com","property":[],"viewcount":null,"language":"en","relate_stocks":{},"translate_title":"下一个人工智能股票赢家可能隐藏在瓶颈中","themeId":null,"isJumpTheme":false,"ttsUrl":"https://static.tigerbbs.com/c56db9f869a93f1b2c17a35bbb987d14","symbols_score_info":{"DRMY":0.6,"SMHX":0.6,"HBMX":0.6,"FXL":0.6,"BOBP":0.6,"MRVL":1.85,"AIS":0.6,"USXF":0.6,"MULL":0.6,"AIQ":0.6,"JGRO":0.6,"CGGO":0.6,"XNTK":0.6,"GLW":1.85,"SMH":0.6,"EMSF":0.6,"TTXU":0.6,"XLK":0.6,"MUZ":0.6,"EFIV":0.6,"FDTX":0.6,"TRFK":0.6,"LEGR":0.6,"WLDR":0.6,"CHPX":0.6,"SOXQ":0.6,"SHOC":0.6,"IETC":0.6,"FTEC":0.6,"SMU00main":0.6,"MUG":0.6,"CNAV":0.6,"PSI":0.6,"CHPS":0.6,"DISK":0.6,"IXN":0.6,"AIFD":0.6,"SOXY":0.6,"MUD":0.6,"PTF":0.6,"FTXL":0.6,"DTCR":0.6,"MRVX":0.6,"WUGI":0.6,"MU":1.85,"RULE":0.6,"GLWG":0.6,"MIC":0.6,"MUYY":0.6,"VGT":0.65,"MVLL":0.6,"EGGY":0.6,"QQQA":0.6,"GTEK":0.6,"FAI":0.6,"SOXX":0.6,"BAI":0.6,"MRVU":0.6,"MUU":0.6},"content_text":"Meet Luke Lango\t\t\n\n\n\n\nListen to the audio version of this article (generated by AI).\nPay more. Get less.\nIt’s quite the odd sales pitch. But during the pandemic, car dealers could apparently make it work.\nIn our latest episode of Being Exponential with Luke Lango, we’re joined by Money Flows’ Jason Bodner who recalled shopping for a car during the chip shortage. You’d pay a premium for less features. Even a powered tailgate was too much to ask.\nThe automobile industry could build the big, expensive parts. But without enough of the little electronic ones, buyers had to settle.\nThere’s an investing lesson tucked inside that inconvenience somewhere: A component doesn’t have to be glamorous to become valuable. It has to be difficult to replace when everybody needs it.\nWhich brings us to artificial intelligence.\nInvestors spend a great deal of time debating which AI model will be smartest, which assistant will win our loyalty, and whether the whole business has become a bubble.\nAll fair questions. Meanwhile, someone has to supply the memory for those systems and the optical connections that transmit information between chips.\nThat’s where our conversation got interesting.\nI invited Jason and fellow Money Flows co-founder Lucas Downey to defend the AI bull market while I tried to poke holes in it.\nYou heard that right… I took the AI bear case.\nSemiconductors are cyclical. Customers can overspend. A fat backlog today doesn’t guarantee fat profits tomorrow. And investors who mistake peak earnings for permanently higher earnings can discover that a “cheap” stock was actually pretty expensive.\nTheir response centered on rising earnings estimates, supply constraints, and signs of institutional money returning to parts of the AI infrastructure trade.\nLucas singled out photonics — technology that uses light to transmit information — as a potential next major opportunity.\nBut the price chart alone won’t tell you which is happening. A stock can climb sharply and still become cheaper relative to its earnings, if those earnings grow faster. It can also fall sharply without becoming a bargain.\nSo before you decide the AI boom has already made its money, consider the lesson from that car lot.\nThe next opportunity may lie in an essential part that everyone needs.\nIn this episode, we’ll examine where those shortages are emerging, what the money flows suggest, and how to separate businesses delivering profits from stocks selling promises:\n\n\nIs the Semiconductor Boom Nearing Its Peak?\nWe’ve seen semiconductor shortages before.\nDemand surges. Manufacturers expand capacity. Customers stockpile chips because they’re afraid of running out. Eventually, supply catches up, orders slow, and yesterday’s shortage becomes tomorrow’s inventory problem.\nThat’s why a low price-to-earnings ratio can be misleading in this industry. A stock trading at six times earnings looks inexpensive… until those earnings get cut in half.\nI put that argument directly to Lucas and Jason. Several years into the AI infrastructure buildout, why should investors assume this cycle has more room to run?\nTheir answer was that the evidence they follow hasn’t signaled an earnings peak.\nLucas pointed to rising earnings expectations among memory and storage suppliers. Jason emphasized the multiyear demand outlook described by manufacturers and their customers.\nNeither observation abolishes the semiconductor cycle. But both challenge the assumption that its reversal is imminent.\nThe question is whether the conditions that end a boom are actually developing.\nAre customers cutting orders? Are earnings estimates falling? Is new capacity overwhelming demand?\nThose are more useful questions than simply asking how long stocks have been going up.\nIn the discussion, I noted that the expected earnings peak for Micron (MU) had kept moving further into the future as estimates changed. A valuation built around an approaching collapse deserves another look if the business keeps pushing that collapse further away.\nIt also deserves continued scrutiny, as forecasts can change in either direction.\nThe Spending Has to Earn Its Keep\nNow, there’s a second objection: What if the companies buying all this infrastructure eventually decide they aren’t earning enough from it?\nThat’s the harder question.\nA company can announce an enormous spending plan. It can sign contracts, reserve capacity, and promise shareholders that AI will transform its business. Eventually, the economics have to justify the spending.\nI asked whether enterprise demand could persist long enough to support the buildout.\nJason, ever the practical one, described himself as a surfer of money flows, watching the conditions in front of him. His investment process combines institutional trading activity with business fundamentals: sales, earnings, margins, and financial strength.\nThat framework doesn’t settle the ultimate return on every AI investment. It does help distinguish a possible future problem from deterioration already showing up in the data.\nFor investors, that means keeping two ideas in mind: The long-term spending debate remains unresolved, while suppliers can still have substantial opportunities serving demand that exists today.\nIs This the Next AI Bottleneck?\nThat brings us to one of the most interesting parts of the conversation: photonics.\nBuying more powerful processors is only part of building a more capable AI system. Those processors also need to exchange enormous amounts of information.\nImagine expanding a warehouse until it can process twice as many orders while leaving its loading docks unchanged. At some point, moving goods becomes the constraint.\nAI infrastructure faces its own version of that problem.\nPhotonics uses light to transmit information. As computing systems grow, optical connections become increasingly important to moving data efficiently between their components.\nLucas identified this as a potential next major investment theme. We discussed Marvell (MRVL) and Corning (GLW) as two companies with exposure to that buildout.\nMarvell supplies semiconductor technology used in data infrastructure, including optical connectivity. Corning brings fiber and optical communications expertise.\nThey occupy different parts of the system. The investment question is how much growing demand translates into revenue, profits, and durable competitive advantages for each.\nA compelling technology story is the beginning of that analysis.\nShareholders still need the business to capture value, and the purchase price to leave room for a worthwhile return.\nWhich raises another question I pressed during the episode: If the opportunity is so attractive, why had several optical stocks spent months going sideways?\nLucas and Jason pointed to the distinction between business performance and trading pressure.\nThey discussed forced selling, portfolio adjustments, interest rates, and uncertainty as possible explanations for weakness. Their money-flow analysis was aimed at identifying whether institutions were continuing to sell or beginning to return.\nBut selling can occur for reasons unrelated to a company’s operating outlook. A leveraged investor facing a cash demand may sell a good business simply because it can be sold.\nBut investors shouldn’t turn that possibility into a blanket excuse for every falling stock. Sometimes a price decline is warning you about a business problem. The work is to compare the selling with what’s happening to orders, earnings expectations, and competitive positioning.\nHow the AI Winners Could Change\nThere’s also a broader point here that gets lost when investors treat “AI stocks” as one trade.\nThe companies benefiting from this buildout can change.\nWhile critical components remain scarce, suppliers may enjoy stronger pricing power. If those components become cheaper, the companies buying them could benefit from lower costs.\nThat shift would create winners and losers within the AI economy. It wouldn’t automatically end the opportunity to invest in it.\nEventually, the benefits could reach further.\nWe discussed whether businesses outside technology could improve their margins as they learn to apply AI. Technology companies have an obvious head start. Retailers and other consumer businesses may take longer to turn experimentation into measurable results.\nThat potential broadening is worth watching. It still has to show up in the numbers.\nFor now, my takeaway from trying to play the bear is this: The bullish case is strongest when it rests on specific businesses delivering specific results.\nJason warned against paying extravagant prices for companies that have barely begun to monetize their promises. Lucas emphasized opportunities investors may overlook inside the broader AI theme.\nI agree with both.\nYou don’t need to assume every spending commitment will pay off. You do need to distinguish an essential supplier with growing profits from a company whose main asset is an exciting presentation.\nKeep watching earnings revisions. Watch whether shortages persist as capacity expands. Look for evidence that institutional buying is supported by improving fundamentals.\nAnd remain willing to change your mind when those conditions change.\nThe missing tailgate offers a useful starting point. Follow the shortage to the supplier, then follow the supplier’s economics.\nThat’s where the story becomes an investment case.\nWatch the full Being Exponential conversation for our debate on memory, photonics, institutional money flows, and the risks that could change the outlook.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSubmit\n\n\n\n\n\n\n\n Luke Lango\nEditor, Hypergrowth Investing\n\n\nMeet Luke Lango\nBy uncovering early investments in hypergrowth industries, Luke Lango puts you on the ground-floor of world-changing megatrends.\n\n\n\n\n\t\t\t\tLearn more about Luke\t\t\t\n\n\n\n\n\nArticle printed from InvestorPlace Media, https://investorplace.com/hypergrowthinvesting/2026/09/the-next-ai-stock-winners-could-be-hiding-in-the-bottlenecks/.\n©2026 InvestorPlace Media, LLC","kind":"highlight","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":false,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"}}}