The AI Boom Is Running Out of Earth. Here’s Who Benefits.

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Meet Luke Lango Listen to the audio version of this article (generated by AI). For the past two years, we’ve spent a lot of time talking about the AI Boom as a semiconductor story. First, ...

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Here’s Who Benefits.\n</h2>\n\n<h4 class=\"meta\">\n\n\n2026-10-05 20:47 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://investorplace.com/hypergrowthinvesting/2026/10/the-ai-boom-is-running-out-of-earth-heres-who-benefits/><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\n\n \n\n\nListen to the audio version of this article (generated by AI).\nFor the past two years, we’ve spent a lot of time talking about the AI Boom as a semiconductor story.\nFirst, ...</p>\n\n<a href=\"https://investorplace.com/hypergrowthinvesting/2026/10/the-ai-boom-is-running-out-of-earth-heres-who-benefits/\">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/2026/10/the-ai-boom-is-running-out-of-earth-heres-who-benefits/","article_id":"2673700319","we_media_id":null,"thumbnails":[],"rights":{"source":"investorplace_stock_picks","url":"https://investorplace.com/hypergrowthinvesting/2026/10/the-ai-boom-is-running-out-of-earth-heres-who-benefits/","rn_cache_url":null,"directOrigin":true},"url":"https://stock-news.laohu8.com/highlight/detail?id=2673700319","pubTimestamp":1791204420,"columns":[],"sourceInfo":{"source_id":"investorplace_stock_picks","name":"InvestorPlace stock picks"},"weMediaInfo":null,"summary":"The AI infrastructure boom is getting so big that the industry's biggest challenge is increasingly becoming physical scarcity.","collect":0,"end_time":0,"defaultTopTitle":"investorplace.com","property":[],"viewcount":null,"language":"en","relate_stocks":{},"translate_title":"人工智能热潮正在从地球上消失。以下是受益者。","themeId":null,"isJumpTheme":false,"ttsUrl":"https://static.tigerbbs.com/ab61258d9bc2e05d0bc77761a72ecf44","symbols_score_info":{"HBMX":0.6,"OGIG":0.6,"CMAG":0.6,"WUGI":0.6,"AMZO":0.6,"GGLS":0.6,"CHPS":0.6,"MUD":0.6,"EMSF":0.6,"SMU00main":0.6,"AIQ":0.6,"AMZP":0.6,"JGRO":0.6,"AIS":0.6,"TTXU":0.6,"EGGY":0.6,"AIFD":0.6,"TRUC":0.6,"IETC":0.6,"AMZN":1.84,"PTF":0.6,"SMH":0.6,"MULL":0.6,"SHOC":0.6,"LEGR":0.6,"AMZU":0.6,"MIC":0.6,"PSI":0.6,"AMZD":0.6,"IXN":0.6,"SKYY":0.6,"METV":0.6,"RDWU":0.6,"WANT":0.6,"USXF":0.6,"AMZY":0.6,"GOOY":0.6,"GXPC":0.6,"XLK":0.6,"XNTK":0.6,"CLIX":0.6,"VGT":0.66,"GOGL":0.6,"AMZG":0.6,"MU":1.9,"EFIV":0.6,"RDW":1.87,"FTXL":0.6,"ONLN":0.6,"AMAA":0.6,"FXL":0.6,"USAW.SI":0.6,"DISK":0.66,"SNPE":0.6,"XLC":0.6,"FTEC":0.6,"VICR":1.85,"FDTX":0.6,"GOOP":0.6,"GOOGL":1.94,"GOOW":0.6,"RTH":0.6,"FAI":0.6,"MUU":0.6,"LTL":0.6,"VOX":0.6,"AMZW":0.6,"XDAT":0.6,"BOBP":0.6,"CQTM":0.6,"SOXQ":0.6,"AMZZ":0.6,"TRFK":0.6,"BAI":0.6,"SOXX":0.6,"RULE":0.6,"GOOL":0.6,"SAMZNmain":0.6,"GGLL":0.6,"CGGO":0.6,"WLDR":0.6,"MUG":0.6,"ILDR":0.6,"GOU":0.6,"MUYY":0.6,"FCOM":0.6,"HULL":0.6,"MUZ":0.6,"AZYY":0.6,"GOOX":0.6,"CHPX":0.6,"DRMY":0.66},"content_text":"Meet Luke Lango\t\t\n\n\n\n\n\n \n\n\nListen to the audio version of this article (generated by AI).\nFor the past two years, we’ve spent a lot of time talking about the AI Boom as a semiconductor story.\nFirst, the world needed more GPUs.\nThen it needed more memory.\nThen networking.\nThen cooling.\nThen power.\nThen data centers.\nAnd now? Apparently, AI needs space. Literally.\nGoogle (GOOGL, GOOG) has published new research exploring what may sound like science fiction at first glance: putting AI computing infrastructure in orbit. The company’s Project Suncatcher envisions fleets of solar-powered satellites equipped with Google’s Tensor Processing Units, or TPUs, communicating through high-speed optical links and performing machine-learning workloads in space.\nAnd Google isn’t alone.\nRedwire (RDW) recently announced a partnership with Sophia Space to develop orbital data-center infrastructure. Honda is working with Redwire on robotic systems for future commercial space stations. Meanwhile, terrestrial data-center developers are increasingly confronting power shortages, grid constraints, community opposition, and demands for enormous new sources of electricity.\nAt first glance, all these developments look unrelated.\nWe don’t think they are. We think they’re different manifestations of the exact same underlying trend:\nThe AI infrastructure boom is getting so big that the industry’s biggest challenge is increasingly becoming physical scarcity.\nNot a lack of demand. But a lack of everything needed to satisfy that demand. And that has enormous investment implications.\nThe AI Boom Keeps Getting Bigger\nLet’s start with the demand side, because the numbers there have become almost difficult to comprehend.\nBloomberg Intelligence recently raised its forecast for the annual AI accelerator market in 2030 from about $560 billion to $1.4 trillion.\nThat’s a 150% increase.\nThe firm now expects accelerator revenues to grow roughly 38% annually through the end of the decade, with the market approaching $1 trillion as early as 2028. Importantly, that forecast isn’t simply assuming Nvidia keeps selling more expensive GPUs. Bloomberg increased its expected accelerator unit shipments by 50% while also raising its expected blended selling prices by 65%.\nIn other words:\nWe’re going to need far more AI chips, and each AI system is going to contain far more valuable hardware.\nAnd we’re already seeing evidence that demand is outrunning supply.\nAmazon Web Services is raising pricing on reserved GPU capacity by about 15%.\nMicron (MU) just said more than 75% of its fiscal 2027 shipments are already committed, with allocation discussions moving into 2028 and some customer agreements stretching beyond 2030.\nManagement still can’t identify when DRAM supply will catch up with demand.\nAnd Micron is responding by dramatically increasing investment. After spending $27.37 billion in fiscal 2026, its current plans imply more than roughly $50 billion of capex in fiscal 2027.\nMeanwhile, Anthropic has reportedly committed roughly $518 billion to compute and infrastructure over approximately the next decade, with about 80% of those obligations reportedly noncancelable or payable regardless of usage.\nThis doesn’t look like an infrastructure cycle that’s nearing its peak. On the contrary, it looks like the cycle is running into the physical limits of its supply chain.\nPower Is the New Bottleneck\nThe AI Boom started with a chip shortage. But as more accelerators came online, another bottleneck emerged: memory.\nToday’s leading AI systems require enormous amounts of high-bandwidth memory, or HBM, because the chips need to constantly move massive datasets into and out of the processors.\nThat requirement is growing rapidly.\nBloomberg expects HBM contract pricing to rise 70% to 80% in 2027, while next-generation accelerators are incorporating significantly more memory per chip. The result is that memory is becoming an increasingly large portion of the value of an AI system.\nThen comes power delivery.\nVicor (VICR) recently raised its quarterly growth outlook twice in a matter of weeks, most recently to more than 30% sequential revenue growth, specifically because royalties tied to its Vertical Power Delivery technology increased faster than expected.\nWhy?\nBecause supplying enormous amounts of electricity efficiently to increasingly powerful AI processors is itself becoming a valuable technology problem. \nAnd once that problem is solved inside the server, the same issue appears one level higher.\nThe data center needs electricity.\nA lot of it.\nThat’s why Amazon (AMZN) just signed a long-term agreement supporting more than $3 billion of investment at Maryland’s Calvert Cliffs nuclear plant.\nIt’s why governments around the world are rethinking how giant data centers connect to their electricity grids.\nFinland, for example, is considering rules that would prioritize smaller grid connections while requiring certain large electricity users to bring substantially more local generation and flexibility to the system.\nAnd CoreWeave (CRWV) CEO Mike Intrator recently made what we think is one of the most important comments of this entire debate.\nAsked about growing regulatory pushback against data-center development, he said the company has seen “absolutely not” any reduction in orders.\nHis point was simple: Restrictions aren’t reducing demand. Rather, they’re changing where the infrastructure gets built.\nThat is the key.\nAI Infrastructure Is Becoming a Geography Problem\nFor decades, computing became progressively less constrained by geography.\nSoftware moved to the cloud.\nApplications became accessible everywhere.\nData moved instantaneously.\nAI is partially reversing that trend. Because the intelligence may be digital, but the infrastructure producing it is extremely physical.\nA modern AI data center requires chips manufactured in billion-dollar fabs, HBM produced in highly specialized facilities, advanced networking, transformers, cooling equipment, enormous amounts of land, and gigawatts of reliable electricity.\nThose resources aren’t available everywhere. And increasingly, they aren’t available fast enough anywhere.\nSo companies are adapting.\nSome are moving data centers closer to available energy. Some are financing new power generation themselves. Some are pursuing nuclear plants. Some are exploring natural gas. Some are moving infrastructure across national borders.\nAnd now Google is asking an even more radical question: Why build all the AI infrastructure on Earth at all?\nGoogle’s Wild Idea: Put the Data Center in Space\nGoogle’s Project Suncatcher research starts with an observation that is both obvious and surprisingly powerful.\nThe Sun is the largest energy source in the solar system.\nOn Earth, solar generation has to deal with nighttime, weather, land constraints, and the cost of transmitting electricity from where it is generated to where it is consumed.\nIn orbit, sunlight can potentially be accessed much more consistently.\nSo Google researchers are studying a system in which satellites carry TPUs and solar arrays and communicate with one another using free-space optical links.\nThere are obviously enormous engineering challenges.\nLaunch costs.\nHeat dissipation.\nRadiation.\nNetworking.\nServicing.\nReliability.\nBut Google has already begun testing some of the critical assumptions.\nIts researchers found that Trillium TPUs survived radiation exposure equivalent to roughly a five-year mission without permanent failure. And Google’s analysis suggests that if launch costs to low-Earth orbit eventually fall below roughly $200 per kilogram — something its learning-curve analysis suggests may become possible in the mid-2030s — amortized launch costs could become roughly comparable to terrestrial data-center energy costs on a per-kilowatt basis. Pasted text\nWe’re not saying Google is about to replace Virginia data centers with orbital TPU farms next year.\nObviously not.\nThis is a moonshot.\nBut the fact that one of the largest computing companies on Earth is seriously studying this idea tells us something very important about the magnitude of the problem.\nThe industry isn’t searching for less compute.\nIt’s searching for dramatically more places to put it.\nThe Biggest AI Winners May Be the Companies Solving Scarcity\nThis is why we’ve consistently argued that investors shouldn’t think about the AI Boom as simply an Nvidia story. The opportunity keeps broadening.\nFirst there were accelerator winners. Then memory winners. Networking winners. Power-management winners. Equipment winners. Utilities. Nuclear. Data-center developers. And potentially, eventually, space infrastructure.\nThe common thread isn’t any one technology, but scarcity.\nWhenever AI demand runs into a bottleneck, an enormous economic incentive emerges to solve that bottleneck.\nNot enough GPUs? Build more GPUs.\nNot enough memory? Build more fabs.\nNot enough power? Restart nuclear plants.\nNot enough grid capacity? Build generation directly beside the data center.\nNot enough suitable terrestrial infrastructure? Maybe start looking up.\nAnd as AI agents become increasingly capable, these demands should only intensify.\nOpenAI’s Dots and Meta’s (META) Muse point toward a world where AI doesn’t simply answer one prompt and stop. Agents can continue working after users leave, operating browsers, executing code, retrieving information, and performing multistep assignments.\nThat means one human request can trigger dozens (eventually perhaps hundreds) of computational actions.\nMore inference, CPUs, and memory. More networking, storage, and electricity. And, last but not least, more infrastructure.\nThat’s why we remain convinced the AI infrastructure cycle has years left to run. The bottlenecks are evidence of how quickly it’s expanding.\nThe Bigger Picture\nMarkets remain noisy.\nRates are high. Oil remains elevated. And rising Treasury yields keep putting pressure on stock valuations.\nThose forces have kept AI stocks trapped in the tug-of-war we’ve been discussing for months: earnings pulling stocks higher while rates push valuations lower.\nBut underneath that noise, the fundamental AI story continues to strengthen.\nInfrastructure commitments are stretching into the 2030s. Memory supply is tight. Data-center developers are searching for electricity. Nuclear power is attracting renewed interest.\nAnd Google is investigating whether some of the computing should simply leave the planet.\nPut it all together, and a bigger picture emerges.\nThe AI boom’s next chapter may depend on who can build the infrastructure fast enough to keep up.\nMore chips. More power. More computing capacity… potentially even in orbit.\nThat’s where our research is taking us. And it’s why I want you to see what I’m calling “XPANSE.”\nIt centers on an ambitious shift taking shape around Elon Musk’s businesses… one that I believe could connect several of the opportunities we’ve been tracking, from AI infrastructure and advanced manufacturing to the emerging space economy.\nThe question that interests me most is… which companies could get paid to help build it?\nEven the most ambitious vision needs suppliers. Someone has to provide the specialized equipment, critical materials, and essential components that turn an idea into something that works.\nIn my XPANSE presentation, I explain the potential shift, why it matters for America’s technological future, and three steps investors can take to prepare. I also share the name and ticker of an investment positioned to participate, free of charge.\nThe infrastructure constraints we’ve discussed aren’t going away overnight. For the companies that help solve them, that could mean years of opportunity.\nWatch my XPANSE presentation to see where I believe that opportunity is taking shape.\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/2026/10/the-ai-boom-is-running-out-of-earth-heres-who-benefits/.\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"}}}