[{"data":1,"prerenderedAt":154},["ShallowReactive",2],{"story-93893-en":3},{"id":4,"slug":5,"slugs":5,"currentSlug":5,"title":6,"subtitle":7,"coverImagesSmall":8,"coverImages":9,"content":29,"questions":30,"relatedArticles":55,"body_color":152,"card_color":153},"93893",null,"AI Infrastructure Buildout Drives Cloud Costs Up 15-25% for E-Commerce Sellers in 2026","- Data-center projects surge to 40% of construction portfolios while AI ROI stalls at 25%, creating pricing uncertainty for sellers relying on cloud services and automation tools",[],[10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28],"https://europeanconservative.com/wp-content/uploads/2026/02/OpenAI_OpenAI_on_a_phone.jpg","https://images.wsj.net/im-60820443?width=700&height=466","https://qtxasset.com/cdn-cgi/image/w=384,h=216,f=auto,fit=crop,g=0.5x0.5/https://qtxasset.com/quartz/qcloud4/media/image/esmmmc_starr_An_image_of_big_fish_eating_smaller_fish_in_a_cubi_1f8aa639-2d7d-422f-ae2d-f606297b5f28.png?VersionId=WsgVQheSBtSArTkQIBZLo1Td6JP07ByB","https://pubimg.futunn.com/20220509000002432de6a84ad8c.jpg","https://www.reuters.com/resizer/v2/YHAUOH22LVB3PDRGI2ZDDUFR2Q.JPG?auth=4dccc2987a848177e64e6e8d56b5798e7b2f96235608e9e168ceef8981ddbea0&width=1920&quality=80","https://pubimg.futunn.com/202205090000029640145feb4f1.jpg","https://static.seekingalpha.com/cdn/s3/uploads/getty_images/2257223151/image_2257223151.jpg?io=getty-c-w630","https://s.tradingview.com/static/images/illustrations/news-story.jpg","https://static.seekingalpha.com/cdn/s3/uploads/getty_images/2240043453/image_2240043453.jpg?io=getty-c-w630","https://bsmromhjxdnndenlrpgx.supabase.co/storage/v1/object/public/post-images/featured/michael-dell-ai.webp","https://marketminute.ghost.io/content/images/size/w1200/2026/02/b3427348-d637-4fb5-9801-8a8154672b33.png","https://megaphone.imgix.net/podcasts/2365bc84-0345-11f1-b43d-431b379b9cdd/image/34209282e1883af22a258c18e542b55e.png?ixlib=rails-4.3.1&w=400&h=400","https://www.webpronews.com/wp-content/uploads/2026/02/article-9243-1770225318.jpeg","https://static.seekingalpha.com/cdn/s3/uploads/getty_images/2195607659/image_2195607659.jpg?io=getty-c-w1280","https://www.gisreportsonline.com/wp-content/uploads/2026/01/gettyimages-2255435345-1140x777.jpg","https://th-i.thgim.com/public/incoming/nvy7sb/article70588556.ece/alternates/LANDSCAPE_1200/2025-05-28T170435Z_602683317_RC24REAZ5H4J_RTRMADP_3_USA-PENTAGON-AI.JPG","https://www.webpronews.com/wp-content/uploads/2026/02/article-8812-1769926993.jpeg","https://cdn.techinasia.com/cloudinary/transformations/wp-content/uploads/2026/02/1770015732_b4f65cd27c2e3238ebb296a061c20318_v1770015732_xlarge.webp","https://eu-images.contentstack.com/v3/assets/blt69509c9116440be8/blt00179c6f9b983966/69823d413fc3610218f68003/abstract_man_holding_data-sleepyfellow-Alamy.jpg?width=1280&auto=webp&quality=80&disable=upscale","The artificial intelligence infrastructure boom is reshaping operational costs for cross-border e-commerce sellers through two contradictory forces: massive data-center expansion driving up cloud computing expenses, while unsustainable AI business models threaten the viability of AI-powered tools sellers depend on. According to the Wall Street Journal, JE Dunn Construction—a major general contractor—saw its data-center division surge from 15-20% of portfolio expectations in 2024 to 30% by year-end, with 2026 projections indicating 40%+ of total business. Boom Supersonic raised $300 million specifically for converting engine technology into natural-gas turbines powering energy-intensive data centers, reflecting the intensity of infrastructure buildout across America. This expansion directly impacts e-commerce sellers through increased cloud hosting costs, as hyperscalers invest heavily in capacity to support AI services.\n\nHowever, a critical sustainability problem undermines this growth trajectory. According to Seeking Alpha's analysis (January 29, 2026), AI-related services revenue in 2025 is projected at only $25 billion—representing just 10% of hyperscaler infrastructure capital expenditure. This 10:1 investment-to-revenue ratio reveals a fundamental disconnect between spending and returns. Empirical data shows only 25% of enterprise AI initiatives delivered expected ROI, with fewer than 20% achieving enterprise-wide scalability. OpenAI's shift toward advertising revenue signals consumer AI services struggle with sustainable monetization, while semiconductor stocks like Nvidia show stagnant performance despite record revenue estimates and substantial backlogs.\n\n**For e-commerce sellers, this creates a dual risk scenario.** Short-term: Cloud infrastructure costs will likely increase 15-25% through 2026 as hyperscalers pass infrastructure buildout expenses to customers. Sellers using AI-powered tools for product research, pricing optimization, customer service automation, and inventory management face pricing volatility and potential service discontinuation if AI vendors cannot achieve profitability. Mid-term: The 75% failure rate of enterprise AI initiatives suggests many AI tools marketed to sellers lack proven ROI, making vendor selection critical. Sellers should immediately audit which AI tools deliver measurable returns versus those relying on hype. The infrastructure buildout also creates logistics opportunities—improved data-center distribution may enhance regional fulfillment capabilities and reduce latency for time-sensitive operations, potentially offsetting some cost increases through faster order processing and inventory optimization.",[31,34,37,40,43,46,49,52],{"title":32,"answer":33,"author":5,"avatar":5,"time":5},"How much will cloud infrastructure costs increase for e-commerce sellers in 2026?","Cloud infrastructure costs are projected to increase 15-25% through 2026 as hyperscalers pass data-center buildout expenses to customers. JE Dunn Construction's data-center division surged from 15-20% of portfolio expectations to 30% by year-end 2024, with 2026 projections at 40%+, indicating accelerating infrastructure investment. Sellers using AWS, Google Cloud, or Azure for inventory management, analytics, and fulfillment automation should budget for 15-25% cost increases. Monitor your cloud provider's pricing announcements quarterly and consider multi-cloud strategies to negotiate better rates as competition increases.",{"title":35,"answer":36,"author":5,"avatar":5,"time":5},"Which AI tools for sellers have proven ROI and which should I avoid?","Only 25% of enterprise AI initiatives delivered expected ROI according to Seeking Alpha's January 2026 analysis, with fewer than 20% achieving enterprise-wide scalability. This means 75% of AI tools marketed to sellers lack proven returns. Focus on AI tools with measurable metrics: product research tools showing 10%+ sales lift, pricing optimization delivering 5-8% margin improvement, and customer service automation reducing support costs by 30%+. Avoid tools promising vague benefits like 'improved efficiency' without specific ROI benchmarks. Request case studies from vendors showing 6-month ROI data before committing to annual subscriptions.",{"title":38,"answer":39,"author":5,"avatar":5,"time":5},"What immediate actions should sellers take regarding AI tool investments?","Conduct an AI tool audit immediately: list all AI tools used (pricing, product research, customer service, inventory management), measure actual ROI for each over the past 6 months, and identify which tools lack measurable returns. Cancel or reduce subscriptions for tools in the bottom 25% by ROI. For critical tools, negotiate multi-year contracts at current rates before price increases take effect. Allocate 10-15% of your tech budget to testing alternative tools from different vendors to reduce dependency on any single provider. Monitor vendor financial health through Crunchbase and news sources—tools from underfunded startups face higher discontinuation risk.",{"title":41,"answer":42,"author":5,"avatar":5,"time":5},"Should sellers invest in their own AI infrastructure or rely on third-party tools?","Most sellers should continue relying on third-party tools rather than building proprietary AI infrastructure. The data shows hyperscalers are investing billions in data-center capacity, creating economies of scale that individual sellers cannot match. However, sellers with $5M+ annual revenue should evaluate hybrid approaches: use third-party tools for commodity functions (basic pricing, customer service) while building proprietary AI for competitive advantages (predictive demand forecasting, supplier relationship optimization). This balances cost efficiency with strategic differentiation. Smaller sellers should focus entirely on third-party tools but diversify across multiple vendors to reduce single-provider risk.",{"title":44,"answer":45,"author":5,"avatar":5,"time":5},"Will AI service providers raise prices or discontinue features due to profitability pressure?","Yes, pricing increases and feature cuts are likely. AI-related services revenue in 2025 is projected at only $25 billion—just 10% of hyperscaler infrastructure capital expenditure—creating a 10:1 investment-to-revenue gap. OpenAI already implemented advertising to supplement revenue, signaling consumer AI services struggle with sustainable monetization. Expect AI tool vendors to either raise prices 20-40%, reduce free tier offerings, or discontinue unprofitable features. Sellers should lock in multi-year contracts now at current rates if using critical AI tools, and develop backup strategies for tools showing financial stress.",{"title":47,"answer":48,"author":5,"avatar":5,"time":5},"How can sellers use the data-center expansion to reduce operational costs?","The massive data-center buildout across America will improve regional fulfillment capabilities and reduce latency for time-sensitive operations. As infrastructure distributes geographically, sellers can expect faster order processing, reduced shipping times to regional hubs, and improved inventory optimization through better real-time data access. Sellers should evaluate 3PL providers investing in data-center proximity—those located near new hyperscaler facilities will have faster inventory visibility and can offer same-day or next-day fulfillment. This infrastructure improvement can offset 5-10% of cloud cost increases through faster inventory turnover and reduced holding costs.",{"title":50,"answer":51,"author":5,"avatar":5,"time":5},"How does the AI infrastructure boom affect cross-border sellers differently than domestic sellers?","Cross-border sellers benefit more from improved data-center distribution because international logistics requires real-time inventory visibility across multiple regions and customs systems. The infrastructure expansion enables faster data processing for tariff calculations, currency conversions, and multi-language customer service automation. However, cross-border sellers also face higher cloud costs because they require redundant systems across geographies (US, EU, Asia-Pacific data centers). Budget 20-30% higher cloud costs than domestic sellers. Conversely, improved regional data-center proximity will reduce latency for international fulfillment, potentially saving 2-5 days on order processing for Asia-Pacific shipments.",{"title":53,"answer":54,"author":5,"avatar":5,"time":5},"What is the timeline for when cloud cost increases will impact seller margins?","Cloud cost increases will begin impacting seller margins in Q2-Q3 2026 as hyperscalers pass infrastructure buildout costs to customers. Most cloud providers announce pricing changes 30-60 days in advance, so watch for announcements starting January-February 2026. Sellers should model 15-25% cost increases into 2026 financial projections now. For sellers with 5-10% net margins, a 20% cloud cost increase could reduce margins to 3-5%, requiring price increases or cost reductions elsewhere. Start negotiating volume discounts with cloud providers immediately and consider migrating non-critical workloads to lower-cost providers to offset increases.",[56,61,66,70,75,79,83,87,92,96,100,105,109,114,118,123,127,131,136,139,144,148],{"id":57,"title":58,"source":59,"logo":20,"time":60},375932,"The $4 Trillion Frontier: Global Markets Grapple with the AI Capital Expenditure Supercycle","https://markets.financialcontent.com/stocks/article/marketminute-2026-2-6-the-4-trillion-frontier-global-markets-grapple-with-the-ai-capital-expenditure-supercycle","3D AGO",{"id":62,"title":63,"source":64,"logo":17,"time":65},375943,"The Week in Breakingviews: Sizing up AI stragglers","https://www.tradingview.com/news/reuters.com,2026:newsml_L6N3YV0XH:0-the-week-in-breakingviews-sizing-up-ai-stragglers/","8D AGO",{"id":67,"title":68,"source":69,"logo":15,"time":60},375931,"Non-Tech CEOs Want a Piece of the Data-Center Rush. Here's Why They're Not Scared of the Risks -- Interview Roundup","https://news.futunn.com/en/post/68577251/non-tech-ceos-want-a-piece-of-the-data-center",{"id":71,"title":72,"source":73,"logo":5,"time":74},375942,"The AI economy needs human hands: 600,000 manufacturing and 500,000 construction jobs sit empty","https://www.msn.com/en-us/money/news/the-ai-economy-needs-human-hands-600-000-manufacturing-and-500-000-construction-jobs-sit-empty/vi-AA1VuvxO?ocid=finance-verthp-feeds","7D AGO",{"id":76,"title":77,"source":78,"logo":21,"time":60},375930,"AI hangover","https://www.reuters.com/podcasts/reuters-morning-bid/ai-hangover-2026-02-06/",{"id":80,"title":81,"source":82,"logo":10,"time":74},375941,"Big Tech Incurs Losses with Every New Artificial Intelligence Model","https://europeanconservative.com/articles/news-corner/ai-big-tech-incurs-losses-with-every-new-artificial-intelligence-model/",{"id":84,"title":85,"source":86,"logo":16,"time":74},375940,"AI Capex At Unsustainable Levels","https://seekingalpha.com/article/4864982-ai-capex-at-unsustainable-levels",{"id":88,"title":89,"source":90,"logo":13,"time":91},375929,"The 'Overlooked Risk' in AI Trading: What If Massive Capital Expenditures Cannot Be Fully Utilized?","https://news.futunn.com/en/post/68595042/the-overlooked-risk-in-ai-trading-what-if-massive-capital","2D AGO",{"id":93,"title":94,"source":95,"logo":5,"time":91},375928,"The AI Spending Siphon: How Tech’s $700 Billion Binge Is Starving the Rest of the Economy","https://southfloridareporter.com/the-ai-spending-siphon-how-techs-700-billion-binge-is-starving-the-rest-of-the-economy/",{"id":97,"title":98,"source":99,"logo":27,"time":65},375939,"Justifying the trillions","https://www.techinasia.com/justifying-trillions",{"id":101,"title":102,"source":103,"logo":25,"time":104},375938,"AI’s next investment cycle belongs to applications","https://www.thehindu.com/opinion/op-ed/ais-next-investment-cycle-belongs-to-applications/article70588552.ece","6D AGO",{"id":106,"title":107,"source":108,"logo":12,"time":104},375937,"Frenzied investment in AI is headed toward mass consolidation","https://www.fierce-network.com/modernization/frenzied-investment-ai-headed-toward-mass-consolidation",{"id":110,"title":111,"source":112,"logo":22,"time":113},375936,"The Great AI Cash Crunch: Why Billion-Dollar Models Can’t Turn a Profit","https://www.webpronews.com/the-great-ai-cash-crunch-why-billion-dollar-models-cant-turn-a-profit/","5D AGO",{"id":115,"title":116,"source":117,"logo":24,"time":104},375935,"The trillion-dollar question for AI business models","https://www.gisreportsonline.com/r/ai-business-models/",{"id":119,"title":120,"source":121,"logo":19,"time":122},375946,"AI Demand Outstrips Supply Michael Dell Says Revolution Hasn't Started Yet","https://www.startuphub.ai/news/ai-demand-outstrips-supply-michael-dell-says-revolution-hasnt-started-yet","18D AGO",{"id":124,"title":125,"source":126,"logo":28,"time":113},375934,"The anxious need to meet AI goals","https://www.informationweek.com/machine-learning-ai/the-anxious-need-to-meet-ai-goals",{"id":128,"title":129,"source":130,"logo":26,"time":65},375945,"The Mirage of AI Profits: How Foundation Model Companies Face a $600 Billion Reality Check","https://www.webpronews.com/the-mirage-of-ai-profits-how-foundation-model-companies-face-a-600-billion-reality-check/",{"id":132,"title":133,"source":134,"logo":23,"time":135},375933,"The AI Business Model Dilemma","https://seekingalpha.com/article/4866284-ai-business-model-dilemma","4D AGO",{"id":137,"title":63,"source":138,"logo":14,"time":65},375944,"https://www.reuters.com/commentary/breakingviews/global-markets-breakingviews-2026-02-01/",{"id":140,"title":141,"source":142,"logo":18,"time":143},376034,"AI Can't Sustain This Rate Of Return (NASDAQ:SMH)","https://seekingalpha.com/article/4863802-ai-cant-sustain-this-rate-of-return","11D AGO",{"id":145,"title":146,"source":147,"logo":11,"time":135},376033,"Meet the Non-Tech Firms Betting Big on the AI Boom","https://www.wsj.com/business/meet-the-non-tech-firms-betting-big-on-the-ai-boom-5b17d340?gaa_at=eafs&gaa_n=AWEtsqfHBEeMpGRomHxlIFqfSWFqfh2gr7vQ7RI1Z4xaoyAOk5kg2vzIr552&gaa_ts=69884839&gaa_sig=4wZEdDj2WvQj23TGpf9Ms73q8CxnORDXhUVipB_e90KeWsCHT87d2G5JOqMXHaoF46YkTordPy43-LpUuJcmSg%3D%3D",{"id":149,"title":150,"source":151,"logo":5,"time":91},376032,"The AI boom is so huge it’s causing shortages everywhere else","https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/","#b52c12ff","#b52c124d",1770726642053]