{"id":57318,"date":"2026-09-14T11:28:26","date_gmt":"2026-09-14T03:28:26","guid":{"rendered":"https:\/\/www.1ai.net\/?p=57318"},"modified":"2026-09-14T11:28:26","modified_gmt":"2026-09-14T03:28:26","slug":"%e9%bb%84%e4%bb%81%e5%8b%8b%e9%87%8d%e7%94%b3%ef%bc%9a2030-%e5%b9%b4%e5%85%a8%e7%90%83-ai-%e5%9f%ba%e7%a1%80%e8%ae%be%e6%96%bd%e5%b9%b4%e6%94%af%e5%87%ba%e5%b0%86%e8%be%be-3-%e4%b8%87%e4%ba%bf","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/57318.html","title":{"rendered":"WONG IN-HOON REITERATES THAT GLOBAL AI ANNUAL SPENDING ON INFRASTRUCTURE IN 2030 WILL BE BETWEEN $3 TRILLION AND $4 TRILLION"},"content":{"rendered":"<p>SEPTEMBER 14TH <a href=\"https:\/\/www.1ai.net\/en\/tag\/%e9%bb%84%e4%bb%81%e5%8b%8b\" title=\"Look at the article with the label\" target=\"_blank\" >Jen-Hsun Huang<\/a>On September 10, at Goldmanacopia + Technology Conference, the world was reaffirmed <a href=\"https:\/\/www.1ai.net\/en\/tag\/ai\" title=\"[View articles tagged with [AI]]\" target=\"_blank\" >AI<\/a> <a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%9f%ba%e7%a1%80%e8%ae%be%e6%96%bd\" title=\"[Sees articles with [infrastructure] labels]\" target=\"_blank\" >Infrastructure<\/a>Annual expenditure is projected to reach between $3 trillion and $4 trillion in 2030. In his view, the calculations were moving from retrieving existing information to producing answers in real time, slowing down the Jamour law and requiring integrated and synergistic design of chips, whole machines and data centres\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-57319\" title=\"186a7121jlc49y00hpd000ufrm\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/09\/186a7121j00tlc49y00hpd000u000frm.jpg\" alt=\"186a7121jlc49y00hpd000ufrm\" width=\"1080\" height=\"567\" \/><\/p>\n<p>WONG IN-HOON STATED THAT THE SUPPLY CONSTRAINTS OF AI INFRASTRUCTURE WERE BOTH UPSTREAM AND DOWNSTREAM: ADVANCED SEALS, DRAM, LPDDR MEMORY, CONNECTORS, VOLTAGE REGULATORS AND CRYSTAL CIRCLES WERE UNDER PRESSURE, AND THERE WERE GAPS IN THE LAND, ELECTRICITY AND PLANT NEEDED FOR DATA CENTRES. WEEDA IS EXPANDING DELIVERY CHANNELS THROUGH CLOUD SERVICE PROVIDERS, OEM, THE SOVEREIGN AI PROJECT AND NEW CLOUD MANUFACTURERS, AND IS TRACKING PROGRESS IN THE CONSTRUCTION OF DATA CENTRE PROJECTS AT VARIOUS LOCATIONS\u3002<\/p>\n<p>WITH REGARD TO MARKET CHALLENGES TO THE INVESTMENT CLIENTS OF INWEIDA, WHICH MAY FORM \u201cREVOLVING FINANCE\u201d, WONG IN-HOON ARGUES THAT THE COMPANY INVESTS ONLY A SMALL PART OF THE PROJECT, AND THAT DECISIONS ARE BASED ON FIRM ORDERS AND ACTUAL DEMAND THAT THE CUSTOMER HAS ENTERED INTO. HE ALSO EXPECTS THAT PHYSICAL AI APPLICATIONS SUCH AS AUTOPILOT WILL MAKE SIGNIFICANT PROGRESS OVER THE NEXT TWO TO THREE YEARS\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>On September 14, Inweida CEO Hoang In-hoon reaffirmed the global AI infrastructure expenditure forecast to reach $3 trillion to $4 trillion by 2030 in Goldman Sachs on September 10. In his view, the calculations were moving from retrieving existing information to producing answers in real time, slowing down the Jamour law and requiring integrated and synergistic design of chips, whole machines and data centres. Huang In-hoon stated that the supply constraints of AI infrastructure existed both upstream and downstream: advanced sealing, DRAM, LPDDR memory, connectors, voltage regulators and crystal circles were under pressure and there were gaps in the land, electricity and plant needed for data centres. English<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[411,8363,1342],"collection":[],"class_list":["post-57318","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-8363","tag-1342"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/57318","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=57318"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/57318\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=57318"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=57318"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=57318"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=57318"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}