{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The AI Supercycle","title":"AI Data Centres: The $30 Billion Price Tag","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/bb07834e\"></iframe>","width":"100%","height":180,"duration":1546,"description":"Episode 13: AI Data Centres: The $30 Billion Price Tag\nWhy the Chips, Not the Building, Decide Whether the AI Build Pays Back\n\nSummary\nA one-gigawatt AI data centre in Abilene, Texas, is estimated to cost around $30 billion, and more than half of that goes on chips rather than the building. In this episode, Tim Hardwick follows the money from the concrete to the customer: how rising rates change the economics of the build, why chips lose their edge long before the building does, and what CXMT’s memory progress and Microsoft’s Maia 300 mean for pricing power. He also covers diesel diplomacy and why a late transformer can leave billions of dollars of chips sitting idle, and sets out what to watch from US inflation, ASML, TSMC and the banks.\n\nKey points\nOf the reported $30bn cost, $17bn is chips, $3bn is power infrastructure and just $2.4bn is the building and its construction.\nOn an illustrative $18bn of debt, every extra percentage point on rates adds $180m a year to the interest bill. Delays make that worse.\nThe building lasts decades, while the chips start losing their edge as soon as faster ones arrive. The real question is how quickly the equipment earns back its cost.\nBuilding owner, cloud operator and AI customer are three separate streams of cash, and the contracts decide who carries the risk.\nCXMT’s denser memory design is a step forward, but yields, customer approval and shipment volumes have yet to be proven.\nMicrosoft’s Maia 300 claims 40% more output per megawatt. That is a company claim, and it does not mean 40% off the cost of a data centre.\nCheaper AI models could expand usage while making pricing harder to hold.\nThe most expensive equipment doesn’t always decide the opening date. A late transformer or grid connection can.\nChapters\n0:00 Introduction\n0:09 Texas Data Centre Economics\n1:14 The AI Supercycle Overview\n3:19 Financing the Build\n5:14 What $30 Billion Buys\n8:19 Capital and Competition\n10:53 Microsoft’s Custom Chips\n13:36 Cheaper AI, Bigger...","thumbnail_url":"https://img.transistorcdn.com/EGB2CNeTYtgbCY9EmoM0RaP0QpKAA8nMGPTJc4-3t_4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zYzBi/MjViMjg0NDU1N2Ux/OTYzOTVkYjkxZjRm/MGExOC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}