{"id":662036,"date":"2026-11-12T10:54:10","date_gmt":"2026-11-12T09:54:10","guid":{"rendered":"https:\/\/aivancity.ai\/blog\/ghost-data-centers-what-connection-queues-reveal-about-the-rise-of-ai\/"},"modified":"2026-11-12T10:56:26","modified_gmt":"2026-11-12T09:56:26","slug":"ghost-data-centers-what-connection-queues-reveal-about-the-rise-of-ai","status":"publish","type":"post","link":"https:\/\/aivancity.ai\/blog\/en\/ghost-data-centers-what-connection-queues-reveal-about-the-rise-of-ai\/","title":{"rendered":"Ghost Data Centers: What Connection Queues Reveal About the Rise of AI"},"content":{"rendered":"\n
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\n The tensions caused by\n artificial intelligence data centers<\/strong>\n do not stem solely from\n the actual electricity consumed<\/strong>.\n Projects<\/strong> that are still uncertain<\/strong> may\n reserve capacity from multiple grids<\/strong>,\n lengthen connection waitlists<\/strong>\n and distort planning<\/strong>.\n The debate therefore centers just as much on\n the maturity of the projects<\/strong> and\n the sharing of costs<\/strong> that on\n growth, which is very real,\n the energy demand of digital technology.<\/strong>\n <\/p>\n<\/div>\n\n

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\n 01\n <\/div>\n\n

\nWhat Just Happened\n <\/h2> \n\n<\/div>\n\n

On October 13, 2026, The Wall Street Journal described the growing difficulty U.S. electric utilities face in distinguishing between data center projects that are ready for construction and those that are still in the exploratory phase [1]<\/a>. In this context, the term \u201cghost data center\u201d refers to a project announced as part of a connection queue, but for which the financing, land, equipment, timeline, or even the final location have not yet been sufficiently established.<\/p>\n\n

This classification does not necessarily mean that a project is fraudulent. A single developer may explore multiple regions to compare timelines, electricity prices, or regulatory constraints. The same potential load is then counted multiple times across separate portfolios. Conversely, an overloaded grid can slow down credible projects and lead grid operators to consider upgrades that may not all ultimately be necessary.<\/p>\n\n

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\nThe key point\n<\/div>\n\n

\nA connection request measures an intention\n and a maximum need considered. It does not constitute\n \nneither observed consumption nor a guarantee\n of construction, nor a certain forecast\n of future charge.\n<\/strong>\n<\/p> \n\n<\/div>\n\n

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\n 02\n <\/div>\n\n

\nWhat’s Really New\n <\/h2> \n\n<\/div>\n\n

Speculative projects in the power grid are nothing new. What has changed with AI is their scale, geographic concentration, and speed. According to the WSJ, a typical request made to certain suppliers has increased from about 50 MW to 1,000 MW or more [1]<\/a>. A single project can therefore have the same impact as a large industrial facility, even though its capacity is sometimes drawn upon gradually over several years.<\/p>\n\n

This dynamic is complicated by a timing mismatch. A data center can be built in a few years, whereas a high-voltage transmission line, a power substation, or new generation capacity often require longer approval processes. To secure an option, developers are advised to file their applications early. To protect consumers, however, utilities need evidence of project maturity before investing. The novelty lies less in the queue itself than in the gap between the scale of demand and the number of projects that have already demonstrated their ability to succeed.<\/p>\n\n