{"id":6957,"date":"2026-09-13T11:51:03","date_gmt":"2026-09-13T11:51:03","guid":{"rendered":"https:\/\/silvybrand.com\/?p=6957"},"modified":"2026-09-13T11:51:03","modified_gmt":"2026-09-13T11:51:03","slug":"ai-agents-are-thirsty-for-power","status":"publish","type":"post","link":"https:\/\/silvybrand.com\/?p=6957","title":{"rendered":"AI Agents Are Thirsty for Power"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div>\n<p><em><span class=\"lead-in-text-callout\">Welcome back to<\/span> <a href=\"https:\/\/www.wired.com\/tag\/power-play\/\" class=\"text link\">Power Play<\/a>! Each week, senior writer Molly Taft tackles a topic around this midterm season\u2019s biggest issue: data centers. If you\u2019ve got a question or thought for the column, feel free to shoot Molly an email at <a href=\"http:\/\/www.wired.com\/cdn-cgi\/l\/email-protection#593436353520062d383f2d192e302b3c3d773a3634\" class=\"text link\"><span class=\"__cf_email__\" data-cfemail=\"25484a49495c7a5144435165524c5740410b464a48\">[email\u00a0protected]<\/span><\/a> or reach them securely on Signal at mollytaft.76.<\/em><\/p>\n<p class=\"paywall\">\u201cWhat on earth are they building all of these data centers <em>for?<\/em>\u201d an exasperated friend asked me recently.<\/p>\n<p class=\"paywall\">They\u2019re not the only one asking: We got several similar questions on our recent <a href=\"https:\/\/www.wired.com\/story\/livestream-the-great-data-center-backlash\/\" class=\"text link\">data center livestream<\/a>. It\u2019s a really reasonable thing to wonder about. After all, if AI is already making all these breakthroughs, why are tech companies <a href=\"https:\/\/www.ft.com\/content\/9cb63980-cd43-419d-a7e5-42039b9fd01e?syn-25a6b1a6=1\" class=\"text link\">taking on billions of dollars of debt<\/a> and constructing some of the biggest power plants in the world to build even <em>more<\/em> data centers?<\/p>\n<p class=\"paywall\">The answer isn\u2019t to help the average user search for recipes or look up places to visit on a vacation; simple chatbot queries are an increasingly outdated way of thinking about how AI works. Now, AI is all about agents\u2014there\u2019s no official definition, but roughly speaking, agents are large language model-based systems designed to make autonomous decisions to execute a task\u2014and the shift towards them is part of what\u2019s driving Silicon Valley\u2019s power buildout.<\/p>\n<p class=\"paywall\">\u201cRather than asking an AI chatbot a simple question and answer, these agents can give themselves hundreds of small prompts based on a user\u2019s original question,\u201d says my colleague Maxwell Zeff, who writes the weekly <a href=\"https:\/\/www.wired.com\/newsletter\/exclusive\/model-behavior\" class=\"text link\">Model Behavior newsletter<\/a>. \u201cFor example, if someone asked an AI agent to build them a website, it might run for hours to build out features, re-prompting itself dozens of times in the process to build different web pages, menus, and datasets that power the thing.\u201d<\/p>\n<p class=\"paywall\">Agents are now at the heart of the frontier labs\u2019 work on AI. They\u2019re doing some astounding\u2014and terrifying\u2014things. Recently, OpenAI announced that a swarm of more than 10,000 agents sending 2.7 million messages had solved a longstanding math problem. (Mathematicians <a href=\"https:\/\/www.wired.com\/story\/openai-navier-stokes-math-discovery-academics\/\" class=\"text link\">pushed back<\/a> on the company\u2019s claims.) While this is an outlier\u2014AI labs are highly committed to solving supposedly unsolvable problems, and willing to throw unusual amounts of resources into doing so\u2014all those messages burned through a lot of processing power. That equates to a lot of energy: probably tens of millions of dollars\u2019 worth, Max tells me, though how much exactly is tough to say.<\/p>\n<p class=\"paywall\">Private AI companies have <a href=\"https:\/\/www.wired.com\/story\/ai-carbon-emissions-energy-unknown-mystery-research\/\" class=\"text link\">historically been choosy<\/a> about what to disclose when it comes to environmental metrics around their products. Many CEOs often point to single queries made by individuals as a measure of resource use. In a <a href=\"https:\/\/www.youtube.com\/watch?v=VeizK1M7V7E&amp;t=2052s\" class=\"text link\">recent podcast interview<\/a>, OpenAI CEO Sam Altman claimed that the water use needed to harvest a single almond amounted to 38,000 ChatGPT queries. (The calculation has been <a data-offer-url=\"https:\/\/calmatters.org\/environment\/2026\/09\/sam-altman-almonds-chatgpt-water-california\/\" class=\"external-link text link\" data-event-click=\"{&quot;element&quot;:&quot;ExternalLink&quot;,&quot;outgoingURL&quot;:&quot;https:\/\/calmatters.org\/environment\/2026\/09\/sam-altman-almonds-chatgpt-water-california\/&quot;}\" href=\"https:\/\/calmatters.org\/environment\/2026\/09\/sam-altman-almonds-chatgpt-water-california\/\" rel=\"nofollow noopener\" target=\"_blank\">disputed<\/a>.)<\/p>\n<p class=\"paywall\">\u201cThe people that are scarfing down 12 almonds at a time don&#8217;t feel like they&#8217;re doing something horrible from a water perspective for the most part,\u201d he said.<\/p>\n<p class=\"paywall\">Introducing AI agents, which are much more energy-intensive than simple queries, into the picture makes these calculations a lot more complex. There\u2019s a major dearth of information around the energy use of agents, whose tasks can range from simple jobs to a full day of autonomous coding involving a team of parallel \u201chelper\u201d agents. There\u2019s a massive gulf in power use between these applications\u2014and a potentially limitless expansion as tasks get more complex.<\/p>\n<p class=\"paywall\">\u201cIn other technological growth areas, we&#8217;re constrained by how many people are driving a car or streaming Netflix,\u201d says Boris Gamazaychikov, the co-founder and CEO of Sustainable AI, a research and advisory group. \u201cNow, this stuff is kind of decoupled from users\u2014and if you listen to AI leaders, I think that\u2019s what they want. They\u2019re talking about unicorns that have one employee.\u201d<\/p>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/www.wired.com\/story\/ai-agents-are-thirsty-for-power\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Welcome back to Power Play! Each week, senior writer Molly Taft tackles a topic around this midterm season\u2019s biggest issue: data centers. If you\u2019ve got a question or thought for the column, feel free to shoot Molly an email at [email\u00a0protected] or reach them securely on Signal at mollytaft.76. \u201cWhat on earth are they building [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":6958,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[89,83,419,49,70,78,1359,169],"class_list":["post-6957","post","type-post","status-publish","format-standard","has-post-thumbnail","category-gadgets","tag-agentic-ai","tag-artificial-intelligence","tag-data-centers","tag-environment","tag-meta","tag-openai","tag-power-play","tag-science"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Agents Are Thirsty for Power - Silvybrand Lifestyle Blog<\/title>\n<meta name=\"description\" content=\"Silicon Valley is shifting away from chatbot queries toward a future filled with resource-intensive agentic AI\u2014and it&#039;s driving the data center buildout.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/silvybrand.com\/?p=6957\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Agents Are Thirsty for Power - 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