{"id":441232,"date":"2026-04-24T10:50:19","date_gmt":"2026-04-24T17:50:19","guid":{"rendered":"https:\/\/climatescience.press\/?p=441232"},"modified":"2026-04-25T11:59:24","modified_gmt":"2026-04-25T18:59:24","slug":"launching-ai-into-orbit","status":"publish","type":"post","link":"https:\/\/climatescience.press\/?p=441232","title":{"rendered":"Launching AI into Orbit"},"content":{"rendered":"\n
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AI generated by Grok<\/figcaption><\/figure>\n\n\n\n

“Launching AI into Orbit”<\/strong> is a hot topic in 2026, referring to the rapidly accelerating efforts to deploy artificial intelligence computing capabilities<\/strong> \u2014 especially AI data centers, GPUs, and inference workloads \u2014 directly in space (primarily Low Earth Orbit, or LEO).<\/p>\n\n\n\n

This isn’t science fiction anymore. Multiple companies and initiatives are actively testing or planning to put powerful AI hardware in orbit, driven by the massive energy and cooling demands of modern AI (training and inference) that are straining terrestrial data centers.<\/p>\n\n\n\n

“Launching AI into Orbit”<\/strong> is the exact title of a timely April 2026 commentary (published April 20 in RealClearDefense and April 23 in the Orlando Sentinel) that frames Low Earth Orbit (LEO)<\/strong> as the new strategic chokepoint \u2014 analogous to the Strait of Hormuz \u2014 where AI will determine dominance in space.<\/p>\n\n\n\n

It\u2019s also the broader rallying cry for the fast-moving race to deploy AI compute directly in space<\/strong> \u2014 orbital data centers, GPU clusters, and inference engines powered by unlimited solar energy and cooled for free in the vacuum of space.<\/p>\n\n\n\n

_____________________________________________________________________________________<\/p>\n\n\n\n

From Watts Up With That?<\/a><\/p>\n\n\n\n

By Timothy Murphy<\/a><\/p>\n\n\n\n

The Strait of Hormuz reminds us that a single chokepoint can shape the global economy overnight. What most policymakers miss is that space has its own version of Hormuz\u2014and we are rapidly losing control of it. <\/p>\n\n\n\n

Multiple sectors of the global economy are dependent on access to the Strait of Hormuz, but nations are becoming ever more reliant upon access to space to drive their economies. Similar to the Strait, the key corridor in space is Low Earth Orbit (LEO)<\/strong>. All space systems are dependent upon access to it (either directly or indirectly), and the security of LEO and freedom of maneuver in space will increasingly rely upon Artificial Intelligence (AI)<\/strong>. Success will come from AI\u2019s capabilities in advancing commercial space activity, responding to current and future threats in space, and ensuring AI dominance through American control of the AI supply chain.<\/p>\n\n\n\n

AI is fundamental to maintaining U.S. advantages in commercial space activity. Many people still do not realize the extent of U.S. military involvement in all international space activity \u2013 both military and commercial. During my time standing up current operations at U.S. Space Command, we saw the volume and speed of activity in space explode beyond what human operators could effectively track in real time. That gap is only widening. The Space Force operates a Space Surveillance Network<\/strong><\/a> that monitors the space environment and tracks all artificial objects in Earth\u2019s orbit. U.S. and foreign companies use this data to launch satellites, avoid debris, and ensure their systems do not conflict with other objects in space. The surveillance network has always relied upon complex algorithms, and as the volume and complexity of space-based activity increases, AI compute<\/strong> will be increasingly necessary.<\/p>\n\n\n\n

Providing this surveillance and tracking service will also advance U.S. advantages in the development of the commercial space industry. The Federal Aviation Administration<\/a> (FAA) and its preceding organizations played a critical role in solidifying air commerce as an economic force in the 20th century. U.S. development of the FAA ensured control over the global air industry<\/a> which has generated wealth, economic benefits, and advanced logistics for over 100 years. America is on track to have similar influence over the development of space commerce, but AI will be critical<\/strong> to ensuring the expansion of surveillance, tracking, and deconfliction of space assets. The country that successfully employs AI capabilities to accomplish these functions will have the most influence on the future of the space industry.<\/p>\n\n\n\n

While AI will be critical to commercial space development, it is absolutely necessary to counter the quantity and capabilities of current <\/em>threats, much less future ones. Existing threats to the space domain are significant and not well understood. The dominant adversary is China<\/strong><\/a>, which has over 1,300 satellites<\/strong> in orbit and maintains multiple systems (in space and on earth) that can target U.S. and allied space systems. China\u2019s threats to space<\/a> represent a range from destructive weapons to high-power laser weapons and powerful jammers. A coordinated Chinese effort to jam or blind satellites in LEO wouldn\u2019t just affect military systems. It would disrupt GPS, financial transactions, logistics, and communications simultaneously. Much of China\u2019s efforts to deter and defeat the U.S. rely heavily on their counter-space plans and capabilities. China could attempt to deploy those capabilities to hamper U.S. operations in LEO and thus disrupt the key \u201cchoke point\u201d for space access.<\/p>\n\n\n\n

Much of China\u2019s efforts to deter and defeat the U.S. rely heavily on their counter-space plans and capabilities<\/a>. If deployed, they could directly disrupt U.S. operations in LEO and threaten access to this critical choke point. The U.S. cannot rely on human operators alone to respond. AI will be essential <\/strong>for detection, tracking, threat analysis, and real-time response to adversary actions. It can also provide decision-makers with options at tactical, operational, and strategic levels. These are capabilities the U.S. must accelerate in the years ahead.<\/p>\n\n\n\n

In space, AI is not an efficiency tool. It is the only way to maintain control. <\/strong>To realize these advantages, the United States must confront a harder truth: AI is only as strong as the supply chain behind it. If the U.S. does not control the AI stack\u2014from chips to training data\u2014it will not control the space domain. And today, that stack is globally fragmented and exposed.<\/p>\n\n\n\n

U.S.-based Nvidia\u2019s GPUs<\/strong> power much of the AI ecosystem but systems like the GB200 rely on hundreds of global suppliers. That creates real vulnerability but also reflects reality. The U.S. cannot retreat from global markets without ceding influence. Selling American AI abroad sets standards, builds dependence, and keeps U.S. companies at the center of the ecosystem. The challenge is not whether to engage, but how. The U.S. should protect its most advanced capabilities from adversaries like China while avoiding broad export controls that weaken its own industrial base.<\/p>\n\n\n\n

The world has seen how a single chokepoint can shape the global economy. Space has its own chokepoint that it is becoming more critical by the year. AI will determine who can operate in that domain and who cannot.<\/strong> The country that builds and supplies that infrastructure will not just compete in space. It will define it.<\/strong><\/p>\n\n\n\n

\n\n\n\n

Col Timothy Murphy <\/em><\/strong>(U.S. Air Force, ret.) is a former national security affairs fellow at the Hoover Institution at Stanford University. From 2019 to 2020, he served as the first Chief of Current Operations for U.S. Space Command.<\/em><\/p>\n\n\n\n

This article was originally published by RealClearDefense and made available via RealClearWire.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

“Launching AI into Orbit” is a hot topic in 2026, referring to the rapidly accelerating efforts to deploy artificial intelligence computing capabilities \u2014 especially AI data centers, GPUs, and inference workloads \u2014 directly in space (primarily Low Earth Orbit, or LEO).<\/p>\n","protected":false},"author":121246920,"featured_media":441233,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_crdt_document":"","advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[1],"tags":[691823432,691822968,691818341,691821564,691832444,691842514,691842515,691842516],"class_list":{"0":"post-441232","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-uncategorized","8":"tag-ai-artificial-intelligence","9":"tag-ai-computers","10":"tag-china","11":"tag-control","12":"tag-data-centers","13":"tag-low-earth-orbit-leo","14":"tag-multiple-companies","15":"tag-space-surveillance-network","17":"fallback-thumbnail"},"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2026\/04\/0-Launching-AI-into-Orbit.jpg?fit=1168%2C784&ssl=1","jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/paxLW1-1QME","jetpack-related-posts":[{"id":416347,"url":"https:\/\/climatescience.press\/?p=416347","url_meta":{"origin":441232,"position":0},"title":"Google\u2019s Wild Plan for \u201cSustainable\u201d Orbital Data Centers","author":"uwe.roland.gross","date":"12\/06\/2025","format":false,"excerpt":"Sadly, they decided to call the project \u201cSuncatcher\u201d rather than \u201cSkynet\u201d.","rel":"","context":"In \"Google CEO\u00a0Sundar Pichai\"","block_context":{"text":"Google CEO\u00a0Sundar Pichai","link":"https:\/\/climatescience.press\/?tag=google-ceo-sundar-pichai"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/12\/0AQPKv1tVu5LBlwQvInmAsAnPf3FGuG1z0cRWjNKGiY9wTtY9vyQKvE2l8qLyYJlv3QWZRhtG0B6hnIdOS2TkQM3eUy1vTwgnCc2_LeRv92NaygkX-qF-sBMGsOX4vn8-1.jpeg?fit=1200%2C658&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/12\/0AQPKv1tVu5LBlwQvInmAsAnPf3FGuG1z0cRWjNKGiY9wTtY9vyQKvE2l8qLyYJlv3QWZRhtG0B6hnIdOS2TkQM3eUy1vTwgnCc2_LeRv92NaygkX-qF-sBMGsOX4vn8-1.jpeg?fit=1200%2C658&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/12\/0AQPKv1tVu5LBlwQvInmAsAnPf3FGuG1z0cRWjNKGiY9wTtY9vyQKvE2l8qLyYJlv3QWZRhtG0B6hnIdOS2TkQM3eUy1vTwgnCc2_LeRv92NaygkX-qF-sBMGsOX4vn8-1.jpeg?fit=1200%2C658&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/12\/0AQPKv1tVu5LBlwQvInmAsAnPf3FGuG1z0cRWjNKGiY9wTtY9vyQKvE2l8qLyYJlv3QWZRhtG0B6hnIdOS2TkQM3eUy1vTwgnCc2_LeRv92NaygkX-qF-sBMGsOX4vn8-1.jpeg?fit=1200%2C658&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/12\/0AQPKv1tVu5LBlwQvInmAsAnPf3FGuG1z0cRWjNKGiY9wTtY9vyQKvE2l8qLyYJlv3QWZRhtG0B6hnIdOS2TkQM3eUy1vTwgnCc2_LeRv92NaygkX-qF-sBMGsOX4vn8-1.jpeg?fit=1200%2C658&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":418046,"url":"https:\/\/climatescience.press\/?p=418046","url_meta":{"origin":441232,"position":1},"title":"NOAA deploys new generation of AI-driven global weather models\u00a0","author":"uwe.roland.gross","date":"12\/21\/2025","format":false,"excerpt":"NOAA has launched a groundbreaking new suite of operational, artificial intelligence (AI)-driven global weather prediction models, marking a significant advancement in forecast speed, efficiency, and accuracy. 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New AI applications are announced daily. Amazon, Apple, Google, Meta, Microsoft, and many companies tout plans for artificial intelligence capabilities. 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modern web network and internet telecommunication technology, big data storage and cloud computing computer service business concept: 3d render illustration of the server room interior in datacenter in blue light Artificial intelligence (AI)\u2026","rel":"","context":"In \"AI chips\"","block_context":{"text":"AI chips","link":"https:\/\/climatescience.press\/?tag=ai-chips"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/10\/00dreamstime_xxl_120656504-e1571837937336.jpg?fit=1200%2C583&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/10\/00dreamstime_xxl_120656504-e1571837937336.jpg?fit=1200%2C583&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/10\/00dreamstime_xxl_120656504-e1571837937336.jpg?fit=1200%2C583&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/10\/00dreamstime_xxl_120656504-e1571837937336.jpg?fit=1200%2C583&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/10\/00dreamstime_xxl_120656504-e1571837937336.jpg?fit=1200%2C583&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":405068,"url":"https:\/\/climatescience.press\/?p=405068","url_meta":{"origin":441232,"position":5},"title":"CCA: Artificial Intelligence is a Challenge to Climate Goals","author":"uwe.roland.gross","date":"09\/26\/2025","format":false,"excerpt":"How can a data center with co-located batteries be expected to compete against China\u2019s coal powered data centers, or the USA\u2019s gas- and nuclear-powered data centers?","rel":"","context":"In \"2035 Targets Advice\"","block_context":{"text":"2035 Targets Advice","link":"https:\/\/climatescience.press\/?tag=2035-targets-advice"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/09\/AQOAqzCCpYCpI6XNtng7SFR6DdxH4LIyML878RtRZQjWZqK_oZdfGU0DakI8ExMzFqUYKPuT9tx0F3kSpFZP5b4tJtuTsuvGto_DUSKKdpddci5ArZbvAMyApEdrMCQPs6UfhTH3tDMMoCeBCMojTYvUr94P.jpeg?fit=1200%2C1200&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/09\/AQOAqzCCpYCpI6XNtng7SFR6DdxH4LIyML878RtRZQjWZqK_oZdfGU0DakI8ExMzFqUYKPuT9tx0F3kSpFZP5b4tJtuTsuvGto_DUSKKdpddci5ArZbvAMyApEdrMCQPs6UfhTH3tDMMoCeBCMojTYvUr94P.jpeg?fit=1200%2C1200&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/09\/AQOAqzCCpYCpI6XNtng7SFR6DdxH4LIyML878RtRZQjWZqK_oZdfGU0DakI8ExMzFqUYKPuT9tx0F3kSpFZP5b4tJtuTsuvGto_DUSKKdpddci5ArZbvAMyApEdrMCQPs6UfhTH3tDMMoCeBCMojTYvUr94P.jpeg?fit=1200%2C1200&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/09\/AQOAqzCCpYCpI6XNtng7SFR6DdxH4LIyML878RtRZQjWZqK_oZdfGU0DakI8ExMzFqUYKPuT9tx0F3kSpFZP5b4tJtuTsuvGto_DUSKKdpddci5ArZbvAMyApEdrMCQPs6UfhTH3tDMMoCeBCMojTYvUr94P.jpeg?fit=1200%2C1200&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/09\/AQOAqzCCpYCpI6XNtng7SFR6DdxH4LIyML878RtRZQjWZqK_oZdfGU0DakI8ExMzFqUYKPuT9tx0F3kSpFZP5b4tJtuTsuvGto_DUSKKdpddci5ArZbvAMyApEdrMCQPs6UfhTH3tDMMoCeBCMojTYvUr94P.jpeg?fit=1200%2C1200&ssl=1&resize=1050%2C600 3x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/441232","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/users\/121246920"}],"replies":[{"embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=441232"}],"version-history":[{"count":12,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/441232\/revisions"}],"predecessor-version":[{"id":441245,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/441232\/revisions\/441245"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/media\/441233"}],"wp:attachment":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=441232"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=441232"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=441232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}