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Google To Build $15B Data Center Next To Amazon Center In Missouri
Google unveils a $15 billion investment plan to build a new data center in Missouri right next to where Amazon committed $35 billion to build a data center earlier this year. Google is building a $15 billion new data center in Missouri right next to a site where Amazon has committed to building a
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Google Announces Historic $15 Billion AI Data Center Investment in Missouri
Google has announced a major $15 billion investment in a new data center campus in Missouri. This commitment is part of a larger trend among major tech companies, including Microsoft, Amazon, and Meta, which are investing billions in data center infrastructure. The latest surge in investment comes
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Google announced a $15 billion investment to construct a new data center in Montgomery County, Missouri, adjacent to Amazon's $35 billion facility. The move reflects escalating CapEx spending among tech giants racing to secure computing power for AI applications, with Google committing upward of $190 billion this year in infrastructure expansion.
Google has unveiled plans to invest $15 billion in a new data center campus in Missouri, positioning the facility directly next to Amazon's $35 billion data center site in Montgomery County
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. The announcement marks another significant escalation in tech industry CapEx spending, with Google committing upward of $190 billion this year on data centers and infrastructure1
. Ruth Porat, president and chief investment officer of Alphabet and Google, emphasized the company's commitment to "expanding Google's investments in Missouri and helping Missourians benefit from the next wave of American innovation"1
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Source: Analytics Insight
The surge in data center construction responds directly to the electricity demands of artificial intelligence applications that require massive computing power
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. Google's AI ambitions, particularly around its Gemini platform, have driven the company to secure substantial energy capacity. The facility will sit on more than 900 acres, with Google already contracting to bring more than 1 gigawatt of new generation capacity to Missouri and supporting the development of an additional 500 megawatts through utility partnerships including Ameren1
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. At Google I/O 2026, CEO Sundar Pichai highlighted the company's trajectory, noting that CapEx spending has increased six times since 2022, when Google spent $31 billion annually1
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Source: CRN
Google established a $20 million Energy Impact Fund to address energy affordability concerns in communities surrounding the Missouri operations, including Montgomery, Clay, and Platte counties
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. The North East Community Action Corporation will receive initial funding for critical home repairs and energy efficiency upgrades in Montgomery County1
. The company also developed a Capacity Commitment Framework with Ameren and Evergy to ensure large energy customers pay for their electricity and infrastructure needs while protecting local ratepayers and boosting grid resilience1
. The Montgomery County facility will rely primarily on advanced air-cooling systems to minimize water use, addressing growing concerns about resource consumption2
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The data center will create thousands of construction jobs during the build period and hundreds of permanent operational roles once completed
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. Google is partnering with the Construction Laborers and Contractors Joint Training Fund of Eastern Missouri to train more than 2,300 construction laborers, including 1,500 apprentices, over the next two years1
. Patrick Pugh, global and U.S. alliance and ecosystems leader for Google Cloud partner PwC, noted that Google's massive infrastructure investment opens doors for partners to reach new customers and extends opportunities throughout the globe1
. Google Cloud generated a record $20 billion in total cloud revenue during the first quarter of 2026, representing a 63 percent year-over-year increase, bringing its annual run rate to $80 billion1
. This financial performance underscores how investments in infrastructure directly support the company's competitive position in the AI race, where securing computing capacity has become critical for deploying advanced models and maintaining market leadership.Summarized by
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