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Meta Platforms is reportedly partnering with Morgan Stanley and JPMorgan Chase to secure a massive $13 billion financing package for its planned data center in El Paso, Texas. According to sources cited by Reuters, the deal highlights the growing scale of investment in artificial intelligence infrastructure as major technology companies race to expand capacity.
The financing structure is expected to consist largely of debt, with a smaller portion allocated to equity, as first reported by Bloomberg News. This move reflects a broader shift among Big Tech firms, which have traditionally avoided large debt financing but are now leveraging it to accelerate AI development and remain competitive in a rapidly evolving market.
Meta has significantly increased its commitment to the El Paso project, boosting its investment to $10 billion earlier this year. The company aims to achieve approximately 1 gigawatt of computing capacity by the time the facility is expected to become operational in 2028. This expansion underscores Meta’s aggressive push into artificial intelligence and data infrastructure, key areas driving future growth.
The surge in data center investments is not limited to Meta. Industry leaders including Amazon, Alphabet, and Microsoft are collectively projected to spend more than $630 billion on AI infrastructure in 2026. This unprecedented level of spending signals the importance of scalable computing power as demand for AI technologies, cloud services, and machine learning capabilities continues to rise globally.
Despite the significance of the deal, Meta, Morgan Stanley, and JPMorgan Chase have not provided official comments outside regular business hours. However, the reported financing package illustrates how financial institutions are playing a crucial role in supporting the next phase of digital transformation.
As competition intensifies, strategic investments in AI data centers are becoming essential for maintaining technological leadership. Meta’s Texas project positions the company to meet growing demand while strengthening its presence in the high-stakes AI ecosystem.
