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Google to Invest $9 Billion in AI and Cloud Infrastructure in Oklahoma

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Alphabet’s Google announced Wednesday that it will spend an additional $9 billion in Oklahoma over the next two years to expand its cloud and artificial intelligence (AI) infrastructure. The plan includes building a new data center campus in Stillwater and expanding the existing facility in Pryor, alongside education and workforce programs.

The investment comes amid intensifying competition among Big Tech companies, which are spending heavily on new data centers and skills development to meet surging AI demand. Part of the $9 billion is included in Google’s 2025 capital expenditure plan, with the remainder earmarked for future projects.

Last month, Alphabet raised its annual capital spending target to $85 billion from $75 billion and indicated more increases could follow next year. The company and its peers have justified large AI investments as necessary for growth and product improvement, particularly amid competition from Chinese tech firms and investor concerns over slower returns.

In addition, Google committed $1 billion last week to AI education and training for U.S. universities and nonprofit organizations. Over 100 universities have joined the initiative, including major public institutions such as Texas A&M and the University of North Carolina. Competitors like OpenAI, Anthropic, and Amazon have launched similar AI-focused education programs.

U.S. policy also supports onshoring of AI infrastructure, prompting investments by companies such as Micron, Nvidia, and CoreWeave. Apple similarly announced plans last week to invest $600 billion in the U.S. over the next four years.

CoreWeave Shares Fall Despite Strong AI Demand as Losses Mount

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Shares of CoreWeave, the Nvidia-backed AI infrastructure firm, dropped 11% after the company reported a larger-than-expected loss for Q2. Operating expenses surged nearly fourfold to $1.19 billion, highlighting tension between rapid revenue growth and rising financial strain.

Analysts expressed concern over CoreWeave’s heavy reliance on key customers, such as OpenAI, and questioned its ability to grow profitably given widening losses, high capital needs, and deteriorating debt coverage. The company, which went public in March, had about $8 billion in debt last year and planned to use roughly $1 billion of IPO proceeds for debt repayment.

With the IPO lock-up period expiring soon, analysts expect volatility as insiders can sell shares for the first time. CoreWeave operates 33 AI data centers in the U.S. and Europe, providing access to Nvidia GPUs. Despite losses, surging demand helped the firm beat quarterly revenue estimates, and its stock has nearly tripled since its IPO.

CoreWeave Beats Q2 Revenue Estimates on AI Demand but Posts Larger Loss

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Cloud services provider CoreWeave exceeded second-quarter revenue expectations on Tuesday, driven by strong demand for AI infrastructure, but a larger-than-expected net loss pushed its shares down 10% in after-hours trading.

REVENUE AND BACKLOG

  • Q2 revenue: $1.21 billion (est. $1.08B)

  • Revenue backlog: $30.1 billion as of June 30, up from $25.9 billion on March 31

  • Annual revenue forecast: Raised to $5.15–$5.35 billion from prior $4.9–$5.1 billion

LOSSES AND COSTS

  • Net loss: $290.5 million (est. $190.6M)

  • Operating expenses: Jumped to $1.19 billion from $317.7 million a year earlier
    CEO Michael Intrator noted the main challenge is accessing power shells to support AI infrastructure at scale.

AI GROWTH AND STRATEGY
CoreWeave operates 33 AI data centers in the U.S. and Europe and provides access to Nvidia chips for enterprises training large AI models.
The company highlighted rising demand for AI inference, particularly chain-of-thought reasoning models, which significantly increase computational requirements.

M&A AND CUSTOMER CONCENTRATION

  • CoreWeave’s $9 billion all-stock acquisition of Core Scientific will secure 1.3 GW of power under contract, though some shareholders oppose the deal.

  • The company acknowledged that its reliance on large customers like OpenAI is both a strategic advantage and a potential risk.

  • Contracts with hyperscalers have been expanded to meet growing demand.

MARKET RESPONSE
Shares fell 10% after-hours to $133.71, despite nearly tripling since the March IPO. Analysts noted that strong revenue visibility is tempered by cost growth and customer concentration risks.