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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.

xAI Co-Founder Igor Babuschkin Leaves to Launch AI Safety Investment Firm

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Igor Babuschkin, co-founder of Elon Musk’s AI startup xAI, announced his departure on Wednesday to launch Babuschkin Ventures, an investment firm focused on AI safety research. Babuschkin, who previously worked at Google’s DeepMind and OpenAI, played a key role at xAI in developing foundational tools for model training and overseeing engineering across infrastructure, product, and applied AI projects.

xAI, launched by Musk in 2023 to challenge Big Tech’s AI efforts, has faced recent executive departures, including legal head Robert Keele and X CEO Linda Yaccarino. Babuschkin’s exit comes amid intense competition in the AI sector, with companies like OpenAI, Google, and Anthropic heavily investing in advanced system development.

OpenAI Launches GPT-5 Amid Industry Push for AI Returns on Investment

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OpenAI unveiled GPT-5 on Thursday, the latest iteration of its influential AI technology powering ChatGPT, available now to all 700 million users of the chatbot platform. This launch marks a key moment as the AI sector seeks to justify massive investments by demonstrating clear enterprise value.

While consumer enthusiasm remains strong, with users captivated by ChatGPT’s conversational capabilities, business spending on AI has yet to fully materialize. The industry’s top players—Alphabet, Meta, Amazon, and Microsoft (which backs OpenAI)—are collectively spending nearly $400 billion this fiscal year on AI infrastructure, raising expectations for significant returns.

OpenAI is currently in talks to let employees cash out at a $500 billion valuation, up from $300 billion. The company has attracted high-profile talent with signing bonuses reaching $100 million, underscoring intense competition for AI expertise.

CEO Sam Altman emphasized GPT-5’s advancements in software development, finance, and health queries, describing it as capable of expert-level responses comparable to PhD-level knowledge. A standout feature demonstrated was “vibe coding”—the ability to generate fully functioning software from natural language prompts, highlighting a new era of software on demand.

However, early reviewers suggest that the leap from GPT-4 to GPT-5, while impressive, may not be as large as previous model upgrades. Altman acknowledged GPT-5 still cannot autonomously learn, a critical step toward matching human-like intelligence.

A new capability called “test-time compute” enables GPT-5 to spend extra computational effort on harder problems, improving its reasoning and problem-solving. This technology is now publicly accessible for the first time and is central to OpenAI’s mission to build broadly beneficial AI.

Despite GPT-5’s launch, OpenAI faces challenges, including a shortage of new training data and the complexity and cost of running large-scale AI training. The company sees infrastructure expansion worldwide as essential for broader AI adoption.

Altman remains optimistic about AI’s future impact but stresses that current investments in infrastructure are still insufficient to realize its full potential globally.