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Altman tours East Asia and the Middle East to secure multibillion-dollar deals for OpenAI's colossal data center project, essential for processing the AI giant’s exploding computational needs.
OpenAI Chief Executive Sam Altman has embarked on a global mission to secure funding and manufacturing partnerships, aiming to build the infrastructure necessary to support his company’s ambitious plans. With an estimated multitrillion-dollar investment required, Altman is focusing on East Asia and the Middle East to meet OpenAI's insatiable demand for computing power.
OpenAI’s rapid expansion in artificial intelligence (AI) has created a significant need for robust data centers capable of handling massive computational tasks. The company’s recent unveiling of its infrastructure plan highlights the scale of this challenge, which includes building and maintaining a vast network of high-performance computing facilities. Securing low-cost, long-term financing is crucial to achieving these goals without compromising on innovation or operational efficiency.

Since late September, Altman has been actively meeting with potential partners across East Asia and the Middle East. Notably, he met with South Korean President Lee Jae Myung in Seoul, underscoring the importance of these discussions at the highest levels of government. People familiar with the meetings have indicated that while discussions are still in the early stages, there is a strong interest from both sides to explore collaborative opportunities.
Sam Altman’s global fundraising and supply-chain campaign reflects OpenAI's commitment to building a sustainable and scalable infrastructure for AI. By leveraging partnerships in East Asia and the Middle East, the company aims to secure the necessary resources to drive innovation and maintain its leadership in the rapidly evolving field of artificial intelligence.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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6 October 2025
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