Saudi Arabia's AI Giant Humain Ventures into $10B Global Startup Fund
Techcrunch1 day ago
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Saudi Arabia's AI Giant Humain Ventures into $10B Global Startup Fund

Venture Capital
venturecapital
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startups
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Summary:

  • Humain, Saudi Arabia's state-owned AI company, is launching a $10B venture fund to invest in startups across the U.S., Europe, and Asia

  • In talks with Andreessen Horowitz, OpenAI, and Elon Musk’s xAI, Humain is also exploring equity stakes in its data center business with U.S. companies

  • Under a new Trump administration initiative, U.S. tech suppliers like Nvidia and AMD can now partner with Saudi firms, facilitating Humain's deals with Qualcomm, Nvidia, AMD, and Amazon

  • Humain aims to build 1.9 gigawatts of data center capacity by 2030, targeting 7% of global AI training and inferencing, with an estimated cost of $77B

Humain, the state-owned AI powerhouse from Saudi Arabia, is setting the stage to launch a colossal $10 billion venture fund, dubbed Humain Ventures. This ambitious fund aims to inject capital into startups across the U.S., Europe, and Asia, marking a significant leap in global tech investment.

Image Credits: BRENDAN SMIALOWSKI / Getty Images

According to The Financial Times, Humain's CEO, Tareq Amin, revealed that the company is in discussions with heavyweight U.S. firms like Andreessen Horowitz, OpenAI, and Elon Musk’s xAI about its venture plans. Additionally, Humain is exploring opportunities to sell an equity stake in its data center business to U.S. companies, with Amin hinting at negotiations with "massive names in the data center segment."

Launched earlier this month, Humain's initiative aligns with a new Trump administration policy that permits U.S. tech suppliers, including Nvidia and AMD, to engage in deals with Saudi Arabian entities. This policy shift has already enabled Humain to secure partnerships with tech giants such as Qualcomm, Nvidia, AMD, and Amazon.

Humain's vision extends beyond venture funding. The company plans to establish 1.9 gigawatts of data center capacity by 2030, aiming to handle 7% of global AI training and inferencing. This monumental project is estimated to require an investment of approximately $77 billion.

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