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Trump Announces $500 Billion Private-Sector Investment In AI Infrastructure

by THEFUTURE.TEAM

January 22, 2025

U.S. President Donald Trump unveiled a landmark private-sector investment plan on Tuesday, promising up to $500 billion in funding to support artificial intelligence infrastructure. This ambitious initiative aims to position the United States ahead of its global competitors in this vital technological sector.

Trump revealed that a joint venture called Stargate, involving OpenAI (creator of ChatGPT), SoftBank, and Oracle, will spearhead the effort. The project will build cutting-edge data centers and generate over 100,000 jobs in the U.S. The companies involved, along with other equity partners, have already committed $100 billion for immediate deployment, with the remaining funds to be invested over the next four years.

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Key Highlights:

Joint Venture: OpenAI, SoftBank, and Oracle are collaborating on Stargate, aiming to revolutionize AI infrastructure.
Immediate Investment: $100 billion has been allocated for the first phase, with the full $500 billion to be invested over the next four years.
Job Creation: The project is expected to generate more than 100,000 jobs in the U.S.
Construction Begins: The first data centers are already being built in Texas, with plans for 20 centers, each spanning half a million square feet.

Executives Backing The Plan

The announcement was made at the White House, with key industry leaders such as SoftBank CEO Masayoshi Son, OpenAI CEO Sam Altman, and Oracle Chairman Larry Ellison joining Trump. Ellison emphasized that the data centers will be pivotal in powering AI applications, including those for analyzing electronic health records to aid healthcare professionals.

Ellison also credited Trump for making the project a reality, stating, “We wouldn’t have decided to do this unless you won.” Altman echoed this sentiment, noting that the development of artificial general intelligence (AGI) would not have been possible without Trump’s leadership.

While it was unclear if this announcement was an update to a previously reported initiative, the scale and impact of the project make it a significant milestone in the U.S.’s AI development strategy. The venture is set to play a crucial role in advancing the country’s leadership in AI technologies.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.