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SoftBank’s €75 Billion AI Investment Highlights Europe’s Energy Challenge

by THEFUTURE.TEAM

June 3, 2026

France Attracts Major AI Infrastructure Investment

SoftBank plans to invest €75 billion in artificial intelligence infrastructure in France, including the development of 3.1 GW of AI data centre capacity in the Hauts-de-France region. The project highlights France’s growing role in Europe’s AI infrastructure race while drawing attention to one of the sector’s biggest challenges: access to affordable and reliable electricity.

France’s Nuclear Advantage

France is better positioned than many European countries to support large-scale AI infrastructure projects due to its energy mix. More than 60% of the country’s electricity is generated from nuclear power, providing a stable source of energy for data centres and other power-intensive industries. The advantage comes as European businesses continue to face higher electricity costs than competitors in several other major economies.

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The Energy Cost Challenge

Rising demand from AI and data centres is increasing pressure on electricity systems globally. According to the International Energy Agency, many energy-intensive industries in Europe face electricity costs roughly twice as high as those in the United States and around 50% higher than in China and India. As a result, access to long-term, competitively priced electricity is becoming an increasingly important factor in data centre investment decisions.

Innovations In Nuclear Energy

Technology companies are also exploring new energy solutions to support future growth. Small modular reactors (SMRs) have attracted growing interest from the technology sector, with companies including Amazon and Google signing agreements related to the development of the technology. Supporters argue that SMRs could provide dedicated low-carbon electricity for data centres, although large-scale deployment remains years away and faces regulatory and commercial challenges.

London As A New Tech Epicenter

Alongside energy considerations, access to talent remains a key factor in expansion plans. Companies including Nvidia-backed Runway, Anthropic, OpenAI and Google have expanded or announced plans to expand operations in London, attracted by the city’s concentration of AI researchers, engineers and technology professionals. The trend highlights how both energy infrastructure and skilled labour are becoming increasingly important in the competition to attract AI investment.

Conclusion

SoftBank’s planned investment in France reflects a broader shift as technology companies seek locations that can provide both computing infrastructure and long-term energy security. As AI computing demands continue to grow, access to power, infrastructure and talent is likely to play an increasingly important role in determining where future investments are made.

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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.