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Europe’s Defense Dilemma: Self-Reliance Requires Coordination And Investment

A new study by Bruegel and the Kiel Institute for the World Economy reveals that Europe could secure its defense without relying on U.S. support—but only with a significant financial and strategic overhaul. According to the research, the bloc needs to invest roughly €250 billion ($261.6 billion) annually in defense, representing about 1.5% of its GDP, to mount an effective stand against potential threats like Russia. Such spending could mobilize around 300,000 soldiers, strengthening Europe’s ability to deter aggression.

However, the report also highlights a critical hurdle: while European nations have the economic muscle, their defense strategies remain fragmented. Enhanced coordination and joint procurement efforts are essential if Europe is to unify its national armed forces and optimize resource allocation.

The study comes at a time when pressure from U.S. political figures has been mounting. U.S. President Donald Trump has openly urged European states to bolster their military capabilities, with his defense minister recently warning against allowing America to shoulder the entire burden of European security. Adding to the debate, German Chancellor frontrunner Friedrich Merz recently questioned Washington’s long-term commitment to NATO, while U.S. National Security Advisor Mike Waltz set a June deadline for NATO members to achieve a 2% GDP defense spending target. In this light, the report even suggests that Europe should consider ramping up its defense expenditure to 4% of GDP. The authors propose that half of this additional investment could be financed through common European debt, dedicated to joint procurement, with the remainder covered by national budgets.

Europe stands at a crossroads: with the right blend of investment and coordination, it can transition to a more self-reliant defense posture. However, achieving this will require not only a financial commitment but also a unified strategy among its diverse member states.

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

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.

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.

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