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Germany’s AAA Rating At Risk Unless Structural Weaknesses Are Addressed

Germany’s AAA credit rating could be at risk in the long term unless the country addresses its ongoing structural weaknesses, according to Eiko Sievert, CEO of European rating agency Scope Ratings, speaking to Reuters in an interview.

Key Facts

While weaker economic growth itself isn’t an immediate threat to Germany’s AAA rating—even if stagnation persists into 2025—the pressure on the rating could rise if the country fails to address the root causes of its underperformance.

Germany’s economy shrank for the second consecutive year in 2024, with its export sector suffering from sluggish global demand and growing competition, particularly from China.

Sievert highlighted several structural issues that need urgent attention, including high energy prices that undermine Germany’s production and export capabilities, insufficient investment in infrastructure, education, and digitalisation, and the lack of meaningful labor market reforms that erode international competitiveness.

Despite Germany’s relatively low government debt, which stands at 63% of GDP, this figure alone won’t guarantee the country’s AAA rating, Sievert explained. The rating takes into account other important factors as well.

What To Follow

When compared to other AAA-rated countries, Germany’s debt level is relatively high. The average debt for other countries within this rating group is just 36% of GDP, making Germany the highest in terms of debt within the AAA cohort.

Germany’s “debt brake” mechanism, which limits public borrowing to 0.35% of GDP, remains a cornerstone of the country’s fiscal policy. However, Sievert suggested that reforming this mechanism to allow for more public investment aimed at driving growth would be a positive move.

“If Germany is to reverse the gradual erosion of its competitiveness, the next government must prioritize a significant increase in investment,” Sievert said, urging policymakers to act swiftly.

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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