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Euro Area Trade Returns To Deficit As Imports Surge

The euro area’s trade balance slipped back into deficit in May 2026 as a sharp rise in imports outpaced largely flat export growth, reversing the €15.0 billion surplus recorded a year earlier, according to Eurostat.

Imports Outpace Exports

Exports edged up just 0.1% year on year to €243.6 billion in May, while imports jumped 10.0% to €251.4 billion. The result was a monthly trade deficit of €7.8 billion, compared with a deficit of €1.2 billion in April and a €15.0 billion surplus in May 2025.

Eurostat attributed the deterioration mainly to a wider energy trade deficit and smaller surpluses in key manufacturing sectors, including machinery, vehicles and chemicals.

The broader European Union followed the same trend, recording a €12.1 billion trade deficit in May, compared with a €12.7 billion surplus a year earlier.

External Trade Weakens

Extra-EU exports fell 1.1% to €215.7 billion, while imports from outside the bloc rose 10.8% to €227.8 billion.

For the first five months of 2026, the euro area’s trade surplus narrowed to €3.3 billion from €78.7 billion in the same period of 2025. During that period, exports declined 2.8%, while trade between euro area countries increased 3.3% to €1.16 trillion.

Across the EU, the January-to-May balance shifted to a €15.9 billion deficit from a €70.1 billion surplus a year earlier.

Downtrend Continues

Seasonally adjusted data also pointed to weaker trade performance. In May, the euro area’s trade balance stood at a €5.0 billion deficit, while the EU recorded a €9.0 billion deficit, both larger than in April.

Although trade within the single market continued to grow, rising imports from outside the bloc continued to weigh on the euro area’s external balance.

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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