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Euro Area Services Output Picks Up In April As Transport And Professional Services Lead Gains

Services production in the euro area rose 0.7% in April 2026 from the previous month, while output across the European Union increased 0.3%, according to Eurostat.

The figures follow gains of 0.1% in the euro area and 0.4% in the EU in March. Compared with April 2025, services production increased 1.8% in both regions.

Transport And Professional Services Lead Growth

In the euro area, transportation and storage recorded the strongest monthly increase, rising 1.5%. Professional, scientific and technical activities followed with a 1.3% gain, while information and communication increased 0.6% and accommodation and food services edged up 0.1%.

Real estate activities declined 0.2%, while administrative and support services fell 0.3%.

European Union Shows Similar Pattern

Across the EU, transportation and storage increased 1.0%, while professional, scientific and technical activities rose 1.1%. Accommodation and food services declined 0.1%, real estate activities fell 0.6%, and administrative and support services slipped 0.2%.

Member States Show Mixed Results

Belgium recorded the strongest monthly increase in services production at 2.1%, followed by Greece at 1.6% and Bulgaria at 1.5%. Hungary posted the sharpest decline at 13.9%, ahead of Denmark at 3.2% and the Netherlands at 1.9%.

On an annual basis, information and communication recorded the strongest growth in the euro area, rising 5.9%.

Among EU member states, Bulgaria led annual growth with a 9.3% increase, followed by Estonia at 6.4% and Poland at 6.0%. Romania recorded the steepest annual decline at 5.8%, followed by Denmark at 5.3% and Luxembourg at 2.9%.

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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