EU Wind Turbine Production Reaches Highest Level In A Decade

European Wind Turbine Production Rebounds

European wind turbine production reached its highest level in a decade in 2024, according to Eurostat data, reflecting renewed growth in the sector after several years of relatively stable output. The figures were published in Eurostat’s 2026 edition of Key Figures on European Business, which examines developments across industries including manufacturing, technology, investment and tourism.

Rising Production Statistics

Wind turbine production fell sharply from 22,200 units in 2014 to 8,300 units in 2015 before stabilising between 6,800 and 12,000 units annually over the following years. Output increased significantly in 2024, reaching 15,500 units and marking the highest level recorded since 2014.

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Economic Impact And Strategic Imperatives

The value of wind turbine production reached €10.4 billion in 2024, highlighting the sector’s growing role within European manufacturing. Eurostat noted that production data for renewable energy technologies provide insight into industrial capacity, supply chains and Europe’s efforts to strengthen energy security. As the EU continues to expand renewable energy generation, domestic manufacturing remains an important factor in reducing dependence on external suppliers.

Driving A Resilient Future

The latest figures illustrate how the European wind turbine industry has recovered following a prolonged period of lower production levels. Growth in manufacturing capacity comes as EU policymakers continue to prioritise renewable energy investment and the expansion of clean energy infrastructure across the bloc.

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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.

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