EU Unemployment Reaches Historic Lows, Long-Term and Youth Rates Show Significant Improvement

by THEFUTURE.TEAM

November 11, 2024

According to the latest data from Eurostat, unemployment across the European Union has fallen to its lowest levels in recent history. The statistics reveal a decline in the number of people out of work, with only a little over 6% of the working-age population currently unemployed.

Key Statistics

Overall Unemployment: In 2023, the EU’s unemployment rate for those aged 15-74 stands at 6.1%, the lowest since 2014.
Long-Term Unemployment: The rate of long-term unemployment, measuring those out of work for over a year, has also hit a new low, at 2.1% of the labour force in 2023.
Highest Long-Term Unemployment: Greece reports the highest long-term unemployment rate within the EU at 6.2%, followed by Spain at 4.3% and Italy at 4.2%.
Lowest Long-Term Unemployment: Denmark and the Netherlands report the lowest rates, both at 0.5%.

Youth Unemployment at Record Low

Youth unemployment, defined as those aged 15-29, has also dropped to a record low of 6.3% in 2023, marking a continuing downward trend. However, disparities between countries are noticeable:

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Highest Youth Unemployment: Sweden has the highest youth unemployment rate in the EU at 10.9%, closely followed by Spain (10.8%) and Greece (9.8%).
Lowest Youth Unemployment: The Czech Republic leads with the lowest rate at 2.4%, with Bulgaria (3.2%) and Germany (3.3%) close behind.

This data highlights significant strides in labour market recovery and stability across the EU, although variances remain between member states. Countries like Greece and Spain continue to experience challenges, particularly in reducing long-term and youth unemployment rates. However, the overall trend points to a stronger labour market, with more EU citizens gaining employment and fewer experiencing prolonged joblessness.

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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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