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European Union Birth Rates Hit Record Low In 2024

Declining Demographics Signal New Challenges

The latest demographic data from Eurostat indicates that the European Union has recorded its lowest birth rates since 2001. In 2024, the union witnessed 3.55 million live births, marking a 3.3% decline compared to the previous year’s 3.67 million births. This trend underscores persistent demographic challenges that are reshaping the region’s socioeconomic landscape.

Fertility Rates And Regional Variations

The overall EU total fertility rate dropped to 1.34 live births per woman in 2024, down from 1.38 the year before. Notably, Cyprus managed to post a slightly above average rate with 1.38 live births per woman. In contrast, countries like Greece are grappling with more severe declines, recording a rate of 1.24 live births per woman. These figures reflect varied regional pressures and highlight how countries across Southern and Eastern Europe are confronting similar demographic headwinds.

Comparative Insights Across Europe And Beyond

Outside the core EU nations, Turkey reported a fertility rate of 1.48 live births per woman. Within the union, Bulgaria led with the highest fertility rate at 1.72 live births per woman, followed by France at 1.61 and Slovenia at 1.52. Conversely, Malta’s fertility rate plummeted to a low of 1.01, with Spain and Lithuania following close behind at 1.10 and 1.11, respectively. These disparities emphasize the need for targeted policy responses to address the long-term implications of declining birth rates.

Implications For The Future

The sustained decrease in fertility rates, now well below the replacement level needed to maintain a stable population, presents complex challenges for the EU. Policymakers and business leaders alike must consider the far-reaching economic and social consequences of an aging population paired with declining birth rates. Strategic investments in innovation, healthcare, and labor market reforms will be critical to mitigating these challenges and ensuring sustainable growth in the years ahead.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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