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Five EU Countries Account For Two-Thirds Of Road Freight

Five Countries Account For Two-Thirds Of EU Road Freight

Road freight transport across the European Union continued to grow in 2025, highlighting the dominant role of a handful of member states in the bloc’s logistics network. According to Eurostat, total road freight reached 1,886 billion tonne-kilometres, up 0.9% from a year earlier, while the volume of goods transported increased by 1.8% to 13.3 billion tonnes.

Poland Remains The Largest Freight Market

Poland retained its leading position with 381.0 billion tonne-kilometres, accounting for 20.2% of all EU road freight activity. Germany ranked second with 277.4 billion tonne-kilometres (14.7%), followed closely by Spain with 272.6 billion tonne-kilometres (14.5%).

France and Italy completed the top five, recording 172.9 billion and 161.7 billion tonne-kilometres, respectively. Together, the five countries accounted for 67.1% of all road freight transport across the European Union.

Domestic Transport Continues To Dominate

National transport within individual member states remained the largest segment, representing 62.2% of all road freight measured in tonne-kilometres. Direct international transport accounted for 24.4%, while cross trade represented 10.7% and cabotage the remaining 2.7%.

Domestic transport recorded the strongest growth, rising 2.2% year on year. International transport increased by 0.3%, while cross trade and cabotage declined by 3.7% and 3.0%, respectively.

Germany Anchors Europe’s Cross-Border Freight Network

Measured by the weight of goods transported, the busiest cross-border corridor remained the route between Germany and the Netherlands, with 86.9 million tonnes moved during the year. Germany and Poland followed with 68.4 million tonnes, ahead of Belgium and France with 55.9 million tonnes.

Germany appeared as either the origin or destination in six of the EU’s ten busiest bilateral freight routes, underscoring its central role in Europe’s road freight network.

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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