Breaking news

EU Trade Surplus Rebounds As Export Sectors Drive Growth In Q4 2025

Robust Recovery In European Trade

The European Union recorded a trade surplus of €28.4 billion in the fourth quarter of 2025, with exports to non-EU countries continuing to exceed imports. According to Eurostat data, the result extends the recovery trend that began in the third quarter of 2023.

Key Export Sectors Fueling Growth

Chemicals and related products generated the largest surplus at €49.3 billion. Machinery and vehicles followed with a surplus of €42.3 billion, while food, drinks and tobacco added €10.8 billion. Miscellaneous goods contributed €7.1 billion, reflecting broad-based export strength across multiple sectors.

Addressing Persistent Challenges

The energy sector remained the main drag on the trade balance, posting a deficit of €62.7 billion. Other manufactured goods and raw materials also recorded deficits of €11.0 billion and €7.5 billion respectively, highlighting continued structural pressures in import-dependent categories.

Cooling Global Trade Dynamics

Data from the fourth quarter of 2025 also revealed a contraction in global trade activity. Total imports decreased by 1.4% while exports dropped by 0.8% compared to the previous quarter. These declines, marking three consecutive quarters of reduction for both categories, signal a potential cooling in global trade volumes that European businesses will need to navigate carefully moving forward.

Looking Ahead

The latest figures reveal both the strengths and vulnerabilities of current European trade dynamics. As the EU continues to leverage its competitive export sectors amidst challenging external pressures, policymakers and industry leaders alike must remain vigilant to maintain this upward trend while addressing persistent deficits in energy and certain manufactured categories.

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.

Aretilaw firm
eCredo
The Future Forbes Realty Global Properties
Uol

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter