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Eurostat’s February 2026 Retail Report: Divergent Trends Across Europe

Overview Of European Retail Activity

Eurostat data show a slight decline in retail trade across the euro area and the European Union in February 2026, with uneven performance across member states. While overall volumes decreased, several markets, including Cyprus and Malta, recorded growth.

Monthly Performance Insights

Seasonally adjusted data indicate that retail trade volume fell by 0.2% in the euro area and by 0.3% in the EU compared with January 2026. January figures had remained broadly stable, suggesting that consumer activity slowed slightly at the start of the year rather than reversing sharply.

Sector-Specific Breakdown

Category-level data show mixed performance across segments. Food, drinks, and tobacco volumes declined by 0.5% in the euro area. Non-food products excluding automotive fuel remained stable, indicating limited movement in discretionary spending. Automotive fuel sales increased by 0.7% in the euro area and 1.0% in the EU, partially offsetting declines in other categories.

Divergent National Trends

Performance varied across member states. Cyprus recorded a 0.8% increase in retail trade, matching Portugal. Malta reported the strongest monthly growth at 2.0%, followed by Bulgaria at 1.0%. At the same time, declines were recorded in Lithuania at 2.5%, Poland at 2.4%, and Slovenia at 2.0%, reflecting differences in consumer demand across markets.

Annual Trends And Market Resilience

Year-over-year data show moderate growth despite monthly declines. Retail sales increased by 1.7% in both the euro area and the EU compared with February 2025. Food, drinks, and tobacco recorded annual growth of 1.0% in the euro area. Non-food products rose by 2.3%, while automotive fuel sales increased by 1.4% in the euro area and 1.6% in the EU.

Conclusion

February data point to slower short-term retail activity alongside continued annual growth. Differences across sectors and countries suggest that consumer demand remains uneven across the region, with some markets continuing to expand while others contract.

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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