Cyprus Retail Trade Declines In January While EU Retail Activity Shows Slight Growth

Overview

Data from Eurostat show that Cyprus recorded a 0.8% decline in retail trade volume in January 2026, while the European Union registered a slight increase. Retail trade across the EU rose by 0.1% compared with December 2025.

Monthly Performance: Cyprus Versus The EU

In January 2026, the euro area recorded a seasonally adjusted decline of 0.1% in retail trade volume, while the EU posted a 0.1% increase. Cyprus moved in the opposite direction, with retail activity falling after small increases recorded in previous months. Retail trade had increased by 0.1% in December 2025 following a 0.9% rise in November.

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Sector-Specific Insights

Sector data for the euro area show mixed developments across retail categories. Sales of food, drinks and tobacco increased by 0.3% compared with the previous month. Non-food products excluding automotive fuel declined by 0.2%, while automotive fuel sold in specialised stores fell by 1.1%. Across the EU, sales of food, drinks and tobacco increased by 0.4%. Non-food products declined by 0.1%, while automotive fuel sales decreased by 1.0%.

Annual Growth And National Variations

On an annual basis, the calendar-adjusted retail sales index increased by 2.0% in the euro area and by 2.3% across the EU. Several countries recorded stronger monthly increases, including Estonia with a 4.4% rise, Latvia with 2.8%, and Portugal with 2.0%. Other member states reported declines during the same period, including Slovakia, Slovenia, and Croatia. Luxembourg recorded a 24.7% annual increase in retail sales. Lithuania and Estonia also reported higher annual growth rates.

Market Implications

The latest data illustrate differences in retail performance across EU member states and sectors. Variations between national markets and product categories continue to influence consumer spending patterns across the region.

For businesses and policymakers, these figures provide additional context for assessing developments in retail activity, particularly in markets where growth remains uneven. The contrast between Cyprus and the broader EU also highlights how national trends can diverge from wider regional patterns.

Eurostat’s data provide further insight into how retail sectors across the EU are evolving as companies adjust to changing consumer demand and economic conditions.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

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.

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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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