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Cyprus Retail Sector Records Robust Growth In January

New data from the Statistical Service of Cyprus (Cystat) show that retail trade expanded in January, with both value and volume indices increasing year-over-year.

Retail Trade Gains Drive Economic Momentum

The value index of retail turnover rose 7.4%, while the volume index increased 8.3% compared with January 2025. The parallel rise in value and volume indicates higher sales receipts and increased quantities sold, pointing to sustained consumer demand at the start of the year.

Broad Economic Trends Foster A Positive Outlook

Retail growth aligns with broader domestic indicators. Manufacturing output increased 4.4% between January and November 2025, while authorized building permits reached 2,612,000 square meters, up 30.7% compared with the previous period. The construction data suggest continued investment activity across the sector.

Automotive And Trade Performance Highlight Economic Stability

Motor vehicle registrations rose 5.8% in 2025. Private saloon cars increased 3.2%, while light goods vehicles rose 6.9%. Inflation remained subdued, with the consumer price index increasing 0.1% year-over-year. External trade also expanded, with imports reaching €13.55 billion, up 7.7%, and exports rising 7% to €5.5 billion.

Surge In Tourism Strengthens Economic Recovery

Tourist arrivals totaled 4,534,073 between January and December 2025, up 12.2% compared with the previous year. Tourism remains a key contributor to overall economic performance, supporting services, retail, and transport activity.

Conclusion

January retail growth reflects broader expansion across manufacturing, construction, trade, and tourism. The data show continued economic activity across multiple sectors at the start of the year.

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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