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Cyprus Wholesale Trade Turnover Rises 9.3% In Q4 2025

Overview

Recent figures released by the Cyprus Statistical Service (Cystat) indicate a robust performance in wholesale trade during the fourth quarter of 2025, with a marked increase in turnover. Conversely, activity within the motor vehicles sales and repair sector maintained stability relative to the same period in the previous year.

Quarterly Performance Insight

In the fourth quarter of 2025, the turnover value index for wholesale trade (division 46) increased by 9.3% compared with the fourth quarter of 2024. The turnover value index for motor vehicle sales and repair (division 45) recorded no significant change during the same period.

Annual Trends And Broader Implications

Examining the full year, the annual turnover value index for wholesale trade climbed by 5.9%, reinforcing the momentum observed in the final quarter. Meanwhile, the motor vehicles sector experienced a more modest annual uptick of 3.0%, reflecting steady, moderate growth despite a stagnant performance in Q4.

Business leaders and market analysts may interpret these trends as an indication of sustained expansion in wholesale trade operations, paralleled by a conservative yet steady progression in the automotive service arena. Such insights are essential for stakeholders gauging sector performance and strategic investment opportunities in the Cypriot market.

Conclusion

The latest statistical revelations from Cyprus illustrate a dynamic wholesale trade sector benefiting from a significant quarterly uplift, while the motor vehicles segment maintains stability. As these trends continue to develop, they will undoubtedly influence both policy formulation and strategic business moves in the region.

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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