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Cyprus Property Market Sees Sustained Growth In February 2026

Market Overview

Property sales in Cyprus increased by 12% in February 2026 compared with the same month a year earlier, according to data from the Department of Lands and Surveys. A total of 1,537 properties were sold during the month, up from 1,371 in February 2025.

The latest figures follow an 11% increase recorded in January and a 24% rise in December 2025, indicating continued momentum in the property market at the start of the year.

Regional Dynamics

Limassol recorded the strongest growth among Cyprus districts, with transactions rising by 24% year on year. The district registered 482 property sales compared with 389 during the same period last year, maintaining the highest transaction volume nationwide.

Activity in the Famagusta district also remained strong. Sales increased by 21% to 63 transactions, although the pace of expansion slowed slightly compared with the 23% growth recorded in January.

Elsewhere, Paphos posted a 14% increase in sales, rising from 280 to 319 transactions. Growth in the district moderated compared with the 25% increase reported at the beginning of the year.

Nicosia recorded a more gradual increase of 5%, reaching 332 transactions from 315 a year earlier. Larnaca registered modest growth of 2%, with 341 properties sold compared with 335 in February 2025.

Year-to-Date Analysis

Across Cyprus, property sales during the first two months of 2026 increased by 11% compared with the same period in 2025. The strongest performance was recorded in the free Famagusta district and Paphos, where transactions rose by 22% and 19% respectively.

This performance follows a strong year for the property sector in 2025. A total of 18,114 sales documents were filed, the highest annual level since 2007 and a 15% increase compared with the 15,797 recorded in 2024. The latest data indicate that the Cypriot property market continues to attract both domestic and international buyers, with transaction activity remaining elevated across most districts.

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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