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Cyprus Sees Rise In Auctions Of Homes Priced Below €350,000

A confidential report from the Central Bank of Cyprus (CBC) reveals a striking upward trend in the auction of primary residences, particularly those valued below €350,000, marking a significant financial shift in the local property market.

Overview Of Auction Trends

The lifting of a moratorium on the sale of properties valued up to €350,000 in early 2024 led to a noticeable rise in auctions. Data obtained by Stockwatch shows a steady increase in the number of primary residences entering the auction process following the policy change. In the third quarter of 2025, most of the 98 homes auctioned fell within this lower-value category.

Data Reveals Sharp Increases

Q3 2025 figures show that 93 of the 98 auctioned homes were valued below €350,000, while only five exceeded that threshold. This represents a sharp increase compared with earlier quarters in 2024, when only five to six primary residences were auctioned. The data also shows that 77 of the lower-value properties were repurchased by mortgage lenders after the first auction, indicating growing financial pressure on borrowers.

Loan Repossession And Legal Implications

Under the Immovable Property (Transfer and Mortgage) Law, the auction process typically allows four to six months between initial notice and sale, although legal objections and restructuring efforts can delay proceedings. During Q3 2025, authorities issued 731 auction-related notices to borrowers with properties valued below €350,000, compared with 81 notices for higher-value homes.

Legislative Efforts And Future Outlook

Legislative measures aimed at protecting borrowers remain pending. A law passed at the end of 2023 to establish a specialized court for foreclosure cases has not yet been implemented. Recent changes expanding the powers of the Financial Commissioner allow more borrowers to seek out-of-court restructuring, although decisions remain non-binding. Around 30 legislative proposals are currently under discussion, with parliamentary debate expected as elections approach.

The rise in lower-value property auctions highlights increasing pressure on households and the wider property market. Policymakers now face growing calls to balance financial stability with stronger protections for vulnerable borrowers.

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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