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Cyprus Credit Acquisition Firms Wrestle With €19.7 Billion Loan Exposure

Overview Of The Financial Landscape

On June 30, 2025, Cyprus’ credit acquisition companies were reported to hold loans totaling €19.7 billion, as verified by the Central Bank of Cyprus. This figure underscores significant financial exposure within the sector, warranting a comprehensive examination of the underlying challenges.

Non-Performing Loans Dominate The Balance Sheet

Notably, an overwhelming €18.5 billion of the total loans have been classified as non-performing. This represents a staggering 94% of all outstanding loans, indicating severe liquidity and credit quality issues that could have far-reaching implications for both the domestic market and investor confidence.

Disaggregated Insights: Individuals Vs. Enterprises

The sector’s portfolio reveals stark contrasts between different borrower groups. Loans extended to individuals amounted to €9.9 billion, with €9.3 billion impaired. In parallel, loans to legal entities reached €9.75 billion, of which €9.27 billion were non-performing. These figures reflect common challenges across various client segments and highlight the pervasive nature of credit risks underpinning the industry.

Borrower and Asset Metrics

Credit acquisition companies manage a sizeable clientele of 69,494 borrowers while possessing a property stock of 8,079 units. The real estate portfolio is valued at approximately €974 million. This asset base, although significant, pales in comparison to the immense scale of non-performing liabilities.

Concluding Analysis

The concentration of non-performing loans, dominating 94% of total exposures, raises critical questions about risk management and operational resilience within Cyprus’ credit acquisition firms. Stakeholders and market regulators must closely monitor developments in this segment to mitigate potential systemic risks and safeguard financial stability.

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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