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Consumer Credit Trends In Cyprus: Rising Costs Amid Declining Lending Volumes

Overview Of Shifting Monetary Trends

Recent statistics from the Central Bank of Cyprus signal a marked increase in consumer credit costs throughout July 2025, coupled with a significant contraction in new lending volumes. These insights, drawn from the August 2025 monetary and financial statistics report, underscore the evolving economic landscape in Cyprus.

Interest Rate Trends Across Deposits And Loans

Household deposit rates for maturities of up to one year decreased modestly to 1.08% from 1.13% in June, while non-financial corporations saw a corresponding rise to 1.21% from 1.18%. On the lending side, consumer credit interest rates increased from 7.01% to 7.40% within the same period, even as loans for house purchases slightly declined from 3.95% to 3.87%. The central bank highlights that this variation reflects the diverse risk profiles inherent in loans for primary residences, holiday homes, and other property types.

Corporate Lending: A Bifurcated Outlook

Non-financial corporations experienced differential trends. Loans up to one million euros witnessed a decrease in average interest rates from 4.39% to 4.29%, whereas larger loans exceeding one million euros saw rates edge upward from 4.04% to 4.29%. This bifurcation points to the nuanced dynamics influencing corporate borrowing amid prevailing economic conditions.

Declining New Lending Volumes

In July 2025, the overall pure new lending volumes sharply declined to €445.3 million from €743.5 million in June. Specific segments such as housing loans and loans for non-financial corporations also experienced notable reductions, with only a marginal increase in new consumer loans. This declining trend reflects a broader market caution as the economic environment adapts to changing interest rates.

Comparative Insights Within The Euro Area

Cyprus’ loan interest rates remain close to the euro area median, although still slightly above regional averages. Household loans averaged 4.05% in July compared to the euro area’s 3.96%, and non-financial corporate loans stood at 4.31% versus a regional average of 3.79%. These comparisons highlight the competitive yet distinct positioning of Cyprus within the broader European financial landscape.

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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