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Cyprus Bank Deposits Exhibit Resilience Amid Loan Contractions

Robust Deposit Growth in August 2025

According to the latest deposit and loan statistics released by the Central Bank of Cyprus (CBC), bank deposits in Cyprus experienced a net increase of €44.3 million in August 2025, marking a notable recovery from July’s net decrease of €154.5 million. The annual growth rate of total deposits registered 6 percent, a slight reduction from the 6.5 percent observed in the previous month. The overall cumulative deposit balance reached €56.5 billion by the end of August, underscoring the sector’s resilience.

Diverse Impacts Across Sectors

Breaking down the figures further, deposits held by Cyprus residents saw an impressive rise of €133.6 million. Household deposits increased by €46.5 million, while non-financial corporate deposits surged by €152.7 million. In contrast, deposits in other domestic sectors experienced a decline of €65.7 million, highlighting a divergent performance across different segments of the market.

Declining Loan Volumes

While deposit inflows showcased strength, the CBC data revealed a net decrease in total loans by €60.8 million in August 2025. This downturn reverses the preceding month’s net increase of €74.9 million, though the annual growth rate of total loans remained solid at 7.2 percent, consistent with July’s performance. By the end of August, the overall balance of loans had adjusted to €26.4 billion.

Sector Specific Loan Analysis

Examining the loan portfolio, loans extended to Cyprus residents declined by €69.9 million. In detail, household loans fell by €15.5 million, and loans to non-financial corporations decreased by €48.6 million, while those from other domestic sectors dropped by €5.8 million. This contraction in lending activity reflects a cautious approach by financial institutions amid evolving economic conditions.

Implications for the Financial Landscape

The latest figures from the CBC suggest a nuanced financial landscape in Cyprus, where robust deposit growth coexists with a tightening of loan portfolios. This duality may indicate a shift in bank strategies, balancing the accumulation of stable deposits against more conservative lending approaches. For market participants, these trends warrant careful monitoring as they adapt to a dynamic economic environment.

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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