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Cyprus Banking Sector Sees Modest Yet Resilient Growth In Deposits And Loans

Overview

The Central Bank of Cyprus (CBC) reported a sustained increase in both bank deposits and loans throughout November 2025, underscoring steady household savings and a tempered expansion in credit despite a notable deceleration compared to October.

Domestic Deposit Surge

In November, total deposits experienced a net increase of €330.8 million, albeit lower than the €412.3 million recorded in the previous month. Notably, residents of Cyprus spearheaded this growth, contributing €258.6 million to the overall gain and pushing the deposit balance to €57.9 billion. This robust domestic performance is reflected in an annual growth rate that climbed to 6.7% from 6.3%, highlighting enduring confidence among local savers.

Measured Credit Expansion

Meanwhile, loan figures indicated a net rise of €71.5 million month-on-month, even though the momentum slowed compared to the €336.6 million surge in October. Household borrowing played a pivotal role, with €50.3 million of the increase directly attributed to consumer finance and housing loans. This trend is underscored by the annual loan growth rate, which edged upward to 10.5% from 10.2% in October, demonstrating a cautious yet ongoing expansion in domestic credit.

Strategic Economic Implications

The analyzed data underscores a dual narrative: while consumers continue to trust local banking institutions with their savings, there is a measured approach to further credit allocation. The balance between robust domestic deposits and a moderated lending environment reveals an economy that is both resilient and strategically cautious in its expansion efforts. These factors together offer vital insights for investors and policymakers tracking economic trends in Cyprus.

Conclusion

Ultimately, the latest statistics from the Central Bank of Cyprus highlight an evolving banking landscape where domestic savers remain pivotal. The overall figures, marked by steady credit growth and a strong deposit base, reflect both the opportunities and challenges inherent in maintaining economic stability in a dynamic global 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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