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Central Bank of Cyprus Data Highlights Robust Growth in December 2025

Overview Of December Financial Trends

Recent data released by the Central Bank of Cyprus (CBC) underscores a strong performance in the nation’s monetary market. The report, detailed in the CBC’s Monetary and Financial Statistics January 2026 edition, shows that the annual growth rate for deposits reached 6.50 percent while loans increased at an annual rate of 10.70 percent in December 2025.

Deposits Performance And Seasonal Influences

Total deposits witnessed a net increase of €877.10 million in December 2025, a notable rise from the €330.80 million increase recorded in November 2025. The aggregate deposit base reached €58.70 billion by year’s end. This growth, which recorded an annual rate of 6.50 percent—the slight downbeat from November’s 6.70 percent—is largely attributed to seasonal influences. Notably, Cyprus residents contributed a significant increase of €948.30 million, with household deposits rising by €622.30 million. Deposits by non-financial corporations and other domestic sectors added €51.20 million and €274.80 million, respectively.

Robust Expansion In Loan Portfolios

The loan segment demonstrated an even more vigorous performance. Total loans saw a net increase of €587.20 million in December 2025, compared to just €71.50 million in November. This surge boosted the outstanding loan balance to €27.10 billion, while the annual growth rate edged up to 10.70 percent from 10.50 percent the previous month. Disaggregated data indicates that loans to Cyprus residents increased by €250.50 million. Specifically, household loans grew by €113.00 million, and lending to non-financial corporations expanded by €150.10 million, albeit with a modest overall decline of €12.60 million in loans to other domestic sectors.

Implications For The Monetary Landscape

The findings illuminate a dynamic and evolving monetary landscape in Cyprus, where both deposit and lending activities are moving in tandem with economic cycles influenced by seasonal trends. This robust financial performance not only reflects increased confidence among households and businesses but also sets the stage for a more resilient banking sector moving forward.

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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