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Cyprus Banking Sector Sees Robust Growth In Deposits And Lending

Overview Of Banking Performance

Deposits in Cyprus increased by 4.7% year-on-year in February 2026, while loans rose by 12.3%, according to the Central Bank of Cyprus. Data show continued growth in both savings and lending. Monthly figures indicate a rebound in deposits and acceleration in credit activity. Trends reflect demand from households and businesses.

Rising Deposits And Strengthened Liquidity

Total deposits increased by €202.2 million in February, reversing a €851.2 million decline in January. Deposit stock reached €57.2 billion. Household deposits rose by €104.1 million. The increase reflects continued inflows from residents and stable savings activity.

Accelerated Credit Expansion

Loans increased by €326.2 million in February, compared to €76.4 million in January. Annual growth rate rose from 11.2% to 12.3%. Total loan stock reached €27.3 billion. Data indicate increased borrowing from households and non-financial corporations.

Sector Specific Trends

Loans to Cyprus residents increased by €110 million. Growth included €54.9 million for households and €60.7 million for non-financial corporations. Deposits from non-financial corporations declined by €32.2 million. Other domestic sectors recorded an increase of €178 million.

Conclusion

The latest figures from the CBC indicate that the Cypriot banking system remains resilient, with both deposit growth and credit expansion underpinning stable financial conditions. With robust household savings and strengthened lending to key sectors, the trends observed in February 2026 could lay the groundwork for sustained economic momentum in the near term.

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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