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Cyprus Loans Rise €528M In March As Deposits Increase €426M

The Central Bank of Cyprus reported increases in lending and deposit activity for March 2026. The data show changes in credit expansion and liquidity conditions across the banking system.

Substantial Loan Growth

Total loans increased by €528.1 million in March, compared with a €326.2 million rise in February. The annual growth rate reached 12.6%, up from 12.3% in the previous month. As a result, the total outstanding loan balance rose to €27.9 billion, reflecting continued expansion in credit activity.

Focus On Residential And Corporate Lending

Loans to Cyprus residents increased by €72.3 million. Within this total, household lending rose by €52.3 million, while loans to non-financial corporations increased by €37.3 million. At the same time, lending to other domestic sectors declined by €17.3 million, indicating a shift in the distribution of credit across segments.

Enhanced Deposit Activity Bolsters Liquidity

Deposit activity also increased during the same period. Total deposits rose by €426.8 million in March, compared with €202.2 million in February. This development pushed the annual growth rate to 5.6% from 4.7%, with the total deposit balance reaching €57.8 billion.

Diverse Contributions Across Sectors

Deposits from Cyprus residents increased by €344.1 million. Within this category, household deposits declined by €138.1 million, while deposits from non-financial corporations rose by €158.3 million. In parallel, deposits from other domestic sectors increased by €323.9 million. These sectors include investment organizations, financial intermediaries, auxiliary financial institutions, insurance companies, pension funds, and government entities.

Market Resilience And Forward-Looking Insights

Taken together, the data show increases in both lending and deposit activity across the banking system. Credit expansion and deposit inflows are moving in parallel, affecting overall liquidity conditions. Future developments will depend on credit demand, deposit behaviour, and broader economic conditions.

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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