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Cyprus Banking Performance: Enhanced Loan Quality and Capital Resilience Amid Profitability Setbacks

The Central Bank of Cyprus has released its latest financial data for the period ending June 30, 2025, offering a comprehensive view of the evolving dynamics within the nation’s banking sector. Notable improvements in loan quality and capital ratios are juxtaposed against a decline in overall profitability.

Declining Nonperforming Loans Ratio

Data indicate that the nonperforming loans (NPL) ratio across the Cypriot banking sector decreased to 5.6% as of June 2025, compared with 6.1% in March 2025. This reduction is largely attributable to currency fluctuations, proactive repayments, positive migratory shifts into performing categories, and strategic write-offs. Such developments underscore a commitment among banks to mitigate credit risk and bolster asset quality.

Enhanced Provisioning and Loan Restructuring

In tandem with the improved NPL ratio, the coverage ratio for nonperforming loans with provisions experienced an uptick, reaching 62% at the end of June 2025 from 60.5% in March 2025. Total restructured loans were reported at €1.2 billion, with €0.6 billion remaining classified as non-performing. These figures illustrate the banks’ enhanced risk management and resolve in addressing legacy issues while fortifying their balance sheets.

Profitability Dynamics and Asset Growth

Conversely, profitability dipped by €25 million, declining from €603 million in June 2024 to €578 million in June 2025, primarily driven by a reduction in net interest income. Despite this short-term setback, the sector experienced a modest yet significant asset growth, with total assets expanding from €66.02 billion in March to €66.97 billion in June 2025 – an increase of €950 million or 1.4%, fueled predominantly by a rise in loans and advances.

Strengthening Capital Adequacy

Capital ratios also received a boost, with the Common Equity Tier 1 (CET1) ratio rising by 0.4 percentage points from 25.9% to 26.3%. This improvement reflects a robust capital expansion that effectively counterbalanced the increase in total risk exposure, enhancing the resilience of banks in a challenging economic environment.

Overall, the updated metrics from the Central Bank of Cyprus reveal a banking sector that is strategically navigating its risk landscape while laying the groundwork for sustainable growth amid evolving market 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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