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Cypriot Banking Stability: Ongoing Resilience Amid Geopolitical Uncertainty

Stable Non-performing Loan Ratio Under Pressure

The Central Bank of Cyprus confirmed a steady non-performing loan ratio of 5.5% as of the end of August 2025. This stability comes despite a backdrop of significant geopolitical disruptions, underscoring the sector’s robust financial foundation.

Improved Provision Coverage and Enhanced Credit Quality

By applying the European Banking Authority’s Risk Dashboard methodology, which encompasses loans and advances to Central Banks and Credit Institutions, the NPL ratio showed signs of improvement, declining to 2.8% from 2.9% over the previous month. Additionally, the coverage ratio of non-performing loans with provisions increased to 62.6%, up from 62.2% in July, illustrating a cautious yet proactive approach to risk management.

Diversified Lending Practices Amid Market Shifts

Total restructured loans reached €1.2 billion at the close of August 2025, with half of this sum (€0.6 billion) categorized as non-performing. In parallel, net new loans in Cyprus experienced a modest decline, as highlighted by the Central Bank of Cyprus. In a recent report, new loans in Cyprus fell by €18.5 million in October, primarily due to a deceleration in corporate credit activity. Nevertheless, housing and consumer loans have shown resilience, with housing lending reaching €117.5 million and consumer loans also gaining momentum.

Rising Interest Rates And Liquidity Advantages

Interest rates saw increases across key segments, with mortgage rates climbing to 3.73% and consumer loans to 6.88%. While Cyprus’s lending rates are in line with the Eurozone median, deposit rates remain comparatively low. The Central Bank of Cyprus attributes this discrepancy to the exceptional liquidity position of Cypriot banks, as evidenced by a liquidity coverage ratio of 329%—a competitive advantage in today’s challenging market 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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