Breaking news

Cypriot Banking Sector’s NPL Ratio Remains Steady Amid Strengthening Coverage

The Cypriot banking sector maintained a non-performing loans (NPL) ratio of 5.9 percent in May, mirroring the level reported in April 2025, according to the Central Bank of Cyprus. This stability underscores a cautious but resilient performance amidst evolving market conditions.

Stable Npl Ratio Highlights Consistency

The persistently steady NPL ratio signals that while banks face ongoing pressures, they are effectively managing risk levels. Maintaining a 5.9 percent ratio suggests that despite potential economic headwinds, the sector’s credit management protocols continue to perform reliably.

Rising Coverage Ratios Point To Strengthened Reserves

Another encouraging sign comes from the increasing coverage ratio of NPLs by impairment provisions, which climbed from 60.7 percent in April to 61.0 percent at the end of May 2025. This increment in coverage ratios fortifies the banks’ balance sheets, ensuring they have a more robust buffer against potential loan defaults.

Restructured Loans And Their Impact

By the end of May, total restructured loans reached €1.3 billion, of which €0.7 billion remain classified as non-performing. This segment of the portfolio remains a focal point for both regulators and bank management, as it continues to pose challenges amidst efforts to recalibrate and stabilize credit extensions.

In summary, the consistent NPL ratio combined with improved impairment provisions reflects an industry that is not only navigating current challenges but also strategically reinforcing its financial safeguards. As the sector adapts to market dynamics, these indicators will remain crucial for gauging overall financial health and guiding future policy adjustments.

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.

Uol
The Future Forbes Realty Global Properties
Aretilaw firm
eCredo

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter