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Cyprus Central Bank Upholds 1.5% Countercyclical Capital Buffer

Strategic Regulatory Decision

The Central Bank of Cyprus has announced its decision to maintain the countercyclical capital buffer (CCyB) for exposures in the Republic of Cyprus at 1.5 percent. This decision reaffirms the bank’s commitment to a robust financial regulatory framework, ensuring sufficient capital reserves to mitigate economic downturns and stabilize the banking sector.

Consistency in Policy Implementation

The current decision, implemented following the previous announcement on January 14, 2025, marks a deliberate stance toward preserving the enhanced buffer rate. The bank emphasized that the updated rate of 1.5 percent will be effective from January 14, 2026, reinforcing a systematic approach to capital adequacy requirements.

Comparative Context and Financial Implications

Previously, the CCyB rate was set at 1 percent. The increase to 1.5 percent reflects the Central Bank’s proactive measures to support a resilient financial ecosystem. This adjustment is designed to provide additional support during periods of economic stress, positioning the Cypriot banking sector to better absorb shocks and sustain lending activities in volatile market conditions.

Future Outlook

As the economic landscape continues to evolve, this decision represents a strategic move in anticipation of future challenges. By opting to uphold the elevated CCyB rate, the Central Bank of Cyprus is signaling a forward-looking perspective, ensuring that capital buffers are sufficiently robust to accommodate emerging risks without compromising credit availability.

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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