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Central Bank Of Cyprus Reports €28 Billion In Total Assets And Liabilities

The Central Bank of Cyprus (CBC) today disclosed that its total assets and liabilities have reached €27.99 billion as of the end of February 2026. In a detailed balance sheet release, the bank outlined the composition of its portfolio, underscoring stronger intra-Eurosystem positioning and diversified liabilities.

Strategic Asset Allocation

The financial institution’s balance sheet revealed that intra-Eurosystem claims constituted the bulk of its assets, totaling €18.33 billion. Equally significant, the CBC’s holdings in gold and gold receivables were valued at €1.64 billion, reinforcing its traditional store-of-value strategy. Smaller segments include claims on residents outside the euro area denominated in foreign currency at €1.10 billion, compared with €0.59 billion in euro-denominated claims on the same group.

Diverse Portfolio Components

Securities of euro area residents denominated in euros totaled €6.17 billion. Additional components included €0.02 billion in foreign currency claims on euro area residents and €0.14 billion classified as other assets. These figures reflect the distribution of assets across different categories.

Liabilities And Monetary Policy Operations

On the liabilities side, the CBC reported that monetary policy operations with credit institutions dominated, amounting to €17.12 billion. Additionally, the bank accounted for €3.22 billion in banknotes in circulation alongside €3.73 billion owed to the general government. Future risk provisions and revaluation accounts were maintained at €0.60 billion and €1.64 billion respectively, ensuring a buffer for volatility in evolving market conditions.

Capital And International Obligations

Capital and reserve holdings stood at €0.33 billion, supporting the institution’s ongoing financial solidity. Moreover, the bank recognized €0.49 billion as liabilities linked to the special drawing rights allocated by the International Monetary Fund, reflecting its engagements on the international stage.

Overall, the CBC’s comprehensive disclosure provides a clear roadmap of its asset allocation and liability management, reinforcing its role as a key pillar in the region’s financial stability.

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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