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Cyprus Surplus Hits €1.24B In 2025 As Debt Remains At 55%

Cyprus recorded a fiscal surplus of €1.24 billion in 2025, equivalent to 3.4% of GDP, according to preliminary data from the Cyprus Statistical Service. Public debt stood at €20.08 billion, or 55% of GDP, remaining below the European Union reference threshold.

Ensuring Fiscal Stability

The figures were validated under the Excessive Deficit Procedure, which assesses member states’ compliance with fiscal rules. Verification under this framework indicates alignment with EU budgetary requirements and supports Cyprus’ position as a fiscally stable economy within the bloc.

Revenue Growth Dynamics

Total revenues increased by €1.17 billion, or 7.9% year on year, to €15.92 billion, up from €14.75 billion in 2024. Growth was supported by higher tax and contribution inflows. Revenue from income and wealth taxes rose by 10% to €4.18 billion, while social contributions increased by 8.5% to €4.9 billion. Net VAT revenues declined slightly by 0.5% to €3.15 billion. At the same time, income from goods and services rose by 20.5%, and current transfers increased by 22.9%, contributing to overall revenue expansion.

Strategic Expenditure Management

Government spending rose by €1.37 billion, or 10.3%, to €14.68 billion, up from €13.31 billion in 2024. Social benefits increased by 6.7% to €5.66 billion, while compensation of public employees grew by 7.3% to €4.16 billion. Capital expenditure recorded the largest increase, rising by 45.1% to €1.75 billion, reflecting higher investment activity. Spending on property income payable declined by 4%, while subsidies fell by 14.4%.

Positioning For Future Growth

The 2025 results show continued surplus generation alongside controlled public debt levels. Maintaining debt below 60% of GDP aligns with EU benchmarks and supports fiscal flexibility, while revenue growth and investment spending indicate ongoing economic activity.

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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