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Cyprus Budget Surplus Narrows As Fiscal Expenditures Accelerate In Early 2025

Overview Of Fiscal Trends

Preliminary data from the Cyprus Statistical Service indicates a contraction in the budget surplus for the first nine months of 2025. The surplus shrank to €1.17 billion—3.2% of GDP—from €1.34 billion, or 3.9% of GDP, recorded during the same period last year. This decline reflects a scenario where government spending has outpaced revenue gains.

Robust Revenue Gains

Total government revenues rose by €650.10 million (6.2%), reaching €11.20 billion compared to €10.55 billion in 2024. Key revenue streams showed significant improvements: taxes on income and wealth increased by €182.20 million (6.7%) to €2.89 billion, while social contributions grew by 7.3% to €3.47 billion. Notably, property income surged by 77.6% to €128.60 million, and revenue from the sale of goods and services climbed 17.9% to €765.00 million. However, taxes on production and imports and VAT collections evidenced only modest growth.

Accelerating Expenditures

On the expenditure side, total spending experienced a significant rise of €824.90 million (9.0%), reaching €10.03 billion. Increases were evident in several key areas: employee compensation—including social contributions and civil service pensions—grew by 6.5% to €2.87 billion, and social benefits advanced by 7.2% to €4.08 billion. Intermediate consumption saw an uptick of 7.6%, while the capital account expanded dramatically by 55.9% to €1.04 billion, driven by a 29.0% increase in gross capital formation and a marked rise in other capital expenditures. Conversely, declines were noted in interest payments, current transfers, and subsidies.

Implications For fiscal Management

The fiscal report underscores a dynamic shift in Cyprus’s budgetary landscape, where revenue enhancements are partially counterbalanced by significant upticks in expenditure, particularly in capital investments. Such trends necessitate careful fiscal management to balance growth initiatives with budgetary discipline. Analysts and policymakers will be closely monitoring these developments as they assess the broader implications for economic stability and long-term fiscal sustainability.

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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