Cyprus Government Surplus Rises Amid Elevated Expenditure in Key Sectors

Robust Fiscal Position Despite Increased Spending

Cyprus has demonstrated resilient fiscal management with a general government surplus of €551.2 million from January to May 2025, representing 1.6% of GDP, according to preliminary data released by the Statistical Service of Cyprus (Cystat). This marginal increase from the €542.6 million surplus in the same period of 2024 underscores the nation’s ability to maintain a favorable balance even as spending intensifies across key sectors.

Stronger Revenue Streams Drive the Surplus

The fiscal report highlights a notable boost in total government revenue, which climbed by €310.8 million to reach €5.9 billion—a 5.6% increase compared to the corresponding period in 2024. Income and wealth taxes led the charge, surging by 11.1% to €1.37 billion, while social contributions increased by 8.8% to €1.96 billion. Remarkably, property income more than doubled, rising significantly from €41.1 million to €92.8 million, reinforcing the diversified nature of the revenue portfolio.

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Balanced Growth in Specific Revenue Categories

Revenues stemming from the sale of goods and services and taxes on production and imports also experienced healthy growth, increasing by 7.8% to €401.5 million and by 1.7% to €1.91 billion, respectively. However, among these, the net VAT collection noted a slight decline of 1.0%, reflecting modest adjustments in this segment. Conversely, current and capital transfers saw significant downturns, dropping 36.4% and 60.5%, respectively, suggesting a strategic focus on direct revenue enhancements.

Expenditure Expansion and Strategic Allocation

On the expenditure front, government spending rose by 6% to €5.35 billion compared with the previous year. Increased compensation for employees, social benefits, and intermediate consumption indicate targeted investments in the country’s workforce and social infrastructure. Moreover, the capital account expanded robustly by 27.7%, driven by an 18.0% rise in gross capital formation and nearly doubling of other capital expenditures, signaling ongoing commitments to long-term capital projects.

Conclusion: A Delicate Fiscal Balance

The fiscal trajectory reported by Cystat reflects a balanced approach: while key revenue streams are strengthening and contributing to a surplus, rising expenditures and selective cuts in transfer payments illustrate deliberate fiscal recalibration. This dynamic suggests a government focused on sustainable growth and the strategic management of public resources, even in a challenging economic milieu.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

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.

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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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