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Cyprus Public Sector Employment Increases 1.8% In 2025

Total employment in the broad public sector in Cyprus reached 78,124 in the fourth quarter of 2025, according to data released by Cyprus Statistical Service (Cystat). The figure includes employees in general government, local authorities, non-profit organizations and government-controlled enterprises.

Robust Growth In General Government Employment

Employment in the general government reached 73,006 in the fourth quarter of 2025. This category includes central government institutions, non-profit organizations and local authorities. Government employment totaled 55,215 individuals. Non-profit organizations accounted for 11,566 employees, while local authorities employed 6,225 people.

Sustained Annual Increases

For the full year 2025, employment in the broad public sector averaged 76,726. This represents an increase of 1,373 employees compared with 2024, equivalent to a 1.8% rise. Employment in general government increased by 1,684 people during the year. This corresponds to a 2.4% increase compared with 2024.

Contrasting Trends In Publicly Owned Enterprises

Employment in government-controlled companies and enterprises declined during the year. These entities recorded 311 fewer employees compared with 2024, representing a decrease of 5.8%. However, employment in these organizations increased during the fourth quarter alone. The sector recorded an increase of 152 employees, equivalent to 3.1%.

Local Authority Acceleration

Employment in local authorities increased by 585 employees compared with the same quarter in 2024. This corresponds to a rise of 10.4%. District local government organizations accounted for most of the increase. Employment in these bodies rose by 427 employees, representing an increase of 48.4%.

Strategic Implications

These figures illuminate ongoing trends in Cyprus’ public sector, where strategic adjustments in staffing not only influence service delivery but also reflect broader governmental responses to evolving economic and social imperatives. Stakeholders across the public and private sectors will be closely monitoring these developments as they assess the long-term implications for policy and public administration efficiency.

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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