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Public Sector Employment In Cyprus Sees Moderate Growth Amid Structural Reshuffle

Employment figures for Cyprus’ broad public sector reached 77,314 in the second quarter of 2025, according to new data released by the Statistical Service (Cystat). The comprehensive update highlights significant trends across government branches and publicly owned enterprises.

Steady Growth In Government Roles

Within the aggregate public sector, 72,275 individuals were employed by general government, and an additional 5,039 worked for publicly owned enterprises and companies. A closer look at the general government segment reveals separations of 55,208 in central government, 11,185 in non-profit organizations, and 5,882 in local authorities. Compared to the same quarter in 2024, there was an overall increase of 1,600 jobs, marking a 2.1% growth in public sector employment.

Structural Reallocation And Local Authority Expansion

The central government added 969 positions—a 1.5% rise—while local authorities experienced a substantial surge with an increase of 1,295 jobs or 28.2%. This shift is closely linked to administrative changes following the establishment of district local government organizations (DLGOs) on July 1, 2024, which have assumed responsibilities for water and sewerage boards. Conversely, publicly owned enterprises and companies recorded a decline of 664 positions, reflecting an 11.6% reduction within that sector.

Sequential Quarterly Adjustments

When viewed quarterly, total employment in the broad public sector rose by 280 jobs (0.4% growth) from the first quarter of 2025. Specifically, local authorities continued their upward trajectory with a 5.4% increase (301 jobs), and publicly owned enterprises saw a modest gain of 77 positions (1.6%). In contrast, the central government experienced a slight contraction with a decline of 98 positions (0.1%).

These data points suggest that while the overall public sector is on a growth path, strategic reallocations—particularly the rise in local authority employment and restructuring of publicly owned enterprises—are reshaping the employment landscape in Cyprus.

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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