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Hotels, Clinics, And Tourist Apartments Dominate Cyprus Private Construction Costs

Overview Of 2023 Building Costs

The latest data from the Cyprus Statistical Service (Cystat) indicates that hotels incurred the highest construction costs in Cyprus’ private sector in 2023. Following closely were clinics and medical offices, with tourist apartments ranking third. This analysis draws from an annual building permit survey, highlighting average costs per square metre by dividing total project expenditures by total project area.

Variability In Data And Project Parameters

Cystat’s report cautions that the figures, while informative, are not fully representative of every category. Differences in materials, levels of luxury, and the functional purpose of each project mean that cost comparisons may vary significantly. Moreover, for certain categories where few projects were undertaken, the averages may not adequately reflect the market reality.

Cost Breakdown Across Sectors

According to the report, the average cost per square metre in 2023 stood at €2,202 for hotels, €1,988 for clinics and medical practices, and €1,775 for tourist apartments. The data continues with restaurants at €1,651, educational institutions at €1,306, houses at €1,214, and apartments at €1,075. Industrial buildings averaged €727 per square metre, warehouses €781, while agricultural buildings were significantly lower at €213. It is important to note that these calculations include fees for architectural, engineering studies, planning and permits, labour, and materials, though they exclude land value.

Market Insight: Projections For 2025

Industry professionals have signalled that the actual cost of constructing a house or apartment is anticipated to rise substantially by 2025. On privately owned land, the realistic figure now hovers around €1,700 per square metre, potentially escalating to approximately €2,500 based on material quality and construction specifics. Analysts emphasize that quoted prices below €1,700 often do not encapsulate the complete scope of work, which invariably includes exterior spaces and ancillary structures.

As the construction market continues to evolve in Cyprus, stakeholders from developers to investors are urged to consider these cost dynamics when planning for future projects.

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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