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Cyprus’s Short-Term Rental Boom Spurs Sweeping Regulatory Overhaul


Rapid Market Expansion

In a dramatic shift within the Cypriot tourism sector, short-term rental properties have surged sixfold in under three years. With an estimated 12,000 to 13,000 properties on the market, only 8,375 currently comply with registration requirements enacted in July 2021. This unprecedented growth is prompting authorities to tighten regulatory oversight and reinforce tax compliance measures.

Key Trends and Regional Hubs

Data submitted by the Deputy Ministry of Tourism illustrates a notable upward trend: 4,765 accommodations were recorded by April 2023, providing 21,636 beds. This figure increased to 7,001 by April 2024 and reached 8,375 units by mid-May 2025. Leading the charge are Paphos and Famagusta, which together account for over two-thirds of the registered listings. Paphos boasts 3,957 rental units with 17,802 beds, while Famagusta follows with 1,702 properties and 8,728 beds. Other regions, including Larnaca, Limassol, and Nicosia, maintain substantial yet comparatively lower numbers.

Enhanced Enforcement and Compliance

The regulatory framework mandates that only officially registered properties, displaying their unique registration number in all advertisements, may be leased. Digital platforms like Airbnb and Booking.com are compelled to enforce these rules, facing stringent penalties for unregistered listings. Since the commencement of inspections, authorities have documented 52 complaints against unlicensed operators, and the Tax Department has initiated focused audits addressing VAT, income tax, and other contributions.

Legislative Reform and Future Directions

In an effort to align national practices with an impending EU regulation due to be enforced on May 20, 2026, the parliamentary Commerce Committee is reviewing a landmark bill. This legislation will require platforms to provide regular, detailed reports on short-term rentals and compel landlords to disclose registration details transparently. The Deputy Ministry of Tourism is set to act as the principal regulatory authority, ensuring adherence to data registration and compliance requirements.


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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