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Cyprus Hotels See 25–45% Easter Occupancy As Cancellations Persist

Limited Uptake During Easter

Hotel occupancy during the Easter period ranged between 25% and 45%, according to PASYXE CEO Christos Angelidis, indicating relatively weak demand. He noted that low booking levels and ongoing cancellations remain a concern. Easter is not typically a peak period for domestic hotel stays in Cyprus, as many residents opt for travel abroad or spend the holiday with family.

Seasonal Preparations And Booking Outlook

Angelidis said many hotels have already opened for the season, with full reopening across the sector expected by April 20. However, summer booking trends show limited improvement. Current reservation levels remain broadly unchanged compared to five weeks ago. “Cancellations are still taking place, and the booking pace is not sufficient to offset them,” he said.

Efforts To Revitalize Cyprus As A Destination

Despite some stabilization, booking momentum has yet to recover. Angelidis noted that the market continues to feel the effects of recent developments, even though Cyprus is not directly at the center of the crisis. Hotels are increasing promotional efforts, including social media campaigns and direct outreach. Sales teams are also traveling abroad to strengthen partnerships and secure new bookings.

Strengthening Cyprus’ Brand Image

Angelidis emphasized the need for a consistent positioning strategy, highlighting Cyprus as a safe and established destination. “Cyprus must continue and intensify its campaign as a safe and welcoming destination, building on its long-standing tourism offering,” he said. Maintaining a continuous presence in key markets is seen as critical to restoring demand and stabilizing bookings in the coming months.

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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