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Larnaca Launches Bold 2026 Tourism Expansion Amid Regional Tensions

Larnaca is rolling out its 2026 tourism plan, focusing on targeted promotion, local upgrades and sustainability as the sector faces pressure from regional tensions.

Strategic Vision For Tourism Growth

According to Nana Asmeni Pavlou, director of the Larnaca Tourism Board (Etap), the strategy is designed to remain flexible as market conditions change. The programme allows adjustments based on current developments and the needs of the tourism sector.

Targeted Marketing And Digital Elevation

A key part of the plan is expanding digital marketing. Etap is working with international influencers and increasing its use of online promotion to reach priority markets, including the United Kingdom and countries in Central and Eastern Europe. The focus is on strengthening visibility while adapting campaigns to different audiences.

Local Value And Cultural Investment

Alongside promotion, the plan includes projects aimed at improving the visitor experience across both urban and rural areas. In Larnaca town, new sculptures are being installed at the Mediterranean Artists’ Park, along with historically themed street art. In villages such as Pano Lefkara, Vavla, Tochni, Athienou and Kalavasos, projects focus on better signage, upgraded public spaces and the restoration of local heritage elements.

Sustainable Development And Environmental Initiatives

Sustainability remains part of the programme. Work is continuing along Oroklini Beach under the “Enriching and Greening the Beaches” initiative, which contributed to Larnaca being named Green City of Cyprus 2025. Additional measures include tree planting, new visitor facilities and recycling initiatives aimed at reducing environmental impact.

Larnaca’s approach combines promotion with local investment and environmental measures, as authorities seek to maintain competitiveness in a changing tourism market.

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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