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Cyprus Tourism Strategy: European Vision for Sustainable Transformation

European Strategic Initiative

On Monday, Cyprus Deputy Minister for Tourism, Kostas Koumis, met in Nicosia with European Commissioner for Sustainable Transport and Tourism, Apostolos Tzitzikostas. The central agenda of the discussion was the forthcoming European tourism strategy, now under development, which is expected to shape tourism policy across the continent.

A Decade of Tourism Resilience and Growth

During the meeting, both officials underscored the enduring significance of tourism to Cyprus’s economy, highlighting the sector’s performance from 2019 to the present. They paid particular attention to the impacts of the pandemic and recent geopolitical tensions on the industry, emphasizing the resilient nature of tourism in mitigating economic challenges.

Blueprint for a Sustainable and Digital Future

The strategy, initiated by Commissioner Tzitzikostas and scheduled for presentation in 2026, has been designed after extensive consultations with all key stakeholders. Anchored in the European Council’s Strategic Agenda 2030, the framework addresses critical issues including environmental and social sustainability, smart tourism through digital transformation, destination management resilience, accessibility and inclusion, support for SMEs and start-ups, skill development, and the integration of transportation systems with a unified European identity.

Cyprus at the Forefront

Deputy Minister Koumis affirmed that the Cypriot government is actively implementing measures aligned with the European Tourism 2030 strategy. Focused on the green transition and digital transformation, these initiatives underscore Cyprus’s commitment to embracing forward-thinking policies that drive both economic growth and sustainability.

Upcoming Milestones

Looking ahead, both officials exchanged views on the upcoming Informal Ministerial Tourism Meeting scheduled for 16-17 April 2026 in Cyprus. During Cyprus’s presidency of the European Union, further consultations will be conducted, culminating in the submission of Council Conclusions for the Competitiveness Sector in May 2026. This process sets the stage for the adoption of an updated Tourism Agenda 2030, tailored to meet the contemporary needs of EU member states.

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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