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Cyprus Tourism Strategy 2035: A Model For Year-Round Growth And Diversification

Transforming The Tourism Landscape

Cyprus is entering a decisive decade for its tourism industry. Government officials, led by the Deputy Ministry of Tourism, have set a target to increase annual arrivals from 4.04 million in 2024 to 5 million by 2035. The strategy does not aim to intensify the summer peak, but rather to distribute visitor flows more evenly across spring and autumn, gradually positioning the island as a true year-round destination.

Revised National Tourism Strategy

At a recent Cabinet meeting, the government approved the updated National Tourism Strategy, now extended to 2035 and built upon the original 2030 framework adopted in 2020. The revised plan prioritizes sustainable growth, green transition policies, digital transformation, infrastructure upgrades, and improved accessibility. This integrated direction is designed to align Cyprus with shifting global travel patterns while safeguarding the country’s environmental and cultural heritage.

Key Insights From Deputy Tourism Minister Koumis

Following the Cabinet session, Deputy Tourism Minister Kostas Koumis emphasized that the strategy focuses on improving the quality of the tourism product while ensuring balanced and sustainable expansion. He highlighted three core priorities: advancing digital capabilities, reducing seasonality, and strengthening Cyprus’ profile as a year-round destination. The United Kingdom remains a stable cornerstone market with an approximate 30% share, while the United States, China, and India are identified as high-potential markets for long-term outreach.

Redefining Seasonality And Revenue Streams

The strategy projects a gradual reshaping of seasonal travel patterns. Arrivals during the traditionally quieter months from January to April and November to December are expected to rise from 1.06 million in 2024 to 1.80 million by 2035, outpacing growth in the peak summer. Overnight stays are forecast to increase from 34.8 million to 46.8 million over the same period, largely driven by stronger winter demand and extended stays.

Enhancing Tourist Spending And Economic Impact

Strategic measures also aim to elevate daily tourist expenditure. For instance, the average daily spending during the winter period is expected to increase from €80 in 2024 to €85 in constant 2024 prices by 2035, while summer spending could rise from €96 to €106. If these targets are met, tourism revenues are forecast to climb from €3.21 billion in 2024 to €4.58 billion by 2035, underscoring the economic potential of a diversified tourism model.

Targeted Market Segmentation

An extensive review of international travel trends has shaped several priority segments:

  • Over-50 / Silver Tourism: a rapidly expanding demographic with higher spending power and flexible travel schedules.

  • Sun and Sea / Families: family travel represents roughly 30% of global tourism flows and continues to grow steadily.

  • Destination Hoppers: multi-country travelers motivated by improved regional connectivity and joint tourism packages.

  • Domestic Tourism: local travel that supports rural, mountain, and short-break hospitality sectors.

  • Long-Stay Visitors: travelers seeking extended winter residence in warmer climates.

  • Working From Anywhere / Bleisure: the combination of business and leisure trips driven by remote and hybrid work models.

Market Categorization And Strategic Focus

To refine outreach efforts, the strategy groups international markets into four tiers:

  • Category A – Stable Markets: The United Kingdom remains the primary anchor market.

  • Category B – Steady Growth: Poland, Germany, Israel, France, and Nordic countries, supported by improving connectivity and income levels.

  • Category C – High Growth Potential: Benelux, Romania, Switzerland, Austria, Hungary, Greece, Serbia, Czechia, and Bulgaria, where continued engagement can unlock stronger flows.

  • Category D – Conditional Opportunities: Markets such as the USA, China, Canada, UAE, Australia, South Africa, and several Southern and Eastern European countries, where growth depends on connectivity, visa facilitation, and promotional investment.

A Strategic Roadmap For The Future

The 2035 tourism strategy functions as a long-term roadmap that combines digital innovation, infrastructure development, sustainability principles, and diversified market outreach. By capitalizing on its climate, culture, and geographic position while adapting to evolving traveler expectations, Cyprus is aiming to build a resilient tourism model capable of delivering steady economic returns throughout the entire year rather than only during the summer peak.

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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