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

by THEFUTURE.TEAM

February 16, 2026

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.

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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.

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AI Spending Is Complicating The Fed’s Fight Against Inflation

by News Editor

August 12, 2026

Silicon Valley leaders have long argued that artificial intelligence will make technology and services dramatically cheaper. OpenAI CEO Sam Altman has described a future where intelligence becomes extremely inexpensive, while Tesla and SpaceX CEO Elon Musk has predicted that AI and robotics will create greater abundance and drive down costs.

So far, those benefits have yet to materialise at scale. AI adoption remains relatively slow, while the enormous investment needed for data centres and AI infrastructure is putting pressure on electricity prices, supply chains and other costs. For the Federal Reserve, this creates a difficult balancing act: AI could eventually boost productivity and reduce inflation, but its current buildout is contributing to higher prices.

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OpenAI chief economist Ronnie Chatterji said AI needs to be adopted by organisations and generate measurable value before its broader economic impact becomes visible in productivity statistics.

AI Adoption Remains Uneven

Capital spending on AI infrastructure in the U.S. is expected to reach $581 billion this year, according to Goldman Sachs Research, with global investment potentially reaching $1 trillion.

Despite the scale of spending, adoption remains far from universal. A May survey by the U.S. Census Bureau found that 17% to 20% of U.S. businesses reported using AI, with adoption significantly higher among large companies.

Companies that have implemented AI at scale also highlight the challenges. Julie Averill, former CIO of Lululemon, said successful deployment requires changes in employee behaviour and trust in the technology. OpenAI has observed a similar divide: its most advanced business users deploy AI at around eight times the rate of average companies.

Why Productivity Gains May Take Time

Economists point to the limits of automation. AI can perform individual tasks effectively, but many jobs combine tasks that are difficult to automate.

Stanford professor Charles Jones refers to these as “weak links”. Radiology, for example, involves interpreting scans but also communicating with patients and working with colleagues. AI can automate part of the job without eliminating the profession itself.

As a result, the full economic impact of AI may not become clear until businesses adopt the technology more broadly and reorganise their operations around it.

AI Adds To The Fed’s Policy Challenge

AI’s economic impact has become part of the Federal Reserve’s policy debate. Fed Chairman Kevin Warsh has argued that AI could eventually become a significant disinflationary force by increasing productivity and strengthening U.S. competitiveness.

Other officials are more cautious. In July, the Fed kept interest rates at 3.5% to 3.75%, while some officials expressed concern that AI infrastructure spending could add to inflationary pressures.

Minneapolis Fed President Neel Kashkari pointed to massive data-centre investment as a new source of demand. Household electricity prices rose 10% in the two years through July, compared with a 6.2% increase in overall consumer prices. Meanwhile, shortages of chips and other AI components are pushing up costs. JPMorgan Chase estimates that DRAM prices could rise 400% by the end of 2026 compared with 2024.

Warsh has consequently adopted a more cautious tone, saying that while AI investment is laying the groundwork for future growth, the timing and scale of its economic effects remain difficult to predict.

For the Fed, the challenge is clear: AI could eventually deliver major productivity gains, but the cost of building that future is already showing up in the economy.