Tourism Revenue Declines Sharply In Cyprus As Israeli Arrivals Plummet

Declining Revenue Figures

Data from the Statistical Service show that tourism revenue in Cyprus fell to €85.6 million in March 2026, compared with €129.4 million in March 2025, representing a decline of 33.8%. A significant reduction in arrivals from Israel, one of Cyprus’ key tourism markets, contributed to the decrease.

Downturn In Arrivals And Expenditure

Tourist arrivals declined to 139,198 in March 2026 from 200,736 a year earlier. Average expenditure per visitor also decreased by 4.6%, falling from €644.65 to €615.27. As a result, both visitor numbers and spending contributed to lower tourism revenue during the month.

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Market-Specific Impacts

The sharpest decline was recorded in the Israeli market, where arrivals fell from 28,353 in March 2025 to 1,537 in March 2026. Israeli visitors have historically ranked among the highest-spending tourist groups. In March 2025, average daily expenditure among Israeli tourists reached €194.69.

Despite lower visitor numbers, the United Kingdom remained Cyprus’ largest tourism market, accounting for 32.9% of total arrivals. Arrivals from the UK declined from 61,545 to 45,763, while British tourists spent an average of €69.01 per day and €669.43 per trip.

Poland and Germany remained the second and third largest source markets, representing 12.6% and 10.8% of arrivals respectively. Average daily expenditure reached €81.99 for Polish visitors and €77.88 for German tourists, while average spending per trip stood at €401.76 and €724.25 respectively.

External Factors And Future Implications

Additional pressure on the tourism sector came from security concerns following a drone incident near the British RAF base at Akrotiri, which prompted travel advisories and precautionary measures in several countries. Recent data highlight the impact that changes in key source markets can have on tourism revenue, particularly when declines affect higher-spending visitor segments. Industry stakeholders and policymakers are expected to continue monitoring arrival and spending trends as they assess the performance of the sector during the remainder of the year.

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Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

by THEFUTURE.TEAM

October 13, 2026

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

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According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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