Cyprus Central Bank Cuts Growth Outlook As Middle East Tensions Lift Inflation Forecast

The Central Bank of Cyprus has lowered its economic growth forecasts for 2026 and 2027, warning that the war in the Middle East is creating a more challenging outlook for the economy through weaker tourism, higher energy prices and continued uncertainty over global trade. While domestic demand is expected to remain resilient, the bank now expects slower growth and higher inflation than it projected just three months ago.

Growth Outlook Softens On Geopolitical Shock

In its June 2026 Economic Bulletin, the Central Bank revised its GDP forecast for this year to 2.5%, down from 2.7% in March. Growth for 2027 was also trimmed slightly, from 3% to 2.9%, while the economy is still expected to expand by 3.1% in 2028.

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According to the bank, the downgrade is relatively modest because the March projections had already incorporated conservative assumptions about geopolitical risks. Even so, the outlook remains highly dependent on developments in the Middle East. If the agreement announced between the United States and Iran fails to materialise or is not implemented, Cyprus could face fuel shortages, higher import costs and further supply-chain disruption.

Those risks are expected to weigh most heavily on tourism, shipping, construction and real estate. As a result, the Central Bank expects net exports to subtract from economic growth this year because of weaker tourism revenues, lower shipping receipts and slower growth in other service exports. Domestic demand, however, should continue to provide support, helped by higher real household incomes, a resilient labour market and continued investment in large private projects, even if some of them are delayed.

“Although their implementation schedule may be affected by the crisis in the Middle East, these projects are not expected to be cancelled,”
the Central Bank said.

Inflation Forecast Raised

The biggest revision in the latest projections concerns inflation. The Central Bank now expects inflation, measured by the Harmonised Index of Consumer Prices (HICP), to average 3.2% in 2026, compared with 0.8% in 2025 and 0.5 percentage points higher than forecast in March.

Higher energy prices remain the main driver, reflecting the impact of the conflict on international oil markets and supply chains. Those pressures are expected to feed through to food prices and other goods before inflation gradually eases to 1.9% in both 2027 and 2028. Core inflation, which excludes food and energy, is projected to rise to 2.3% this year before moderating over the following two years.

Labour Market Remains A Bright Spot

Despite the weaker economic outlook, the labour market is expected to remain resilient. Employment growth is forecast to slow from 1.7% in 2025 to 1.3% this year before recovering in 2027 and 2028, while unemployment is projected to edge up only slightly to 4.6% before stabilising around 4.5%, a level the Central Bank considers consistent with full employment.

At the same time, policymakers warned that risks to inflation remain tilted to the upside. Persistently high oil prices, climate-related disruptions and stronger-than-expected wage growth could all keep price pressures elevated for longer than currently forecast.

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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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