Cyprus Ranks Among EU Leaders In Tertiary-Educated ICT Workforce

High Educational Attainment Sets Cyprus Apart

Recent data from Eurostat showed that Cyprus is expected to rank among the leading European countries for tertiary-educated ICT professionals in 2025. According to the figures, 96.4% of ICT professionals in Cyprus are projected to hold tertiary education qualifications, placing the country among the highest-ranked members of the European Union.

Gender Disparity Remains A Critical Challenge

Despite the high level of educational attainment, the ICT workforce in Cyprus continues to show a significant gender imbalance. Men are projected to account for 85.1% of ICT employees in 2025, while women are expected to represent 14.9% of the sector. In 2024, the split stood at 70.9% for men and 29.1% for women. The figures highlighted a widening gender gap within the country’s ICT workforce.

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European Union Trends And Comparative Analysis

Across the European Union, the number of ICT professionals is projected to increase to 3.4 million in 2025 from 3.2 million in 2024, representing annual growth of 5.1%. Men are expected to account for 83.4% of ICT employment across the bloc, equivalent to approximately 2.8 million workers, while women are projected to represent 16.6%.

National Performance Variability In Gender Representation

Countries within the EU show a varied landscape: the highest percentages of male ICT professionals are reported in the Czech Republic (92.9%), Slovenia (89.1%), Latvia (89.0%), Lithuania (88.9%), and Slovakia (88.4%). On the contrary, nations such as Denmark (30.0%), Sweden (29.8%), Romania (28.6%), Bulgaria (25.6%), and Croatia (25.2%) lead in female participation in the ICT arena.

Educational Background Across The European ICT Sector

Eurostat data also showed that most ICT professionals across the EU hold tertiary education qualifications. By 2025, 74.8% of ICT workers in the bloc are projected to have university-level education, while 25.2% are expected to hold secondary or post-secondary qualifications. Denmark recorded the highest share of tertiary-educated ICT professionals at 97.7%, followed by France at 96.6% and Cyprus at 96.4%. Other countries with high levels of tertiary-educated ICT workers included Ireland at 92.3%, Bulgaria at 91.1%, and Croatia at 90.9%. At the lower end of the ranking, Italy recorded 69.2%, while Portugal stood at 58.8%.

Conclusion

The data perfectly encapsulates the dual narrative in the ICT sector: while countries like Cyprus and Denmark achieve remarkable educational standards among ICT workers, persistent gender disparities remind us that diversity remains an ongoing challenge. As the ICT landscape continues to evolve, strategic policy formation and corporate governance will be pivotal in balancing excellence with inclusivity.

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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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