One In Four Cypriots Cannot Afford A Week Away From Home

by THEFUTURE.TEAM

August 3, 2026

As Cyprus enters the peak summer tourism season, new Eurostat data show that a holiday remains out of reach for a significant share of the population. According to the latest figures for 2025, 27.5% of people aged 16 and over in both Cyprus and the European Union said they could not afford to spend one week away from home on an annual holiday, placing the island exactly at the EU average.

Long-Term Improvement, But Financial Pressure Persists

Although the figure has improved significantly over the past decade, financial constraints remain a reality for many households. In Cyprus, the share of people unable to afford a one-week holiday has fallen from 58.9% in 2014 and 45% in 2019 to 27.5% in 2025.

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Across the EU, the rate stood at 27.5%, up slightly from 27% in 2024 but well below the 35.2% recorded in 2015.

Wide Differences Across Europe

Eurostat’s data highlight substantial differences between member states. Romania recorded the highest share of people unable to afford a one-week holiday at 61.4%, followed by Greece at 46.6%, while Bulgaria and Hungary both stood at 39.1%.

At the other end of the ranking, Luxembourg reported the lowest share at 10.6%, followed by Sweden at 12.4% and both the Netherlands and Austria at 12.8%.

Cost Of Living Continues To Weigh On Households

The figures suggest that rising living costs continue to limit household budgets, despite an overall improvement in material conditions over the past decade. Inflation has eased from previous peaks, but accommodation, air travel and dining costs remain elevated across much of Europe.

According to the European Trade Union Confederation (ETUC), around 42 million workers across the EU cannot afford even one week away from home, highlighting the pressure that housing costs, transport expenses and food prices continue to place on household finances.

A Measure Of Financial Well-Being

Eurostat’s figures are based on the EU Statistics on Income and Living Conditions (EU-SILC) survey and count only people who are unable to take a holiday because of financial constraints rather than personal choice.

For many households across Cyprus and the wider European Union, the data underline that a one-week annual holiday remains beyond reach despite broader improvements in living standards.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

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.

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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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