Cyprus Poverty Risk Holds At 17.1% As Older Population Remains Most Exposed

by THEFUTURE.TEAM

March 23, 2026

Overview Of Arope Findings In Cyprus

Around 167,000 people in Cyprus, or 17.1% of the population, were at risk of poverty or social exclusion in 2025, according to data from the Cyprus Statistical Service. The figure is based on the EU’s AROPE indicator and remains broadly stable compared to the previous year.

Disparities Across Gender And Economic Factors

The indicator covers households below the poverty threshold, those facing severe material and social deprivation, and those with very low work intensity. While the overall rate has not changed significantly, differences across groups remain.

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Women recorded a higher risk rate at 18.7%, compared to 15.5% for men. At the same time, the poverty risk indicator increased slightly to 14.9% from 14.6%, while the share of households with very low work intensity remained at 4.2%. Severe material and social deprivation declined to 2.2% from 2.5%.

Income Threshold Adjustments And Social Transfers

Income thresholds increased, reaching €13,240 for single-person households and €27,803 for two adults with two children under 14, up 6.8% compared to 2024. Median disposable income for single-person households also rose, from €20,667 to €22,067. Social transfers continue to play a key role. Once pensions and benefits are included, the poverty rate decreases by 18.7 percentage points.

Comparative Analysis With EU And Local Context

The EU average AROPE rate stood at 21% in 2024, placing Cyprus below the EU level overall. Lower risk levels were recorded among younger and working-age populations, with 14.8% for those under 18 and 13.8% for those aged 18 to 64. However, the picture differs for older groups. In Cyprus, 31.5% of people over 64 are at risk, compared to an EU average of 19.2%.

Regional Comparisons And Policy Implications

In Greece, 27.5% of the population was at risk in 2025, an increase of 0.6 percentage points, driven mainly by higher material and social deprivation. The rate among children reached 29.6%. Despite lower income thresholds, social transfers reduced the theoretical poverty rate in Greece from 43.9% to 19.6%.

The Imperative For Targeted Social Policies

The data show that overall poverty risk in Cyprus remains stable but uneven across groups, with older populations facing higher exposure. Addressing early-stage poverty remains a key focus for policymakers, particularly in efforts to reduce long-term vulnerability.

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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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