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Cyprus Sees Surge In ATM Withdrawal Value Amid Digital Payment Expansion

ATM Withdrawal Trends

Data from the Central Bank of Cyprus show that cash withdrawals from the country’s 405 ATMs totaled €2.5 billion in the first half of 2025. Although the number of transactions declined compared with the same period in 2024, the average withdrawal increased 28% from €291 to €372, keeping the overall value of cash dispensed relatively stable.

Rapid Digital Payment Adoption

Cash usage continues to decline as digital payments expand. Cyprus remains one of the most advanced markets in the euro area for contactless infrastructure, with more than 70% of ATMs supporting contactless cards, compared with around 34% across the eurozone. Payment card circulation increased 7% year over year to approximately 2 million cards, equivalent to about two cards per resident, reflecting continued growth in electronic payment adoption.

Consumer Spending Patterns And Card Dominance

Card payments now represent around 75% of transaction volume in Cyprus, placing the country among the most card-intensive markets in the euro area. Cyprus ranks second in payment card usage frequency, behind Portugal.

Debit cards remain the dominant payment method, with consumers significantly more likely to hold debit cards than credit or post-charge alternatives. VISA and Mastercard continue to account for the majority of issued cards. Average in-store card transactions stand at €37, slightly above the euro area average of about €33.

Online Spending Trends

Online transactions show higher average values than physical purchases. The average online payment in Cyprus reached €125, compared with roughly €60 across the euro area.

The data suggest that while cash withdrawals remain substantial, consumer behavior is increasingly shifting toward digital payments, particularly for higher-value online purchases.

Copyright Law Struggles To Keep Up With AI Training

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.

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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