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Credit Transfers Dominate Cyprus Payment Landscape Amid Digital and Traditional Trends

Credit Transfers Lead the Way in Cyprus

A recent report by the Central Bank of Cyprus (CBC) underscores the enduring appeal of credit transfers in the local economy. Accounting for 83 percent of the total transaction value, credit transfers remain the primary non-cash payment method, with an average transaction value of €4,402.

Cheques and Cards: Evolving Roles in the Payment Ecosystem

Despite the rapid advancement of digital payment solutions, cheques continue to hold significant relevance in Cyprus, contributing 7 percent of total transaction value with an impressive average payment of €3,615—three times higher than the euro area average of €1,140. Conversely, payment cards, used in 74 percent of transactions, are favored for lower-value purchases, exemplified by an average card transaction of €39. This duality highlights a distinctive payment behavior pattern in Cyprus, blending both traditional and modern payment methods.

Robust Digital and Contactless Infrastructure

The CBC report further reveals a pronounced preference for high-value online card payments, with the average online payment amount reaching €127—placing Cyprus among the top performers within the euro area. A robust contactless infrastructure bolsters this trend, as evidenced by over 75 percent of ATMs in Cyprus supporting contactless card technology, compared to only 33 percent in the broader euro area.

Growth in Payment Institutions and Future Prospects

Additionally, the number of licensed payment and electronic money institutions rose slightly from 36 in 2023 to 38 in 2024, reinforcing Cyprus’ position as one of the most institutionally advanced markets per capita in the euro area. This stability and growth present a promising outlook, as businesses and consumers continue to adapt to a hybrid payment landscape that leverages both digital innovation and established financial instruments.

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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