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Cyprus Mortgage Rates Surge As Eurozone Trend Diverges

The Central Bank of Cyprus (CBC) has released data for December 2024, revealing a rise in mortgage and corporate loan interest rates, while household deposit rates also climbed. In contrast, the eurozone saw a downward trend, highlighting a growing divergence in financial conditions.

Key Takeaways

  • Mortgage rates up: Average housing loan rates in Cyprus hit 4.75%, rising from 4.50% in November, while eurozone rates dropped to 4.15%.
  • Corporate loans mixed: Smaller business loans slightly increased to 5.14%, while large corporate loans over €1 million declined to 4.70%.
  • Deposits yield more: Household deposit rates climbed to 1.78%, but corporate deposit rates fell to 1.74%.

Mortgage Rates: Cyprus Outpaces Eurozone

New housing loans in Cyprus became more expensive, averaging 4.75% in December, well above the eurozone’s 4.15%. Societe Generale offered the highest rate at 6.60%, while the lowest came from Housing Finance Corporation at 3.32%. Other key players included the Bank of Cyprus (5.35%), Astrobank (4.30%), and Hellenic Bank (4.27%).

Corporate Loans: Small Business Borrowing Costs Rise

For new business loans under €1 million, interest rates increased slightly to 5.14%. The highest rate was 7.28% (Banque SBA), while the lowest was 4.66% (Hellenic Bank). Notably, Ancoria raised its rate by 0.83%, while most banks saw minor reductions.

For larger corporate loans exceeding €1 million, the average rate dropped significantly from 5.63% to 4.70%. Societe Generale charged the highest rate (6.07%), while Eurobank offered the lowest at 4.12%.

Deposits: A Mixed Picture

Household deposit rates rose to 1.78%, with Arab Jordan Investment Bank leading at 3%. However, corporate deposit rates declined to 1.74%, with the National Bank of Greece offering the highest at 2.38% and the Housing Finance Corporation the lowest at 0.52%.

What’s Next?

The rise in Cyprus’ interest rates signals tighter financial conditions compared to the eurozone, potentially impacting homebuyers and businesses seeking credit. Meanwhile, higher household deposit rates could offer better returns for savers. As 2025 unfolds, all eyes will be on the CBC’s next moves and how they align with broader European trends.

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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