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Cyprus Central Bank Reports Sharp Decline In New Loans For January 2026

Overview Of Lending Trends

The Central Bank of Cyprus (CBC) reported a marked downturn in total net new loans for January 2026. The figures reveal a decline of €377.7 million in net new loans compared with the previous month, reflecting broader adjustments in both consumer and housing credit markets.

Detailed Lending Activity

Net new loans in January totaled €247.3 million, based on €495.9 million in total new lending. In December 2025, net new loans reached €625.0 million from €986.9 million in total lending. Changes were recorded across several credit categories. Net new consumer loans increased slightly to €18.9 million from €17.2 million in December. Housing loans declined to €95.7 million from €135.4 million in the previous month.

Interest Rate Movements

Interest rates for both consumer and housing loans declined slightly during the period. Consumer loan rates fell to 7.20% from 7.22%, while housing loan rates decreased to 3.70% from 3.78%. Deposit rates showed limited changes. Household term deposits remained at 1.20%, while deposits from non-financial corporations increased to 1.34% from 1.27%.

Comparative European Context

In comparison with other euro area countries, lending rates in Cyprus are close to the median for outstanding loan balances. Margins for households are around 0%, while margins for non-financial corporations stand at approximately 0.4%. The transmission of monetary policy in Cyprus broadly follows developments in the wider euro area, particularly during periods of monetary tightening or easing. However, the pass-through of rate changes to new loans, especially those issued to non-financial corporations, appears lower than in some other euro area markets.

Shifts In Borrower Behavior And Market Dynamics

The CBC report also highlights changes in borrower preferences regarding interest rate structures. The share of new housing loans with variable interest rates has declined from nearly 100% in early 2022 to 11.6%. Fixed-rate loans have become more common in new housing lending, although many of these products later transition to variable rates.

Banking Liquidity And Deposit Rates

In addition to lending trends, the Central Bank of Cyprus noted that deposit rates in Cyprus remain among the lowest in the euro area. High liquidity levels within the banking system contribute to this trend. Cypriot banks reported a liquidity coverage ratio of 319% in December 2025, compared with a euro area median of 192% and an EU average of 161%. These liquidity levels influence the pricing of deposits in the domestic market. Changes in policy interest rates have also shown limited pass-through to new deposits, reflecting the structure of Cyprus’s relatively small banking sector. The CBC report highlights ongoing developments in both lending and deposit conditions within the country’s banking system as economic conditions and borrowing preferences continue to evolve.

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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