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Significant Monthly Decline In Cyprus Net New Loans Recorded In January 2026

Overview Of Net New Loans Decline

Data from the Central Bank of Cyprus show that net new loans declined in January 2026 compared with December. Net new lending fell by €377.7 million, reaching €247.3 million compared with €625.0 million in the previous month. Total new loans also declined, dropping from €986.9 million in December to €495.9 million in January.

Shifting Trends In Loan Categories

Consumer lending recorded a small increase during the month. Net new consumer loans rose from €17.2 million to €18.9 million. Mortgage lending declined to €95.7 million from €135.4 million in December. Business lending also decreased. Loans below €1 million fell from €60.3 million to €40.1 million, while loans above €1 million declined from €406.4 million to €88.1 million.

Interest Rate Adjustments Across Loan Sectors

Interest rates for several loan categories recorded small changes. Consumer loan rates declined slightly from 7.22% to 7.20%. Mortgage loan rates also decreased, falling from 3.78% to 3.70%. Rates on business loans remained at 4.32% for loans up to €1 million. For loans above €1 million, the rate declined from 4.42% to 4.34%.

Deposit Rates And European Context

Deposit rates for household accounts with a maturity of up to one year remained at 1.20%. Business deposit rates increased from 1.27% to 1.34%. The Central Bank of Cyprus said lending rates in Cyprus are now close to the eurozone median, with household loan margins near zero and corporate margins around 0.4%. Deposit rates in Cyprus remain among the lowest in the eurozone, which the central bank links to high liquidity levels in the banking sector.

Changing Patterns In Mortgage Loan Terms

Data from the central bank also show changes in mortgage loan structures. The share of new housing loans with variable interest rates declined to 11.6%. At the beginning of 2022, nearly all new housing loans were issued with variable rates. Borrowers are increasingly choosing loans with fixed interest rates during the initial years of the contract.

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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