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Central Bank Of Cyprus Reports January 2026 Financial Trends In Deposits And Loans

The Central Bank of Cyprus has published its latest statistics detailing deposits and loans for Monetary Institutions as of January 2026, as featured in the report Monetary and Financial Statistics – February 2026. The data underscores notable shifts in the banking sector, calling attention to both declining deposits and evolving loan dynamics.

Decline In Total Deposits

Total deposits recorded a net decrease of €851.2 million in January 2026, a reversal from the net increase of €877.1 million observed in December 2025. The annual rate of change for deposits dipped to 5.3% from 6.5% in the preceding month, positioning the overall deposit balance at €56.9 billion.

Sector-Specific Deposit Trends

A closer examination reveals that deposits from Cypriot residents fell by €767.7 million. Within this segment, household deposits experienced a marginal uplift of €34.2 million, in stark contrast to non-financial corporations which saw a decline of €469.7 million. Moreover, other domestic sectors collectively posted a reduction of €332.2 million.

Rise In Total Loans

Conversely, overall loan figures climbed with a net increase of €76.4 million, albeit at a more subdued pace compared to the €587.2 million surge reported in December 2025. The annual growth rate for loans adjusted upward to 11.2% from 10.7%, pushing the cumulative loan balance to €26.9 billion.

Detailed Loan Breakdown

Further analysis identifies a €124.2 million increase in loans to Cypriot residents. Loans allocated to non-financial corporations advanced by €22.6 million, while household lending remained unchanged. The remaining domestic sectors contributed an additional €101.5 million to the increase in total loans, marking a differentiated performance across segments.

This comprehensive statistical release by the Central Bank of Cyprus provides an essential framework for understanding the prevailing financial conditions. The insights derived are critical for stakeholders as the nation navigates its economic policies and broader market 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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