Rising Loan Demand Amid Stable Lending Conditions: Insights from the Cyprus Central Bank Survey

by THEFUTURE.TEAM

September 19, 2025

Increasing Demand Drives Loan Growth

The second quarter of 2025 witnessed a notable increase in net loan demand, spurred by both business and household sectors, according to the latest survey by the Central Bank of Cyprus. This surge is particularly evident in mortgage and consumer loan segments, reflecting a strong appetite across multiple financial channels.

Stable Lending Criteria Amid Competitive Pressures

Despite the rising demand, banks maintained unchanged lending criteria for both businesses and households compared to the previous quarter. The survey details that while the overall terms for new loans—including mortgages, consumer, and other household credit—remained stable, interest rates and bank margins experienced downward pressure. For businesses, lower interest rates on new loans were driven by increased competition and a perception of reduced risk, while similar competitive forces influenced the mortgage segment for households.

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Market Insights and Future Prospects

In the context of ongoing market dynamics, banks anticipate that lending terms for businesses will tighten in the third quarter, even as household lending standards are expected to remain unchanged. This forecast aligns with evolving economic conditions, where sustained loan demand for mortgages and consumer loans is underpinned by favorable interest rates, renewed consumer confidence, and improved housing market outlooks.

Drivers Behind the Demand

The survey highlights that increased business loan demand stems from financing requirements associated with inventory replenishment, working capital, and fixed investments. For households, emerging market trends, including attractive interest rates and a buoyant housing market, are key factors driving the rise in mortgage loan applications. Both segments have witnessed a strong correlation between market sentiment and loan uptake.

Conclusion

As the banking sector navigates a competitive landscape, the findings from the Central Bank of Cyprus underline a robust and stable lending environment in the second quarter of 2025. Businesses and households alike continue to pursue financing opportunities, positioning the market for further expansion as banks adjust their policies in response to shifting economic signals.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

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.

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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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