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Cyprus Confronts Dual Threats: Non-Performing Loans And Housing Crisis Imperil Economic Stability

Cyprus stands at a crossroads as its economy endures the dual burdens of soaring non-performing loans and an escalating housing crisis, a scenario that experts warn could undermine both financial stability and social cohesion.

Economic Vulnerabilities And Systemic Risks

The Cyprus Borrowers Association, known as Syprodat, has issued a stark reminder of the significant threat posed by an estimated €19 billion in bad loans. Although these liabilities have been transferred off bank balance sheets to credit-acquiring companies, they continue to cast a long shadow over the country’s financial system. International rating agencies such as Moody’s, Fitch, and Standard & Poor’s have cautioned that an overreliance on fleeting profitability coupled with high operating costs may jeopardize long-term financial stability.

Housing Affordability And Social Equity

Parallel to financial concerns, Cyprus is wrestling with a severe housing crisis marked by relentless increases in rents and property prices. Eurostat data reveals a 16 percent surge in rents from 2018 to 2024, with nearly 15 percent of households with dependents experiencing difficulty in paying rent. Syprodat characterizes this housing challenge as more than just an economic inconvenience—it is a pressing issue of social justice and equality of opportunity, particularly for the nation’s younger generations.

Urgent Policy Reforms And Strategic Initiatives

In response to these intertwined challenges, Syprodat is calling on the Finance Ministry to develop a coordinated national strategy that addresses both the mounting bad loans and the precarious state of housing access. The proposed strategy includes robust reforms aimed at mitigating loan-related risks alongside comprehensive housing policies that may encompass social housing programmes, rental subsidies, and tax incentives for first-time buyers.

Moreover, the association has highlighted the counterproductive caution exercised by Cypriot banks in lending practices—even in the face of substantial liquidity—which, they argue, necessitates a more flexible and targeted lending framework to foster economic growth while safeguarding household stability.

With both financial vulnerability and housing insecurity fueling economic inequality, the imperative for prompt, decisive action has never been clearer. The path forward must balance stability with growth, ensuring that Cyprus not only navigates its current challenges but also secures a prosperous and equitable future for all its citizens.

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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