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Cyprus’ Economic Landscape: IMF Cautions Fiscal Prudence Amidst Economic Shifts

With economic challenges persisting, the International Monetary Fund (IMF) is advising Cyprus to exercise fiscal caution, particularly in public sector spending, as the risk of inflation remains a pressing concern.

The recent IMF Article IV consultation emphasized Cyprus’s economic resilience, which has seen a phenomenal growth of 20% over the past five years despite global challenges like the pandemic and geopolitical tensions.

Understanding The Current Economic Growth

Though Cyprus stands out with one of the highest growth rates in the euro area—courtesy of vibrant tourism and ICT sectors—signs of moderate overheating are emerging. Even as inflation trends downward, it remains a potential threat, hovering above the 2% mark.

The growth rate is set to temper to around 2.5% this year, stabilizing at 3% in the medium term. Yet, the IMF advises keeping a tight rein on fiscal policies to lower public debt below 60% of GDP, amid rising costs in sectors like energy and aging-related expenses.

Real Estate Vigilance And Financial Stability

Despite the robust performance of Cyprus’s financial sector, the IMF stresses continued vigilance over the real estate market due to its systemic risk, particularly as collateral. Non-performing loans have declined, aided by economic growth and effective schemes such as mortgage-to-rent solutions.

Structural Reforms: The Way Forward

Long-term growth hinges on vital structural improvements—especially in judicial and labor sectors. Enhancements in judicial efficiency and labor market policies are crucial not only for productivity but also for sustaining investment-driven growth. Focused strategies to align skills in the workforce could further bolster economic stability.

Energy And Climate Commitments

Energy reforms are pivotal in reducing costs and strengthening Cyprus’s sustainability goals. Projects like the Vassiliko LNG terminal and the Great Sea Interconnector must be prioritized, with their long-term viability guiding the nation toward becoming a renewable energy hub.

Government’s Response

The Ministry of Finance has acknowledged the IMF’s recommendations, emphasizing the importance of fiscal prudence and ongoing efforts to enhance economic resilience. Judicial reforms and strategic workforce alignment remain high on the government’s agenda to ensure sustainable growth.

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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