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DBRS Morningstar Confirms Cyprus ‘A’ Credit Rating With Stable Outlook

Confirmed Credit Rating Amid Economic Resilience

DBRS Morningstar reaffirmed the sovereign credit rating of the Republic of Cyprus at A with a stable outlook. The agency cited the country’s fiscal performance and economic growth outlook. The rating report notes that Cyprus’s real GDP is projected to grow by about 3.8% in 2025. Domestic demand and service exports are expected to support economic activity.

Regional Uncertainty And Its Impact

DBRS Morningstar said regional developments remain a potential risk for the Cypriot economy. The agency noted that rising tensions in the Middle East could affect economic activity in the region. Tourism, a key sector of the Cypriot economy, could be affected if instability continues. Higher global energy prices could also reduce household purchasing power and affect consumption.

Fiscal Strength And Institutional Reliability

The report highlights Cyprus’s recent fiscal performance. The government has recorded budget surpluses in recent years while public debt has continued to decline. DBRS Morningstar expects government debt to fall below 60% of GDP by 2025. The agency also noted the stability of the banking sector and Cyprus’s institutional framework as an EU member state. However, the report also highlighted structural challenges. These include the small size of the economy, reliance on services, low labour productivity and a current account deficit.

Leadership Confidence In Strategic Economic Policy

Key figures have lent their voices to the nation’s economic credibility. President Nikos Christodoulides underscored that maintaining the A rating amid multifaceted regional challenges is a robust vote of confidence in Cyprus’s economy. Finance Minister Makis Keravnos further emphasized that the nation’s substantial fiscal reserves and proactive economic planning provide a strong buffer against potential external shocks. This strategic outlook is expected to guide Cyprus in leveraging emerging opportunities while managing risks in an uncertain global landscape.

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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