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Cyprus Banking Sector: A Beacon Of Resilience Amid Geopolitical Challenges

Robust European Banking Framework

The European Banking Authority (EBA) said the EU and EEA banking sectors remain stable despite rising geopolitical tensions linked to the conflict in the Middle East. Data from the Q4 2025 risk dashboard, alongside new CRR3 and CRD6 regulations, show that banks continue to operate with strong capital, liquidity and asset quality.

Navigating Geopolitical Turbulence

Direct exposure of European banks to the Middle East is estimated at €132 billion, including €47 billion in loans to financial institutions and €33 billion to non-financial companies. These exposures account for less than 0.5% of total assets, limiting immediate systemic risk. However, indirect effects remain a concern. Higher energy prices, inflation and supply chain disruptions could affect sectors such as transport, construction and manufacturing.

Financial Strength And Stability

Risk-weighted assets increased slightly to €10.2 trillion, while the common equity tier 1 ratio stood at 16.3%. Profitability also remained stable, with return on equity at 10.4% and net interest margin at 1.6%. At the same time, operating costs have risen, pushing cost-to-income ratios to their highest levels since March 2023.

Cyprus Banking Sector: Stability Amid Transition

The banking sector in Cyprus shows a similar pattern. According to the Central Bank of Cyprus, profitability declined by 13.9% in 2025, mainly due to lower net interest income. At the same time, total assets increased by 6.6% to €69.96 billion, while capital levels remain strong. The CET1 ratio reached 25.8%, well above the European average. Central Bank Governor Christodoulos Patsalides said these indicators show that the sector can absorb external shocks.

Looking Ahead

Geopolitical risks, including energy prices and inflation, remain key factors for the sector. Even so, capital and liquidity levels across Europe and Cyprus provide a buffer against potential shocks. The EBA expects no major capital shortfalls before 2030, supporting a stable outlook for the banking system.

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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