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Cyprus Bank Charts Bold Growth Path With Record Loan Expansion And Elevated Capital Strategy

Amid one of its strongest performance periods to date, Cyprus Bank is initiating a strategic deployment of surplus capital in the first quarter of 2026. With a keen focus on serving the business community, the bank intends to offer corporate loans—mirroring the same streamlined process used for personal accounts—thereby advancing its digital banking infrastructure.

Digital Innovations Fuel Customer Engagement

Looking ahead to the first quarter of 2026, Cyprus Bank is set to launch an advanced chatbot solution. This digital tool will enable customers to resolve inquiries regarding bank services quickly and efficiently, underscoring the institution’s commitment to leveraging technology as a competitive differentiator.

Record Loan Growth Reflects Market Confidence

The bank reported record levels of new lending during the nine-month period ending September 30, 2025, with total loans reaching €2.23 billion—a 31% year-over-year increase. This growth spanned multiple business sectors, driven by international operations and corporate financing, with €635 million allocated in the third quarter alone.

Specifically, new loans disbursed in the third quarter of 2025 were distributed as follows: €249 million in large corporate lending, €207 million in retail banking (including €136 million in mortgage loans), €51 million to small and medium-sized enterprises, and €128 million in international operations.

Strategic Capital Deployment And Future Targets

CEO Panicos Nikolaou emphasized that acquisitions will be driven by strategic value rather than mere optics. Any acquisition proposal will undergo rigorous evaluation by the board, ensuring that competitive pressures, particularly those stemming from technological advancements, remain paramount.

Furthermore, the bank is resolutely pursuing an aggressive loan growth strategy in both local and international markets. With external financing already at €1.2 billion and an annual target of €1.5 billion, the bank projects a lending growth rate exceeding 4% in 2026. Concurrently, non-performing loans have declined to 1.2%, with coverage ratios improving to 124%, thereby maintaining a low risk-cost basis of 35 basis points and supporting robust net interest income.

Revised Performance Targets And Shareholder Returns

In light of a strong third quarter—delivering a return on equity of 18.5% and net profits of €118 million—Cyprus Bank has raised its annual expectations. The bank now anticipates net interest income to approach €720 million this year, an upward revision from earlier forecasts of just under €700 million. Additionally, organic capital generation is expected to exceed 300 basis points, with a sustained increase in the ROTE ratio, transitioning from the mid-teens to the high teens.

Looking forward, the bank also expects an improved cost-to-income ratio and a reduction in risk-cost estimates below 40% and 40 basis points, respectively. Underpinned by these robust financial metrics, the group is targeting a payout ratio of 70% on its 2025 profits, aligning with its upper-range distribution policy of 50-70% and ensuring enhanced value creation for its shareholders.

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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