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Cyprus Readies For Economic Growth Amid Major Infrastructure Investments And Rising Exports

The Central Bank of Cyprus projects economic growth between 2026 and 2028, supported by private infrastructure investment and export activity. Christodoulos Patsalides presented the outlook in the bank’s 2025 annual report.

Robust Economic Forecast

The report outlines baseline projections assuming a gradual de-escalation of geopolitical tensions. Growth is expected to slow from 3.8% in 2025 to 2.7% in 2026, before rising to 2.9% in 2027 and 3.1% in 2028. Inflation is projected to stabilize around 2% over the medium term under this scenario.

Inflation And Policy Outlook

Inflation is forecast at 2.7% in 2026, driven by higher energy, food, and input costs. Price growth is expected to ease to 2% in 2027 and increase slightly to 2.2% in 2028. The increase in 2028 reflects the impact of the expanded Emissions Trading System (ETS2) on fuel prices.

Infrastructure Investments And Export Drive

Christodoulos Patsalides said private infrastructure investment and export growth in services, including technology and finance, are expected to support domestic demand. Higher disposable income and labor market conditions are expected to support consumption. Tourism activity is projected to decline in 2026, with recovery expected from 2027.

Banking Sector Resilience And Governance Modernization

The banking sector reports non-performing loans at 1.6%, compared with the EU average of 1.8%. Capital and liquidity indicators remain within regulatory requirements. The Central Bank is considering changes to its governance structure, including a collective model aligned with European practices.

Outlook For Growth And Stable Labour Markets

GDP is supported by private consumption and investment, according to the report. Public finances show public debt below 60% of GDP, alongside improved credit ratings from international agencies. Unemployment is projected to stabilize at around 4.5% between 2026 and 2028, reflecting current labour market conditions.  Christodoulos Patsalides, Governor of the Central Bank of Cyprus, outlined structural reforms and policy measures aimed at maintaining price stability and supporting economic activity.

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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