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Cyprus GDP to Grow 3.7% in 2024—Here’s What to Expect in 2025-2026

Cyprus’ economy gained momentum in 2024, with real GDP growth revised up to 3.7%, an upward adjustment of 0.2 percentage points, according to the latest Economic Outlook from the Economics Research Centre (CypERC) at the University of Cyprus. Growth is projected to remain solid but moderate in the coming years, with forecasts of 3.3% in 2025 and 3% in 2026.

Economic Drivers Behind The Growth

The upward revision is attributed to stronger-than-expected performance in Q3 2024, alongside positive economic indicators in Q4. The labour market’s resilience, disinflationary trends, and monetary policy easing in the eurozone have further bolstered the outlook.

Other forecasts align with this trajectory. The Central Bank of Cyprus estimates 3.7% GDP growth in 2024, while the European Commission projects 3.6%. Looking ahead to 2025, both institutions anticipate a deceleration, with the Central Bank forecasting 3% and the European Commission predicting 2.8%. In 2026, the Central Bank expects a slight uptick to 3.1%, whereas the European Commission foresees a continued slowdown to 2.5%.

Inflation And Market Conditions

Inflation is expected to remain subdued, with CPI inflation forecast at 1.7% in 2025, a 0.4 percentage point drop from previous estimates due to lower-than-expected inflation in late 2024. For 2026, inflation is projected to edge lower to 1.6%.

Key factors shaping the inflation outlook include:

  • Falling international oil prices
  • A slowdown in inflation during H2 2024
  • Restrictive financing conditions
  • Lower selling price expectations, particularly in services

Risks And Uncertainties

CypERC highlights downside risks to the growth outlook, particularly amid rising geopolitical tensions and uncertainties in global trade policies. Conversely, inflation risks remain tilted to the upside, as external shocks and supply chain disruptions could drive price pressures higher.

As Cyprus navigates 2025 and beyond, the economy remains on a steady expansion path, though global and regional developments will play a crucial role in shaping its trajectory.

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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