Breaking news

Cyprus Composite Leading Economic Index Signals Steady Growth Amid Global Uncertainties

Robust Economic Trajectory In Cyprus

The Cyprus Composite Leading Economic Index (CCLEI) recorded a 2.9% year‐on‐year increase in January 2026, as per the revised data from the University of Cyprus‘s Economics Research Centre (CypERC). This performance, though slightly slower than the 3.1% and 3.2% gains recorded in December and November 2025 respectively, confirms resilient economic fundamentals over the period.

Sectoral Contributions And International Influences

Key components such as temperature-adjusted electricity production, property sales contracts, tourist arrivals, and retail trade activity all posted positive year-on-year growth. In contrast, external factors such as a marked reduction in Brent crude oil prices and diverging economic sentiment indicators between Cyprus and the euro area highlight a complex external environment. While the Economic Sentiment Indicator (ESI) across the euro area improved in January, the domestic ESI in Cyprus declined, reflecting a weakening business climate in the services and industrial sectors.

Detailed Insights Into Business And Consumer Confidence

Additional surveys outlined a slight deterioration in economic sentiment within Cyprus. The overall decline in the Economic Sentiment Indicator, notably a 0.2-point drop from December 2025, was primarily driven by reduced confidence in the construction, retail trade, and industrial sectors. Despite improvements in the Services Confidence Indicator and stable consumer confidence levels, adjustments in stock levels and revised sales expectations contributed to a softer outlook among business leaders. Construction firms, facing seasonal constraints and labor shortages, adopted a more neutral stance, while industrial players tempered expectations due to less favorable assessments of stock levels and production.

Methodology And Future Outlook

The CCLEI, designed to provide early warning signals for turning points in business cycles, derives its insights from an array of domestic and international indicators. These include tracking trends such as the Brent crude oil price in euros, property sales contracts, tourist arrivals, and credit card transaction values. The centre’s ongoing assessment, including its recent summary of business and consumer surveys, suggests that despite external geopolitical and economic uncertainties, the Cypriot economy maintains a stable growth 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.

Uol
Aretilaw firm
The Future Forbes Realty Global Properties
eCredo

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter