Industrial Turnover Surge Highlights Robust Growth Across Key Sectors In Cyprus

Overview Of Industrial Growth

The Industrial Turnover Index in Cyprus surged in March 2025, underscoring sustained momentum across pivotal economic sectors. According to the Cyprus Statistical Service, the index reached 137.7 units—compared to the 2021 baseline set at 100 points—marking an overall increase of 5 percent from March 2024. The first quarter also exhibited robust activity, with a 5.8 percent rise in turnover relative to the same period last year.

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Sector-Specific Performance And Trends

Notably, the manufacturing sector emerged as a key driver of this growth. In March 2025, manufacturing turnover climbed to 138.3 units, reflecting a substantial 7.2 percent increase over the corresponding month in 2024. The mining and quarrying sector also registered impressive gains with a 12.5 percent jump. However, challenges persisted in segments such as water supply and materials recovery, which declined by 4.5 percent, along with a 3.3 percent drop in electricity supply. These varied outcomes highlight a dynamic industrial landscape characterized by both robust growth and evolving sectoral challenges.

Implications For The Broader Economy

The overall uptrend in industrial turnover suggests resilient economic fundamentals despite localized setbacks. As the primary measure of invoiced sales among industrial enterprises, the index offers crucial insights into domestic production and economic stability. The sustained strength in manufacturing underscores its pivotal role in driving export competitiveness and economic output, while the mixed performances in water and energy sectors may be indicative of seasonal shifts and evolving consumption patterns.

Conclusion

In an era marked by global economic uncertainties, the marked increase in Cyprus’ Industrial Turnover Index for both March and the first quarter of 2025 stands as a testament to the enduring strength and adaptive capacity of its industrial sectors. Such performance not only reinforces the significance of manufacturing in the island’s economic framework but also signals the vital need for strategic oversight in managing areas of decline.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

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.

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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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