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Cyprus Industrial Turnover Index Highlights Varied Sectoral Trends In 2025

by THEFUTURE.TEAM

November 6, 2025

The Cyprus Industrial Turnover Index for August 2025 stood at 115.2 units, reflecting a 3.4% dip from the same month in 2024. The data, released by the Cyprus Statistical Service (Cystat), paints a nuanced picture of the country’s industrial performance over the past year.

Industrial Turnover Trend Overview

Between January and August 2025, the overall index exhibited a 4% rise compared to the corresponding period in 2024. This increase underscores a broader, albeit uneven, recovery in industrial activity despite the monthly setback observed in August.

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Sector-Specific Performance

The manufacturing sector, registering an index of 105.0 units, recorded a modest annual uptick of 1.2%. Noteworthy gains were observed in the manufacture of wood and cork products, which surged by 18.4%, and in machinery, motor vehicles, and other transport equipment, up by 13.3%. Additionally, the production of refined petroleum, chemical, and pharmaceutical products climbed by 6%, while basic metals and fabricated metal products marked a 3.5% increment.

Conversely, the textile, apparel and leather industries experienced a significant contraction of 18%, and electronic, optical products, and electrical equipment fell by 13.4%. Further declines were seen in paper, printing and related products (down 9.7%) as well as in furniture and other manufacturing (down 9.4%).

Market Segmentation Analysis

Examining market segments reveals divergent trends. Local market turnover dropped by 4.2%, while the export market enjoyed a modest 1.9% increase relative to August 2024. Sectoral performance was similarly mixed in non-manufacturing segments. For instance, mining and quarrying increased by 2.1% in August, with an impressive 11.8% surge over the January to August period. In contrast, electricity supply declined by 15.7% in August and 9.2% over the longer term, while water supply and materials recovery saw decreases of 1.3% and 1.4%, respectively.

Methodological Considerations

The index methodology, with 2021 as the base year, is designed to capture monthly fluctuations in turnover relative to that benchmark year. In essence, a monthly index figure of 112.4 indicates a 12.4% rise in turnover compared to the 2021 average. Data gathering methods include telephone and email surveys conducted five to ten days after the close of each period, with comprehensive data typically finalized within two months. The index fully covers larger enterprises with turnovers exceeding €2 million or those employing 20 or more persons, while smaller enterprises are sampled.

This detailed assessment of industrial activity by Cystat provides critical insights for stakeholders navigating Cyprus’s dynamic industrial landscape in 2025.

The Future Forbes Realty Global Properties

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.