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Industrial Turnover Index In Cyprus: Resilient Growth Across Key Sectors

by THEFUTURE.TEAM

The latest figures from the Statistical Service of Cyprus (Cystat) underscore robust economic momentum, with the industrial turnover index rising to 151.8 units in September 2025—a 5.6% increase on the comparable month in 2024.

Overview Of Economic Activity

For the January to September 2025 period, the overall index improved by 4.2% when compared with the same timeframe last year. Local turnover posted a 5.9% rise, whereas export turnover advanced by 4.1%, reflecting balanced domestic and international market performance.

Strong Performance In Manufacturing And Mining

Within the manufacturing sector, the index reached 143.4 units in September, registering an impressive annual gain of 9.6%. This robust performance was paralleled by an 8.5% rise in mining and quarrying activity. Sector-specific trends further demonstrate this momentum, as evidenced by the notable advances in:

  • Electronic and Optical Products and Electrical Equipment: up 36.4%
  • Machinery, Motor Vehicles and Other Transport Equipment: up 20.8%
  • Basic Metals, Fabricated Metal Products, Furniture, and Machinery Installation: over 21%
  • Wood And Cork Products: up 17.9%
  • Rubber, Plastic Products And Other Non-metallic Mineral Products: mid-range increases between 8.1% and 8.6%

Sectoral Challenges And Variations

Despite these advancements, certain sectors registered declines. Electricity supply experienced a 6% drop in September and an 8.8% fall for the January–September period, while water supply and materials recovery exhibited marginal degressions of 0.6% and 1.6%, respectively. Additionally, traditional segments such as textiles, wearing apparel, and leather products fell by 8.6%, with refined petroleum, chemicals, and pharmaceutical products declining by 8.9%.

Methodology And Data Collection Insight

The industrial turnover index is underpinned by systematic data collection from enterprises with turnover exceeding €2 million or employing 20 or more personnel; smaller enterprises are included via sampling methodologies. With 2021 as the base year—where the monthly average index is 100.0—the index offers a transparent measure of turnover shifts across the industrial spectrum. Data is typically collected by telephone or email within two months following the end of each reference period.

This comprehensive report not only outlines key growth areas within Cyprus’s industrial landscape but also provides critical insights for policymakers and investors eyeing long-term trends in the region.

Copyright Law Struggles To Keep Up With AI Training

by News Editor

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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