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Cyprus’ Industrial Output Prices Decline By 1.9% In 2024 Amid Sectoral Shifts

Industrial production costs in Cyprus saw a 1.9% decline in 2024 compared to the previous year, according to the Cyprus Statistical Service (CyStat). The latest data reflects a broader economic trend of stabilizing prices across key sectors, despite fluctuations in specific industries.

The Index of Industrial Output Prices for December 2024 stood at 122.3 units (base 2021=100), marking a 0.1% month-on-month increase from November. However, on an annual basis, the index recorded a 1.5% drop compared to December 2023.

Sectoral Performance: Stability And Declines

  • Electricity supply saw the sharpest decline, with prices plunging 10.5% year-on-year.
  • Mining and quarrying posted a 0.7% increase, while manufacturing rose by 0.9%.
  • Water supply and materials recovery remained stable year-over-year but recorded a 0.3% monthly increase in December.

Manufacturing Trends: Growth In High-Tech And Consumer Goods

Despite the overall decline in industrial prices, several manufacturing divisions experienced growth:

  • Furniture, electronics, and textiles saw notable increases, with the manufacture of furniture, other manufacturing, and machinery repair rising by 4.7%.
  • Electronic and optical products grew by 4.3%, while paper and printing increased by 3.5%.
  • Pharmaceuticals and chemicals saw a 2.0% uptick, reinforcing the strength of Cyprus’ chemical production sector.

Conversely, declines were observed in:

  • Rubber and plastic products (-0.6%)
  • Basic metals and fabricated metal products (-0.6%)
  • Other non-metallic mineral products (-0.1%)

Looking Ahead: Economic Implications

The drop in industrial output prices suggests lower production costs for businesses, potentially easing inflationary pressures. However, sector-specific gains—particularly in manufacturing, technology, and pharmaceuticals—signal resilience in high-value industries. The continued decline in electricity prices could further impact industrial production costs, shaping economic conditions in 2025.

With Cyprus’ industrial landscape evolving, businesses will need to adapt to shifting cost structures and market dynamics to remain competitive in the coming year.

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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