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Reassessing Cyprus’ Competitive Electricity Market: Structural Distortions and Pathways to Reform

Two months ago, Cyprus embarked on its journey with a competitive electricity market model, promising enhanced competition, increased consumer choices, and lower prices. However, the real-world implementation under the so‐called “target model” has revealed significant distortions that are driving up costs for the end user.

Market Distortions in a Small, Isolated System

The fundamental issue lies in the wholesale market’s pricing mechanism. Specifically, the clearing price is determined by the most expensive conventional generation unit of the Electricity Authority of Cyprus (EAC), which must meet the entire demand. This single pricing benchmark is then applied across all market participants, including renewable energy sources (RES). In a market characterized by just two main players—the EAC and limited RES providers—the distortions become inevitable. Moreover, Cyprus’ lack of interconnection with neighboring countries further exacerbates the situation, reinforcing a de facto monopoly where the EAC controls over 90% of production.

The Timing of Price Setting and Its Implications

An analysis of the hourly operations in the wholesale market reveals the inherent biases. During night and early morning hours (00:00-06:30 and 16:00-24:00), the EAC operates exclusively, setting prices solely in its favor. In contrast, during peak morning and afternoon periods, both the EAC and RES are active, benefiting both groups. It is only during brief midday windows, usually spanning 2-4 hours, that RES might operate alone, potentially lowering costs for consumers. However, given the modest share of RES operations (only 3.4% of daily demand), the overall pricing mechanism remains steeply skewed towards EAC’s most expensive units, leading to higher bills for consumers.

Data Insights From November 24, 2025

The Cyprus Grid platform data for November 24, 2025, offers a clear illustration of these distortions. For 22 hours of the day, the wholesale price is dictated by the highest-priced conventional unit, while RES participation remains marginal. Even when a small portion (1.2%) is negotiated at a zero wholesale price during low-demand periods, the remainder (2.2%) is still subject to the expensive pricing mechanism. Consequently, both conventional and RES operators are remunerated based on the EAC’s highest cost, further inflating consumer expenses.

Toward a Sustainable Solution

Immediate and long-term reforms are essential to realign the market with the interests of consumers. Two critical measures have been proposed:

1. Immediate Relief: Implementing a Wholesale Price Cap

Setting a ceiling based on thorough analyses of actual production costs could protect consumers. Any excess pricing over this cap would be automatically rebated as reduced bills. This approach, similar to the successful Iberian Exception mechanism implemented in Spain and Portugal from June 2022 to December 2023 for gas-powered generation, would provide immediate consumer relief without disincentivizing investment in storage and flexible generation units.

2. A Permanent Solution: Contracts for Difference (CfDs)

CfDs have gained prominence across Europe and in markets such as the United Kingdom, France, Poland, and Greece. Under this model, renewable energy producers secure fixed prices via competitive tenders for extended periods (typically 15-20 years). When the wholesale price falls below the fixed price, a dedicated CfD fund compensates the producer, and vice versa—if the wholesale price exceeds the fixed rate, the surplus is returned to the fund, ultimately reducing consumer bills. This approach not only stabilizes long-term electricity prices but also enhances investor confidence and ensures an equitable distribution of any premium charged.

Implementation Roadmap and Final Thoughts

Pragmatic steps must be taken immediately:

  • 2026: Launch a pilot CfD program targeting 100 MW of new projects in solar and storage.
  • 2027-2028: Transition to mandatory CfDs for all new renewable, storage, and hybrid projects.
  • 2026 Summer: Amend the relevant legislation to incorporate these reforms.

The experience of markets like Greece and the UK shows that a well-organized, closely monitored tender system for hybrid projects (combining RES and battery storage) can ensure a fairer, more efficient market. The misfit of the current target model in Cyprus does not necessitate its abandonment but rather its rapid recalibration to suit local conditions.

Conclusion

By implementing a temporary price cap for immediate relief and transitioning to CfDs as a long-term solution, Cyprus stands to lower consumer bills, foster investments in renewable energy and storage, and build a fairer, sustainable electricity market. The time to act is now—not after another expensive five-year cycle of high electricity costs, but today, to build a more resilient and cost-effective energy future for every household and business in Cyprus.

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
The Future Forbes Realty Global Properties
eCredo
Aretilaw firm

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