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Cyprus Confronts Energy Dependency Amid Heightened Geopolitical Risks

Energy Import Dependency In Focus

Cyprus remains one of the European Union’s most energy-dependent nations, as recent data highlights a significant reliance on imports. A Eurostat report indicates that in 2024, the island recorded an 88% energy import dependency, placing it alongside Malta and Luxembourg at the upper end of the spectrum within the EU.

Reliance on Fossil Fuels Across The Union

Across the EU, the overall energy import dependency rate stands at 57%, with oil and petroleum products making up 67% of these imports. Natural gas accounts for 24%, followed by solid fossil fuels, electricity, and renewable energy at 4%, 3%, and 2%, respectively. Key suppliers include the United States, which provides 16% of oil and petroleum products, Norway, which supplies 30% of natural gas, and Australia, responsible for 31% of solid fossil fuels.

Geopolitical Strains And Market Vulnerabilities

The structural vulnerability of energy systems is laid bare, especially for nations like Cyprus that have limited domestic resources. Amid regional tensions in the Middle East, and developments linked to Iran, concerns are mounting over potential disruptions and price volatility in fuel supplies. Government spokesperson Konstantinos Letymbiotis stated that the situation is closely monitored for its impact on fuel and energy prices. F

Economic Implications And Market Dynamics

Cyprus remains among the lowest-cost fuel markets in the EU, ranking second for unleaded 95 and fourth for diesel. However, fuel prices increased sharply between March 1 and 16, according to the Cyprus Consumers Association.

Petrol rose by 10.7 cents per litre, diesel by 16.7 cents, and heating oil by 13.6 cents. Over the same period, the consumer price index increased from 107 in March 2022 to 117, indicating growing pressure on household budgets.

Policy Considerations And The Road Ahead

The Cyprus Consumers Association called on the government to reinstate fuel subsidies, stating that the measure would have a limited impact on public finances. High dependence on energy imports and ongoing geopolitical tensions continue to affect domestic prices, increasing pressure on households and supporting the case for targeted policy measures.

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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