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Cyprus Cuts Electricity VAT To 5% As Part Of 100 Fiscal Measures

President Nikos Christodoulidis announced a package of 100 fiscal measures to address inflation and reduce costs for households and businesses. Measures include tax cuts and targeted support. Plan focuses on energy prices, fuel costs and consumer spending. Implementation begins in 2026.

Broad-Based Tax Cuts And Immediate Relief

Among the suite of initiatives is a reduction in fuel tax, widely recognized as an effective short-term relief strategy. However, an even more significant policy step involves transferring savings directly to consumers via improved fiscal mechanisms. This approach ensures that the benefits of tax reductions are channelled efficiently to end users, reinforcing trust and stability in the market.

Strategic VAT Reduction On Electricity

VAT on electricity will be reduced to 5% from May 1, 2026, to March 31, 2027. The rate was previously lowered from 19% to 9%. Electricity pricing remains regulated by the Public Electricity Company. Structure limits the impact of market-driven price increases.

Ensuring Market Stability And Consumer Protection

Alongside tax cuts, the government is monitoring potential increases in consumer costs, including fuel and products that may be considered for zero VAT. President Nikos Christodoulidis said market oversight will be strengthened, with measures aimed at preventing unjustified price increases.

Electricity price is about 26 cents per kilowatt-hour, down 14% compared to the same period in 2025. According to the Public Electricity Company, price increases in the coming months are expected to remain below 5%. Measures are designed to limit inflation pressures and support household costs. Impact will depend on market conditions and implementation.

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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