Breaking news

Cyprus’ Economic Strategy: Aiming for Sustainable Growth by 2028

Strategic Fiscal Policies to Boost Cyprus’ Economy

The Finance Ministry recently unveiled its strategic fiscal policy framework for 2026 to 2028, laying the groundwork for anticipated economic stability and reduced public debt over the next four years.

Projected economic growth rates vary from 2.9% to 3.1%, while public debt is expected to drop significantly to 43.3% of GDP by 2028. The plan marks a commitment to safeguarding fiscal health amidst geopolitical risks, and a dedication to structural reforms remains key.

The framework sets budgetary ceilings for ministries and public bodies based on macroeconomic outlooks, striving for transparency and efficient resource use.

The Cyprus government targets a 3.5% budget surplus in 2025, gradually increasing to 3.7% by 2028, reflecting the sound fiscal principles guiding its economic policies.

Inflation control is also on the agenda, poised to stabilize around 2% by 2028, ensuring economic resilience in uncertain times.

Unemployment rates are predicted to linger around 4.5% by 2028, as revised fiscal strategies bolster job creation.

Strategic funding sources include new bond issuances, bilateral loans from the European Investment Bank, and the issuance of individual bonds, all integral to the envisioned fiscal landscape.

Central government revenues are set to climb, with ceilings for expenditures meticulously determined to align with fiscal goals.

Potential risks involve geopolitical instability and economic challenges from existing sanctions affecting Cyprus’s service sector.

With a strong focus on public sector improvements and efficient governance, Cyprus aims to reinforce climate and energy security and push for digital transformation to drive a competitive economy.

As Cyprus gears up for its EU Presidency, it highlights ongoing efforts to implement reforms and investments in various sectors.

The government’s unwavering commitment to fiscal stability aims to enhance the landscape for sectors like tourism and higher education, ensuring a stronger, more resilient economy for the years ahead.

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
eCredo
The Future Forbes Realty Global Properties
Aretilaw firm

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter