EU Competitiveness And Strategic Autonomy: Cyprus Sets The Agenda

by THEFUTURE.TEAM

November 22, 2025

Introduction

At the recent BusinessEurope Council of Presidents summit in Nicosia, President Nikos Christodoulides delivered a resolute address, stressing that a stronger, more competitive European Union is essential to achieving strategic autonomy.

Leadership And A Decisive Path Forward

With the Cyprus Presidency of the Council of the EU scheduled to begin in January 2026, the president outlined a clear mandate: transition from prolonged debate to decisive action. He noted that over 70 percent of the upcoming agenda will focus on enhancing the union’s competitiveness—an area that has lagged on the global stage.

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Forging Partnership With The Business Community

In a series of high-level discussions, including a key exchange at the Presidential Palace, President Christodoulides underscored the indispensable role of Europe’s business community. He asserted that robust partnership frameworks are critical as the presidency assumes the mantle of leading the union through transformative periods.

Competitiveness And Strategic Autonomy In Tandem

Emphasizing the close nexus between economic competitiveness and strategic autonomy, the president warned that without a competitive edge, the EU cannot assert its position as a global strategic actor. He pointed to the lessons of recent geopolitical turbulence, including the Russian invasion of Ukraine, which has starkly illustrated the risks of economic dependency.

Economic Resilience And Fiscal Discipline

Highlighting Cyprus’s own economic success, President Christodoulides cited impressive growth figures, low unemployment rates, and a restored ‘A’ investment-grade status as examples of resilient fiscal management. These benchmarks not only strengthen Cyprus’s position but also serve as a blueprint for driving the Union’s broader economic revival.

A Strategic Roadmap For Europe

Looking ahead, the Cyprus Presidency will prioritize regulatory simplification, enhance the Single Market, and advance key strategic trade agreements with global partners. With initiatives such as the forthcoming Commission’s Single Market Roadmap to 2028 and extensive Omnibus Simplification Packages, the path forward is both clear and ambitious.

President Christodoulides concluded with a call to unity, reminding all member states that the true value of the European project lies not in geographic size, but in sustained commitment and the relentless pursuit of excellence on the global stage.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

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.

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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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