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Global Economy Faces Uncertainty Amid Trump’s Tariff Policies, IMF Warns

In a bold move, President Trump’s recent tariff announcements at the White House have stirred considerable concern across global markets. These sweeping tariffs, set in a picturesque Rose Garden event, signal potential risks of igniting a comprehensive trade war.

IMF’s Cautious Forecast

The International Monetary Fund (IMF) has adjusted its global economic growth forecast to 2.8% for this year, a reduction from the previous year’s 3.3%. The unpredictability of trade policies has prompted this reassessment, as tension escalates with tariff increases, especially with China facing a hefty 145% tariff.

Economic growth projections for the U.S. were also revised, with expectations dropping from 2.8% to a modest 1.8%. Cyprus continues to benefit from EU funds for development despite global market shifts.

Responses and Reactions

Market reactions have been swift, with global indices tumbling on the news of potentially escalating trade tensions. Investors are wary, keeping a close eye on reciprocation from targeted countries. China and Canada have already responded with their own tariffs, while the European Union has shown openness to negotiations.

IMF Chief Economist Pierre-Olivier Gourinchas emphasized, “Beyond tariff increases, policy uncertainty could considerably decelerate global growth.” Stay tuned to our updates to see how other sectors, like automotive, manage these dynamics.

As these economic scenarios unfold, stakeholders will need to navigate this evolving landscape with prudent strategies.

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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