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EU’s Energy Cost Challenge: High Prices Until 2050

The European Union is projected to face the highest energy prices globally until at least 2050, according to a recent study by BusinessEurope. This scenario arises from increased energy demand and inherent disadvantages within the EU’s energy framework. Even under the most optimistic net-zero scenario, the EU’s energy production costs are expected to be at least 50% higher than those in the US and China. In a scenario where climate policies encounter delays, costs could triple compared to key competitors, placing European industries at a severe competitive disadvantage.

The root causes of this cost disparity include the EU’s reliance on energy imports and geopolitical disruptions, notably the reduced gas supplies following Russia’s invasion of Ukraine. Such dynamics have exacerbated the cost challenges, prompting concerns over Europe’s ability to sustain its industrial base against global competitors like the US and China, who may capitalise on their lower energy costs to boost traditional and clean tech sectors, such as steel and wind energy.

Markus Beyrer, Director General of BusinessEurope, has called for urgent action at the EU level to address these energy cost issues. He highlighted the need for competitive energy prices to maintain Europe’s industrial competitiveness. Key recommendations from BusinessEurope include revisiting the phase-out of free carbon emission allowances for manufacturers, better integration of renewable and low-carbon energy sources, ensuring the hydrogen value chain, streamlining licensing procedures, and promoting decarbonisation through incentives.

The high energy costs remain a top concern for major European industrial leaders. Policymakers have recognised the importance of competitiveness in renewable energy as a cornerstone for the next European Commission. However, businesses continue to struggle with bureaucratic hurdles that hinder swift progress in energy transition.

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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