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EU Launches Excessive Deficit Procedure Against Finland Amid Fiscal Breach

The European Union’s Economic and Financial Affairs Council has initiated an excessive deficit procedure against Finland, marking a decisive intervention amid mounting fiscal concerns. The move comes as Finland’s state deficit has surged past the limits prescribed under EU fiscal discipline, reflecting broader challenges in managing public finances within the Union.

Fiscal Breach Triggers Regulatory Action

EU finance ministers, assembled under ECOFIN and led by Finance Minister Makis Keravnos, have confirmed that Finland’s deficit escalated to 4.4 per cent of GDP in 2024 and is projected to remain elevated at 4.3 per cent in 2025. Despite Finland’s invocation of the national escape clause for defense spending—a provision that allows for a temporary overshoot of the deficit by up to 1.5 per cent—the measures have proven insufficient to mitigate the broader fiscal imbalance.

Mandated Corrections and Timely Interventions

The Council has issued a formal recommendation delineating a mandatory fiscal adjustment path, alongside a strict timeline requiring corrective measures to be implemented by April 30, 2026. In addition, specific constraints were imposed on the growth of net public expenditure: no more than 2.5 per cent in 2026, 4.1 per cent in 2027, and 5.9 per cent in 2028. These rigorous stipulations are designed to guide Finland back within the EU’s fiscal parameters as established by the Stability and Growth Pact.

Strengthening Economic Governance Across the EU

Under the Stability and Growth Pact, EU member states must maintain their budget deficits below 3 per cent of GDP and ensure that public debt does not exceed 60 per cent of GDP. The excessive deficit procedure is a vital instrument that not only supports the correction of fiscal imbalances but also fortifies the overall sustainability of public finances across the European Union.

Broader Implications for EU Economic Policy

The decision on Finland was discussed alongside key eurozone policy priorities during the ECOFIN session. The meeting, presided over by Keravnos, also covered critical topics such as Bulgaria’s progress towards adopting the euro, strategic economic policies for 2026 based on European Commission recommendations, outcomes from recent G7 finance meetings, and discussions on leadership roles within the European Central Bank. These deliberations underscore the interconnected nature of fiscal policy and broader economic governance within the EU framework.

Conclusion

This decisive fiscal intervention against Finland highlights the EU’s steadfast commitment to maintaining fiscal discipline. By enforcing stringent corrective measures and clear timelines, the Council aims to ensure long-term financial stability, bolstering confidence in the Union’s economic management at a time of considerable global uncertainty.

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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