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State Budget Execution Reflects Lower Borrowing And Debt Repayment Trends

Overview Of Fiscal Performance Through October 2025

The execution of the state budget until the end of October 2025 has reached 65% for revenues and 59% for expenditures, according to data released by the General Accounting Office. This performance marks a decline relative to the previous period, attributed largely to reduced borrowing and lower scheduled debt repayments.

Revenue Analysis

State revenues totaled €7.63 billion, a decrease from €8.48 billion recorded in 2024. This shortfall comes despite an increase in both indirect taxes, which rose by €0.13 billion—with enhancements in VAT, consumption taxes and other related levies—and direct taxes, which saw an increase of €0.16 billion mainly driven by higher income tax collections. In stark contrast, loan withdrawals plunged to €0.09 billion compared to €1.14 billion in the prior year.

Government Expenditures

Actual state expenditures came in at €7.68 billion, down from €8.77 billion last year. Spending on wages, pensions, and indemnities was recorded at €2.73 billion, showing a modest reduction compared to the previous period. Notably, repayments on debt and interest contracted to €0.82 billion from €2 billion, reflecting a strategic move towards lowering the fiscal burden of public debt.

Social Spending And Allocations

Social benefits experienced an uplift, totaling €1.51 billion, largely due to augmented funding for the Renewable Energy Sources Fund and increased allocations towards health services, even as social welfare outlays diminished. Additionally, transfers and grants rose to €1.46 billion—a €0.13 billion increase over the previous year—highlighting enhanced financing to municipalities, social insurance programs, and the unified European Asylum Facility.

Operational, Capital And Developmental Investments

Operational expenditures fell by 11% to €0.70 billion. Capital spending amounted to €285.1 million with significant investments directed toward road infrastructure, government buildings, water systems, and educational facilities. Meanwhile, co-financed projects reached €153.5 million, and grants awarded to universities, organizations, and for social benefits totaled €163.1 million. The General Accounting Office notes that the relatively low expenditure rate in 2025 is largely attributable to the seasonal scheduling of public debt repayments, while developmental spending achieved a 46% execution rate—surpassing the decade-long average of 42%.

This careful recalibration of fiscal policies, emphasizing reduced borrowing and measured debt servicing, underscores a broader commitment to sustainable financial management in a challenging economic environment.

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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