Last-Minute Tax Filers Fuel 6.3% Uptick in Declarations

by THEFUTURE.TEAM

October 19, 2025

Significant Compliance Among Last-Minute Taxpayers

In a striking display of last-minute compliance for the 2024 tax year, approximately 5,500 taxpayers submitted their wage and self-employment income declarations on the final day. This cohort represents 25% of all taxpayers who availed themselves of the extended filing period offered by the Tax Authority from October 1 to October 15.

Record Volumes and Strategic Extensions

The recent extension allowed the Tax Authority to process about 22,600 declarations during this extended window, with roughly 22,000 of these formulations finalized. Since the filing began on April 30, nearly 337,400 taxpayers have officially submitted their tax returns, with a marginal 5,200 still under temporary processing. These figures underscore the demand for more flexible filing arrangements, echoing broader trends in compliance during peak tax periods.

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Comparative Analysis With the Previous Fiscal Year

Sótiris Markidis, a representative of the Tax Authority, emphasized that the additional time permitted more citizens to meet their filing deadlines, culminating in a 6.3% increase in returns compared to the previous fiscal year. This statistic not only reflects an effective public policy adjustment but also highlights the ongoing evolution in taxpayer behavior under changing administrative timelines.

Implications for Future Tax Strategies

The recent metrics provide policymakers and business leaders with critical insights into taxpayer responsiveness and the benefits of flexible deadlines. As corporations and individual professionals strategize around fiscal planning, understanding these trends is essential. The Tax Authority’s data serves as a benchmark for gauging the potential impact of future administrative adjustments on overall tax compliance and revenue collection.

The detailed analysis of filing behaviors during the extension period underscores the need for continuous adaptive strategies in public administration and corporate tax planning, driving more informed decision-making at all levels.

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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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