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Revised Financial Oversight: New €300K Turnover Threshold Governing Business Reviews

New Financial Review Threshold Reshapes Business Reporting

The regulatory landscape governing corporate financial disclosures is undergoing significant change. The turnover threshold for mandatory financial statement reviews has been increased from €200K to €300K. As a result, 54,549 businesses with annual revenues up to €300K will now be subject to a financial review rather than a full audit, in line with recent proposals approved by the governing body.

Economic Impact and Revenue Figures

Data from the Taxation Department reveals that companies within this category generated €301.7 million in revenue in 2022, escalating to €414.3 million in the following year. Furthermore, from 2023 to date, 51,075 enterprises with turnovers up to €200K have undergone financial reviews, contributing €227.8 million in 2022 and €306.8 million last year in state revenue collections.

Policy Adjustments and Governmental Coordination

Originally, a law proposal from ΔΗΣΥ envisaged raising the review threshold to €900K. However, after feedback from the Taxation Department, the Central Bank, and major financial institutions, the limit was first reduced to €400K. A subsequent verbal amendment submitted by ΔΗΚΟ in the Hellenic Parliament ultimately set the threshold at €300K.

Enhanced Oversight Through Updated Reporting Standards

The revised law delegates the responsibility for setting Financial Reporting Standards to the Securities and Exchange Commission of Greece (ΣΕΛΚ). This authority is tasked with not only developing these standards for the preparation of financial statements but also monitoring their effective implementation and advising the Minister of Finance on potential adjustments. The Ministry will maintain its role in approving these standards, ensuring compliance with European guidelines, and facilitating transparency by publishing them officially in both Greek and English.

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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