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Navigating New Reporting Standards: CySEC’s Guidance for Cyprus Investment Firms

The Cyprus Securities and Exchange Commission (CySEC) has released an essential update aimed at all Cyprus Investment Firms (CIFs) on how to report cross-border investment activities within the European Economic Area (EEA) for the coming year.

This change, built on Circular C694 under section 25(1)(c)(ii) and (iii) of the CySEC Law, aligns with broader European initiatives spearheaded by the European Securities and Markets Authority (ESMA). Prime focus is on CIFs extending their services beyond national borders to countries like Norway, Iceland, and Liechtenstein.

Key Reporting Requirements

CIFs must complete an online questionnaire for activities between January 1 and December 31, 2024, particularly if more than 50 retail clients are involved. Services under the “freedom to provide services” must be reported, excluding those provided through local branches.

Reporting of inactive clients is not needed unless they still generate revenue despite inactivity. Each host member state with significant client activity requires a separate submission, excluding Cyprus as a home state from this requirement.

The deadline for these submissions is May 26, 2025, with an email and password necessary to access the reporting platform. Important: Preserve submission confirmations as evidence of compliance.

Consequences Of Non-Compliance

CySEC warns that failing to adhere to these guidelines could result in administrative penalties. There will be no reminders for missing submissions—CIFs must ensure their reporting is on time and accurate.

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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