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CySEC Sets Deadline For Сrypto-asset Service Providers To Secure MiCA Authorisation

The Cyprus Securities and Exchange Commission (CySEC) has issued a definitive notice to crypto-asset service providers (CASPs) operating within the Republic: all such entities must apply for authorisation under the Markets in Crypto-Assets Regulation (MiCA) by February 27, 2026, to ensure their continued legal operation.

Transition Provisions For Registered Entities

Following its announcement on October 17, 2024, and the subsequent Circular No. 674, CySEC clarified that firms registered under the existing national framework may continue operating throughout the transitional phase. This period extends until a decision on their MiCA application is rendered or until the transitional period concludes on July 1, 2026, whichever occurs first.

Mandatory Wind-Down Protocols

In its statement, the regulator warned that any CASP failing to secure MiCA authorisation by the stipulated deadline must submit a wind-down plan. Unauthorised providers will be prohibited from offering crypto-asset services once the transitional period ends, reinforcing the imperative for compliance.

Cross-Border Service Regulations

The commission further emphasized that the cross-border provision of services to other EU member states is contingent upon the host country’s legislative provisions and any applicable grandfathering regimes. Firms are required to adhere strictly to guidance issued by the European Securities And Markets Authority (ESMA) to ensure full regulatory compliance.

Impact On The Cypriot Financial Sector

This regulatory shift marks a significant transformation for the Cypriot financial sector, aligning its digital asset operations with the rigorous standards of the European Union. CASPs that remain registered continue to be bound by domestic obligations and Regulation (EU) 2023/1113, underscoring CySEC’s commitment to enhancing confidence, transparency, and security in the crypto-asset market.

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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