Cyprus Expands Tax Incentives To Attract And Repatriate Skilled Talent

Parliament Approves Strategic Tax Relief Bill

The Cypriot Parliament has approved a new tax relief framework aimed at attracting expatriates back to the country under the national Minds in Cyprus initiative. The bill passed with minimal changes, signaling strong political support for measures designed to strengthen competitiveness and expand the domestic talent base.

Robust Bipartisan Support And Broad-Based Eligibility

The bill was supported by 18 MPs from DISY, DIKO, DIPA, and EDEK, while 16 lawmakers from AKEL, the Ecologists, and several independents abstained. The framework expands eligibility criteria and increases the ceiling for tax exemptions, targeting individuals who have lived abroad for at least seven years.

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Detailed Provisions And Implementation Conditions

Under the new scheme, returning expatriates may benefit from tax exemptions of up to 25% of their income, capped at €25,000 annually. The incentive applies to both salaried employees and self-employed professionals, provided their annual income in Cyprus reaches at least €30,000.

Criteria For Eligibility And Residential Obligations

To qualify, applicants must have been residents of Cyprus during at least one year before their period abroad. Eligibility also covers individuals who worked full-time outside Cyprus for at least 84 months before returning, regardless of academic background, or those with at least 36 months of employment abroad who hold a university degree recognized by the Cyprus Council of Scientific and Technical Advisors.

Presidential Endorsement And National Strategic Vision

President Nikos Christodoulides welcomed the vote, describing it as a key step in advancing the Minds in Cyprus initiative. According to the presidency, the policy forms part of a broader strategy aimed at attracting highly qualified professionals and strengthening long-term economic resilience.

Investing In Human Capital For A Competitive Future

The tax incentive framework reflects Cyprus’ broader effort to enhance its talent pool and improve international competitiveness. By encouraging skilled expatriates to return, policymakers aim to support sustainable growth and reinforce the country’s position as a regional hub for expertise and innovation.

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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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