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Tax Reform Revision Ushers In A €22,000 Tax-Free Income Threshold

Government And Parliamentary Consensus

A recent meeting between representatives of the ruling parties—DISY, DIKO, DIPE, and EDEK—and Finance Minister Makis Keravnos has set the stage for significant revisions in the upcoming tax reform. The proposed adjustments include elevating the tax-free income threshold to €22,000, a figure considerably higher than the originally projected €20,500.

Enhanced Income Limits And Tax Relief Measures

The government is set to introduce modifications aimed at increasing tax benefits for a broader range of taxpayers. One key change is the adjustment of the annual income ceiling for additional tax deductions—from €80,000 to €90,000. Moreover, the thresholds will scale with family size: the limit will rise to €100,000 for those with a second child, escalate to €150,000 for families with a third or fourth child, and reach €200,000 for households with more than four children.

Additional tax relief measures include maintaining a €1,000 deduction for one child, increasing to €1,250 for two children, and further up to €1,500 for households with three or more children. Notably, deductions for mortgage interest on housing loans and rent payments are also set to increase to €2,000.

Elimination Of Stamp Duty And Fiscal Prudence

In a further move to modernize the tax system, the participating parties have signaled their intent to propose the abolition of the stamp duty. Finance Minister Keravnos emphasized that all proposed changes will remain within the framework of strict fiscal discipline, ensuring that the adjustments do not compromise the nation’s overall economic stability.

Commitment To A Competitive Economic Environment

Key political figures have voiced their support for these reforms, highlighting that a unified parliamentary majority is essential for achieving substantive results. Leaders such as DISY’s Onourphios Koullas and DIPE’s Alékos Tryfonidis underscored that the reform efforts are designed to benefit low-income earners, the middle class, families with students, and businesses alike, thereby reinforcing Cyprus’s reputation as an attractive hub for commerce and investment.

This collaborative initiative represents a forward-thinking approach in aligning fiscal policy with contemporary economic demands, ensuring that the forthcoming tax reform will facilitate both citizen welfare and a robust business climate.

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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