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Cyta Unveils 2026 Budget For Digital And Infrastructure Upgrades

Strategic Digital Investment For Sustainable Growth

State-owned telecommunications leader Cyta unveiled its 2026 budget before the House finance and budget committee, emphasizing a commitment to digital infrastructure investment, network resilience, and the expansion of next-generation technologies. This forward-looking plan not only bolsters profitability but also reinforces Cyprus’ standing in the digital economy.

Robust Financial Discipline And Future-Focused Investments

Cyta said the budget is based on recent financial performance and a defined investment roadmap. Chair Maria Tsiakka stated that the plan is intended to deliver benefits for citizens, businesses and the wider economy. Revenues increased from €415 million to €442 million, while pre-tax profit is projected to reach €85 million in 2025, indicating steady financial performance and continued investment capacity.

Pioneering Next-Generation Technology Initiatives

The 2026 budget prioritizes next-generation network rollout. Cyta plans to maintain nationwide 5G coverage and continue expanding its fibre network across the island. Fibre works in urban and main rural areas are largely complete, with remote regions scheduled for early 2026, aiming to improve access to digital services.

Enhancing International Connectivity And Network Resilience

International connectivity is another focus area. The completion of the BlueMed subsea cable branch in 2025, along with ongoing expansion projects in the southeastern Mediterranean, is expected to strengthen Cyprus’ digital links. A multi-year agreement with a European satellite provider is also intended to improve broadband access and network reliability.

Investing In Data Infrastructure And Cybersecurity

Data hosting and cybersecurity remain key priorities. Cyta acquired the Simplex LCA1 data center in Larnaca and plans to invest about €20 million in data facilities and a further €20 million in energy upgrades. Compliance with ISO 27001 standards and the NIS2 regulatory framework is cited as part of its security and data protection strategy.

Operational Excellence And Workforce Development

The budget also addresses operational efficiency and workforce planning. Cyta employs around 1,960 staff and has continued targeted hiring while reviewing regulatory frameworks related to workforce restructuring. The approach is intended to align technological investment with human resource planning.

A Pillar Of National Progress

Cyta noted that its contributions to the public purse have exceeded €1.29 billion over the past 25 years. Continued investment in infrastructure and connectivity is expected to support both technological development and broader economic activity in Cyprus.

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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