43% Of Cyprus CEOs Cite Talent Shortages As Top Business Risk

PwC surveyed 77 CEOs in Cyprus, finding that 43% identify skilled labor shortages as a key business risk for the next 12 months. The findings place talent constraints ahead of several other risks and highlight ongoing challenges in hiring employees with the required capabilities.

Critical Talent Gaps And Strategic Concerns

The survey shows that 43% of CEOs rank talent shortages as a primary threat, compared with geopolitical conflicts at 30%, technological change at 22% and cyberattacks at 21%. The data indicate that workforce availability remains a central constraint for business operations. PwC surveyed the latest escalation in the Middle East. Current perceptions of geopolitical risk may therefore be higher than reflected in the results.

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Technology Talent And The AI Imperative

Hiring challenges are more pronounced in artificial intelligence roles, where 45% of CEOs said they are not confident in their ability to recruit qualified specialists. Demand for technical expertise continues to outpace supply in this segment. Global data show a different trend, with 42% of CEOs expressing confidence in their ability to secure AI talent. The gap highlights regional differences in workforce availability and hiring conditions.

Confidence In Leadership And The Demand For Transparency

Executives also reported increased scrutiny of leadership decisions, cited by 13% of respondents. Demand for transparency was identified by 10%, while 9% pointed to concerns related to AI security and responsible use. These responses reflect pressure on management teams to balance operational decisions with governance, risk and communication expectations.

Insights From PwC Cyprus

Philippos Sosielos, CEO of PwC Cyprus, said the findings reflect structural challenges linked to skills, technology and geopolitical developments. He added that the business environment is becoming more complex as multiple risks converge. Sosielos noted that the survey results were recorded before recent geopolitical developments, indicating that current risk levels may be higher.

Long-Term Strategic Imperatives

Companies are expected to address workforce gaps through long-term planning and investment in skills development. Talent strategy is becoming a core component of business resilience. Future responses will depend on how organizations align recruitment, training and technology adoption with changing market conditions.

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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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