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Structural Labor Shortages In Construction Challenge Economic Competitiveness Across Cyprus And The EU

by THEFUTURE.TEAM

January 6, 2026

Persistent Challenges In The Construction Sector

The construction industry in Cyprus and throughout the European Union is confronting enduring labor shortages that have evolved from temporary issues to deep-seated structural challenges. Industry bodies, including the Federation Of Building Contractors (Oseok), have repeatedly urged policymakers to recognize that these labor deficits are undermining growth and competitiveness over the long term.

Insights From Cyprus: A Sector Under Strain

Recent discussions between Oseok and Cyprus Labour Minister Marinos Mousiouttas have underscored a worrying trend: the shortage of skilled and unskilled labor appears not merely cyclical but systemic. Despite near full employment in the general economy, the construction sector experiences severe labor deficits, causing significant delays in both private development and public infrastructure projects.

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Drivers Of A Structural Crisis

According to Oseok, multiple factors contribute to the crisis. A declining influx of domestic workers—fewer Greek Cypriots are entering the industry—combined with an aging workforce ill-equipped to meet modern demands, have exacerbated the situation. The sector now demands advanced technical skills and a deep understanding of sustainable building practices, competencies that require substantial investment in training and education.

Regional Trends And Broader Implications

The construction labor shortage is not confined to Cyprus. Across the European Union, where the industry supports more than 13 million workers, official shortage lists continue to highlight 42 occupations in distress. European Commission Vice-President Roxana Mînzatu has noted that up to 80% of businesses struggle to secure employees with the necessary skills, a fact that resonates strongly in sectors such as construction, transport, and healthcare.

Structural Mismatches And The Role Of Education

Experts point to a mismatch between evolving labor market demands and outdated educational frameworks, compounded by demographic challenges. Industry analysts such as Ilias Livanos of Cedefop emphasize that rapidly evolving sectors make it increasingly difficult to predict future skill requirements, while specialists like Peter Bosch of the Egmont Institute highlight that technological progress—especially in robotics and artificial intelligence—further intensifies the need for a skilled workforce.

Policy Initiatives And The Path Forward

Significant investment proposals, including an €800 billion European rearmament plan and substantial defence and infrastructure spending in Germany, are set to escalate labor demand. In response, the European Union has launched strategic programs such as the Skills Union and initiatives like BUILD UP Skills, funded by the LIFE Programme. These efforts are aimed at enhancing training, retraining, and labor mobility, as well as modernizing national skills roadmaps across member states.

A Call For A Coordinated Strategy

Oseok advocates for a strategic, coordinated approach that combines streamlined procedures for hiring foreign workers with targeted training and a realignment of educational priorities. As Peter Bosch insights remind us, developing solutions for the skills gap is a shared responsibility among governments, employers, and individuals.

The construction sector’s ongoing labor crisis is not only delaying projects and inflating costs but also threatening the broader economic competitiveness of the region. Addressing these challenges will require innovative policy responses that integrate long-term strategic planning with immediate measures to alleviate professional shortages.

The Future Forbes Realty Global Properties

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.