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European Housing Market Challenges: Escalating Prices and Strategic Implications

Rising Prices Across the European Union

The European Commission’s recent report, “Housing in the European Union: Market Developments, Underlying Drivers, and Policies,” underscores that the issues of housing scarcity and escalating property prices extend far beyond Cyprus. The report reveals a dramatic surge in home prices throughout the EU over the past decade, largely outpacing income growth. In certain markets—Portugal being a prime example—properties have become substantially overvalued, highlighting the severity of the housing predicament across the continent.

Demand Dynamics and Supply Constraints

The report attributes the housing demand to several interlinked factors: rising incomes, increased wealth, shifting demographics, and the evolving terms of mortgage lending. Wealthier households and investors are increasingly dominating market activity. On the supply side, regulatory hurdles and a dearth of skilled labor have slowed the pace of new construction, with refurbishment projects often prioritized over new builds. This imbalance continues to strain the housing market, as further evidenced in countries like Portugal, Croatia, Spain, and Greece where construction permits are at or near historic lows.

Lending Capacity and Economic Pressures

Technocrats within the report indicate that household borrowing capacity has been significantly impacted by the hike in interest rates. In 12 member states, this capacity in 2024 is lower than it was in 2019, reflecting the harsh economic realities of tighter credit. In contrast, the remaining 15 countries have seen an improvement due to income gains, although interest rates remain in a contractionary posture compared to pre-tightening levels. This divergence illustrates the varied economic resilience across the EU.

Regulatory Bottlenecks and Taxation Policies

Excessive bureaucracy continues to hamper the issuance of construction permits, dampening the expansion of available public housing stock. While most EU countries enforce periodic property taxation, six nations—including Cyprus—do not, adding another layer of complexity to the market’s regulatory environment. Clear timeframes for permit approvals range dramatically—from as short as three weeks in Lithuania to an extended 31 weeks in Portugal, with several countries lacking a defined period altogether.

The Challenge of Vacant Properties

Adding to the multifaceted housing crisis, the report highlights that nearly one in six properties across the EU remains vacant. This issue is particularly acute in nations such as Bulgaria, Romania, Portugal, Malta, Cyprus, and Hungary, representing a significant challenge that necessitates strategic policy interventions.

Overall, the Commission’s analysis paints a picture of a market in flux, where rapid price increases and constrained supply are forcing stakeholders to rethink housing policies and investment strategies. The findings serve as a critical reminder for European leaders and investors to address these systemic issues with innovative, market-forward solutions.

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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