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Greece’s Housing Crisis: Key Drivers And Solutions

Greece is grappling with a severe housing crisis caused by a sharp decline in construction activity and reduced household purchasing power. What was once a typical housing market is now facing a significant shortage of new properties, exacerbating the affordability gap for many Greeks.

The Decline In New Construction

From 2001 to 2011, Greece built an average of 52,000 new homes per year, with 31,000 of them in Attica. But from 2011 to 2021, this dropped to just 26,000 homes annually, with a mere 4,500 in Attica. The housing supply has fallen by as much as 85%-90% compared to the pre-crisis period. Though construction activity has revived in recent years, it is still far from meeting demand.

The Paradox Of Vacant Homes

One of the most perplexing aspects of Greece’s housing issue is the 700,000 vacant homes across the country, according to the latest census. While this large number suggests there should be enough supply, the crisis is fueled by other factors such as rising divorces and a growing number of single-member households, driving up demand.

Mortgage Decline And Shrinking Purchasing Power

Another critical indicator of the housing crisis is the dramatic drop in mortgages. In 2023, only 14,000 new mortgages were issued, compared to 115,000 in 2007. Meanwhile, disposable income in Greece is now at just 68% of the 2010 level, making it harder for people to afford homes. This has further increased pressure on the housing market as real estate prices continue to rise.

Urban Planning And Unused Land

Urban planning policies have also played a role in limiting housing supply. Expansive areas like Mesogeia and Eleonas in Attica remain largely unexploited, while restrictions on existing properties prevent efficient use of available land. These factors prevent the market from responding to growing demand.

Limited Real Estate Availability

Banks and servicers currently hold around 15,000 residential properties, but many of these are occupied, making it difficult to release them to the market. Though efforts to speed up their availability are underway, the overall supply remains limited.

Short-Term Rentals And Their Impact

While short-term rentals contribute to the housing shortage, they are not the primary cause. The real issue is that no new homes have been built in the past 15 years, and renovation costs have risen sharply. Additionally, high taxes and unpaid rents discourage owners from offering long-term leases.

Economic Disparity: Rising Prices vs. Stagnant Incomes

From 2015 to 2024, property prices increased by 5% annually, while average per capita income grew by just 3%. This disparity, coupled with the 20% annual growth in short-term rentals, has made homeownership increasingly out of reach for many Greeks.

Conclusion: A Call For Action

The housing crisis in Greece is multifaceted: insufficient new construction, limited availability of real estate, economic stagnation, and restrictive urban planning all contribute to the problem. Urgent policy changes, including incentives for new construction and better management of vacant properties, are needed to address the growing housing demand and restore affordability.

OpenAI Releases GDPval Benchmark To Gauge AI Performance Against Human Experts

New Benchmark Sheds Light on AI’s Capabilities

OpenAI has unveiled GDPval, a new benchmark designed to evaluate its AI models against human professionals across a broad spectrum of industries. This initiative represents a critical step in understanding how far today’s AI is from matching or surpassing the work quality of experts in sectors such as healthcare, finance, manufacturing, and government.

Methodology and Industry Scope

The GDPval benchmark focuses on nine major industries contributing to America’s gross domestic product and tests AI performance in 44 distinct occupations—from software engineering to nursing and journalism. In its initial version, GDPval-v0, industry professionals compared reports generated by AI models with those produced by their human counterparts. For instance, investment bankers were tasked with evaluating competitor landscape analyses for the last-mile delivery industry, ensuring that the assessment reflects real-world complexity.

Comparative Performance: AI Advances and Limitations

Results indicate promising progress; OpenAI’s GPT-5-high, an enhanced iteration of its flagship model, achieved a win rate of 40.6% when compared head-to-head with industry veterans. More notably, Anthropic’s Claude Opus 4.1 reached nearly 49% on similar criteria. However, OpenAI acknowledges that these models are not yet positioned to replace human labor entirely, as the current iteration of GDPval covers a narrow slice of actual job responsibilities.

Expert Insights and Future Directions

In a discussion with TechCrunch, OpenAI’s chief economist, Dr. Aaron Chatterji, noted that the benchmark’s favorable outcomes suggest professionals may soon delegate routine tasks to AI. This, he argued, will free up valuable time for focusing on higher-impact work. Industry observer Tejal Patwardhan also expressed optimism, emphasizing the significant performance leap from GPT-4’s 13.7% score to nearly triple that figure with GPT-5.

Benchmarking And The Road To Comprehensive AI Evaluation

While GDPval represents an early milestone, it aligns with a broader effort among Silicon Valley titans to create robust testing frameworks, such as AIME 2025 and GPQA Diamond, that better quantify AI proficiency for real-world applications. OpenAI plans to expand GDPval to encapsulate more industries and interactive workflows, aiming to bolster its claims about AI’s growing economic value.

As the benchmark evolves, GDPval could play an instrumental role in the ongoing debate around artificial general intelligence, highlighting the potential and limitations of AI models poised to reshape the modern workforce.

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