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Greece’s €42.3 Billion Problem: The Persistent Shadow Of Zombie Companies

One in ten businesses in Greece is a “zombie” company—unable to service loans, collectively holding a staggering €42.3 billion in bad debt. These businesses, accounting for 8.9% of the corporate sector, have long been a drag on the Greek economy, earning their unenviable label as zombie firms.

In its latest quarterly economic report, the Foundation for Economic and Industrial Research (IOBE) underscores the urgency of resolving these bad business loans. It highlights that these firms, by their nature, cannot restructure their debt independently, posing a perpetual obstacle to entrepreneurial growth.

The Scale Of The Problem

The unresolved bad loans from these zombie firms include €8.9 billion still managed by commercial banks and an additional €33.4 billion transferred to loan servicers by the end of 2022. This combined figure of €42.3 billion remains a significant burden on the banking system, stifling its ability to finance new ventures and economic growth.

The origins of this debt crisis trace back to Greece’s prolonged economic downturn. Non-performing business loans peaked at €58 billion in 2015, representing 47% of all business loans. Although this figure has declined significantly—down by €49.1 billion to €8.9 billion in 2022—the remaining €42.3 billion underscores the persistent challenge. Since 2015, the “real” reduction in business-related bad loans totals €15.7 billion.

Zombie Companies By The Numbers

The phenomenon of zombie businesses—firms unable to meet loan or interest payments—escalated during the 2010-2018 economic crisis. Between 2005 and 2013, their share rose from 10% to 18.6% of all businesses, before receding to 8.9% by 2022.

Interestingly, while smaller businesses have historically shown higher rates of zombification, large firms also exhibited notable vulnerability during the 2005-2016 period. However, since 2013, the share of zombie companies has declined across all business sizes.

A Leading Indicator Of Financial Distress

According to IOBE, the prevalence of zombie businesses closely correlates with the rate of non-performing exposures (NPEs) on bank balance sheets. Notably, the rise in zombie companies typically preceded the increase in NPEs, suggesting that the zombie rate serves as a leading indicator of financial distress in the banking sector.

More recently, the decline in zombie businesses has outpaced the reduction in NPEs. This trend, IOBE explains, stems from the protracted liquidation of companies that have ceased operations but whose debts remain unresolved. These defunct firms are excluded from databases like ICAP, which track active businesses.

Moreover, the size of the average zombie company has shifted. Before the crisis, and again after 2017, zombie firms were generally smaller, reflecting a change in the economic landscape over time.

The Path Forward

The persistence of zombie companies is not merely a banking issue; it is a systemic challenge for the Greek economy. Resolving these bad loans swiftly and effectively is essential to unlocking entrepreneurial potential and enabling Greece’s financial sector to support new business ventures.

As the IOBE report makes clear, addressing this issue isn’t just about cleaning up balance sheets—it’s about paving the way for sustainable economic growth.

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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