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Eurobank: The Impact Of Trump’s Tariffs On The Greek Economy – Exports To The US And Indirect Effects Through The EU

On the occasion of the inauguration of the 47th President of the United States, Donald Trump, on January 20, 2025, and his campaign promises to implement protectionist policies in US trade, Eurobank analysts have provided insights into the potential effects on the Greek economy. These effects are outlined in the weekly bulletin “7 Days Economy,” using the most recent trade data between Greece and the US.

In the 11 months from January to November 2024, the share of the US in total Greek merchandise exports was around 4.8% or €2.19 billion at current prices. However, the impact of any potential protectionist policies by the US may not be limited to direct effects on Greek exports but may also have indirect repercussions. These could stem from Greece’s trade relations with the European Union (EU), where around 20% of EU-27 exports are purchased by US entities.

According to the latest trade data from Eurostat, Greek exports of goods to the US during this period amounted to €2.19 billion, while imports from the US stood at €1.99 billion. As a result, Greece had a trade surplus with the US of €203.5 million. When breaking it down by category, food and live animals showed the largest surplus at €521.6 million, while fossil fuels, lubricants, and related products recorded the biggest deficit at €399 million.

The share of Greek merchandise exports to the US stood at 4.8% in the period from January to November 2024, slightly above the long-term average of 4.5%. For the entire year of 2024, Greek exports to the US are expected to account for 1% of Greece’s GDP. Among the product categories, the US accounted for 7.7% of Greek food and live animal exports, followed by oils and fats (7.2%), machinery and transport equipment (6.5%), and manufactured goods mainly classified by raw materials (5.1%).

A potential increase in tariffs on products imported by the US from the EU-27 could negatively affect some of these Greek exports, particularly in the food and live animals sector, oils and fats, and machinery. For 2024, Greek exports of goods to the US are projected to reach 1% of GDP or approximately €2.4 billion. The extent of the impact on Greek exports will depend on the magnitude of any tariff increase and the elasticity of demand for Greek goods in the face of such price hikes.

Indirect Effects Of Greece’s Trade Relations With The EU

In addition to the direct impact on Greek exports to the US, protectionist measures from the US could also have indirect effects on the Greek economy. This is due to the interconnected nature of Greece’s trade with the EU-27 and the EU’s trade with the US. In the period from January to November 2024, the EU-27 accounted for approximately 55.3% of Greek merchandise exports, or €25.4 billion. The US, in turn, represented 20.6% of EU-27 exports, totaling €490.1 billion (excluding intra-EU trade).

A potential tariff increase on EU-27 exports to the US could lead to:

  1. A reduction in EU-27 exports of goods to the US.
  2. A decrease in the income of EU-27 businesses.
  3. Lower Greek exports of goods and services to the EU-27.

Furthermore, a portion of Greek exports to the EU-27 consists of intermediate goods used in the production of final products that the EU-27 exports to the US. This adds another layer of potential impact on Greek exports through participation in European value chains.

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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