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Europe Imposes $28 Billion Tariffs On U.S. Goods Amid Trade Tensions

Recently, Europe has announced a fresh wave of tariffs targeting American imports, valued at a whopping $28 billion. This move comes as a counteraction to the U.S.’s aggressive trade policies, particularly under the policies set by Donald Trump, which saw a 25% tariff on aluminum and steel.

Key Points To Note

  • The tariffs will roll out in two stages: initial tariffs start on April 1st, with the second phase following on April 13th, according to the European Commission.
  • EU remains open to negotiations with the U.S. in spite of the ongoing tariffs introduction.
  • Consultations with EU stakeholders are ongoing to ensure that the introduction of tariffs disrupts business and consumer activities minimally, to conclude by March 26th.
  • Tariffs will hit sectors like steel, aluminum, textiles, leather goods, household appliances, plastics, and timber.
  • Agricultural products such as poultry, beef, seafood, nuts, eggs, sugar, and vegetables will also see new tariffs.

Economic Context And Figures

In 2024, the European Union exported goods worth €531.6 billion to the United States. Meanwhile, imports totaled €333.4 billion, as per Eurostat data. The year saw a 5.5% increase in exports and a 4.0% decrease in imports, compared to 2023.

What’s Next?

April 1st will also mark the date when the U.S. may announce reciprocal tariffs. Trump has threatened 25% tariffs on EU imports affecting industries like automotive, pharmaceuticals, and technology, potentially causing significant revenue declines in Europe, particularly concerning sectors such as healthcare, industry, and consumer goods.

For further context on international investment strategies, explore our feature on UAE’s ambitious plans.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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