Tech
US Warns European Tech Firms of Potential Fees Over “Discriminatory” Rules
US trade officials warned on X that European service providers could face fees and restrictions if the EU keeps “discriminatory” tech rules. The United States Trade Representative’s office posted last week a list of European companies that could be targeted if the European Union continues with measures seen as limiting the competitiveness of US service providers.
The statement said the US would consider introducing fees and other restrictions on foreign services if the European Union and its member states “insist on continuing to restrict, limit, and deter the competitiveness of US service providers through discriminatory means.”
The warning comes as tensions grow over Europe’s regulatory framework, which includes the Digital Markets Act (DMA), Digital Services Act (DSA), and AI Act, with further initiatives like the Digital Fairness Act expected to reshape digital trade. US officials argue these rules make it harder for American companies to compete in Europe, despite the US holding a services trade surplus with the EU of over €148 billion, including telecommunications, software, and professional services.
However, American messaging has struggled to resonate in Europe. Analysts say strong rhetoric and framing European regulations as a geopolitical threat can radicalise moderates, empower anti-American voices, and undermine transatlantic cooperation. Recent posts by tech executives, including Elon Musk, have amplified these concerns, sometimes drawing attention from unexpected quarters, such as Russian officials, which complicates the message further.
Some European firms, including Accenture, Amadeus, SAP, Siemens, DHL, Capgemini, Mistral AI, Publicis, and Spotify, were listed by the US as potential targets for retaliatory measures. The reasoning behind selecting these companies remains unclear, with some deeply partnered with US tech firms and others previously aligned with US positions on regulation.
Experts note that overregulation affects European companies as well. High compliance costs under frameworks like the General Data Protection Regulation (GDPR) make data management 20 per cent more expensive for European founders compared with American competitors, according to former Italian Prime Minister Mario Draghi. EU rules targeting very large online platforms could also constrain the growth of European unicorns, placing them under the same scrutiny as US firms. Initiatives such as the Digital Omnibus aim to simplify regulations and support competitiveness, signaling some progress in addressing these challenges.
The US-EU trade agreement signed in August 2025 was expected to encourage more dialogue on these issues. Article 8 focuses on reducing non-tariff barriers, while Article 17 aims to address unjustified digital trade restrictions. Analysts warn that action must be taken before regulations like the DMA, DSA, and AI Act are fully implemented, as reversing them afterward is nearly impossible.
While the US warning reflects concerns about fair competition, many observers say constructive dialogue, rather than broad threats, is essential to ensure balanced regulation that supports both American and European tech growth.
Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
Tech
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Tech
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