Tech
Merz and Meloni Double Down on Legislative Self-Restraint in Updated Italo-German Plan
Merz and Meloni’s updated Italo-German Plan of Action doubles down on legislative self-restraint, simplification, and better regulation. The real test now is the Omnibus push and the Better Regulation reform.
Last week, German Chancellor Friedrich Merz met Italian Prime Minister Giorgia Meloni in Rome, where the two leaders signed an updated Italian-German Plan of Action aimed at strategic bilateral and European Union cooperation. The agreement spans multiple areas of both Italy-Germany collaboration and EU-wide initiatives, aligning closely with the European Commission’s strategic plans through 2029.
The plan emphasizes a continued push for “legislative self-restraint,” the simplification of existing rules, a shift in regulatory mindset, and reforms in public administration. While such goals are not new among EU leadership, the document underscores that achieving them requires not only a change in approach but also careful evaluation of both current legislation and new proposals.
Italy and Germany call for an “unbureaucratic, business- and SME-friendly implementation of EU initiatives,” advocating a “consequent simplification agenda.” The plan also stresses that proposals creating excessive administrative burdens should either be withdrawn or never tabled. Experts say these measures could significantly reduce the complexity of EU legislation if followed through, but note that successful implementation will depend on coordinated action at the Council of the EU and influence over the Commission’s agenda.
The two governments have committed to sharing positions on Omnibus proposals and jointly pursuing “meaningful simplification” and “tangible burden reduction” for startups, SMEs, and industry at large. This effort could encourage smaller EU member states to take similar stances. However, some left-leaning politicians and organisations have expressed skepticism about the Omnibus proposals, raising the possibility of resistance or delays in adoption.
The upcoming Better Regulation reform will serve as the first real test of the updated plan. The European Commission is currently running a Call for Evidence on the reform until February 4th, though only 23 responses have been submitted so far. Supporters argue that EU decision-making processes are too slow and resource-intensive, and reforms could allow for faster, more efficient legislative action.
Critics caution that if the guidelines are relaxed excessively, the consultation and evaluation processes could be weakened, allowing the Commission to select which stakeholders provide input and limiting member states’ ability to fully assess the necessity and impact of proposed legislation. This could reduce Italy and Germany’s influence in shaping EU laws during trilogue negotiations, undermining the very goal of smarter, more restrained legislative action.
The updated Italo-German Plan of Action represents a high-profile effort to streamline EU regulation and support business competitiveness. Its success will depend on both the political will to adhere to self-restraint principles and the practical implementation of simplification and regulatory reforms across the EU.
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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