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Home » EU Lawmakers Reach Deal To Delay Parts Of AI Act

EU Lawmakers Reach Deal To Delay Parts Of AI Act

Tarun Khanna by Tarun Khanna
May 7, 2026
in Artificial Intelligence
Reading Time: 2 mins read
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EU Lawmakers Reach Deal To Delay Parts Of AI Act

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What does the EU’s provisional AI Act deal imply for AI teams and regulated industries? It approach companies can also get more time to put together for high-risk AI compliance, while latest rules on AI-generated explicit content and watermarking move ahead sooner.

EU nations and European Parliament lawmakers attained a tentative agreement on Thursday to soften parts of the landmark AI Act, together with a delay for some high-risk AI requirements until December 2, 2027.

The deal still requires formal approval from EU governments and the European Parliament. Moreover, it shows a clear shift in Europe’s AI regulatory posture. The original AI Act entered into force on August 1, 2024, with duties rolling out in phases across prohibited practices, general-purpose AI, and high-risk systems.

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Why The EU Is Changing Its AI Rules

The changes come because the European Commission pushes to simplify digital regulation. Businesses have claimed that overlapping compliance requirements make it harder to compete with U.S. And Asian rivals. The Council of the EU stated the agreement pursuits to streamline rules and reduce administrative costs even as maintaining the AI Act’s broader risk-based framework.

Cyprus, which presently holds the rotating EU Council presidency, framed the settlement as a business-support measure. Cyprus Deputy Minister for European Affairs Marilena Raouna stated the deal might reduce recurring administrative prices for companies.

For AI developers, deployers, and compliance teams, the delay off matters. High-risk AI systems often needs more potent documentation, monitoring, risk management, human oversight, and data governance practices. These systems can include AI used in biometrics, crucial infrastructure, law enforcement, and other sensitive domains.

High-Risk AI Deadline Moves To 2027

Under the provisional agreement, guidelines for certain high-risk AI systems would move from August 2, 2026, to December 2, 2027. Earlier AI Act timelines positioned high-risk duties on a phased time table, with some provisions turning into applicable in 2026 and product-related high-risk systems receiving a longer transition period.

The deal also excludes machinery from the AI Act, wherein those systems already fall under sector-specific rules. That change responds to industry worries that some products should face duplicate obligations beneath both AI-specific and present product safety regimes.

EU Adds Ban On AI-Generated Explicit Images

While a few compliance guidelines will sluggish down, lawmakers agreed to move ahead with restrictions on unauthorized AI-generated sexually explicit images. The measures follows difficulty over tools that create intimate deepfakes or “nudifier” content material without consent. Reuters connected the response to the controversy surrounding explicit content generated through xAI’s Grok chatbot on X.

Dutch lawmaker Kim van Sparrentak stated the ban could assist protect women, girls, children, and others from abuse including non-consensual image generation. The ban is expected to use from December 2.

Mandatory watermarking of AI-generated output will also apply from December 2 under the provisional agreement. That needs could affect generative AI vendors, content platforms, and enterprise teams building artificial media workflows.

What AI Teams Should Watch Next

The agreement indicates that Europe nevertheless wants strict AI oversight, but with a more flexible implementation path. For businesses, the practical message is mixed. Teams may receive extra time for high-risk AI compliance, however they’ll face faster obligations around synthetic content transparency and dangerous AI-generated media.

Data leaders should use the delay to reinforce model inventories, file risk categories, overview training data practices, and build governance workflows that can survive regulatory review.

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Tarun Khanna

Tarun Khanna

Founder DeepTech Bytes - Data Scientist | Author | IT Consultant
Tarun Khanna is a versatile and accomplished Data Scientist, with expertise in IT Consultancy as well as Specialization in Software Development and Digital Marketing Solutions.

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