Connect with us

Hi, what are you looking for?

AI Regulation

EU Parliament Committee Delays AI Act, Sets Fixed Deadlines for 2027 and 2028 Compliance

European Parliament committees adopt AI Act amendments, setting compliance deadlines of December 2027 and August 2028, offering companies critical regulatory clarity.

The European Parliament’s Committee on the Internal Market and Consumer Protection and the Committee on Civil Liberties, Justice and Home Affairs have taken a significant step towards shaping the EU’s regulatory landscape for artificial intelligence. On March 18, 2026, the committees adopted a joint report proposing substantial amendments to the EU AI Act as part of the Digital Omnibus on AI legislative package. This report, filed under reference A10-0073/2026, received overwhelming support with 101 votes in favor, 9 against, and 8 abstentions.

This development signals a pivotal shift in how Europe will implement its groundbreaking AI legislation, aiming to replace the previous mechanism that linked compliance deadlines to discretionary decisions by the European Commission. Instead, the new proposal establishes fixed deadlines that provide legal certainty for companies preparing AI systems for the European market.

The underlying Commission proposal, COM(2025)0836, was submitted to Parliament on November 19, 2025, with the goal of harmonizing rules and simplifying the implementation of the AI Act alongside other regulations, such as those governing aviation safety. Initially, the Commission’s proposal linked the application date for high-risk AI systems to the readiness of compliance support measures, which would trigger a countdown only after a formal Commission decision. This structure faced criticism for creating uncertainty, prompting rapporteurs Arba Kokalari and Michael McNamara to advocate for fixed deadlines.

The proposed deadlines are significant: for high-risk AI systems classified under Article 6(2) and Annex III, which includes applications like employment screening and biometric identification, compliance is set for December 2, 2027. For systems categorized under Article 6(1) and Annex I, which covers products under existing EU safety legislation, the deadline is pushed to August 2, 2028. This represents a shift from the previously anticipated deadlines of August 2026 and August 2027.

The new timeline is particularly relevant for marketing technology firms that frequently utilize AI in audience segmentation, automated bidding, and content personalization. With the Digital Omnibus providing clarity around compliance dates, companies now have a more predictable timeframe to prepare for the necessary regulatory measures. The committees assert that the previous approach left businesses in limbo, lacking the “legal certainty and predictability” essential for planning and investment.

Further adjustments in the report refine the supervisory jurisdiction of the AI Office, excluding certain AI systems related to products governed by Union harmonization legislation. This change reflects an understanding that sector-specific regulators should oversee those applications, allowing the AI Office to focus on general-purpose AI models. Additionally, the report proposes targeted relief for small and medium-sized enterprises (SMEs) by introducing a new category known as small mid-cap enterprises (SMCs), which are recognized for their growth potential but still face compliance burdens similar to those of SMEs.

Another noteworthy amendment involves the obligation for AI system providers to support AI literacy among their staff. The revised language shifts from a strict obligation to a more supportive role, allowing the European Commission to promote AI literacy without imposing stringent requirements on all providers. This distinction has practical implications for organizations employing AI tools in marketing, where the development of AI literacy among staff is increasingly recognized as essential, though the new framework avoids punitive measures.

Moreover, the report addresses the complexities surrounding the processing of special categories of personal data for bias detection in AI systems. The amended text retains the Commission’s proposal to allow high-risk AI providers to process sensitive data under specific circumstances, thereby facilitating bias auditing efforts. This provision is crucial for marketing technology providers, as it enables the use of sensitive data signals for compliance with both the AI Act and GDPR requirements.

In terms of transparency obligations, the report tightens compliance deadlines for generative AI systems. Providers of such systems will now need to fulfill marking obligations by November 2, 2026, a shift from the original proposed deadline of February 2, 2027. This change underscores the urgency for companies engaged in AI-generated content, as they will need to establish detection protocols and disclosure mechanisms well in advance of this earlier deadline.

Looking ahead, the report is scheduled for plenary discussion and approval in the European Parliament on March 26, 2026. Following this, negotiations with the Council of the EU will commence, a process that will shape the final text of the regulation. Given the strong majority in the committee vote, the Parliament appears to be entering this negotiation with a unified stance. However, concerns raised by member states, particularly regarding privacy implications and automated decision-making protections, could influence the outcomes.

For the marketing technology sector, the implications of these regulatory developments are clear. With a more defined timeline for compliance and clearer expectations, companies have the opportunity to align their practices with forthcoming regulations, ensuring readiness as the landscape shifts towards a more structured regulatory environment.

See also
Staff
Written By

The AiPressa Staff team brings you comprehensive coverage of the artificial intelligence industry, including breaking news, research developments, business trends, and policy updates. Our mission is to keep you informed about the rapidly evolving world of AI technology.

You May Also Like

AI Regulation

MEPs voted 101-9 to delay AI regulation deadlines, pushing high-risk system compliance to December 2027 and enhancing safeguards for SMEs.

AI Regulation

A new study argues that prioritizing human vulnerabilities over mere trustworthiness is essential for ethical AI governance, urging a shift in accountability frameworks.

AI Generative

European Parliament passes copyright report on generative AI with 460 votes, pushing for fair compensation and transparency for creators in the digital landscape.

AI Regulation

Vietnam enacts Southeast Asia's first comprehensive AI Law, regulating generative AI and mandating human oversight for high-risk systems by March 2026.

AI Regulation

EU introduces AI Omnibus to reduce compliance burdens by 25% for businesses, easing regulations ahead of the AI Act's full implementation in 2026.

AI Generative

EU launches a formal investigation into Elon Musk's X platform over Grok AI generating 3 million explicit deepfake images, risking a €120 million penalty.

Top Stories

EU competition regulators warn Meta that it may face interim measures to ensure rival AI services access WhatsApp amid ongoing antitrust investigation.

AI Regulation

European Commission charges Meta with antitrust violations for blocking third-party AI on WhatsApp, potentially undermining competition in the burgeoning AI assistant market.

© 2025 AIPressa · Part of Buzzora Media · All rights reserved. This website provides general news and educational content for informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the information presented. The content should not be considered professional advice of any kind. Readers are encouraged to verify facts and consult appropriate experts when needed. We are not responsible for any loss or inconvenience resulting from the use of information on this site. Some images used on this website are generated with artificial intelligence and are illustrative in nature. They may not accurately represent the products, people, or events described in the articles.