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EU AI Act omnibus delays high-risk rules to 2027 and 2028

The Digital Omnibus on AI, Regulation 1744/2026, applicable from 27 July 2026, postpones AI Act high-risk obligations to 2 December 2027 for Annex III systems and 2 August 2028 for products, and bans AI built to create sexual abuse material.

AI & modelsExplainerRachel NwosuPublished: 6 November 20264 min readSources 40
EU AI Act omnibus delays high-risk rules to 2027 and 2028

What the omnibus changes

The Digital Omnibus on AI was published in the Official Journal and applies from 27 July 2026. It amends the AI Act, Regulation (EU) 2024/1689 of 13 June 2024, which entered into force on 1 August 2024. Mayer Brown said the changes aim to simplify implementation and reduce overlap with existing regulation.

Obligations for high-risk use case AI systems listed in Annex III now apply from 2 December 2027. Those uses include biometrics, critical infrastructure, education, employment, law enforcement and border management. High-risk systems used as safety components in products covered by EU sectoral legislation apply from 2 August 2028. The delay is meant to give the EU standardisation committee time to publish AI Act standards, which set out how providers can comply and create a presumption of conformity when published in the Official Journal, the Data Protection Report said.

The Omnibus also moves the EU Machinery Regulation, 2023/1230, into Annex I Section B, so AI requirements for AI-enabled machinery are handled through that regulation rather than the AI Act directly. The Commission must adopt delegated acts integrating those obligations by 2 August 2028, Mayer Brown said.

For high-risk systems already in service before the new dates, the Act applies to operators only if those systems undergo significant changes in design from that date. For operators that are public authorities, it is unclear whether the dates of application will be delayed, Mayer Brown said.

New ban on nudifier apps

The Omnibus adds a prohibition on AI systems that create child sexual abuse material, or that depict an identifiable person's intimate parts or sexual activity without consent. It covers placing such systems on the EU market, placing them on the market without reasonable safety measures, and deployers using them to create that content. Providers have until 2 December 2026 to comply, Mayer Brown said.

Transparency rules keep their date

The Omnibus did not delay other transparency requirements. Article 50 duties, such as telling individuals they are interacting with AI and disclosing deepfakes, apply from 2 August 2026 for AI systems placed on the market after that date. For providers generating synthetic audio, image, video or text, the machine-readable marking obligation has a limited grace period to 2 December 2026 for systems placed on the market before 2 August 2026, for that obligation only.

The Commission published final guidelines on Article 50 transparency on 20 July 2026, and a first list of more than 180 organisations that signed the Code of Practice on transparency of AI-generated content.

Enforcement starts

The AI Office's enforcement powers apply from 2 August 2026, the Commission's enforcement page says. They cover providers of general-purpose AI models, AI systems developed by the same provider or a provider in the same business group, and AI systems integrated into very large online platforms or search engines designated under the Digital Services Act. National authorities enforce the rules for other AI systems. Breaches involving prohibited practices can reach the higher of €35 million or 7% of worldwide annual turnover. Other breaches, including general-purpose AI obligations, can reach €15 million or 3%. Mishandling an information request can be fined at up to €7.5 million or 1% for AI systems.

What happens next

The new ban is the nearest deadline: providers and deployers of the covered systems have until 2 December 2026 to comply, after which it joins the Act's existing prohibitions, applicable since 2 February 2025. Enforcement of those prohibitions rests with national market surveillance authorities, and some member states were still passing implementing legislation after the 2 August 2025 designation deadline, the Data Protection Report said.

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Sources

40
  1. 01EU AI Act News: Digital Omnibus on AI, New Guidance on Risk Classification, GPAI, and Transparency Obligations - Mayer BrownEN
  2. 02The EU AI Act – when does it become enforceable now? - Data Protection ReportEN
  3. 03The enforcement framework of the AI Act - European CommissionEN
  4. 04EU starts to enforce AI Act rules and transparency requirementsEN
  5. 05EU AI Act Timeline: 5 Dates to 2028 [2026]EN
  6. 06EU AI Act Enforcement Phase BeginsEN
  7. 07EU begins enforcing AI Act transparency rules - CineuropaEN
  8. 08How the EU AI Office Can See the Choices Behind Frontier Labs’ Safety Claims - Tech Policy PressEN
  9. 09Europe Delayed Its Toughest AI Rules. The Bigger Question Is Who Gets to Shape Them - Akron Beacon JournalEN
  10. 10EU AI Act Explained – What Is Banned and What Comes Next?EN
  11. 11EU Announces First AI Act Enforcement Actions After AI Agent IncidentsEN
  12. 12European Commission Publishes Guidelines on Obligations for General-purpose AI Models Under the EU AI ActEN
  13. 13Anthropic, OpenAI among firms facing new scrutiny under EU AI Act enforcement powersEN
  14. 14How the EU AI Act Regulates Agentic AIEN
  15. 15Stochastic Dynamics of Generative AI: From Autoregressive Models to Interacting LLM Networks and Neural SDEsEN
  16. 16Underdog shows off a 32MB speech model in new demoEN
  17. 17A Generative Foundation Model for Multimodal Tokamak TasksEN
  18. 18Ripple-65B Preview delivers strong agentic coding results as a fully Apache 2.0 open US modelEN
  19. 19Free Chinese AI Models Are Getting Scary Good at HackingEN
  20. 20Thinking Machines' Inkling 2 Small claims top spot among western open-weight modelsEN
  21. 21XPENG Researchers and Academic Partners Introduce GroundingPI, An Open-Source Visual Perception Model For Physical AIEN
  22. 22OpenAI released a new cybersecurity model. Is that enough?EN
  23. 23Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation modelEN
  24. 24Spectrum overhauls operating model in bid to reignite growthEN
  25. 25Thinking Machines’ new model takes the lead in western open-weight AIEN
  26. 26Kihan Launches Constitutional Computing to Bring Enforceable Authority to Enterprise AI AgentsEN
  27. 27Embedding-Space Fingerprinting of LoRA Fine-Tunes: Recovering the Training-Data Domain from the Model Artifact AloneEN
  28. 28GuidedWAM: Training-Free Energy Guidance for World Action Models in Autonomous DrivingEN
  29. 29A Night at the LLM Zoo: Data Conditioned Flow Matching for Generating Pretrained LLM WeightsEN
  30. 30China touts AI milestone: models generate more tokens than used in trainingEN
  31. 31Fitting AI Models To Edge ApplicationsEN
  32. 32Baidu unveils Apollo World model to let AI teach AI to driveEN
  33. 33“War” Secretary Pete Hegseth Endorses 15 Minute City ModelEN
  34. 34How big is the open model economy today?EN
  35. 35LiberAI Unveils Liber-0, a World Action Model That Grounds Human Experience in Robot ActionEN
  36. 36BYD teases new model for Guangzhou Auto Show, with next-gen Han expectedEN
  37. 37The Two-Ledger Model: Transaction-Grain Cost Accounting for Multi-Agent AI Systems Across Clouds, Models, and Systems of RecordEN
  38. 38Synthesizing symbolic models of human and machine reasoning at scaleEN
  39. 39SAVeR$^2$: Reasoning-based Safety Alignment for Large Reasoning Models via Verifiable RewardsEN
  40. 40Pediatric ECG foundation model via adult-to-pediatric fine-tuning: downstream tasks and clinical evaluationEN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Rachel Nwosu

Rachel Nwosu

AI, models and technology

Rachel Nwosu covers AI, models and technology for FLASH24, working from public model documentation, benchmark releases and repository histories rather than press summaries, and she skips announcements that arrive without reproducible numbers. She checks training-data claims against dataset cards and reruns reported metrics where code is available. She spends much of her week interviewing researchers and engineers, tracking model launch calendars, and comparing vendor benchmarks with independent evaluations. Outside the desk she runs 3D printers, restores old computers, and tests how models learn from internet junk. She does not publish benchmark figures she cannot trace to a source.

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