For Manufacturers, the AI Act's Real News Isn't the Delay
On 29 June 2026 the Council of the EU gave final approval to the Digital Omnibus on AI, the first substantial amendment to the EU AI Act since it took effect in 2024. The European Parliament had passed the same text on 16 June. Publication in the Official Journal is imminent, and the changes take legal effect a few days after that.
The headline everywhere is “the EU delayed the AI Act.” That is true, and for manufacturers it is also the least useful part of the story.
What moved
The Act’s heaviest obligations, the ones for high-risk AI systems, were pushed back and given fixed dates instead of the earlier conditional trigger. Standalone high-risk systems under Annex III (things like recruitment, credit scoring, and biometric tools) now apply from 2 December 2027 rather than 2 August 2026. High-risk AI built into regulated products under Annex I (medical devices, machinery, lifts, radio equipment) moves to 2 August 2028. That is a year to sixteen months of extra runway on the most documentation-heavy requirements.
What didn’t
Two things did not move, and both are closer than 2027.
Transparency obligations under Article 50 still apply from 2 August 2026 – five weeks out. If you use AI that interacts with customers, or that generates text, images, or audio, you have to disclose it. Marking of AI-generated content gets a short grace period to 2 December 2026 for systems already on the market, but the underlying duty is not deferred. And AI literacy, the requirement that staff working with AI systems understand what they are operating, has applied since February 2025. If that is news to you, it is overdue news.
The part worth your attention
Here is what got lost under the word “delay.” The Omnibus quietly narrowed what counts as high-risk in a factory, and that helps most manufacturers more than the extra time does.
The definition of a “safety component” was tightened. AI used only for user assistance, performance optimization, efficiency, or quality control does not count as high-risk unless a failure could endanger health or safety. A lot of typical shop-floor AI – predictive maintenance flags, quality-inspection vision, process optimization, scheduling – now sits clearly outside the high-risk regime it was previously at risk of falling into.
Machinery got its own carve-out. AI embedded in machinery is being pulled out of the AI Act’s direct scope; the health-and-safety requirements for it will come through the Machinery Regulation instead, on the 2028 timeline. For machine builders, that removes a duplicate compliance track.
And the lighter compliance path – simplified documentation, proportionate penalties, less prescriptive quality-management rules – was extended from small enterprises to small mid-cap companies. More mid-size manufacturers now qualify for it.
Read together, that is the real signal for a mid-size manufacturer: less of your AI is high-risk than the 2024 text implied, and the burden on what remains is lighter and clearer than it was six months ago.
The one task due regardless
None of this changes the first thing you have to do, and no deadline makes it easier: build an inventory of every AI system you use or supply, and classify each one. Which are high-risk, which are not, which trigger a transparency duty in August, which are just tools. That work does not depend on final standards, and it does not get faster by waiting for December 2027. Start it now with eighteen months to refine, or start it in late 2027 with weeks.
The delay is real, and for the heavy obligations it is welcome. But if you run production in the EU, the practical takeaways are smaller and nearer: disclose your customer-facing AI by August, make sure your people are literate in the systems they operate, and use the clarified rules to stop treating routine factory AI as a legal hazard.
This is orientation, not legal advice – your exact classifications depend on your systems and are worth confirming with counsel. The direction, though, is clear enough to act on now.
“Content generated using AI”