The primary challenge of AI governance isn't meeting a specific regulatory date, but the complex operational work of identifying, classifying, and establishing ownership for every AI system across the enterprise, including those embedded in vendor tools.
Contrary to the belief that the EU AI Act primarily affects medical devices, a company's earliest and most significant high-risk exposure often comes from internal enterprise AI, particularly in HR functions like recruitment, performance monitoring, and termination.
The deadline extension for the EU AI Act creates a critical split. Proactive firms will use the time to build mature, operational governance systems. Reactive firms will wait, attempting to rush documentation-only compliance that will likely fail under real-world scrutiny like audits or incidents.
The EU AI Act's scope is extraterritorial and applies to any company, including US-based ones, if the output of their AI system is used within the EU. This jurisdiction follows the output, not the company's location, making its reach even broader than GDPR.