Any organization that develops, deploys, or uses AI systems — and increasingly, individuals affected by AI-driven decisions in hiring, lending, insurance, or content moderation. If AI influences decisions about people, the regulatory stakes are higher for everyone involved. Even small businesses using off-the-shelf tools like ChatGPT or Copilot can face liability under emerging regulations.

Yes, if your AI system affects people in the EU or if the output of your AI system is used in the EU. This is similar to how GDPR applies to U.S. companies that handle EU residents' data. Many U.S. companies are subject to the EU AI Act without realizing it.

It varies by regulation. The EU AI Act can impose fines up to €35 million or 7% of global annual revenue. U.S. state laws vary — some carry civil penalties, others create private rights of action. The reputational and operational costs of enforcement actions often exceed the fines themselves.

Start with an inventory: what AI systems does your organization use, what data do they process, and what decisions do they influence? Then map those against the regulations that apply to your industry and geography. Our free Risk Assessment tool above gives you a quick starting point.

Not yet. AI regulation is fragmented across jurisdictions and sectors. The NIST AI Risk Management Framework is the closest thing to a universal baseline, but it's voluntary. Most organizations need to comply with multiple overlapping frameworks — which is why having a single resource that tracks all of them matters.

Extremely fast. New AI laws, amendments, and enforcement actions are appearing monthly. In 2025–2026 alone, dozens of U.S. states introduced AI-related legislation, the EU AI Act entered enforcement phases, Japan and South Korea passed comprehensive AI laws, and the federal policy landscape shifted significantly with a new administration. Staying current is a real challenge — and a core reason this resource exists.