AI regulations & risk landscape
A unified view of global AI legislation, risk domains, and industry use-case mapping — updated continuously from open sources.
Regulatory timeline
Key upcoming deadlines and milestones across jurisdictions.
Number of binding AI laws and regulations per country, including supranational texts (EU). Click a country to view applicable laws.
Source: Fruggr AI Law Database, 2026
AI adoption and its impacts
The OECD adoption index measures countries' AI deployment maturity (investment, research, public policies). A high score means greater exposure to AI risks — and therefore a greater need for governance.
Regulation vs. adoption gap
Countries with high adoption (USA, China) don't always have the most advanced regulations, creating a risk-governance gap that organizations must anticipate.
Accelerating deployment
Generative AI adoption has exceeded forecasts: 67% of organizations plan to increase AI investments in 2026, amplifying risks without an adequate framework.
Impact on competitiveness
High-adoption jurisdictions attract innovation but also export risks. Companies operating in these markets must comply with multiple, evolving standards.