20+ AI Regulation Statistics (2025)

of people globally believe national and international AI regulation is needed

A strong public mandate for AI governance across all 47 countries surveyed. 66% also admit relying on AI output without evaluating accuracy.

of US adults say AI in daily life makes them more concerned than excited — fuelling regulatory pressure

Rising public concern (up from 37% in 2021) creates political momentum for AI regulation in the US and globally.

of people globally believe AI will deliver benefits — regulation is about managing risks, not blocking progress

High benefit expectations coexist with regulatory demand — the public wants AI to succeed safely, not be forbidden.

of people globally willing to trust AI systems — a trust deficit that regulation aims to close

Less than half the world trusts AI. Regulation is seen as the mechanism to bridge the gap between AI capability and public confidence.

median trust in the EU to regulate AI effectively — the most trusted regulatory body globally

Across 25 countries surveyed, the EU is the most trusted AI regulator, bolstered by the comprehensive EU AI Act.

median trust in the US to regulate AI effectively — below the EU but ahead of China

US regulatory credibility lags the EU — partly due to the lack of a comprehensive federal AI law.

median trust in China to regulate AI effectively — the lowest among major AI powers

Despite being a top-3 AI nation, China commands the lowest global trust as a regulator of AI technology.

of Americans trust the US to regulate AI — with a partisan split (54% Republicans, 36% Democrats)

An 18-point partisan gap on AI regulatory trust reflects broader political divisions over technology governance in the US.

organisations have mature AI governance — leaving 80% exposed to compliance and regulatory risk

With regulation accelerating globally, 80% of organisations are underprepared for compliance requirements.

of enterprises rate their AI strategy as highly prepared — but 58% are not ready for regulatory demands

Less than half of enterprises feel their strategy, governance, and processes can withstand regulatory scrutiny.

of organisations with AI functions have centralised risk and compliance — the most centralised AI activity

Risk and compliance leads all AI governance functions in centralisation, reflecting its regulatory importance.

of enterprises are truly reimagining their business with AI — requiring regulatory frameworks that enable innovation

The most advanced AI adopters need regulation that protects without stifling — a balancing act regulators are still learning.

of AI experts believe AI will positively impact the US over 20 years — vs. just 17% of the public

A 39-point gap between expert optimism and public scepticism creates a regulatory challenge: whose view should policy reflect?

of Americans say AI will positively impact education — and just 23% say the same for jobs

Public scepticism about AI's impact on education and employment drives demand for regulation in these high-stakes sectors.

of Americans say AI will positively impact medical care — the most-supported sector for AI deployment

Healthcare is where AI regulation meets the most public support — only 19% expect a negative medical impact.

as many AI leaders report transformative business impact — making regulation both more urgent and more complex

As AI becomes transformative rather than experimental, regulation must evolve from theoretical frameworks to practical enforcement.

of organisations plan to deploy AI agents within 1–3 years — creating new regulatory challenges

Autonomous AI agents that make decisions without human oversight will test existing regulatory frameworks to their limits.

of enterprises already using agentic AI at least moderately — ahead of most regulatory guidance

Agentic AI deployment is outpacing regulatory guidance — creating a governance gap that will need to be closed.

of organisations using physical AI — growing from 58% today to 80% in 2 years — requiring safety regulation

Physical AI — robots, drones, autonomous vehicles — poses safety risks that demand hardware-level regulation beyond software governance.

in global private AI investment in 2024 — 40%+ growth that regulation must keep pace with

AI investment jumped 40.38% in 2024, with AI startups capturing 51% of all venture funding in 2025 — faster than regulators can adapt.