One million lives improved by 2030.

Of notable AI models originate in high-income countries, home to just 17% of the world’s population.

Of AI leaders feel fully prepared to scale AI agents, exposing a global leadership gap in AI strategy, governance, and organizational readiness.

Of the global workforce is projected to need upskilling or reskilling by 2030 as jobs and skills evolve.

Documented AI incidents in 2025, up from 233 in 2024, as responsible AI evaluations struggle to keep pace with innovation.

Average transparency score of major AI developers, exposing critical disclosure gaps in training data, model development, safety practices, and real-world impact.

Countries were not parties to any of seven major international AI governance initiatives examined by the UN, highlighting fragmented and unequal participation in shaping global AI rules.

Why 2030? Why a global movement?

The window to shape AI’s future is closing. The time to act is now.

2030 is a defining milestone. The decisions we make today will determine whether AI accelerates human progress or deepens inequality, systemic risks, and harms that may be impossible to reverse. Mainstreaming responsible AI by 2030 is not just an ambition—it is a global imperative.

No single government, company, or institution can achieve this alone. We need a global movement that mobilizes leaders, innovators, investors, policymakers, and communities to identify challenges, co-create effective solutions, and scale what works.

2030 is our deadline.

Collective action is our strategy.

Lasting human progress is our goal.

We bring together global leaders and innovators, accelerate solutions through collaboration and entrepreneurship, and turn responsible AI into real-world impact.

Working together on responsible AI.

AI 2030 works with enterprises, cloud and AI providers, financial institutions, professional services firms, universities, governments, investors and international organizations to move responsible AI from principle into practice.

The people driving AI 2030.

A diverse global team of leaders, researchers, technologists and practitioners committed to advancing responsible AI for people, institutions and the planet.