Emerging from Chulalongkorn University, Bangkok
A coalition of nations building a third path in AI governance — between American market excess and Chinese state control.
We are constructing a coalition of nations by and for the Global South. It strikes a middle way between China's highly regulated — but very effective — approach and America's highly unregulated — but very innovative — approach to AI.
This middle way closes the "AI divide," producing a more equitable global AI ecosystem. It protects the four billion people who currently generate data for the world's most powerful platforms — without receiving fair value in return.
The coalition is grounded in a simple principle: consciousness must direct intelligence, not the reverse. AI systems should be shaped by human awareness, cultural context, and community values — not the other way around.
Go inside to learn more about it, and how you may wish to get involved.
Global South nations need not choose between two imperfect extremes.
Beijing Model
Highly regulated. Effective at deployment and scale. But built on surveillance, social scoring, and state priorities — not the needs of developing nations.
The AI Middle Way
Rooted in Buddhist Middle Way philosophy and systems theory. Designed for the Global South — to retain data value, formalize local economies, and resist data colonialism.
Washington Model
Highly innovative. But minimally regulated, producing extreme wealth concentration and a new form of data colonialism affecting 4.5 billion people.
Explore the framework, the nations, and the strategy.