Why Are Chinese AI Models So Cheap? The Real Economics
Chinese AI models list output tokens up to 57x below US flagships. The verified economics of efficient training, cheap power and open weights as strategy.
Where adoption meets money
Productivity, publishing and national strategy reveal where AI is creating value—and moving it.
Topic archive · page 2
AI adoption, productivity, publishing, national strategy, funding and the markets being reshaped.
Chinese AI models list output tokens up to 57x below US flagships. The verified economics of efficient training, cheap power and open weights as strategy.
The Trump administration asked OpenAI to stagger GPT-5.6 and approve users one by one. A federal gate now sits between a finished AI model and the public.
AI usage tracks national income, but the standouts break the rule. The economics of why Israel and Singapore use AI far more than their wealth predicts.
Prediction markets favor France while the Opta model favors Spain. We test which forecasts the 2026 World Cup better and how accurate each really is.
Seven Chinese firms now ship AI accelerators, the best near NVIDIA H100 class. A fact-checked 2026 map of who makes China's GPUs and what is real.
SpaceX is buying Cursor for $60B. What changes for your bill, whether your code now trains xAI models, and the real cost per task of switching away.
Lin Junyang, Fei-Fei Li, and Yann LeCun are raising billions for world models in 2026. What a world model is, who is funding it, and why the money is moving.