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Dario Amodei Wants a Speed Limit for AI
Plus: Moonshot Wants to Build a $2 Billion AI Business
Jafar Najafov
September 14, 2026 • Read this in 3 minutes
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AI is entering a strange new phase. China’s Z.AI wants $5 billion to compete. Moonshot AI is targeting $2 billion in annual revenue. Meanwhile, Anthropic CEO Dario Amodei wants frontier labs to slow down. One side is raising and monetizing faster. The other is questioning how fast AI should advance. Together, they reveal the tension defining today’s AI race.
In today’s post:
Dario Amodei wants to slow the AI race
Moonshot is chasing $2 billion in AI revenue
China’s AI race just got $5 billion bigger
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RESEARCH
Anthropic’s CEO thinks AI progress is becoming too fast
Image credits: The Atlantic.
Dario Amodei still believes AI could transform human life. But his concern has changed. The problem is no longer whether AI improves quickly. It is whether safety can improve quickly enough. That distinction could reshape the entire AI industry.
Amodei argues AI capabilities are accelerating through recursive self-improvement.
He believes recent agent failures show increasingly serious alignment risks.
Anthropic now wants independent evaluators embedded inside frontier AI labs.
These evaluators would inspect systems, practices, and safety commitments continuously.
Amodei also supports shared safety checkpoints across democratic AI companies.
He believes global coordination should eventually include China where possible.
The goal is not stopping AI, but keeping safety near capability.
The most important idea here is not slowing down. It is making speed conditional. Today, AI companies are rewarded for reaching capabilities first. Amodei wants safety to become part of that competition. That sounds sensible. The harder question is whether competitors will accept the same constraints. Because once one company keeps accelerating, restraint becomes expensive.
STRATEGY
Open-weight AI may be more commercial than it looks
Image credits: Moonshot AI
Moonshot AI has a very aggressive revenue target. The Kimi maker wants a $2 billion annual run rate. That would double its reported August pace. The bigger question is whether open models can monetize. Moonshot thinks the answer is yes.
Kimi’s K3 models still generate huge daily usage volumes.
OpenRouter shows usage reaching roughly 300 billion tokens daily.
Moonshot’s revenue remains far below OpenAI and Anthropic.
Open-weight models also tend to carry much lower margins.
Even so, Moonshot sees enough demand to scale quickly.
That suggests open models can support meaningful commercial businesses.
Its growth is clouded by Anthropic’s distillation allegations.
Open-weight AI was never really about being free. It was about changing where the money gets made. Closed labs monetize access. Open labs may monetize scale, hosting, services, and distribution. Moonshot is testing whether that model can become enormous. If it works, the AI business landscape gets much wider.
PROFITS
Z.AI is raising $5 billion to stay in the AI race
Image credits: Wall Street Journal
Z.AI just made its ambitions much harder to ignore. The Chinese AI company plans to raise over $5 billion. That is a remarkable amount of fresh capital. But the interesting part is where that money goes. AI competition is increasingly becoming a capital competition.
Z.AI plans to raise roughly $2 billion through shares.
Another $3.01 billion would come from convertible bonds.
That gives Z.AI significant capital for future AI investments.
Its models compete with OpenAI, Anthropic, and Chinese rivals.
DeepSeek, Moonshot AI, and MiniMax intensify that domestic competition.
Building competitive AI increasingly requires enormous infrastructure spending.
That could favor companies with sustained access to capital.
The AI race is entering a different phase. Good models still matter. Great researchers still matter. But money increasingly determines who can keep experimenting. That creates an uncomfortable question for every AI company. How long can you afford to stay in the race?
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