Chinese AI Just Killed the Silicon Valley Monopoly Playbook — And That's Good for Your EA Career

Last reviewed: July 24, 2026. Chinese open-source market share data from a16z/OpenRouter token studies. Chinese AI lab analysis from industry tracking and model capability assessments.

The tech industry has one playbook. It has used it for thirty years.

Step one: raise enormous amounts of money. Step two: subsidize your product below cost to gain market share. Step three: wait for competitors to die because they can't match your burn rate. Step four: once you're the only one left, jack up prices and print money.

Google did it with search. Amazon did it with ecommerce. Meta did it with social media. Every venture capitalist in Silicon Valley has this playbook tattooed on the inside of their eyelids.

OpenAI and Anthropic tried to run the same play on artificial intelligence. They raised billions. They burned billions. They gave away access below cost. The plan was simple: outspend everyone, achieve monopoly, then charge whatever they wanted for access to intelligence.

The plan is dead.

What Chinese open-source did

A few years ago, the assumption was that frontier AI required frontier hardware. American companies had NVIDIA's best chips. Chinese companies did not. Export controls made sure of that. The gap was supposed to be unbridgeable.

Chinese AI labs bridged it anyway.

With a fraction of the compute resources, DeepSeek, Alibaba's Qwen, and Moonshot's Kimi built models that match or exceed the best American frontier models. And they released them as open-source. Free. Anyone can download them. Anyone can run them on their own hardware.

The numbers are staggering. According to OpenRouter, which tracks actual AI usage across American firms, Chinese open-source models now account for the majority of all tokens used. Not a niche. Not a rounding error. The majority.

A model like Qwen 3.5, running on a good laptop, is roughly comparable to Claude Sonnet 4 on most tasks. Kimi 3 is comparable to a slightly constrained Claude 5 Fable. These are not toy models. They are production-grade AI that costs nothing to use.

Why the monopoly playbook is dead

The playbook only works if you can kill your competitors. You kill competitors by outspending them. You outspend them by having more capital.

You cannot kill an open-source model. It does not have a burn rate. It does not have investors who need an exit. It is a file on the internet. Anyone can use it. Anyone can improve it. There is nothing to kill.

And because these models are open-source, they can be quantized and distilled. You can take a massive frontier model and compress it down to something that runs on a home desktop. You do not need to pay OpenAI twenty dollars a month. You do not need to pay Anthropic for API access. You download the model, you run it locally, and you pay nothing.

This fundamentally breaks the revenue model for closed-source AI. Software was supposed to scale to infinity with near-zero marginal cost. AI does the opposite. Every query costs real compute. Every interaction burns real electricity. And now the open-source alternative is free.

What this means for the EA credential

Here's where it gets interesting for tax professionals.

If the AI monopoly playbook were working, the end state would be a small number of companies controlling access to intelligence. They would charge whatever they wanted. Every business that needed AI would pay. Every worker whose job could be automated would be replaced. The value would flow to the model owners.

But the monopoly playbook is dead. The value does not flow to the model owners. It flows to the people who can do things the models cannot.

Models cannot sign tax returns. Models cannot represent clients before the IRS. Models cannot hold a professional credential that carries legal liability. These are not temporary limitations. They are structural features of the regulatory environment.

When the AI gold rush ends, and it will end, the people holding federal licenses are going to be in a much better position than the people holding NVIDIA stock.

The scarce resource is not going to be access to intelligence. The scarce resource is going to be the right to use that intelligence in contexts where getting it wrong has legal consequences. The EA credential is exactly that right.

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