January 27, 2025 - 2:00pm

Last week, the Chinese AI company DeepSeek released its new DeepSeek-R1 and DeepSeek-R1-Zero models. Chatter built as programmers and enthusiasts started testing the new software out. By the end of the week, X was awash with users claiming that the new Chinese AI model could manage what the best Western AI models — such as OpenAI’s o1 — do at a fraction of the cost. What’s more, DeepSeek is open-source, meaning that anyone can use it. On Friday, tech CEOs were saying that Ivy League researchers from Stanford to MIT had switched to the Chinese model.

As of this morning, tech stocks that had been riding high on the AI boom have started to collapse. In pre-market trading, stocks such as Nvidia, Arm, Micron and AMD were all posting double-digit losses. The entire Nasdaq technology stock index is now under threat, and is already showing signs of losing ground. It is no secret that AI has been in the driving seat of the American stock markets for some time, but now the entire business model appears to be at risk.

DeepSeek’s threat to American firms riding the AI boom operates at multiple levels. The first layer of the business model challenged by the Chinese company includes the firms working on AI models themselves. Goldman Sachs estimates that in 2024 there was around $68 billion of investment in the sector in the United States. But DeepSeek seems to have undercut the entire market on price by a factor of around 20. Early estimates show that DeepSeek input and output tokens — that is, the smallest unit of text processed — are around 96% cheaper than alternatives.

Related to this is the low cost of developing the new Chinese AI model. DeepSeek-R1 cost only around $5.6 million to develop. In comparison, OpenAI’s o1 model cost $600 million to develop. This is not just a minor difference in development cost. The fact that DeepSeek’s development cost less than 1% of that of its American competitors calls into question the entire sector in the United States. Is the entire edifice based on overinvestment — that is, too much money sloshing around causing businesses to become bloated and lazy?

Then there is the impact on the market for graphics processing unit (GPU) chips. Early estimates suggest that DeepSeek uses only around 9% of its rivals’ GPU capacities. This means that, as researchers and commercial players adopt the new Chinese model, they will need far less physical GPU infrastructure. But companies such as Nvidia have seen their stock market valuations skyrocket precisely due to Wall Street analysts factoring in massive future demand for GPU chips. This explains why the Nasdaq index is now at risk of collapsing — before the release of DeepSeek, Nvidia alone made up around 14% of the entire index.

The irony of the DeepSeek saga is that the developers of the model were pushed to make it so efficient because the United States is trying to restrict access to American-designed chips from the likes of Nvidia. Since necessity is the mother of all invention, this has pushed Chinese developers to economise on chip usage. If DeepSeek does indeed crash the entire American AI industry — and possibly even the stock market — it will be because bureaucrats in DC tried to control the technology sector in ill-advised ways.


Philip Pilkington is a macroeconomist and investment professional, and the author of The Reformation in Economics

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