The market reaction, when it came, was brutal. On January 27th, as investors realised just how good DeepSeek’s “v3” and “R1” models were, they wiped around a trillion dollars off the market capitalisation of America’s listed tech firms. Nvidia, a chipmaker and the chief shovel-seller of the artificial-intelligence (AI) gold rush, saw its value fall by $600bn. Yet even if the Chinese model-maker’s new releases rattled investors in a handful of firms, they should be a cause for optimism for the world at large. DeepSeek shows how competition and innovation will make ai cheaper and therefore more useful.
DeepSeek’s models are practically as good as those made by Google and OpenAI—and have been produced at a fraction of the cost. Barred by American export controls from using cutting-edge chips, the Chinese firm undertook an efficiency drive, even reprogramming the chips it used to train the model to eke out every drop of power. The cost of building an AI model that can stand toe-to-toe with the best has plummeted. Within days, DeepSeek’s chatbot was the most downloaded app on the iPhone.
The contrast with America’s approach could not be starker. Sam Altman, the boss of OpenAI, has spent years telling investors—and America’s new president—that vast sums of money and computing power are needed to stay at the forefront of AI. Investors have accordingly been betting that a handful of firms stand to reap vast monopoly-like rents. Yet if fast followers such as DeepSeek can eat away at that lead for a fraction of the cost, then those profits are at risk.
"However, the real winners will be consumers. For AI to transform society, it needs to be cheap, ubiquitous and out of the control of any one country or company. DeepSeek’s success suggests that such a world is imaginable."https://t.co/8aZ4eM5PV5 #USChina #Geoeconomics #地経学
— Ken Doi土居 (@kitakazethomas) January 30, 2025
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