The call for Big Tech earnings starts later this afternoon, with Microsoft (Msft) and meta (Meta) set to announce their results after the bell. If you had asked someone last week the greatest thought on the mind of Wall Street before income, you would probably have given you a number of responses from the impact of the new Trump administration to capital expenses.
All of this changed on Monday when the market collapsed on a Deepseek AI. The company based in China sent to Wall Street in panic mode on affirmations that its latest model of AI, Deepseek-R1Corresponds to the performance of the models produced by the biggest technological names in Silicon Valley, including Openai and Meta, for a fraction of the cost.
Now, the big question on the minds of investors is how great technology will react to what could mark a titanic change in the space of AI constantly evolving. It’s not just a question of how companies like Microsoft, Meta, Google (Goog,, Googl), and Amazon (Amzn) pass the billions they have poured into the development of AI models, but if Nvidia (Nvda), the greatest winner of the AI explosion is extremely overvalued.
Wall Street already hammered Nvidia on Monday, sending actions to fall and destroy Nearly $ 600 billion in market capitalization. But that is not all the misfortune for the AI trade. Some analysts see Deepseek as a net positive for the AI industry.
In a recent investor note, Bernstein analyst Stacy Rasgon said that if Deepseek’s claims were correct and that it is managed to improve the overall efficiency of AI training, technology technology will probably see an increase in AI technology demand and that any computation power saved by Deepseek’s approach will end up at the end of the end of the Deepseek approach will end up being used to meet this new demand.
RASGON also underlines that it is very unlikely that competing AI companies were not aware of the techniques that Deepseek used to develop its latest model. It is not a section either. Deepseek announced its Deepseek-V3 model in December and R1 on January 20.
Deepseek-V3 is the model that the company said it had spent only $ 5 million to train, compared to the 100 million dollars estimated that other companies have spent their models. Despite the knowledge of V3 and R1, Meta went ahead and announced her intention to Spend more than $ 65 billion in 2025 on AI.
Microsoft, for his part, said that he Spend $ 80 billion for its own AI construction During the company 2025 of the company, although he made this announcement in early January.
Other analysts still have questions about Deepseek’s claims, with Truist Securities analyst William Stein saying that it is difficult to confirm the company’s declarations as to the number and type of token that he used To train your models and during the training time.
