A new AI model from DeepSeek shakes the stock market, causing a massive revaluation in AI-related companies. This shift raises questions about the future of AI dominance and the necessity of high-end computer chips. The episode also delves into the energy demands of AI technologies and the impact on energy markets. Discussions include how DeepSeek’s cost-effective approach could democratize AI access, reshaping market dynamics and investment strategies. Major players like NVIDIA and Salesforce feel the aftershocks of this surprising industry disruption.
The launch of DeepSeek disrupted the market by demonstrating that powerful AI models can be developed at significantly lower costs and resource requirements.
Investors reevaluated their reliance on semiconductor and energy companies as DeepSeek diminished the perceived energy demands associated with AI development.
Deep dives
The Impact of DeepSeek on AI Market Assumptions
The sudden market downturn triggered by the launch of the DeepSeek AI model drastically shifted investor assumptions regarding artificial intelligence. Unlike the costly and resource-intensive models developed by major American companies, DeepSeek emerged with a platform apparently operating on far fewer resources and at a lower cost. This revelation forced a reconsideration of the previously held belief that only large-scale enterprises could compete in the AI space, highlighting the possibility of achieving high performance without the hefty investments. As DeepSeek gained attention and downloads, the stock market reacted sharply, leading to significant losses for several AI-related companies.
Repercussions for Major Tech Companies
The stock prices of prominent companies, particularly those producing essential semiconductor chips like NVIDIA, suffered considerably amidst the market upheaval. NVIDIA, which had enjoyed a meteoric rise due to its supremacy in supplying the chips necessary for AI training, faced a nearly 20% drop in share value. This decline marked a historical one-day loss of almost $600 billion in market capitalization, raising questions about the future relevance of such chip makers given DeepSeek's financial efficiency. Investors were compelled to reassess their confidence in companies heavily tied to high-tech processors, fearing that the landscape of AI development might be evolving away from traditional dependencies.
Rethinking the Future of AI and Energy Needs
The market disruption also led to significant declines in energy-related stocks, particularly for those invested in nuclear power like Constellation Energy. This shift came as the industry began questioning the projected energy demands of the AI sector; DeepSeek's capabilities suggested a less energy-intensive future than previously anticipated. Consequently, the assumption that AI development would drive enormous energy consumption faltered, prompting a sell-off in companies previously viewed as essential to powering this technology revolution. This realignment suggested a broader shift from reliance on energy and chip enablers to a more diverse range of AI adopters, indicating a transformation in investment strategies.
On Monday, the stock market went into a tizzy over a new AI model from Chinese company DeepSeek. It seemed to be just as powerful as many of its American competitors, but its makers claimed to have made it far more cheaply, using far less computing power than similar AI apps like ChatGPT, Claude, or Gemini. In one day, hundreds of billions of dollars were wiped off the valuations of companies related to AI.
This week, investors seemed suddenly to change their minds about what our AI future would look like and which companies will (or won't) profit from it. Will we really need all those high-end computer chips, after all? What about power plants to provide electricity for all the energy-hungry AI data centers?
On today's show – how DeepSeek might have changed the economics of artificial intelligence forever.
This episode was produced by Willa Rubin with an assist from James Sneed. It was edited by Keith Romer and engineered by Neil Tevault. Research help from Sierra Juarez. Alex Goldmark is Planet Money's executive producer.