Nvidia Faces Historic Market Loss As DeepSeek Dents Confidence In AI’s Future

by THEFUTURE.TEAM

January 28, 2025

Nvidia experienced the largest single-day market cap drop in history on Monday, as its stock tumbled by 17%, shedding nearly $600 billion in value. This staggering loss is directly linked to a new development in the AI space—DeepSeek, a Chinese AI firm that unveiled its version of ChatGPT, raising concerns over the cost-efficiency and competitive positioning of U.S. AI companies.

Key Details

Nvidia’s shares experienced a severe decline, marking its worst daily percentage drop since March 2020, during the initial shock of the COVID-19 pandemic. On Monday, Nvidia lost a record-breaking $589 billion in market capitalization, more than doubling the previous one-day loss of $279 billion in September 2024. To put it into perspective, this is significantly more than Meta’s $251 billion market cap loss in February 2022.

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As a result, Nvidia’s market valuation dropped from $3.5 trillion to $2.9 trillion, slipping behind Apple and Microsoft as the world’s most valuable company. Nvidia’s dramatic fall led a broader retreat in U.S. stocks, with the S&P 500 losing 1.5% and the Nasdaq dropping 3.1%. Other major players in the AI industry, such as chipmakers Arm and Broadcom, alongside Oracle, saw their stocks plummet by at least 10%.

The DeepSeek Effect

The cause of Nvidia’s catastrophic loss lies in DeepSeek’s release of its large-language model, which has cast doubt on the continued dominance of U.S. companies in generative AI. Initially, this might not seem like a negative development for Nvidia, as DeepSeek’s model was also powered by Nvidia’s powerful graphics processing units (GPUs), just like many other AI technologies. However, DeepSeek revealed that it spent just $5.6 million on Nvidia’s technology to develop its model. While experts believe this figure is likely a significant underestimation, it still calls into question the very foundation of Nvidia’s meteoric stock rise.

In recent years, Nvidia’s profits have skyrocketed, with projections indicating net profits could soar from $4.8 billion in 2022 to $66.7 billion in 2024, largely due to the soaring demand for its high-priced GPUs, which can cost up to $25,000 each. U.S. tech giants such as Meta, Tesla, and OpenAI have been among Nvidia’s biggest customers. However, if companies like these can replicate DeepSeek’s cost-efficient approach by using cheaper GPUs, Nvidia could face significant challenges in maintaining its market dominance.

As Ed Yardeni of Yardeni Research pointed out, this shift could be an unwelcome development for Nvidia.

Surprising Statistic

Nvidia’s near-$600 billion market cap loss on Monday exceeds the market values of all but 13 American companies, surpassing industry giants like UnitedHealth, Exxon Mobil, and Costco.

CEO’s Losses

Nvidia CEO Jensen Huang saw his wealth take a massive hit, losing $21 billion in a single day. His net worth dropped from $124.4 billion to $103.1 billion, according to Forbes estimates. Huang remains the largest individual shareholder in Nvidia, owning a 3% stake in the company.

Nvidia’s colossal market cap loss highlights the growing uncertainties in the AI sector, as DeepSeek’s cost-effective alternative to American AI models threatens to disrupt the industry’s balance. With AI becoming an increasingly competitive and global field, Nvidia’s future may hinge on how it adapts to these emerging challenges.

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Meta’s Muse Is Outpacing ChatGPT In Early Mobile Adoption, New Data Suggests

by THEFUTURE.TEAM

September 22, 2026

Meta’s new AI app, Muse, may be emerging as one of the company’s strongest consumer launches to date. Fresh estimates from market intelligence firm Apptopia suggest the app has outperformed ChatGPT in early mobile traction, at least in the U.S. and Canada.

According to Apptopia, Muse recorded more downloads in its first 12 days on the market than ChatGPT did during the comparable period after its mobile debut. The comparison, limited to the U.S. and Canada, puts Muse’s iOS downloads at 1.8 million versus 1.3 million for ChatGPT over the same initial window.

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A Strong Early Start Across Platforms

In total, Muse has reached 2.8 million global installs in its first 12 days, according to the firm. The app’s momentum also appears to be holding. After debuting at No. 2 on the U.S. App Store, Muse has since climbed to No. 1, surpassing ChatGPT, according to reporting from Business Insider. Appfigures had previously estimated that Muse crossed 1 million downloads shortly after launch.

That early rise matters because app-store performance in the first days after launch often signals whether a product can sustain consumer attention beyond initial curiosity. In Meta’s case, the data suggests Muse is not simply benefiting from novelty; it is gaining ground quickly enough to challenge the category leader.

Daily Users Show Similar Momentum

Apptopia’s estimates point to another favorable comparison for Meta: daily usage. In the U.S. alone, Muse is said to have 642,000 daily active users, well above the 231,000 ChatGPT had at the same stage of its mobile rollout.

To make the comparison fairer, Apptopia also narrowed the analysis to iOS only, since ChatGPT launched on iPhone before expanding more broadly. Even under that tighter lens, Muse still comes out ahead, with 359,000 daily active users on iOS compared with ChatGPT’s earlier figure.

Why Meta Has An Advantage

Third-party estimates are not the same as internal company data, and Apptopia cannot see Meta’s proprietary numbers. Still, even directional data suggests Muse may be on track to become a meaningful consumer product for Meta.

That possibility is strengthened by Meta’s distribution advantage. The company has already demonstrated how powerful its ecosystem can be with Threads, which surpassed 500 million users after heavy promotion across Instagram and Facebook. Muse is likely to receive a similar boost, especially because it can connect across Facebook, Instagram, and WhatsApp.

Apptopia does not track Meta’s internal promotion strategy, but its data indicates that more than 95% of Muse users are also Facebook users, while 63% are Instagram users. That overlap underscores how effectively Meta can move users across its products when it chooses to prioritize a launch.

The Strategic Test For Meta

For Meta, the early signal from Muse is less about one app’s download count than about whether the company can turn its scale into durable AI adoption. The first test is attention. The harder one is retention.

If Muse can convert early downloads into habitual use, Meta may have found a new front door into its AI ambitions. If not, the app risks becoming another example of how easily mobile hype can spike before settling back down.

Meta, which was asked for comment, has not yet released public figures on Muse’s early adoption.

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