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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 Takes Muse From Consumer Buzz To Small Business Utility

by THEFUTURE.TEAM

September 29, 2026

Meta is widening the ambitions of its Muse AI agent, moving beyond consumer appeal and into the operational core of small business workflows.

A New Push Into Business Productivity

The company on Tuesday introduced Muse for Small Business, a version of the agent designed to connect with widely used software and services from Asana, Zoom, Intuit, Box, Canva and Slack. It can also link directly to Meta ad accounts and professional Instagram and Facebook profiles, turning the agent into a more practical business tool rather than a standalone assistant.

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Pricing remains aligned with the existing Muse app, which is free within usage limits and available on a subscription basis for heavier use.

Meta’s Enterprise Strategy Is Coming Into Focus

The launch follows Monday’s announcement that Meta will build a broader enterprise platform and has brought in MongoDB CEO C.J. Desai to lead it. That platform is expected to include a Muse agent, a business agent and a coding tool, signaling a more deliberate move into enterprise software.

The timing is notable. Meta has enjoyed a strong stretch on Wall Street, with the stock rising sharply in September before pulling back in recent sessions. Much of that momentum has been tied to Muse, which launched on Sept. 8 and quickly climbed to the top of Apple’s App Store, overtaking ChatGPT. Evercore analyst Mark Mahaney has said he expects Muse to reach 100 million users within six to 12 months.

Why Small Business Matters To Meta

Meta CEO Mark Zuckerberg has been explicit about the company’s push to find durable AI revenue beyond advertising, which still accounts for the overwhelming share of Meta’s business. After spending heavily on AI talent, including Scale AI founder Alexandr Wang, Meta has begun rolling out new models under the Muse Spark family, and Zuckerberg has called Muse the “centerpiece” of the company’s AI strategy.

For Meta, small business is a logical entry point. The company says about 200 million small businesses already use Facebook, giving it a vast distribution base and a ready-made customer pool for AI-driven productivity tools. In other words, Meta is not trying to create demand from scratch; it is trying to attach a higher-value service to an existing ecosystem.

The Competitive Stakes Are Rising

The new product arrives as OpenAI holds its developer day and as competition intensifies across enterprise AI. Meta’s move is a clear signal that it intends to compete not only for consumers, but also for business users who increasingly want AI embedded into the platforms they already rely on.

As Meta put it in its announcement: “Small businesses have been growing on our apps for nearly two decades. They told us they’re short on hours, not ideas. So we built Muse for Small Business to help get work done with the tools they already use.”

That framing captures the broader opportunity. The next phase of AI adoption will not be defined solely by novelty or chatbot engagement. It will be defined by integration, workflow efficiency and the ability to deliver measurable business outcomes. Meta appears determined to be in that race.