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

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.

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.

Meta Launches AI Personal Agent With Subscriptions Starting At $20

Meta has launched a new AI personal agent app and is already asking some users to pay for it, as the company seeks to turn its AI investment into a new business line.

Developed under the internal code name Hatch, the app is powered by Meta’s Muse Spark family of foundation models. It can handle everyday tasks including booking appointments, completing online forms and monitoring home security camera feeds.

Meta Targets A Simple User Experience

Meta AI chief Alexandr Wang said Muse is designed to keep the user experience simple while handling complex tasks in the background.

“Behind the scenes, Muse might be doing very advanced coding workflows, or building sophisticated integrations, or doing quite a lot of heavy lifting while keeping that very sort of simple for the user,” Wang told CNBC.

Muse will offer a free tier and monthly plans costing $20 and $100, depending on usage. The pricing reflects Meta’s effort to build recurring AI revenue alongside advertising.

Zuckerberg Bets On Personal AI Agents

CEO Mark Zuckerberg has identified personal AI agents as a potential next stage of artificial intelligence and a source of future products and revenue. That strategy is driving continued spending on data centers and AI infrastructure as Meta bets that assistants capable of managing emails, finding deals and handling routine tasks will become mainstream.

Launch Comes Amid Legal And Industry Scrutiny

Muse arrives as Meta faces continued legal scrutiny. The company recently agreed to pay nearly $17 billion in a settlement with a coalition of state attorneys general over allegations involving harm on Facebook and Instagram, while additional lawsuits from personal injury plaintiffs and school districts remain pending.

Across the AI industry, regulators and security experts are also examining cybersecurity risks associated with autonomous agents and their underlying models. Data center expansion and questions over AI profitability are adding further pressure on major technology companies.

Meta Seeks A Payoff From AI Spending

Wall Street is pressing Meta to show that its AI investments can produce durable returns as the company remains heavily dependent on advertising while expanding into subscriptions and commerce.

Muse joins Meta’s broader AI portfolio, including the Muse Code developer agent and subscription offerings tested in recent months. Together, they point to a strategy of building a commercial AI services business rather than treating AI products as standalone experiments.

Security, Privacy And Commerce

Meta says Muse operates in an isolated environment and does not access users’ actual passwords or payment details. The agent asks for approval before sensitive actions, while third-party researchers can test the product through a bug-bounty program.

Users can opt out of having their Muse interactions used to train Meta’s models. For those who remain opted in, Meta says it will remove critical personally identifying information before using the data, according to David Singleton, Meta’s vice president of engineering.

Commerce could provide another revenue source. Wang said Meta is considering taking a share of shopping transactions completed through the agent, although no final business model has been decided.

Muse Expands Across Meta’s Ecosystem

US consumers will be able to access Muse on iOS, Android and a standalone website, with plans to bring it to Ray-Ban Meta glasses.

The service will compete with personal-agent products from OpenAI, Google and newer startups. Wang acknowledged that the market remains at an early stage, saying, “It’s pretty early in this new era of personal agents.”

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