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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.

Google Says AI Has Accelerated Chrome Security Patching To Record Levels

Google said its internal AI tools helped identify and fix more security vulnerabilities in the last two Chrome releases than the company patched across the previous two years combined.

In a post published Thursday on its security blog, Google said it fixed 1,072 security bugs in Chrome versions 149 and 150, both released in June. That compares with 1,036 vulnerabilities fixed across the previous 23 Chrome releases.

Google Expands AI Use In Security

Google outlined its approach in a white paper describing how it uses AI models to identify vulnerabilities and accelerate remediation. The report includes a chart showing a sharp increase in the number of bugs fixed in recent Chrome releases.

The company refers to each Chrome release as a “milestone.” Chrome version 126 was released in June 2024, while versions 149 and 150 shipped last month.

Company Says AI Speeds Vulnerability Detection

Doug Turner, Chrome’s director of engineering, said large language models have “fundamentally shifted the economics of cybersecurity” by automating vulnerability discovery.

“By applying models like Gemini, we are preemptively fixing vulnerabilities, outpacing our adversaries and making Chrome safer with every update,” Turner said.

Microsoft Also Reports More Security Fixes

Google is not the only technology company reporting higher numbers of security patches alongside broader AI adoption. Earlier this month, Microsoft said it fixed a record 570 vulnerabilities during its monthly Patch Tuesday release and cited its use of AI as one factor behind the increase.

Apple has not reported a comparable increase. According to an independent vulnerability tracker, the company has fixed 482 security flaws in 2026 so far, a total broadly in line with previous years.

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