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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.

How Norway, Italy And New York Are Redrawing The Rules For Generative AI In Schools

New York City has joined governments and school systems restricting generative AI use by students, following tighter rules introduced in Europe. Norway and Italy have taken different approaches, while the European Union’s AI Act leaves gaps around student-facing AI tools.

Norway Moved First

Norway banned generative AI in primary schools in June, months before New York City announced its restrictions. The ban took effect at the end of August, covers grades one through seven and allows supervised use up to age 16.

Prime Minister Jonas Gahr Støre has argued that unrestricted AI could allow children to bypass essential early stages of learning to read, write and perform basic arithmetic.

Italy Chooses Controlled Access

Italy has taken a narrower approach. Under Law 132/2025, children under 14 have needed parental consent to use AI since October 2025. The permission-based model keeps AI available while placing responsibility on parents, contrasting with Norway’s broader restriction.

The EU’s AI Act Leaves A Gap

The EU AI Act classifies certain education uses as high-risk under Annex III, including AI used for admissions, exam monitoring and learning assessment.

However, the designation does not clearly cover generative AI tools students use directly, such as chatbots that help with homework. A “Digital Omnibus” revision also moved the Annex III compliance deadline to December 2027.

Article 4 is already binding. Since February 2025, companies deploying AI have been required to ensure “sufficient AI literacy,” an approach similar to the literacy requirements New York is introducing.

New York Sets Broad Student Restrictions

New York City has become the largest US school district to adopt comparable limits. Mayor Zohran Mamdani and Schools Chancellor Kamar Samuels announced a one-year moratorium on student-facing generative AI for children from 2-K through eighth grade.

The policy affects nearly 600,000 students, about two-thirds of public school enrollment. More than 38 approved classroom programs that fail new safety requirements will have their AI functions disabled, while companion chatbots will be banned across all grades.

Teachers may use AI for lesson planning but not grading or crisis management. Up to 50,000 high school students can join supervised pilots, limited to five classes per school, while other high school students will receive AI literacy lessons twice a year.

“The tech industry wants us to believe that AI-powered early education is not only inevitable, but necessary,” Mamdani said. “We do not see it that way.”

U.S. Schools Lack A Common Approach

Los Angeles Unified, the nation’s second-largest school district, is temporarily blocking generative AI tools on student devices across all grades while developing a permanent policy. It also banned school-issued devices for its youngest students in June as part of a broader screen-time strategy.

At least 37 US states have issued official AI guidance for schools, but there is no common definition of AI literacy or national agreement on how it should be taught.

Schools Still Face Questions

Michael Mulgrew, president of the United Federation of Teachers, welcomed New York’s screen-time limits but questioned how the Department of Education will verify that purchased software includes adequate safeguards.

Josh Golin, executive director of Fairplay, said a one-year review period is too short and argued that AI companies should demonstrate that their products are safe, effective and not designed to encourage cheating.

AI is already in classrooms, leaving schools and regulators to determine who sets the rules, who bears the risks and whether existing safeguards can protect children.

New York City public school students are scheduled to return to classrooms next week.

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