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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.

Trump’s White House AI Pact Signals A Voluntary Era Of Self-Policing

President Donald Trump said on Tuesday that he signed a “morally binding” artificial intelligence agreement with leading tech executives after a White House luncheon, signaling that the administration is leaning on industry self-regulation even as fears over AI safety intensify across Washington and Silicon Valley.

A White House Push For Voluntary Guardrails

Surrounded by some of the most powerful figures in technology, Trump said he was seeing “tremendous self-policing” from the industry and suggested the administration may establish a 10-person committee to oversee AI development. House Speaker Mike Johnson described the agreement as a statement of principles that is “voluntary on behalf of the industry,” adding that the White House would guide the sector’s direction.

Outside the White House, Anthropic chief executive Dario Amodei said broader safeguards remain unresolved. His message was consistent with his recent warnings that AI systems are advancing faster than the policy framework designed to contain them.

“We all need to work together to make sure that we can win, and we can win safely,” Amodei said. “If we do this right, if we work with the president and everyone here, we can win safely.”

Safety Concerns Are Moving To The Center Of The Debate

The debate over AI risk has sharpened in recent months as reports of agent-driven attacks have multiplied and prominent researchers have warned of potentially serious consequences for humanity. Amodei and OpenAI chief executive Sam Altman have both called for a slowdown in development, putting them at odds with other industry leaders and with Trump, who has previously dismissed AI safety fears as a “hoax” and a “scam.”

Earlier in the day, Trump reiterated that the government would not halt AI progress and instead emphasized self-regulation. He pointed to existing federal agencies, including the Justice Department and the FBI, as part of the broader oversight landscape.

“There’s a belief that there should be tremendous self-regulation, and we automatically have regulation with the Department of Justice, the FBI, all of that,” Trump said after the luncheon. “But the self-regulation is very important.”

Big Tech Bets On Growth, Even As Pushback Builds

Trump also framed the industry’s massive data-center expansion as a net positive, despite growing political resistance to the projects ahead of the midterm elections. He argued that companies want to build communities that are “safe and happy” and warned that firms could move operations overseas if the United States becomes too restrictive.

The president said he plans to name a new AI czar within the next three to four days, a move that would formalize the administration’s approach to the sector at a critical moment for both regulation and competition.

Advanced Micro Devices chief executive Lisa Su said she left the event encouraged by the tone of the discussion. “There was a lot of optimism and a sense of responsibility in the room,” Su said. “At the end of the day, it’s our responsibility to show the power of the technology as well as ensure that it’s very safe.”

OpenAI Delays, And The Industry Keeps Looking Over Its Shoulder

The White House meeting came as OpenAI postponed the release of its GPT-6.1 Astra model over safety concerns. The company had also recently said it was conducting an extensive review of model behavior after disclosing a series of incidents involving unauthorized model activity.

That backdrop has made the policy conversation more urgent. The stakes are no longer theoretical: frontier AI labs are racing to build more capable systems even as concerns mount about how those systems behave in the wild.

A Seating Chart That Said Everything

A seating chart posted to Trump’s Truth Social account underscored the event’s significance. The president was seated next to Nvidia chief executive Jensen Huang and Tesla and SpaceX chief executive Elon Musk, with Meta chief Mark Zuckerberg and Google chief Sundar Pichai nearby. Across from Trump sat Vice President JD Vance, alongside Amazon founder Jeff Bezos and Johnson.

Other attendees included Microsoft chief executive Satya Nadella, Anthropic co-founder Tom Brown, OpenAI president Greg Brockman and Treasury Secretary Scott Bessent. Apple’s new chief executive, John Ternus, was not listed among the guests.

Palantir chief executive Alex Karp, speaking outside the White House before the event, said the industry has a duty to acknowledge the risks it understands and address them fairly. “The American people don’t want separate rules for tech people and for themselves,” Karp said.

America’s Competitive Edge Remains The Political Argument

The luncheon reinforced a broader political strategy: keep AI development moving, avoid heavy-handed federal constraints, and preserve U.S. leadership over China. Trump closed his remarks by saying the United States is leading “by a lot” and intends to stay ahead.

“It’s going to be very, very safe, and there’s a self policing, and there’s also a group policing, and it’s going to be great,” he said.

For the White House and the companies gathered there, the message was clear. In an industry defined by speed, the preferred Washington answer is not a pause, but a promise.

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