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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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Anthropic Launches Claude Fable 5 With New AI Safety Controls

New Model Sets The Bar For AI Safety And Efficiency

Anthropic has launched Claude Fable 5, the latest public version of its Mythos model, expanding access to a system designed for software engineering, knowledge work and computer vision tasks. The company said high-risk requests involving areas such as cybersecurity, biology, chemistry and AI model distillation will be redirected to Claude Opus 4.8, which has been configured with additional safeguards.

Strategic Rollout And Broader Accessibility

Mythos was initially made available to a limited group of partners in April as Anthropic evaluated potential cybersecurity risks associated with the model. Access was expanded last week to hundreds of organisations across 15 countries, primarily those operating critical infrastructure. Claude Fable 5 is now available through Anthropic’s Claude API and usage-based Enterprise plans. Early access has also been included in selected subscription tiers ahead of a broader pricing rollout scheduled for June 23.

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Advancing Safety And Industry Standards

Anthropic said the model underwent extensive safety testing before release, including bug bounty programmes and red-team exercises conducted by external organisations. According to the company, more than 1,000 hours of testing did not identify any universal jailbreak vulnerabilities.

A mandatory 30-day data retention policy will apply to all traffic processed by the model, including accounts that previously operated under zero-retention agreements. Anthropic said the measure is intended to improve monitoring and protection against emerging security threats.

Outstanding Performance And Competitive Pricing

Independent evaluations, including testing by analytics company Hex, reported strong performance in complex reasoning and analytical tasks. Companies, including Base44 and Genspark, highlighted improvements in tool use and interface design capabilities. Pricing has been set at $10 per million input tokens and $50 per million output tokens, compared with lower rates for previous models. Some enterprise customers, including Rakuten, said the model’s ability to verify aspects of its own output could help improve efficiency in tasks that require higher levels of accuracy.

Implications For The AI Market

The release comes as Anthropic prepares for a potential public market debut, and competition among leading AI developers continues to intensify. Alongside performance improvements, the company has placed significant emphasis on model safety, reflecting broader industry concerns around misuse, jailbreak attempts and the risks associated with increasingly capable AI systems.