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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.

Cloudflare Sets New Default To Separate Search Crawlers From AI Bots

Cloudflare has drawn a sharper line between traditional search and artificial intelligence.

Beginning September 15, 2026, the company will change its default settings to block so-called mixed-use crawlers from pages that run ads, unless a site owner chooses otherwise. The policy applies to new Cloudflare customers, new sites created by existing customers, and all current free customers.

A Clearer Divide In Web Access

The shift could materially reshape how AI companies collect web data for model training and agentic products. Cloudflare’s central argument is straightforward: most publishers want their content to remain visible in search and accessible through certain AI services, but they do not want that same material repurposed without compensation.

In Cloudflare’s view, the problem is not crawling itself. It is the blending of three different functions: search, agentic use, and training into a single bot that makes it difficult for website owners to set meaningful boundaries.

The Google Question

Cloudflare pointedly referenced the “world’s largest search engine,” an unmistakable nod to Google, arguing that it has access to roughly twice as much information as rival AI companies because it makes it harder for customers to stay discoverable without also being used for AI.

Google has disputed that framing. The company offers Google Extended, a crawler setting that lets publishers opt out of having content used for training and AI products such as Gemini apps and Vertex AI, without affecting visibility in Google Search. At the same time, Googlebot still crawls for Search and for AI-powered features such as AI Overviews and AI Mode.

Publishers Want Reach, Not Exploitation

Matthew Prince, Cloudflare’s co-founder and chief executive, said the company is moving quickly because the internet is now dominated by machine traffic.

“Now that the majority of traffic on the Internet is non-human, we must go further and act faster so that a sustainable ecosystem can emerge,” Prince said, referring to the recent milestone in which bots surpassed human traffic online sooner than expected.

Prince added that Cloudflare’s tools and partnerships are designed to give publishers more visibility and commercial leverage, while also rewarding AI companies that are transparent about how they use content.

From Pay Per Crawl To Pay Per Use

Cloudflare has increasingly positioned itself as a gatekeeper for publishers looking to assert control in the AI era. The company already offers tools to block AI bots, along with a marketplace called Pay Per Crawl, which lets websites charge AI systems for scraping.

That framework is now expanding into Pay Per Use, which Cloudflare says will allow publishers to charge AI companies when content creates value, not merely when it is fetched. In practical terms, that shifts the economics from extraction to monetization.

Cloudflare says the move may also reduce waste. Its data suggests more than half of crawl traffic from AI bots is spent revisiting pages that have not changed, consuming bandwidth and compute without adding fresh value for either side.

Early Partners Signal The Commercial Model

To launch the new system, Cloudflare is working with Ceramic.ai and You.com. Under the opt-in model, publishers can be paid when their content appears in Ceramic’s AI search results or when You.com accesses premium material.

Cloudflare says other AI companies can adapt the model to fit their own products. The broader message is clear: the era of unrestricted crawling is giving way to one in which access, attribution, and compensation are increasingly negotiated rather than assumed.

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