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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.

Mobile Apps Surpass Games Globally In 2025 As AI Fuels Unprecedented Growth

In a landmark shift for the mobile industry, 2025 marked the first year that global consumer spending on non-game mobile apps exceeded that of mobile games. Market intelligence firm Sensor Tower reported in their annual State of Mobile report that worldwide spending on apps reached approximately $85 billion, a 21% increase year-over-year and nearly 2.8 times higher than five years ago.

Generative AI Drives Revenue And User Engagement

The rapid ascendance of generative AI has been a major catalyst in this growth. Revenue from in-app purchases in the generative AI category more than tripled in 2025 to exceed $5 billion, while downloads doubled to 3.8 billion. Leading the charge were AI assistants, with top performers including OpenAI’s ChatGPT, Google Gemini, and DeepSeek. Notably, ChatGPT generated $3.4 billion in global in-app purchase revenue, underscoring its critical role in reshaping consumer behavior.

Surge In Engagement And Session Metrics

Consumer engagement reached new heights, with users spending 48 billion hours in generative AI apps—3.6 times more than in 2024 and 10 times the volume of 2023. Session volume surpassed one trillion, indicating that existing users were deepening their interaction with these apps at a rate that outpaced new downloads. This intense engagement is reflective of how seamlessly AI is integrating into everyday mobile activities.

Big Tech Intensifies The AI Battle

Big technology players, including Google, Microsoft, and X, have significantly ramped up their investments in AI assistants to compete with ChatGPT. Their concerted efforts have led to rapid advancements in coding assistance, content generation, and multimedia capabilities. Recent upgrades such as ChatGPT’s GPT-4o image generation model and Google’s Nano Banana exemplify the transformative improvements that are driving consumer adoption.

Consolidation And Expansion In The AI Space

Among the top AI publishers, OpenAI and DeepSeek commanded nearly 50% of global downloads—a substantial increase from 21% in 2024. Concurrently, big tech publishers grew their market share from 14% to nearly 30%, effectively crowding out early ChatGPT alternatives. In addition to AI assistants, other innovative apps, including AI music generation by Suno, ByteDance’s text-to-video solution Jimeng AI, and companion apps such as Character.ai and PolyBuzz, contributed to the expanding AI ecosystem.

Mobile: The Key Connector To Generative AI Services

Sensor Tower’s report underscores the critical role of mobile platforms in mobilizing access to generative AI. In the United States alone, the total audience for AI assistants topped 200 million by year-end, with more than half (110 million) relying exclusively on mobile devices. This stark contrast to the 13 million mobile-only users in 2024 highlights a significant shift in consumer preferences and the increasing indispensability of mobile applications as conduits for innovative AI technologies.

Diverse Revenue Streams Beyond AI

While AI was the dominant revenue driver, the report also notes robust contributions from social media, video streaming, and productivity apps. In particular, social media apps commanded an average of 90 minutes of daily user engagement, culminating in nearly 2.5 trillion hours spent globally—a 5% year-over-year increase. This diversity in revenue streams underscores the resilience and dynamism inherent in the mobile app ecosystem.

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