The cryptocurrency market and major tech leaders witnessed a combined loss of $1.02 trillion resulting from the rapid rise of Chinese AI DeepSeek and the flexible shape of the digital currency industry.
The cryptocurrency market suffered a huge loss worth $920 billion over the past 24 hours while Nvidia Corp.’s co-founder Jensen Huang, Oracle co-founder Larry Ellison and others lost a combined $108 billion.
A major cause of the crypto slump was Bitcoin’s failure to reach $100,000, which recorded a low run in 11 days. However, the world’s most famous crypto rose above $100,000 on Monday afternoon and traded for $102,975 as of press time.
Experts had warned that there seems to be a deeper relationship between Bitcoin and tech stocks with Nasdaq 100 contributing to the slump.
Also, sentiments surrounding the U.S. Federal Reserve policies influenced market expectations as traders expect the regulator to maintain higher interest rates for a long period. This lowered investors’ risk-taking ability across various assets which affected the crypto world.
Moreover, other major cryptos such as Ethereum, XRP, Solana, and Dogecoin also saw significant declines.
Overall, the accumulated losses seemed to have been a result of the expectation of the U.S. monetary policy and increased competition in the tech world emanating from new AI innovations.
The recent launch of DeepSeek, an open-source AI model by a Chinese startup has intensified pressures in the tech industry over the past 4 days. Major tech leaders and firms had recorded losses following the popularity of the OpenAI ChatGPT competitor.
DeepSeek rise – tech firm and leaders recount losses
DeepSeek became the talk of the tech world when it released its R1 model on Friday. R1’s functionality and accuracy compared to its U.S. counterparts seems like a win for the overall AI industry, despite using fewer resources and less computing power.
The launch and popularity it gained weren’t necessarily good news for all, especially its competitors.
It was gathered that DeepSeek’s model release would impact Nvidia’s stock because R1 provides a clear example that AI technology doesn’t necessarily need expensive, high-end chips or hardware to build an impressive model. This affected the dominance Nvidia gained in the chip-making industry.
Nvidia slumped in stock after DeepSeek’s recent achievement. According to data by Yahoo Finance data, the semiconductor producer saw its stock slip 16.9 per cent from the close of Friday’s markets to that of Monday, as Nvidia lost nearly $600 billion off of its market cap. Its stock closed at $142.62 a share on Friday afternoon then dropped to $118.58 on Monday.
Not only Nvidia, but the Chinese open-source startup’s rise also affected some of the world’s wealthiest individuals. Oracle co-founder Larry Ellison, Nvidia Corp.’s co-founder Jensen Huang, and others lost a combined $108 billion following Monday’s hit.
Jensen Huang’s net worth dropped by nearly 20 per cent ($20.1 billion) while Oracle co-founder Larry Ellison experienced a $22.6 billion loss, representing 12 per cent of his total wealth.
Other major losses were $13 billion for Dell Inc.’s Michael Dell and $12.1 billion for Binance Holdings’ Changpeng “CZ” Zhao. The Nasdaq Composite Index also fell by 3.1 per cent, while the S&P 500 dropped by 1.5 per cent as investors reevaluated the trajectory of AI-focused companies in the wake of DeepSeek’s disruptive entry into the industry.
According to the Bloomberg Billionaires Index, the sector accumulated a collective loss of $94 billion, 85 per cent of the index’s total decline.
Meanwhile, some tech billionaires emerged unscathed. Mark Zuckerberg’s fortune climbed by $4.3 billion with Meta coming from early-session declines and Jeff Bezos gained $632 million in wealth at the end of Monday.
DeepSeek has made waves with the recent launch of its R1 chatbot, an ultra-affordable AI model that quickly surged to the top of global app download charts over the weekend.
A statement from Nvidia qualified DeepSeek as an excellent AI advancement and a perfect example of Test Time Scaling.
“DeepSeek’s work illustrates how new models can be created using that technique, leveraging widely available models and compute that is fully export control compliant. Inference requires significant numbers of Nvidia GPUs and high-performance networking. We now have three scaling laws: pre-training and post-training, which continue, and new test-time scaling,” Nvidia said.
The AI chatbot’s streamlined and cost-efficient approach to AI development stands in stark contrast to the capital-intensive strategies dominating Silicon Valley.
In plans to invest in AI amidst the ongoing line trends, Meta CEO Mark Zuckerberg recently revealed plans to allocate $60 billion to $65 billion toward AI initiatives in 2025, surpassing analysts’ projections.
According to reports, major U.S. tech firms are expected to inject an estimated $200 billion into AI advancements this year.
Similar Read: Everything to know about DeepSeek, the Chinese AI startup disrupting the stock market and app stores.
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