AI and Chip Stocks Lose $5 Trillion in October as Broader U.S. Market Gains $1.3 Trillion
AI and semiconductor stocks suffered a significant sell-off in October, losing approximately $5 trillion in combined market value since October 6, even as the broader U.S. stock market continued to advance. Data cited by Coin Bureau, based on figures from Yahoo Finance, showed that 47 artificial intelligence and chip stocks experienced substantial losses while 625 other large U.S. stocks collectively added $1.3 trillion in value.
The contrasting performance highlights a notable divide within the U.S. equity market. While companies associated with artificial intelligence and semiconductor technology faced considerable pressure, the wider group of large-cap stocks demonstrated resilience over the same period.
AI and Semiconductor Stocks Face $5 Trillion Decline
According to the figures shared by Coin Bureau, 47 AI and chip stocks shed approximately $5 trillion in market value beginning October 6. The scale of the decline underscores the extent of the selling pressure affecting companies linked to two of the most closely watched sectors in the technology market.
Artificial intelligence and semiconductor companies have attracted significant attention from investors because of their connection to the development and expansion of AI technologies. However, the October performance described in the data shows that these stocks experienced a sharp reversal during the reported period.
The figures cover 47 individual stocks across the AI and chip sectors. They do not indicate that the entire U.S. equity market experienced a comparable decline. In fact, the performance of other large American companies presented a substantially different picture.
Broader U.S. Market Adds $1.3 Trillion
While AI and semiconductor stocks lost approximately $5 trillion, a separate group of 625 other large U.S. stocks gained a combined $1.3 trillion, according to Yahoo Finance data cited by Coin Bureau.
This comparison suggests that October's market weakness was concentrated in particular technology-related sectors rather than being reflected uniformly across large U.S. equities. The gains recorded by the 625 other stocks indicate that significant portions of the broader market continued to add value despite the pressure on AI and chip companies.
The difference between the two groups is particularly notable. The 47 AI and semiconductor stocks recorded approximately $5 trillion in losses, while the 625 other large U.S. stocks collectively gained $1.3 trillion. These figures illustrate the contrasting market performance during the period beginning October 6.
Jeff Hirsch Maintains Bullish Outlook
The market correction has not prompted every market observer to adopt a bearish position. Jeff Hirsch, editor of the Stock Trader's Almanac, described the October sell-off as "Octoberphobia," suggesting that concerns surrounding the market downturn may be greater than the underlying damage warrants.
Hirsch said he remained bullish and was buying the dip despite the significant losses recorded across AI and semiconductor stocks. His position reflects a more optimistic interpretation of the market's performance, particularly when the weakness in technology markets shares is compared with gains elsewhere in the U.S. equity market.
"The damage isn't as bad as the headlines are," Hirsch said, expressing the view that media coverage may be placing disproportionate emphasis on the scale of the sell-off.
The figures shared by Coin Bureau, drawing on Yahoo Finance data, provide the numerical context behind that assessment: 47 AI and chip stocks lost approximately $5 trillion in value since October 6, while 625 other large U.S. stocks gained $1.3 trillion over the reported period.
Writer: Victoria HaleTechnology & Blockchain WriterVictoria Hale writes about blockchain technology, digital infrastructure, and the intersection of emerging technologies with finance. Her articles explore how new protocols and systems are shaping the evolving digital economy.She prioritises clarity and accuracy when explaining technical developments to a general audience.
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