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    Home»Tech News»Chipmakers fall in US and Asia as AI jitters rattle investors
    Tech News

    Chipmakers fall in US and Asia as AI jitters rattle investors

    Team_Prime US NewsBy Team_Prime US NewsJuly 28, 2026No Comments2 Mins Read
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    Shares in main chip companies have fallen sharply within the US and Asia as a sell-off in synthetic intelligence-related shares deepened.

    Buying and selling on South Korea’s benchmark Kospi index was paused briefly on Tuesday morning after sliding by 8%. It fell additional after the 20-minute halt was lifted to commerce round 10% decrease.

    The droop was led by know-how companies, with Samsung Electronics and SK Hynix each falling by greater than 10%.

    It comes after AI chip big Nvidia fell by 5% in New York on Monday, that means it misplaced its place because the world’s most precious listed firm to Apple.

    The tech-heavy Kospi has been halted eight instances to this point this 12 months beneath a inventory market mechanism generally known as a circuit breaker, which is designed to calm panic promoting.

    The index had greater than doubled from the beginning of the 12 months to mid-June however has since misplaced round a 3rd of its worth.

    In current months, inventory market buying and selling has been notably unstable in South Korea because it has attracted massive numbers of retail buyers.

    On Monday, US-listed shares in SK Hynix fell by 7.5% to effectively beneath the $149 provide worth when it made a record-breaking debut on the Nasdaq on 9 July.

    Japan’s Nikkei 225, which can also be dominated by tech firms, was virtually 4.5% decrease on Tuesday morning.

    Nvidia shares fell on Monday after the Wall Road Journal reported that it’s in talks to supply round $250bn for OpenAI as a part of a large data-centre venture.

    The BBC has contacted Nvidia and OpenAI for remark.

    The decline allowed Apple to overhaul Nvidia because the world’s most precious firm after the iPhone maker rose by about 25% this 12 months.

    As governments and corporations spend lots of of billions of {dollars} on creating AI capabilities, some analysts have questioned whether or not the know-how can turn out to be worthwhile sufficient to recoup such large investments.



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