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U.S. premarket chip stocks slide as Micron retreats after earnings rally

U.S. premarket chip stocks slide as Micron retreats after earnings rally

Micron fell nearly 5% after a sharp post-earnings surge, while Intel, AMD, Nvidia and other semiconductor names declined amid broader concern over AI infrastructure spending and a wider global chip sell-off.

Fact Check
The original JinseFinance (金色财经) X post from June 24 states precisely that optical communications concept stocks rebounded premarket after falling the prior session, with Himax (奇景光电), Credo Technology, and GlobalFoundries up over 3% and Marvell (迈威尔科技) up nearly 2%—matching the claim exactly. This is corroborated by hstong.com and Bitget aggregations of the same report. The June 23 X posts independently confirm the prior session's broad sector decline, supporting the rebound framing. Note the input's caller-supplied odaily/theblockbeats links referred to after-hours (盘后) moves rather than premarket, but the authoritative JinseFinance source confirms the premarket claim.
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Summary

U.S. premarket trading on June 26 was broadly weaker across semiconductor and other tech-linked names. Micron fell nearly 5% after rallying more than 15% on blowout earnings earlier in the week, while Intel dropped just over 3%, AMD and Lattice Semiconductor fell nearly 3%, and NXP, Qualcomm, Broadcom, Nvidia, TSMC and Tesla declined more than 1%. Sandisk, Arm, Marvell, storage and optical-networking names, and crypto-linked equity MSTR also moved lower, even as Microsoft, Amazon, IBM and Apple edged higher. The weakness coincided with a wider sell-off in chip stocks across the U.S., Europe and Asia as investors weighed the rising cost of building AI infrastructure despite strong demand from hyperscalers for memory used in data centers.

Terms & Concepts
  • premarket: Trading that takes place before regular U.S. stock market hours begin.
  • hyperscalers: Very large cloud and technology companies that build and operate massive data center infrastructure.
  • AI infrastructure: The chips, servers, networking gear and data centers needed to train and run artificial intelligence systems.