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Applied Materials CEO: AI demand drives 8-quarter order visibility

Applied Materials CEO Gary Dickerson stated that the company’s order book extends eight quarters into the future, driven primarily by artificial intelligence compute demand. Speaking at a Goldman Sachs conference, he highlighted that leading-edge foundry logic, DRAM, and advanced packaging are projected to account for roughly 80% of wafer fab equipment growth in 2026 and 2027. The company…

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Key points

  • Applied Materials order book extends eight quarters, driven by AI compute demand and 40% expected growth.
  • DRAM and advanced packaging are key growth drivers, with DRAM revenue up 52% year-over-year.
  • Peers like ASML and Lam Research corroborate the AI boom by raising capacity and revenue outlooks.

Dickerson emphasized that DRAM revenue, including HBM packaging, grew 52% year-over-year to record levels, while advanced packaging is expected to expand by more than 70% in 2026. He noted that customer visibility now extends in some cases to 2030, with the company planning to double its quarterly system output by 2028. This bullish outlook is corroborated by peers such as Lam Research, KLA, and ASML, which have also raised their outlooks and capacity plans in response to sustained AI infrastructure buildout.

Despite the strong fundamental data, Applied Materials shares have already risen significantly, trading at a forward P/E of 26x. While the contracted demand supports near-term growth, investors face cyclical risks inherent in semiconductor equipment sales. The broad exposure across deposition, etch, and packaging makes Applied a diversified play on the AI hardware supply chain, though the stock price currently reflects much of this optimism.

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Full story from 247wallst.com · by Omor Ibne Ehsan · via Search: ASMLOpen source ↗

Applied Materials CEO Says the AI Boom Is Nowhere Near Over. His Order Book Is the Proof

247wallst.com · 10 September 2026

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This text was published by 247wallst.com and written by Omor Ibne Ehsan. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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