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Micron CEO: AI Broke Memory Industry Boom-Bust Cycle

Micron CEO Sanjay Mehrotra says AI demand has fundamentally transformed the memory chip industry, with HBM supply meeting only half of customer orders.

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Micron Technology CEO Sanjay Mehrotra told CNBC’s Mad Money that artificial intelligence has “totally changed” the equation for the memory semiconductor industry’s traditional boom-and-bust cycle.

The remarks came as Micron stock has surged roughly 860% over the past year, pushing the company’s market capitalization past $1 trillion in May 2026. The Boise, Idaho-based chipmaker has emerged as one of the primary beneficiaries of the AI infrastructure buildout sweeping the technology sector.

From Commodity to Strategic Asset

Historically, the memory industry operated on a predictable cycle: surging demand would drive up prices, prompting increased production, which would flood the market and crash prices before the cycle reset. Mehrotra argued that AI has disrupted that pattern fundamentally.

The driving force is high-bandwidth memory (HBM), the specialized chips attached directly next to Nvidia’s GPUs to feed data to AI models. Demand for HBM has exploded far beyond what suppliers can produce, with Mehrotra stating that Micron can currently fulfill only 50% to 75% of customer orders.

Record Financials

The numbers back up the transformation. Micron’s fiscal third quarter (March-May 2026) saw revenue soar 196% year-over-year to approximately $24 billion, with gross margins nearing 85%. The company has locked in over $100 billion in long-term supply contracts, a commitment structure that would have been unthinkable in the commodity memory era.

That financial performance reflects a broader industry shift. The global semiconductor market is forecast to approach $975 billion in 2026, with AI-optimized chips driving the lion’s share of growth, according to Deloitte’s 2026 hardware outlook.

Supply Constraints Persist

The bull case rests on structural changes: HBM’s manufacturing complexity creates high barriers to entry, long-term customer prepayments lock in revenue visibility, and AI infrastructure spending shows no signs of slowing. UBS recently lifted its global AI capex forecast to $571 billion for 2026.

But skeptics warn the cycle may simply be delayed rather than broken. BWS Financial has cautioned that current valuations assume record margins, tight HBM supply, and exceptional AI spending will persist for years. Semiconductor history suggests supply-demand conditions can shift rapidly once new capacity comes online.

Sources: CNBC; Deloitte Global Hardware Outlook; UBS Research; Dell’Oro Group

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