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Micron CEO Sanjay Mehrotra sees humanoid robots as next AI memory driver

Micron CEO Sanjay Mehrotra sees humanoid robots as next AI memory driver

3 Key Points

  1. What happened

    On Micron's fiscal Q4 2026 earnings call, CEO Sanjay Mehrotra said humanoid robots are expected to need memory and storage comparable to autonomous vehicles — over 200 gigabytes of memory and multiple terabytes of storage. Several physical AI customers are already sampling Micron's next-generation products.

  2. Why it matters

    If physical AI demand materializes, humanoid robots could become a significant driver of Micron's memory and storage sales by the end of this decade, extending a growth cycle already fueled by data centers. This is likely years away, but Micron is increasing investments and sampling products with customers.

  3. What to watch

    The opportunity hinges on whether humanoid robot production scales as Tesla, which shut down its Model S and Model X lines to ramp up Optimus, plans. Micron guided Q1 fiscal 2027 revenue to $60 billion–$63 billion, a 339% increase from Q1 2026 at the midpoint.

WHO IT HITSThis matters to investors holding Micron or other memory-chip stocks, as it points to a potential long-term demand source beyond data centers. It also signals to procurement teams at robotics and autonomous vehicle companies that high-bandwidth memory supply may become more competitive.

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Context & Analysis

Micron has been one of the best-performing stocks in the S&P 500 this year, rising more than 265%, largely because it is the only major U.S.-based manufacturer of high-bandwidth memory needed for AI. That data-center demand already shows up in its fiscal Q4 2026 results: revenue hit $54.23 billion, up 379% from a year ago, with net income of $37.7 billion. All four business units grew sharply, led by Core Data Center revenue at $18.0 billion, up 1,041% from $1.58 billion in Q4 2025.

Now CEO Sanjay Mehrotra is pointing to a second potential growth leg: physical AI. He cited autonomous vehicles as the benchmark, noting they require more than 200 gigabytes of memory and multiple terabytes of storage, and said humanoid robots should have comparable needs. Analyst Shay Boloor of Futurum Equities described adding 200 gigabytes of DRAM to humanoid robots as "effectively putting server-level memory into millions of machines outside the data center." Tesla's plans for its Optimus robots, including shutting down Model S and Model X lines to ramp up production, suggest this market may not be far off.

The stakes for Micron hinge on whether humanoid robot production actually scales and whether memory content per unit rises as Mehrotra anticipates. If it does, Micron's growth window could extend well beyond the current AI infrastructure build-out. But that outcome is uncertain, and the timeline — by the end of this decade, according to Mehrotra — leaves room for both technical and market delays. For now, the immediate driver remains data centers, as reflected in the company's strong Q1 fiscal 2027 guidance of $60 billion to $63 billion.

FAQ
How much memory do humanoid robots need?
Micron CEO Sanjay Mehrotra said humanoid robots are expected to have comparable memory and storage requirements to autonomous vehicles, which require more than 200 gigabytes of memory and multiple terabytes of storage.
What did Micron guide for next quarter?
Micron guided revenue between $60 billion and $63 billion for the first quarter of fiscal 2027. The midpoint would represent a 339% increase from Q1 2026 revenue of $13.64 billion.
Is Micron already working with robotics customers?
Yes, Mehrotra said several physical AI customers are sampling Micron's next-generation products. Micron is also increasing investments in its technology roadmap to prepare for this opportunity.
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What is actually new here?
What is new here is Micron's CEO specifically framing humanoid robots as the next major memory demand driver, with comparable needs to autonomous vehicles, and confirming that physical AI customers are already sampling its next-generation products [1]. - The broader physical AI field was already advancing, with Intel noting machines can now assemble car parts in under a minute, so Micron's announcement is a specific memory-industry development rather than the first sign of robotics progress [1][2]. - Renesas opened a physical AI and robotics lab in Beijing in August, and McKinsey said Japanese suppliers can cover almost all key humanoid robot components, showing the robotics supply chain was already organizing before Micron's memory-focused announcement [1][3][4].SourcesMicron CEO Sanjay Mehrotra sees humanoid robots as next AI memory driver (AIToday, 2026-10-01)Intel director: Physical AI advances as machines assemble car parts in under a minute (AIToday, 2026-09-25)Renesas opens physical AI and robotics lab in Beijing (AIToday, 2026-08-27)McKinsey: Japan suppliers can cover almost all humanoid robot parts (AIToday, 2026-09-24)

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