Wall Street Tech Analyst: Micron Could 4x If the AI Cycle Lasts Through 2030

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D.A. Davidson Head of Technology Research Gil Luria recently appeared on CNBC to flag what he calls a contradictory set of AI-cycle assumptions baked into chip and software valuations. His call was that if AI infrastructure spending continues to compound through the end of the decade, Micron Technology (NASDAQ:MU) could be worth roughly four times its current price. However, if the AI cycle peaks sooner instead, many of today’s richly valued CPU stocks could lose a significant portion of their value.

What Gil Luria Still Sees in Micron After an 800% Run

Luria argues that memory and GPU names like Micron and Nvidia are being valued “as if the cycle is peaking now,” while CPU-leveraged names such as Intel and AI-silicon challenger Cerebras are priced as if the buildout runs another five years. By his numbers, Micron is changing hands at “8 or 9 times or lower” while CPU stocks sit at “40-50 times and higher.” Luria says memory is more critical to AI workloads and faces less competition than CPUs, so the spread “doesn’t make any sense.”

Micron reported fiscal Q3 2026 revenue of $41.456 billion, beating consensus by 17.60%, with non-GAAP EPS of $25.11 and a GAAP gross margin of 84.6%. Cloud Memory revenue alone hit $13.769 billion. CEO Sanjay Mehrotra said the results “reflect the strategic value of memory in the AI era” and pointed to newly signed multi-year Strategic Customer Agreements designed to “significantly enhance the durability and predictability” of revenue. Management guided fiscal Q4 revenue to $50.0 billion ± $1.0 billion and non-GAAP EPS of $31.00 ± $1.00.

Micron is up 296.92% year to date and 800.86% over the past year, with a forward P/E of 7. Luria frames a potential 4x for Micron as a scenario contingent on AI spending continuing through 2030.

Why the Market Could Be Overlooking Microsoft

Luria’s second call concerns Microsoft (NASDAQ:MSFT). He says Microsoft has “50% more AI compute backlog than Google” and is selling significant AI infrastructure software, yet is “getting punished for the same capex as Google.” Luria believes the company is selling data center capacity at a meaningful markup and locking in multi-year returns, so the capex is going in at attractive economics.

Microsoft is down 22.54% year to date and 24.42% over the past year, with an 18.14% one-month decline, which Luria characterized as its worst month in a couple of decades. He notes Google traded at 18x a year ago and Microsoft at 30x, a relationship that has since inverted.

Microsoft’s most recent quarter showed Azure growth of 40% year over year, an annual run rate for its AI business of $37 billion (up 123%), and commercial remaining performance obligations of $627 billion. Capex hit $30.88 billion in the quarter, the spending that flows directly into Micron’s HBM and data center memory order books. Microsoft now trades at a forward P/E of 19.

What To Watch

Luria’s framework centers on finding valuation disconnects, where the market is pricing a near-term AI peak for one company but years of continued growth for another. For Micron, the key question is whether its multi-year Strategic Customer Agreements and HBM4 ramp can sustain pricing power into 2027, when HBM4E is expected to enter volume production. For Microsoft, investors will be watching to see whether AI revenue growth catches up with the heavy capital spending that has weighed on sentiment. More than any single valuation multiple, Luria’s thesis depends on which AI growth scenario ultimately plays out.

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