Micron Fell 7%. Is The AI Memory Trade Now Too Expensive?

Micron Technology, Inc. (MU) fell 7% to $940.76 on August 19 amid a semiconductor selloff as rising bond yields increased scrutiny of highly valued AI stocks. The Philadelphia Semiconductor Index dropped 5%, and Micron’s decline followed an almost 18% gain over the previous five sessions. Even after the reversal, the shares have more than tripled in 2026. The operating story remains exceptionally strong, including $22 billion of projected cash deposits and related financial commitments under multiyear supply agreements, approximately $18 billion of which will be cash deposits. For Micron Technology, Inc., the question is whether those contracts have made the memory cycle durable enough to support a valuation whose staying power depends heavily on sustained AI demand.

Micron Technology, Inc. says the agreements provide unusual visibility for the memory industry. All 16 strategic customer agreements contain take-or-pay commitments. Most have fixed prices or price bands, while a minority have no price bands, and deposit provisions do not apply uniformly. The largest agreements generally include price ceilings, trading some upside pricing for greater predictability.

Fiscal third-quarter remaining performance obligations exceeded $5 billion. The approximately $100 billion figure includes qualifying agreements signed after quarter-end and reflects 14 of the 16 agreements at minimum committed volumes and prices. Recent results explain the attention around Micron Technology, Inc.: fiscal third-quarter revenue reached $41.46 billion, non-GAAP diluted EPS was $25.11, and management guided for fourth-quarter non-GAAP diluted EPS of $31, plus or minus $1.

Bull Case: Contracts Could Extend the Cycle

The bull case for Micron Technology, Inc. is that the five-year take-or-pay structure, which management described as unprecedented for the industry, can make this upturn more durable. Management expects DRAM and NAND supply to remain tight beyond calendar 2027 as AI demand grows faster than supply. New fabrication capacity takes years to build, while high-bandwidth memory consumes manufacturing resources that might otherwise serve conventional products. Minimum volumes can reduce demand uncertainty, while fixed prices and price bands provide pricing visibility. Deposits can strengthen customer commitments where they apply. Together, the terms can support revenue visibility and margin protection.

Bear Case: Capacity and Substitution Still Matter

For Micron Technology, Inc., the more-than-threefold 2026 gain has intensified debate over how much of the current cycle is already priced in. The contracts improve visibility, but the $100 billion extends across several years and does not eliminate supply, execution, or product-mix risk.

Micron forecasts approximately $10 billion of fourth-quarter capital spending, net of anticipated government incentives. That investment is necessary to meet demand, but faster industry capacity growth could eventually restore the oversupply that has repeatedly weakened memory pricing. Qualcomm (QCOM) has also discussed AI chips designed to use cheaper memory, underscoring customers’ incentive to limit premium-memory costs. Higher bond yields add another pressure point for stocks valued on profits expected far into the future.

Insider Monkey’s Hedge Fund Data

Insider Monkey’s hedge fund database shows that 154 hedge funds held positions in Micron Technology, Inc. at the end of the first quarter, compared with 137 funds at the end of the preceding quarter. These figures reflect holdings as of March 31, 2026, and do not capture trades made after that date or investors’ reactions to the strategic customer agreements or Tuesday’s selloff.

Conclusion

Micron Technology, Inc. has made a stronger case that this memory upturn can last. Take-or-pay commitments, minimum volumes and pricing terms provide more visibility than a cycle driven mainly by short-term orders.

For Micron Technology, Inc., more durable demand does not erase cycle risk. The decline highlights the stock’s sensitivity to elevated expectations, while weaker AI spending, cheaper substitutes and faster supply growth remain separate downside risks. Contracted demand strengthens the business case, but after the stock’s extraordinary run, valuation has become the central risk.

While we acknowledge the risk and potential of MU as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame.