The incredible 9x rally in Micron Technology's stock over the past year is a captivating phenomenon that demands our attention. With a market valuation now surpassing $800 billion, this surge is driven by a unique combination of factors. The heightened demand for high-bandwidth memory, a critical component for AI accelerators in data centers, has created a deficit, pushing prices up. Additionally, the potential labor strike at Samsung has added an element of volatility to the market. Micron's strategic move to secure its entire HBM output until 2026 through binding contracts is a game-changer. Hyperscalers like Microsoft, Alphabet, and Meta are expected to invest a staggering $700 billion in AI infrastructure this year, with memory being a key enabler throughout this development.
However, the memory markets are notoriously cyclical, and it's essential to examine how Micron's stock has historically fared during downturns. The memory sector has experienced several significant price crashes over the last decade and a half, primarily due to the lengthy and costly process of establishing new DRAM fabrication facilities. After construction, these facilities are often operated at full capacity, irrespective of the current price, leading to oversupply and price crashes when demand wanes.
The 2022-2023 memory crash was particularly severe, with Micron reporting a substantial GAAP net loss and taking drastic measures to reduce costs. The 2018-2019 inventory adjustment and the 2014-2016 DRAM decline also saw significant price drops, with Micron's stock plummeting by 57% and 70%, respectively. These historical collapses highlight the need for a robust investing framework to manage risk in this volatile sector.
So, what sets the current AI cycle apart? Three key structural elements differentiate it from previous upturns. Firstly, the intensity of demand for memory per AI system is no longer linear but geometric, driven by expanding model sizes and the shift from training to inference. Secondly, the contract structure for HBM sales has shifted towards long-term commitments with hyperscalers, minimizing sudden order cancellations. Thirdly, the supply of HBM is limited due to its complex production process, allowing established firms like Micron to gain market share rapidly.
Despite these differentiating factors, the risk of oversupply remains a concern. Micron's projected capital expenditures for fiscal 2026 exceed $25 billion, and SK Hynix and Samsung Electronics are also pursuing aggressive expansion. Historical trends suggest that simultaneous capacity increases by the three primary memory producers often lead to oversupply within a few years. Additionally, the cycle's dependence on sustained AI investments by hyperscalers like Alphabet and Amazon introduces another layer of risk. If these companies face pressure to deliver increased returns on their capital expenditures, spending could decelerate, impacting memory demand.
In my opinion, the Micron stock's rally is an intriguing development, but it's essential to approach it with caution. While the structural changes in the AI cycle are promising, the memory market's inherent volatility and the risk of oversupply cannot be ignored. As an investor, one must carefully consider these factors and assess whether the current rally is sustainable in the long term.
