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AI companies are compelled to think about memory supply years ahead, not just when the next server arrives.
As models grow larger and workloads become more demanding, securing enough high-performance memory is becoming a bigger operational and financial constraint. Bank of America calls that rising burden AI’s “memory tax.”
For Micron Technologies (MU), that means stronger pricing, longer customer commitments, and a potentially more durable earnings cycle than investors have historically associated with memory chips.
In a note shared with me, Bank of America has responded by sharply increasing its forecasts after another earnings stunner, and the reason is far from being a single bottom-line beat.
BofA argues that AI is allowing memory to capture more value, while Micron gains better visibility through take-or-pay customer agreements.
Why Bank of America sees a more durable Micron earnings cycle
What changed for Bank of America is not simply that Micron beat expectations again, as it has for the past four consecutive quarters.
The bank now sees better visibility into how long elevated pricing and profitability can last, consequently raising its earnings forecasts in the process.
BofA bumped its fiscal 2027 revenue estimate to $275.4 billion from $230.3 billion and fiscal 2028 sales to $317 billion from $244.1 billion.
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<a href="https://www.thestreet.com/investing/bank-of-america-micron-stock-ai-outlook” rel=”nofollow noopener” target=”_blank”>Bank of America doubles down on Micron stock after AI bombshell
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Micron stock jumps as investors look beyond GPUs in AI chip trade
EPS estimates jumped to $171.78 from $140.24 for 2027 and $197.90 from $145.45 for 2028. It also reiterated its $1,550 price target, while calling Micron one of its top AI picks.
The conviction comes from demand becoming harder to dismiss as a temporary memory-cycle spike.
Micron now has 26 strategic customer agreements, up from 16 last quarter, covering an estimated 35% of revenue through 2030. More than 75% of fiscal 2027 output is already committed across those agreements and other customer commitments.
CEO Sanjay Mehrotra went further, saying Micron has “no line of sight” to when supply and demand return to balance. He expects memory conditions in 2027 and 2028 to be tighter than in 2026, as larger AI models, longer context windows, and greater concurrency consume more memory.
Investors initially hesitated after earnings, with Micron falling roughly 4% before reversing to finish about 3% higher.
That shows that even with Micron killing it from an earnings outlook perspective, investors still must decide how much of this AI-driven pricing power is truly structural rather than cyclical.
