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EDIT: Adding TLDR Summary - Micron and memory still underpriced. Spending will continue forever because chips only have lifespan of 3-5 years unlike buildings. Demand comes from commercial businesses not consumers anymore, so no drastic cycle down. See you behind Wendy's (I will own the Wendy's).
Yes, I used AI to create this post because it is easier than typing it all out myself. Sure AI fluffs it all up a bit, but my main arguments still hold. Prove me wrong.
# The Thesis: Memory is No Longer "Just" a Commodity
If you haven't been paying attention, memory stocks have been on an absolute tear. The AI spending boom has created a "perfect storm": a consolidated market with very few producers and skyrocketing demand that has sent prices vertical.
The bears will tell you the same old story: *"Memory is cyclical. Pricing will inevitably crater once the hyperscalers (Google, Meta, Microsoft) finish their Capex binge."*
I believe this "cyclical" label is outdated for this specific era. Here’s why the AI memory cycle is structurally different.
# 1. Capex Divergence: Hardware vs. Infrastructure
When people see $100B+ Capex numbers, they fear a "one-and-done" spending event. But look closer at what they are buying:
* **Infrastructure (Buildings/Power):** This is largely a one-time cost that lasts decades.
* **Chips (Computing/Memory):** Chips have a short lifespan, typically **3 to 5 years**.
We aren't just looking at a build-out; we are looking at a **permanent replacement cycle**. As existing AI chips reach their lifespan or become obsolete due to the rapid pace of innovation (more capacity, higher efficiency), these companies *must* keep spending to remain competitive. You don't build a $10B data center and then let the chips inside it rot; you upgrade them.
# 2. The Shift: Consumer Fluctuation vs. Commercial Contracts
Previous memory cycles were fragile because they relied on fickle consumer demand (PCs and smartphones). **AI is built on commercial business demand.**
Micron has strategically shifted away from volatile consumer products to focus on the enterprise. They are now signing **3–5 year contracts** that span the entire lifetime of the memory chips.
* **Business Efficiency:** Companies aren't using AI for fun; they see tangible gains in coding, document review, and customer service.
* **Agentic AI:** As we move toward autonomous AI agents, the demand for high-bandwidth memory (HBM) will only accelerate. Business spending is "sticky"—it stays at current levels or grows as adoption spreads.
# Now, The Valuation Disconnect
Despite the massive rally in 2026, the market is still pricing Micron closer to the cyclical commodity play rather than the high-growth AI infrastructure company it is.
# Earnings Power (The Math)
To understand the disconnect, we have to look at the Forward P/E, which is calculated by taking the Current Share Price and dividing it by the Projected Annualized EPS for the next 12 months.
Here is the current run-rate based on the most recent reporting:
* Most Recent Quarter (Q2 2026) Actual EPS: $12.20 (Original Projection around $9)
* Projected Q3 2026 EPS: $18.88
* Projected Q4 2026 EPS: $20.10
* Projected Q1 2027 EPS: $21.50
* Projected Q2 2027 EPS: $22.40
For easy math, lets just assume $20 EPS for the next four quarters to get an $80 EPS (which could be conservative)
# Micron vs. Big Tech
Now let's compare Micron against other big tech companies. I did not check all values, and these are all best estimates. Come up with your own estimates if you want.
In this table, we look at the projected earnings (Net Income) for the next year. For Micron, we are using the **$80 EPS** target, which equates to roughly **$88 Billion in Net Income** (based on \~1.1B shares outstanding).
|**Company**|**Market Cap**|**Proj. Net Income (Next 12M)**|**Forward P/E**|
|:-|:-|:-|:-|
|**Nvidia (NVDA)**|$4.77 Trillion|\~$115 Billion|**41.5x**|
|**Microsoft (MSFT)**|$3.07 Trillion|\~$95 Billion|**32.3x**|
|**Apple (AAPL)**|$4.17 Trillion|\~$102 Billion|**40.8x**|
|**Alphabet (GOOGL)**|$4.69 Trillion|\~$108 Billion|**43.4x**|
|**Meta (META)**|$1.54 Trillion|\~$65 Billion|**23.7x**|
|**Micron (MU)**|**$717.6 Billion**|**$88 Billion**\*|**8.1x**|
# Price Targets Based on Forward P/E
Finally, if the market re-rates Micron to a multiple that matches its growth profile and commercial stability, here is where the stock lands:
|**Forward P/E Multiple**|**Implied Share Price**|**Market Cap Equivalent**|
|:-|:-|:-|
|**10x**|**$800**|\~$880 Billion|
|**15x**|**$1,200**|\~$1.32 Trillion|
|**20x**|**$1,600**|\~$1.76 Trillion|
|**25x**|**$2,000**|\~$2.20 Trillion|
|**30x**|**$2,400**|\~$2.64 Trillion|
This is not financial advice. I am long $MU and $DRAM.