Feed Community

Micron bets $250 billion on US fabs. Why is the company securing future supply?

Micron yesterday announced it is raising its US investment plan to over $250 billion by 2035. That’s $50 billion more than it pledged last June. And that June pledge was itself $30 billion higher than originally planned.

In a year, the numbers have jumped by tens of billions three times in a row.

The stock reacted with a jump of over 7%, and year-to-date $MU is up more than 214%. The market simply believes. The question is whether it should.

Memory has a short memory

The memory business is one of the most cyclical in the entire tech sector. Whenever a period of euphoria arrives – be it the PC boom of the 90s, the dot-com fever around 2000, or the smartphone era after 2010 – DRAM and NAND manufacturers launch massive investments in new fabs. Capacity multiplies within a few years.

Then reality sets in, demand slows, but supply stays the same. Chip prices plunge by tens of percent and margins evaporate. Micron has lived through this repeatedly. In 2008 the company was losing money; in 2019 DRAM prices halved and profits vanished almost instantly.

The difference from past cycles is that this time the driver isn’t consumer electronics but data centers for artificial intelligence.

Micron wants to manufacture 40% of its DRAM in the US, and part of the plan includes a new fab in Clay, New York, where the company just poured its first concrete – a quarter ahead of schedule. On top of that, it’s adding $3 billion into the supply chain, of which half a billion goes to a Texas factory of GlobalWafers for silicon wafers, backed by a ten-year supply agreement.

What this means for the valuation

Micron is trading on the AI euphoria wave today, much like Nvidia $NVDA or Broadcom $AVGO. According to the company, customers already pre-booked $22 billion in memory deliveries last year. That’s an extremely strong number and shows that demand for HBM memory for AI accelerators is truly shattering records. Micron is one of the key suppliers to Nvidia, and without its chips, the new generations of AI servers simply couldn’t be built.

But investments worth a quarter of a trillion dollars spread out through 2035 mean enormous capital expenditures that will pressure free cash flow for years. The company is betting that demand for AI memory will grow faster than it can build new capacity. If that proves true, Micron could profit for a long time – high chip prices amid constrained supply are exactly what makes the memory business exceptionally profitable. But if the AI capex cycle cools before this capacity fully ramps up, the classic scenario awaits Micron: new production comes online just as demand is already fading, prices drop, and margins collapse just like in past cycles.

Moreover, the current valuation already embodies a lot of optimism. After a 200%+ surge in a year, the market isn’t pricing Micron as a cyclical commodity company but as a structural winner in AI infrastructure. That’s a big difference in expectations – and a big difference in risk if the reality turns out to be somewhere in between.

Investment thesis

I respect Micron because the company is doing exactly what it should – capitalizing on the historically strongest demand cycle in its industry and securing capacity and raw materials for it.

But I’m cautious about the multiples the stock is trading at today. The market is currently forgiving Micron’s cyclicality because the word “AI” works wonders for multiples across the entire sector. The question I ask myself is whether this growth can justify a valuation that already assumes Micron will never return to the old cyclical downturns. The history of the memory industry says it will; we just don’t know when.

For me, this is the kind of stock where I wouldn’t want to buy after a 7% surge on euphoric news. It makes more sense to wait for the moment when the market starts to doubt, because with cyclical companies, the best entries are always when sentiment is at its worst, not its best.

VN

In my opinion, a pretty fundamental thing is missing here, and something that probably interests everyone: what should the fair price of this company actually be? I've been reading for maybe half a year how expensive it is, but I never see any earnings estimates for the coming years.

Instead of throwing peas against the wall here again, I'll insert a DCF, which any LLM will probably do for you for free in a few minutes (this one is from Claude Sonnet 5).

Micron is currently going through an unprecedented super-cycle. The last quarter (FQ3 FY2026, reported June 24) was the strongest in the company's history – revenue $41.46 billion (compared to $23.86 billion the previous quarter and $9.3 billion last year), gross margin 84.9%, EPS $25.11.

Guidance for the next quarter is even crazier – revenue $50 billion, margin ~86%. For the full FY2026, that comes to roughly $129 billion in revenue. The stock now stands at around $970, market cap over $1.1 trillion.

A key thing that is often overlooked: Micron signed 16 so-called Strategic Customer Agreements – multi-year take-or-pay contracts covering about 20% of DRAM volume and one-third of NAND, with a cumulative minimum value of around $100 billion and floor prices that are supposed to guarantee margins above the company's historical peak (62%). Customers put down $22 billion in deposits/letters of credit. This week, SCA agreements with Ford and GM on automotive supply were added. This is the first time the memory business is trying to break free from a purely commodity cycle.

Demand is mainly driven by hyperscalers – Microsoft, Amazon, Google, and Meta will pour a combined roughly $725 billion into AI infrastructure this year (up 77% year/year), analysts expect over $1 trillion in 2027. Memory already accounts for 30% of hyperscalers' data center capex this year, 4x more than in 2023. Alongside that, a classic PC/mobile refresh cycle is underway (paradoxically, higher prices push down unit phone sales by about 14% in 2026 according to IDC, but ASP rises faster, so segment revenue still goes up) and smaller but stable automotive/robotics/defense/aerospace/healthcare segments, which act more as a margin cushion than a main driver.

Now to the main risk – cyclicality. The market is quite sharply divided into two camps.

Bull side: Goldman expects the worst memory shortage in 15 years (DRAM deficit 4.9%, HBM 5.1% in 2026, 2027 revision up to 5.9%), new capacities from Samsung and SK Hynix won't come online before 2H 2027, fab construction takes 3–5 years.

Bear side: the stock recently dropped almost 10% due to fears that SK Hynix's IPO ($29 billion on Nasdaq) will flood the market, Samsung + SK Hynix have investment plans representing a combined threat of around $500 billion for the memory market, and Michael Burry publicly bet against the sector on a classic cyclical collapse thesis. MU's valuation fell from 11x to 7x forward P/E within one week.

I tried a DCF with WACC 12% (beta ~2.15, the company has net cash, minimal debt) and terminal growth of 3%, in three scenarios for FY2026–2030:

Bull (super-cycle continues): revenue grows from $129 billion to $280 billion, margin gradually falls from 80% to 55%, EPS peaks around $165 in FY2028. Fair value comes out to roughly $1400–1700/share. Base (mild normalization from FY2028, SCA floors cushion the drop): revenue $129 → $205 billion, margin falls from 80% to 45% and then stabilizes at ~48%, EPS drops from $115 (FY27) to $55 (FY29) and slightly recovers. Fair value about $850–1050/share.

Bear (classic memory bust – Burry thesis): FY2028 revenue plunges from $150 to $120 billion, margin collapses to 28–35%, EPS to $5–15. Fair value only $350–480/share.

Probability-weighted (say 30/45/25%) gives a fair value of roughly $900–1000/share, i.e., about where the stock is now.

My conclusion: a bet on Micron now hinges on the question of whether SCA contracts + AI demand have indeed structurally changed the memory cycle, or whether it's just an extreme but temporary phase that will end in a classic price collapse once Samsung/SK Hynix/Micron complete announced capacities (2027–2028). I would monitor mainly the pace at which SCAs replace spot sales, the actual timing of Idaho ID1 (mid-2027), and whether hyperscaler capex really hits that $1 trillion in 2027, or whether signs of a slowdown in AI investments appear.

PG

Great analysis. I agree and the stock has had its biggest rally recently. For me, it’s too late to add more. I'm now focusing more on big tech. Yesterday, for example, I bought more $MSFT, which is on sale and currently significantly undervalued.

VS

Moc děkuju, souhlasím, že zrovna $MSFT je podle mě podhodnocený.

We use essential cookies to run the website and optional analytics cookies to measure usage. See our Privacy Policy.