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ToggleWhen billionaire Philippe Laffont added Micron to his Coat UI portfolio in the second quarter of 2026, it raised eyebrows across the street. Laffont isn’t known for random picks; his fund has a reputation for spotting technology trends early. That alone makes his recent purchase worth a second look. He’s been bullish on cloud and AI infrastructure for years, so a fresh stake in a memory‑chip maker feels like a signal, not a coincidence. I started digging because a single high‑profile investor can sometimes highlight a story that the broader market hasn’t fully priced in yet.
Artificial‑intelligence models are hungry for fast, high‑capacity memory. Training a large language model can consume terabytes of data, and the bottleneck is often the speed at which that data moves in and out of the processor. Micron supplies the high‑bandwidth memory (HBM) and GDDR chips that sit right next to GPUs in data‑center servers. Their recent roadmap promises 24‑gigabit per‑pin HBM that can keep up with the next generation of AI accelerators. In plain terms, if AI workloads keep growing, the demand for the kind of chips Micron makes should rise alongside them.
Micron’s Q2 earnings showed a 12 % year‑over‑year revenue increase, driven largely by the data‑center segment. The company posted $5.4 billion in sales, beating consensus estimates by roughly $200 million. Margins improved modestly, and cash flow turned positive after a year of heavy capex. On the valuation side, Micron trades at about 8 times forward earnings, which is a discount to the broader semiconductor index that hovers near 12 times. The price‑to‑sales multiple sits around 1.5, still lower than the average for memory peers. Those numbers suggest the stock isn’t wildly over‑priced, especially if AI demand continues to accelerate.
Even with a promising growth story, Micron faces real headwinds. The memory market is famously cyclical; a sudden oversupply can push prices down fast. Competition from Samsung and SK Hynix is fierce, and those rivals often have deeper pockets for R&D and capacity expansion. Geopolitical tensions could also disrupt supply chains, especially as China looks to build its own semiconductor ecosystem. Finally, Micron’s exposure to consumer DRAM—think smartphones and PCs—means a slowdown in those markets could bleed into overall results. Investors need to keep these risks in mind when weighing a potential purchase.
If you’re thinking about adding Micron to a portfolio now, you’d likely target a price near the current $58‑$60 range. At that level, a 20 % upside would bring the stock to roughly $72, which aligns with a forward earnings multiple of about 10 times—still below the sector average. A reasonable target price could be set using a discounted cash‑flow model that assumes a 10 % annual growth in data‑center memory revenue for the next five years, then a gradual taper to 4 % long‑term. That approach yields an intrinsic value in the low‑70s, giving a modest margin of safety if the AI memory demand stays on track.
When you stack Micron against Samsung and SK Hynix, a few differences pop up. Samsung dominates the high‑end HBM market and enjoys economies of scale that keep its pricing aggressive. SK Hynix, meanwhile, has been a fast follower, quickly adopting new process nodes. Micron’s strength lies in its agility; the company can roll out new memory generations on a slightly faster cadence than its larger rivals. It also has a strong relationship with U.S. AI chip makers like NVIDIA and AMD, which can translate into steady design wins. While the peers have larger market caps, Micron’s valuation gap gives it a potential upside that many investors find attractive.
Philippe Laffont’s Q2 stake in Micron is a reminder that seasoned investors still see a story worth telling in the memory space. The fundamentals—growing AI workloads, a solid product roadmap, and a reasonable valuation—make a case for a measured buy. Yet the cyclical nature of the industry and stiff competition mean the upside isn’t guaranteed. For a portfolio that can tolerate some volatility, Micron looks like a candidate that could benefit from the AI boom without demanding a premium price. In short, I’d consider a modest position, keep an eye on supply‑demand dynamics, and let the stock ride the AI wave with a healthy dose of caution.
Source: Original Article



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