Nvidia, Micron or Broadcom: What Would Raymond Dalio Do?

NVIDIA at $218.99 is framed as the best Dalio-style AI infrastructure buy versus Micron and Broadcom, citing Q2 FY27 revenue of $81.615B (+85.2% YoY) and Data Center revenue of $75.246B, alongside $48.55B quarterly free cash flow and Q2 guidance of $91B at 75% gross margin. Despite competition risk (Broadcom AI silicon revenue +143% to $10.8B and hyperscaler supply commitments of $119B), NVIDIA is valued at a forward P/E of 23 with a PEG of 0.55, compared with Broadcom’s P/E of 69 and Micron’s forward P/E of 5. The article flags key catalysts for repricing into the Aug. 26 earnings report, including whether Data Center networking growth remains above 100% YoY and how AI capex durability holds.

Analysis

The key market mechanism is not simply AI demand, but who captures the rent from the build-out. NVDA still looks like the cleanest toll collector because it monetizes both compute and the interconnect layer; that makes it less exposed than component peers if hyperscalers keep fragmenting spend across custom silicon and networking. AVGO is the main second-order beneficiary of that diversification, but its earnings path is more exposed to customer substitution, while MU remains the highest-beta way to play the cycle and therefore the most vulnerable when memory supply normalizes.

Near term, the setup is more about event risk than long-only conviction. With sentiment softening into the next print, the stock can easily trade on guidance quality rather than headline growth, so the next 1-3 months matter more than the next 12. The falsifier is not slower growth alone; it is any sign that capex is rotating away from general-purpose GPUs faster than NVDA can offset via networking, or that margin support slips as mix shifts to more competitive segments.

The contrarian point is that the market may be overpaying for the "cheap" AI names while underpricing NVDA's durability. MU's multiple is low because it is a textbook cycle asset, and AVGO's premium assumes its custom accelerator share gains don't cannibalize the broader AI basket. If NVDA keeps converting revenue into cash at this scale, the valuation gap versus peers can persist longer than skeptics expect, even if multiple expansion stalls.

Key Decisions for Investors

• Long NVDA into any post-earnings pullback or failed breakout below recent highs; prefer a 6-12 month call spread to define downside while keeping upside if guidance holds.
• Pair trade: long NVDA / short AVGO, 1:1 dollar neutral, for a 1-3 month relative-value expression that bets the platform winner is less substitutable than the custom-silicon alternative.
• Keep MU on watch rather than chase it here; only add on evidence that HBM pricing and order visibility remain tight after NVDA’s next print. If memory lead times shorten, fade MU first.
• Set a hard risk trigger: if NVDA guidance or data-center growth meaningfully misses expectations, exit AI beta longs and rotate to cash or broader semis hedges (SOXX puts or short SOXX against selected longs).