Here Are My Top 5 Stocks for September

The article argues that the AI build-out will dominate for the fifth straight year, citing projected AI-driven growth across the supply chain. Wall Street expects TSMC 2027 sales to rise ~34% and Micron fiscal 2027 revenue (ending Aug 2027) to grow ~85%, while Nvidia targets ~70% growth next year and is closing in on $100B+ quarterly GPU-unit revenue. It also points to accelerating hyperscaler demand—AWS Q2 cloud growth at 37% YoY (up from 28% in Q1) and Google Cloud Q2 growth at 82% (up from 63% in Q1)—with both companies spending about ~$200B on data center capex this year.

Analysis

The market is still treating AI as a single-factor trade, but the better way to frame it is a bottleneck trade: scarce leading-edge capacity and memory supply should keep pricing power with TSM and MU until incremental wafer starts or HBM supply meaningfully catch up. That favors upstream names in the next 1-3 months, but the longer-duration risk is that the value capture migrates from chips to the buyers of compute once hyperscaler workloads monetize, which would cap multiple expansion in NVDA and eventually compress scarcity premiums across the supply chain.

Among the hyperscalers, AMZN and GOOG are the cleaner second-order beneficiaries because their capex is already being converted into revenue-bearing cloud usage, but the near-term burden is margin dilution and free-cash-flow optics while depreciation ramps ahead of monetization. In other words, the stocks can outperform even if reported earnings quality looks worse for a few quarters, as long as utilization keeps rising; if utilization stalls, these become classic "capex first, payback later" balance-sheet stories rather than growth compounders.

The contrarian view is that the consensus is extrapolating 2027 demand without enough skepticism on supply normalization. If AI server lead times shorten or hyperscaler capex growth slows, NVDA and MU are the first names to de-rate because their forecasts already embed sustained scarcity, while TSM is more insulated by its choke-point status and diversified customer base. The key falsifier is not AI enthusiasm; it is any evidence of cloud capex flattening or memory pricing peaking over the next 1-2 quarters.

Key Decisions for Investors

• Long TSM / short NVDA as a valuation-vs-bottleneck pair for 3-6 months: keep exposure to the supply constraint while reducing dependence on perfection in NVDA's 2027 growth narrative.
• Add AMZN and GOOG on pullbacks into the next earnings cycle: 6-12 month setup is best if cloud revenue keeps outrunning depreciation drag; exit if cloud growth decelerates for two consecutive quarters.
• Trade MU tactically, not structurally: buy only on evidence that HBM and DRAM pricing remains firm into the next memory print; fade rallies if spot pricing rolls over, since MU is the fastest to reverse on supply normalization.
• Set a risk alert on hyperscaler capex guides: if AMZN/GOOG capex growth slows below current run rates, reduce exposure across the whole AI hardware basket because the de-rating would likely hit NVDA and MU first.