Nvidia, Microsoft, SOXX Hold Near AI Market Highs

The stock has cooled from its highs, but it has not cracked. Nvidia closed at $217.44 on Sept. 1, only modestly below its recent peak near $228, while still well above its 50-day moving average of $208.80 and its 200-day moving average of $195.92. RSI readings around 44.6 suggest the shares are no longer overbought, which is exactly what you would expect in a healthy pause inside a larger advance. The technical picture does not look like a blow-off top. It looks like digestion.

And that is the bigger story. The AI bull market is being underwritten by real spending, not just story stocks. Microsoft, one of the biggest buyers of AI infrastructure, finished at $501.02, barely off its recent highs and still comfortably above both its 50-day and 200-day moving averages. Meanwhile, SOXX ended at $500.31 after a volatile stretch, showing that semiconductor investors are still willing to stick around even as the sector shakes out excess enthusiasm. In plain English: capital is still flowing into the picks-and-shovels layer of AI.

That matters economically because this spending supports a wide network of suppliers, from chip designers and foundries to data center builders and software platforms. It also helps explain why the AI trade has become so important to broader market leadership. When hyperscalers and enterprise customers keep investing, the benefits ripple through revenue, margins and hiring across the technology stack. That is the kind of cycle that can last years, not weeks.

Adalytica’s AI sentiment gauge is flashing extreme fear at the moment, even as Nvidia-specific earnings sentiment sits at greed and awareness is at extreme greed. That gap is important for long-term investors. It tells you that the market may be nervous about valuation, timing or the next earnings print, but it still sees AI as one of the few secular growth engines strong enough to justify continued spending.

Of course, no bull market goes straight up forever. Lam Research has already warned that valuations remain high, and that is a real risk. If enterprise customers keep piloting AI without scaling it into meaningful revenue, or if capex slows, the market could quickly reprice the winners. Nvidia’s own filings also show large long-term commitments tied to supply and data center infrastructure, a reminder that the entire ecosystem is betting heavily on sustained demand.

Still, investors should not confuse volatility with a broken thesis. The long-term case for AI remains rooted in infrastructure buildout, model training, inference demand and the industrialization of computing. As long as those trends keep unfolding, the companies supplying the core hardware and cloud capacity can keep growing for years.

For investors, the takeaway is simple: this is a sector to watch, not chase blindly. If you own Nvidia, Microsoft or the semiconductor ETF, the better question is whether AI can keep compounding across a diversified portfolio over the next three to five years. History says the best returns usually come from owning the winners of a real capital cycle and being patient enough to let them work. Worth watching — and for long-term investors, still worth holding.