These 3 growth stocks are built to win over long term

Semiconductor spending is no longer just a “cycle” story, it’s increasingly an AI infrastructure buildout that could run through the end of the decade.

Industry forecasts and Wall Street commentary point to strong multi-year growth as hyperscalers and enterprises expand data centers and networking capacity to support AI workloads.

Against that backdrop, three familiar names stand out for a simple reason: each sits on a different choke point of the AI supply chain.

ASML: The picks-and-shovels backbone

If the world is serious about more advanced chips, it has to be serious about the equipment that makes them, and ASML remains central to that conversation.

Analysts have turned more constructive as demand signals improved, with at least one prominent upgrade arguing upside from “surging EUV demand,” DRAM-related strength, and a new wave of capacity expansions and upgrades into 2026–2027. ​

The near-term tape has also supported that view.

ASML reported a sharp jump in quarterly bookings that topped analyst expectations, and its CEO cited customers becoming “markedly more optimistic” about the medium-term market thanks to stronger confidence in the durability of AI-driven demand.

Bookings matter because they are a forward-looking window into factory build plans, especially when customers are ordering the most advanced systems that tend to be planned years in advance.

Put differently: ASML isn’t simply selling machines; it’s selling visibility into where the next generation of compute is headed.

Nvidia: The AI compute engine

Nvidia remains the market’s reference point for AI compute, and recent analyst commentary has stayed bullish even as investors debate competition, pricing, and the pace of spending.

Wolfe Research has reiterated an Outperform view at various points, arguing that company comments around Blackwell and Rubin suggest meaningful upside versus consensus expectations.

Wolfe has also described Blackwell as ramping and Rubin as on track for a second-half 2026 ramp, framing Nvidia’s roadmap as a key reason the firm sees the company maintaining leadership.

Importantly, the bull case is not just “more GPUs.”

Wolfe has highlighted a shift toward rack-scale systems: complete, data-center-ready configurations, which could support higher average selling prices and sustained margins if deployments continue as projected.

Also Read: Nvidia to partner with Indian VC firms to back startups

Micron: Memory turns strategic again

Micron’s pitch is that AI is changing what “normal” looks like for memory.

Morgan Stanley recently raised its Micron price target to $450 from $350 while reiterating an Overweight rating, tying its view to strong pricing dynamics and AI-driven demand.

In that same stream of reporting, Micron’s HBM4 supply was described as sold out for 2026, a notable data point because high-bandwidth memory (HBM) is a specialized, premium product used alongside AI accelerators.

Micron has also said its HBM supply for 2026 is fully booked and that shipments of HBM4 are underway, helping calm periodic investor worries about execution timing.

None of these stocks is “risk-free,” and valuations can compress fast when sentiment turns or supply chains hiccup.

Still, ASML, Nvidia, and Micron offer three different ways to own the same enduring theme: AI is pushing the world to buy more advanced manufacturing tools, more accelerated compute, and more high-performance memory.