The Most Important AI Stock That Doesn’t Make Chips

AI demand keeps spreading through the chip supply chain, and one equipment leader still controls the hardest part.

May 26, 2026

The AI trade is still bigger than Nvidia. This edition’s long pick sits deeper in the supply chain, where the real manufacturing constraints live.

As investors look for AI exposure beyond the most crowded U.S. names, one chip-equipment leader stands out because it sells the machines that make advanced semiconductors possible.

Income Strategy (Sponsored)

His official paycheck? $400,000 a year.

But the real story is somewhere else: As much as $250,000 per month… from a single source.

It’s not real estate.

It’s not the stock market.

So what’s actually producing this level of cash flow — and why are more investors turning to it today?

Never Miss Our Top Tech Recommendations Again!

We now send our tech picks via text, too, so you’ll get the same tech breakout news without having to open your inbox.

Consumer Platforms

IBM Is Turning AI Into A Fan Engagement Machine

IBM (NYSE: IBM) is expanding its AI strategy through Formula One by rebuilding Ferrari’s fan platform around personalization, live data, and AI-generated content.

Formula One already produces massive amounts of real-time race data.

IBM is now using that data to create interactive experiences, AI-written summaries, predictions, fan conversations, and personalized engagement tools inside Ferrari’s app ecosystem.

Sports partnerships are becoming one of the biggest real-world showcases for enterprise AI systems.

Fan Apps Start Looking Like AI Platforms

Ferrari’s app is no longer being treated like a simple companion product.

IBM helped transform it into an always-on engagement system with AI companions, personalized content feeds, games, race insights, and behavioral analysis tools, designed to keep fans interacting year-round rather than just during races.

Engagement metrics have already begun to climb as Formula One’s audience rapidly expands globally, especially among younger and newer fans entering the sport through streaming and digital platforms.

Sports Become A Testing Ground For Enterprise AI

IBM’s broader strategy goes far beyond racing.

Sports create ideal environments for AI because they combine massive live data streams, emotionally engaged audiences, opportunities for personalization, and continuous engagement.

Lessons learned in sports apps can later be applied to retail, media, customer service, and enterprise platforms. Ferrari may be the public-facing partnership, but the larger signal is much bigger.

IBM is positioning itself as the infrastructure layer powering how companies use AI to build deeper relationships with consumers in real time.

Cybersecurity

Apple Keeps Hardening The iPhone Ahead Of iOS 27

Apple (NASDAQ: AAPL) is preparing another iPhone software update just weeks after releasing iOS 26.5.

The upcoming iOS 26.5.1 release is expected to focus heavily on security patches and bug fixes rather than major new features.

Rapid follow-up updates like this usually signal that Apple is addressing vulnerabilities or stability problems that could not wait for the next major release cycle.

Security Updates Become More Aggressive

Apple has been accelerating its approach to iPhone security over the past year.

Smaller updates are increasingly used to patch vulnerabilities quietly, improve system stability, and close gaps before they become larger problems.

Cybersecurity is becoming one of the biggest competitive layers in the smartphone industry as AI, cloud syncing, and connected apps expand the attack surface around mobile devices.

iPhone Software Strategy Starts Shifting

iOS 26.5.1 also sets the stage for iOS 26.6 and eventually iOS 27 later this year. Major redesigns and AI features tend to grab headlines during Apple’s developer events.

Still, smaller security-focused updates often reveal where the company is spending most of its engineering attention behind the scenes.

Apple is increasingly treating the iPhone less like a static device and more like a continuously patched security platform that evolves every few weeks.

IPO Filing Shock (Sponsored)

It was supposed to be confidential...

Right now, 21 banks are lining up to underwrite the $1.75 TRILLION deal - JPMorgan, Goldman Sachs, Morgan Stanley.

June is the target date for launch...

That gives everyday Americans a small window to get positioned before Wall Street insiders gobble up all the profits.

Data Centers

NVIDIA's New Vera CPU Is Taking Aim At Intel And AMD

NVIDIA's (NASDAQ: NVDA) upcoming Vera CPU is starting to show why the company no longer wants to be seen as only a GPU giant.

Early benchmark results suggest the ARM-based processor is delivering performance levels that rival high-end Intel and AMD server chips while targeting modern AI workloads.

The Vera platform uses Nvidia's in-house Olympus CPU cores and is designed specifically for large-scale AI infrastructure, particularly agentic AI systems and next-generation data center environments.

AI Infrastructure Race Gets More Competitive

Most attention around AI still focuses on GPUs, but CPUs remain critical for orchestrating workloads, managing systems, and supporting inference operations at scale.

NVIDIA appears to be moving aggressively toward full-stack infrastructure ownership by combining CPUs, GPUs, networking, memory, and software into tightly integrated AI systems.

Vera also introduces support for PCIe Gen 6, massive memory bandwidth, and new confidential computing capabilities designed for enterprise and cloud environments.

Linux support and compiler optimization work were already prepared well ahead of launch, signaling how serious Nvidia is about long-term CPU expansion.

Data Centers Become Nvidia's Main Battlefield

Competition inside AI infrastructure is evolving rapidly.

Intel is defending its server dominance, AMD continues pushing aggressively into AI compute, while ARM architectures are becoming far more competitive in large-scale environments.

NVIDIA's broader strategy is becoming difficult to ignore. The company is no longer trying to simply supply chips to AI companies.

NVIDIA is positioning itself to power the entire foundation layer underneath modern artificial intelligence systems.

Trivia: One of tech's greatest contrarian bets came when a rival company stepped in with a $150 million investment to save a business that was weeks from bankruptcy. Which company received that lifeline in 1997?

Login or Subscribe to participate in polls.

Recent Tech Movers

AMD (NASDAQ: AMD)

The CPU Trade Is Back on the Table

AMD is worth another look because the AI conversation is shifting.

GPUs still dominate the headlines, but CPUs are moving back into focus as agentic AI, inference workloads, and tighter global supply reshape demand.

CEO Lisa Su said AMD is working with Taiwanese partners to ramp production, and Reuters reported that supply is expected to grow through 2026, with larger expansions planned into 2027 and beyond. 

That matters because AMD is not just fighting Nvidia in accelerators. It is also positioned in a CPU market that Nvidia now sees as a $200 billion opportunity, including China.

The market is starting to treat CPUs as part of the AI infrastructure buildout again, not yesterday’s data-center story. 

The Takeaway: Buy AMD on weakness. The CPU tightness story gives the stock another AI infrastructure angle beyond the GPU fight.

The Risk: If AI CPU demand cools or China-related restrictions tighten again, the supply-ramp story loses force quickly.

Alphabet (NASDAQ: GOOGL)

The Search Fight Is Still the Main Event

Alphabet belongs in this edition because the legal overhang is still shaping the stock’s next chapter.

Google is appealing the U.S. search monopoly ruling, arguing the judge made legal errors in finding that the company illegally blocked rivals through default search deals. 

The business remains one of the strongest profit engines in tech, but the stock is not only trading on AI products anymore.

It is trading on whether the search model keeps its distribution advantage. That is the key issue investors need to track.

The Takeaway: Hold GOOGL, but do not chase it until the legal path gets cleaner. The core business is still elite, but the court fight limits the multiple.

The Risk: If remedies threaten default search deals, investors will reset expectations for the most profitable part of the company.

Rocket Lab (NASDAQ: RKLB)

Space Hype Has a Real Catalyst Again

Rocket Lab gets a spot because space stocks are back in demand ahead of the anticipated SpaceX IPO. Reuters reported that space ETFs pulled in $1.3 billion in new cash over the past month, pushing the category to $3.3 billion in assets.

That is a clear sign investors are repositioning around the space economy before the biggest private name in the sector comes public. 

Rocket Lab is not SpaceX. That matters. But it is one of the cleaner public-market ways to get exposure to launch, satellite, and space systems demand.

The sector will stay volatile, but the capital flows are now moving in its direction.

The Takeaway: Trade RKLB as the public space proxy. The SpaceX IPO setup gives the stock a live catalyst, but this is not a low-risk compounder.

The Risk: If the SpaceX excitement fades or ETF inflows reverse, RKLB loses the sentiment tailwind fast.

Tax Strategy (Sponsored)

Capital gains taxes can take a bigger bite out of your profits than expected.

Fortunately, some deductions may help reduce the impact — including:

  • Investment-related expenses

  • Cost basis adjustments

  • Certain real estate selling costs

Because rules and eligibility vary, many investors turn to fiduciary financial advisors for guidance.

The Long Pick: ASML Holding (NASDAQ: ASML)

The AI Supply Chain Still Runs Through One Gate

ASML gets the long slot because the AI market keeps coming back to the same constraint: advanced chips are only possible with advanced manufacturing.

ASML sits directly in that bottleneck. The company’s EUV machines are not optional equipment for the leading edge. They are the gatekeepers of the chip cycle.

That is why Europe’s AI stock rally matters.

Reuters reported that AI-linked European tech baskets, including semiconductor names such as ASML, Infineon, and STMicroelectronics, have driven more than two-thirds of the gains in European equities since April.

The broader European market has struggled under the weight of war and weak activity, but tech shares have moved to their highest level since 2000. 

Why This Setup Works

ASML is not a hype stock pretending to be infrastructure. It is infrastructure.

Every major AI buildout eventually runs into the same question: who can produce enough advanced chips, at the right performance level, with the right yield? ASML is central to that answer.

The story is even stronger because the market is looking beyond U.S. mega-cap concentration. Investors want AI exposure that is necessary, global, and less tied to a single model release or one quarter of cloud capex commentary.

ASML fits that profile. It is exposed to the long-term manufacturing capacity cycle, not just the next AI headline.

What Investors Miss

The easiest mistake is treating ASML like another semiconductor stock. It is better understood as a scarcity asset inside the semiconductor ecosystem.

Chip designers can compete. Foundries can battle for customers. But the highest-end manufacturing tools come from a much narrower set of suppliers, and ASML owns the most important chokepoint.

That gives the company strategic value that ordinary cyclicals do not have.

Demand can fluctuate quarter to quarter, but the long-term direction is clear: more AI chips, more advanced packaging, more foundry investment, and more need for leading-edge lithography.

What You Should Do With It

Buy ASML on pullbacks. The stock has already participated in Europe’s AI rebound, so patience matters on entry. But the thesis is strong: ASML owns one of the most important bottlenecks in the global AI supply chain.

This is not the fastest trade in the group. It is the highest-quality one.

When the market broadens from “who sells the GPU?” to “who enables the next decade of AI chip production?”, ASML belongs near the top of the list.

The Takeaway: Buy ASML on weakness. This is one of the cleanest long-term ways to own the AI chip buildout without chasing the most crowded U.S. names.

The Risk: If foundry capex slows or export controls tighten further, orders can get pushed out and the stock will trade like a cyclical again.

Everything Else

  • 💰 Seven buy-and-hold forever stocks with decades of uninterrupted payouts are named in a free report, including one with 61 consecutive years.

  • 💉 Eli Lilly is buying into vaccine deals, because apparently the obesity-drug giant wants more than one growth lane.

  • 🛰️ The Pentagon is sparring with SpaceX over a Starlink price hike during the Iran war, which is not ideal for supplier-customer energy.

  • 📱 British doctors say social media should be treated like smoking for children, which is about as subtle as a public-health alarm gets.

  • 📦 Logistics startup Stord raised $250 million at a $3 billion valuation, proving fulfillment software still has investor pull.

That's our coverage for today; thanks for reading! Reply to this email with feedback or any tech stocks you want me to check out.

Best Regards,
—Noah Zelvis
Tech Stock Insider